{"id":"https://openalex.org/W2913530905","doi":"https://doi.org/10.3390/rs11030342","title":"Content-Sensitive Multilevel Point Cluster Construction for ALS Point Cloud Classification","display_name":"Content-Sensitive Multilevel Point Cluster Construction for ALS Point Cloud Classification","publication_year":2019,"publication_date":"2019-02-09","ids":{"openalex":"https://openalex.org/W2913530905","doi":"https://doi.org/10.3390/rs11030342","mag":"2913530905"},"language":"en","primary_location":{"id":"doi:10.3390/rs11030342","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11030342","pdf_url":"https://www.mdpi.com/2072-4292/11/3/342/pdf?version=1549698951","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/11/3/342/pdf?version=1549698951","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018622250","display_name":"Zongxia Xu","orcid":"https://orcid.org/0000-0001-8654-6706"},"institutions":[{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongxia Xu","raw_affiliation_strings":["Beijing Advanced Innovation Center for Imaging Theory and Technology, Capital Normal University, Beijing 100048, China","Key Lab of 3D Information Acquisition and Application, Capital Normal University, Beijing 100048, China"],"affiliations":[{"raw_affiliation_string":"Beijing Advanced Innovation Center for Imaging Theory and Technology, Capital Normal University, Beijing 100048, China","institution_ids":["https://openalex.org/I96852419"]},{"raw_affiliation_string":"Key Lab of 3D Information Acquisition and Application, Capital Normal University, Beijing 100048, China","institution_ids":["https://openalex.org/I96852419"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101584422","display_name":"Zhenxin Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114963","display_name":"Chinese Academy of Surveying and Mapping","ror":"https://ror.org/02j693n47","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114963"]},{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhenxin Zhang","raw_affiliation_strings":["Beijing Advanced Innovation Center for Imaging Theory and Technology, Capital Normal University, Beijing 100048, China","Chinese Academy of Surveying and Mapping, Beijing 100830, China","Key Lab of 3D Information Acquisition and Application, Capital Normal University, Beijing 100048, China"],"affiliations":[{"raw_affiliation_string":"Beijing Advanced Innovation Center for Imaging Theory and Technology, Capital Normal University, Beijing 100048, China","institution_ids":["https://openalex.org/I96852419"]},{"raw_affiliation_string":"Chinese Academy of Surveying and Mapping, Beijing 100830, China","institution_ids":["https://openalex.org/I4210114963"]},{"raw_affiliation_string":"Key Lab of 3D Information Acquisition and Application, Capital Normal University, Beijing 100048, China","institution_ids":["https://openalex.org/I96852419"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039088967","display_name":"Ruofei Zhong","orcid":"https://orcid.org/0000-0002-6064-4479"},"institutions":[{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ruofei Zhong","raw_affiliation_strings":["Beijing Advanced Innovation Center for Imaging Theory and Technology, Capital Normal University, Beijing 100048, China","Key Lab of 3D Information Acquisition and Application, Capital Normal University, Beijing 100048, China"],"affiliations":[{"raw_affiliation_string":"Beijing Advanced Innovation Center for Imaging Theory and Technology, Capital Normal University, Beijing 100048, China","institution_ids":["https://openalex.org/I96852419"]},{"raw_affiliation