{"id":"https://openalex.org/W2158821123","doi":"https://doi.org/10.1109/jproc.2015.2474704","title":"Linked Component Analysis From Matrices to High-Order Tensors: Applications to Biomedical Data","display_name":"Linked Component Analysis From Matrices to High-Order Tensors: Applications to Biomedical Data","publication_year":2016,"publication_date":"2016-01-06","ids":{"openalex":"https://openalex.org/W2158821123","doi":"https://doi.org/10.1109/jproc.2015.2474704","mag":"2158821123"},"language":"en","primary_location":{"id":"doi:10.1109/jproc.2015.2474704","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jproc.2015.2474704","pdf_url":null,"source":{"id":"https://openalex.org/S68686220","display_name":"Proceedings of the IEEE","issn_l":"0018-9219","issn":["0018-9219","1558-2256"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the IEEE","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1508.07416","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090101808","display_name":"Guoxu Zhou","orcid":"https://orcid.org/0000-0003-1187-577X"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoxu Zhou","raw_affiliation_strings":["Laboratory for Advanced Brain Signal Processing, RIKEN, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory for Advanced Brain Signal Processing, RIKEN, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083182987","display_name":"Qibin Zhao","orcid":"https://orcid.org/0000-0002-4442-3182"},"institutions":[{"id":"https://openalex.org/I2800939219","display_name":"RIKEN Center for Brain Science","ror":"https://ror.org/04j1n1c04","country_code":"JP","type":"facility","lineage":["https://openalex.org/I2800939219","https://openalex.org/I4210110652"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Qibin Zhao","raw_affiliation_strings":["Laboratory for Advanced Brain Signal Processing, RIKEN, Brain Science Institute, Wako-shi, Saitama, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory for Advanced Brain Signal Processing, RIKEN, Brain Science Institute, Wako-shi, Saitama, Japan","institution_ids":["https://openalex.org/I2800939219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100433744","display_name":"Yu Zhang","orcid":"https://orcid.org/0000-0003-4087-6544"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Zhang","raw_affiliation_strings":["Key Laboratory for Advanced Control and Optimization for Chemical Processes, Ministry of Education, East China University of Science and Technology, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory for Advanced Control and Optimization for Chemical Processes, Ministry of Education, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111976266","display_name":"T\u00fclay Adal\u0131","orcid":null},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tulay Adali","raw_affiliation_strings":["Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, MD, USA","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043262479","display_name":"Shengli Xie","orcid":"https://orcid.org/0000-0003-2041-5214"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengli Xie","raw_affiliation_strings":["School of Automation, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018676117","display_name":"Andrzej Cichocki","orcid":"https://orcid.org/0000-0002-8364-7226"},"institutions":[{"id":"https://openalex.org/I66083562","display_name":"Systems Research Institute","ror":"https://ror.org/0111cp837","country_code":"PL","type":"facility","lineage":["https://openalex.org/I66083562","https://openalex.org/I99542240"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Andrzej Cichocki","raw_affiliation_strings":["Laboratory for Advanced Brain Signal Processing, RIKEN, Systems Research Institute Polish Academy of Science, Warsaw, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory for Advanced Brain Signal Processing, RIKEN, Systems Research Institute Polish Academy of Science, Warsaw, Poland","institution_ids":["https://openalex.org/I66083562"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":14.4591,"has_fulltext":true,"cited_by_count":191,"citation_normalized_percentile":{"value":0.9984985,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"104","issue":"2","first_page":"310","last_page":"331"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9556999802589417,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7265470623970032},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6581709980964661},{"id":"https://openalex.org/keywords/component-analysis","display_name":"Component analysis","score":0.6096417307853699},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.6067260503768921},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.602039635181427},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.573197603225708},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4935706853866577},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47563719749450684},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.41773465275764465},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3659723401069641},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31370818614959717},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18661418557167053}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7265470623970032},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6581709980964661},{"id":"https://openalex.org/C2780692498","wikidata":"https://www.wikidata.org/wiki/Q16950721","display_name":"Component analysis","level":2,"score":0.6096417307853699},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.6067260503768921},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.602039635181427},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.573197603225708},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4935706853866577},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47563719749450684},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41773465275764465},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3659723401069641},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31370818614959717},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18661418557167053},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jproc.2015.2474704","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jproc.2015.2474704","pdf_url":null,"source":{"id":"https://openalex.org/S68686220","display_name":"Proceedings of the IEEE","issn_l":"0018-9219","issn":["0018-9219","1558-2256"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the IEEE","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1508.07416","is_oa":true,"landing_page_url":"https://arxiv.org/abs/1508.07416","pdf_url":"https://arxiv.org/pdf/1508.07416","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1508.07416","is_oa":true,"landing_page_url":"https://arxiv.org/abs/1508.07416","pdf_url":"https://arxiv.org/pdf/1508.07416","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1282122117","display_name":null,"funder_award_id":"U1201253","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1774465394","display_name":null,"funder_award_id":"2014A030308009","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G4142793853","display_name":null,"funder_award_id":"61202155","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4383063531","display_name":null,"funder_award_id":"61305028","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2158821123.pdf","grobid_xml":"https://content.openalex.org/works/W2158821123.grobid-xml"},"referenced_works_count":154,"referenced_works":["https://openalex.org/W40848148","https://openalex.org/W50417968","https://openalex.org/W131886922","https://openalex.org/W227277429","https://openalex.org/W271314235","https://openalex.org/W792141054","https://openalex.org/W1246381107","https://openalex.org/W1514159701","https://openalex.org/W1525270046","https://openalex.org/W1533908847","https://openalex.org/W1568416770","https://openalex.org/W1582893002","https://openalex.org/W1608735834","https://openalex.org/W1636040588","https://openalex.org/W1755563775","https://openalex.org/W1814521481","https://openalex.org/W1825959699","https://openalex.org/W1863607633","https://openalex.org/W1878057855","https://openalex.org/W1881945180","https://openalex.org/W1893333638","https://openalex.org/W1893900968","https://openalex.org/W1902027874","https://openalex.org/W1966845080","https://openalex.org/W1967696752","https://openalex.org/W1971752899","https://openalex.org/W1973246170","https://openalex.org/W1975077471","https://openalex.org/W1979868459","https://openalex.org/W1983101182","https://openalex.org/W1983467829","https://openalex.org/W1983576072","https://openalex.org/W1985327120","https://openalex.org/W1986589478","https://openalex.org/W1989811026","https://openalex.org/W1991840148","https://openalex.org/W1995375725","https://openalex.org/W1999136078","https://openalex.org/W1999352252","https://openalex.org/W2000134594","https://openalex.org/W2002270820","https://openalex.org/W2004767547","https://openalex.org/W2006577967","https://openalex.org/W2008114373","https://openalex.org/W2013115634","https://openalex.org/W2013912476","https://openalex.org/W2014466433","https://openalex.org/W2024165284","https://openalex.org/W2024166170","https://openalex.org/W2025341678","https://openalex.org/W2027170056","https://openalex.org/W2027559251","https://openalex.org/W2031489467","https://openalex.org/W2031564282","https://openalex.org/W2033368244","https://openalex.org/W2033560557","https://openalex.org/W2035128299","https://openalex.org/W2040985763","https://openalex.org/W2043545458","https://openalex.org/W2044901395","https://openalex.org/W2047071281","https://openalex.org/W2048137305","https://openalex.org/W2049526013","https://openalex.org/W2050739887","https://openalex.org/W2055627139","https://openalex.org/W2064227455","https://openalex.org/W2065760681","https://openalex.org/W2066024605","https://openalex.org/W2066373878","https://openalex.org/W2070135644","https://openalex.org/W2074654015","https://openalex.org/W2078604986","https://openalex.org/W2079223014","https://openalex.org/W2079226880","https://openalex.org/W2081689238","https://openalex.org/W2084147096","https://openalex.org/W2089917999","https://openalex.org/W2091449379","https://openalex.org/W2091494114","https://openalex.org/W2091706139","https://openalex.org/W2094345233","https://openalex.org/W2098725211","https://openalex.org/W2100779717","https://openalex.org/W2103981232","https://openalex.org/W2106210113","https://openalex.org/W2107012213","https://openalex.org/W2108993730","https://openalex.org/W2112292531","https://openalex.org/W2113304962","https://openalex.org/W2113506774","https://openalex.org/W2114047354","https://openalex.org/W2114475573","https://openalex.org/W2117756735","https://openalex.org/W2119412403","https://openalex.org/W2119647652","https://openalex.org/W2119667497","https://openalex.org/W2120077398","https://openalex.org/W2125118959","https://openalex.org/W2125779688","https://openalex.org/W2125993358","https://openalex.org/W2126447985","https://openalex.org/W2127186632","https://openalex.org/W2127737934","https://openalex.org/W2129476543","https://openalex.org/W2130362519","https://openalex.org/W2131436045","https://openalex.org/W2132022182","https://openalex.org/W2132630054","https://openalex.org/W2133069808","https://openalex.org/W2142638745","https://openalex.org/W2142975003","https://openalex.org/W2145962650","https://openalex.org/W2147512299","https://openalex.org/W2149403928","https://openalex.org/W2149532724","https://openalex.org/W2150059498","https://openalex.org/W2151297119","https://openalex.org/W2151635492","https://openalex.org/W2154011501","https://openalex.org/W2163202748","https://openalex.org/W2163246442","https://openalex.org/W2163927692","https://openalex.org/W2164278908","https://openalex.org/W2169075713","https://openalex.org/W2172195418","https://openalex.org/W2401909077","https://openalex.org/W2490308495","https://openalex.org/W2949999799","https://openalex.org/W2951813019","https://openalex.org/W2952464298","https://openalex.org/W2963923362","https://openalex.org/W3099497510","https://openalex.org/W3099910538","https://openalex.org/W3103655579","https://openalex.org/W3104226882","https://openalex.org/W3123607434","https://openalex.org/W4213084100","https://openalex.org/W4236173595","https://openalex.org/W4237723258","https://openalex.org/W4237951138","https://openalex.org/W4246980425","https://openalex.org/W4285719527","https://openalex.org/W4292363360","https://openalex.org/W4295547509","https://openalex.org/W6622708450","https://openalex.org/W6639408265","https://openalex.org/W6639701504","https://openalex.org/W6650267568","https://openalex.org/W6677076812","https://openalex.org/W6679756777","https://openalex.org/W6681158929","https://openalex.org/W6681543329","https://openalex.org/W6684570416","https://openalex.org/W6713274167"],"related_works":["https://openalex.org/W3162204513","https://openalex.org/W2371138613","https://openalex.org/W2357256365","https://openalex.org/W2048963458","https://openalex.org/W43109613","https://openalex.org/W2359952343","https://openalex.org/W2350806976","https://openalex.org/W2084935737","https://openalex.org/W2910914527","https://openalex.org/W2004583609"],"abstract_inverted_index":{"With":[0],"the":[1,46,69,120,130,141],"increasing":[2],"availability":[3],"of":[4,15,48,61,72,123,137,156],"various":[5],"sensor":[6],"technologies,":[7],"we":[8,55,82],"now":[9],"have":[10,39],"access":[11],"to":[12,26,30,89,104,129,143,162],"large":[13],"amounts":[14],"multiblock":[16,90,98,138],"(also":[17],"called":[18],"multiset,":[19],"multirelational,":[20],"or":[21,107],"multiview)":[22],"data":[23,74,139,168],"that":[24,112],"need":[25],"be":[27],"jointly":[28],"analyzed":[29],"explore":[31],"their":[32,84,164],"latent":[33,149],"connections.":[34],"Various":[35],"component":[36,65],"analysis":[37,47,66,71,136],"methods":[38,67,101],"played":[40],"an":[41],"increasingly":[42],"important":[43,85],"role":[44],"for":[45,68,166],"such":[49,73],"coupled":[50],"data.":[51,93,124],"In":[52],"this":[53],"article,":[54],"first":[56],"provide":[57],"a":[58,76],"brief":[59],"review":[60],"existing":[62],"matrix-based":[63],"(two-way)":[64],"joint":[70],"with":[75,140,151],"focus":[77],"on":[78],"biomedical":[79,167],"applications.":[80],"Then,":[81],"discuss":[83],"extensions":[86],"and":[87,133,147,154],"generalization":[88],"multiway":[91,121],"(tensor)":[92],"We":[94],"show":[95],"how":[96],"constrained":[97],"tensor":[99],"decomposition":[100],"are":[102,113,160],"able":[103],"extract":[105,145],"similar":[106],"statistically":[108],"dependent":[109],"common":[110,132,146],"features":[111],"shared":[114],"by":[115,118],"all":[116],"blocks,":[117],"incorporating":[119],"nature":[122],"Special":[125],"emphasis":[126],"is":[127],"given":[128,161],"flexible":[131],"individual":[134,148],"feature":[135],"aim":[142],"simultaneously":[144],"components":[150],"desired":[152],"properties":[153],"types":[155],"diversity.":[157],"Illustrative":[158],"examples":[159],"demonstrate":[163],"effectiveness":[165],"analysis.":[169]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":32},{"year":2020,"cited_by_count":16},{"year":2019,"cited_by_count":36},{"year":2018,"cited_by_count":23},{"year":2017,"cited_by_count":25},{"year":2016,"cited_by_count":16},{"year":2015,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2016-06-24T00:00:00"}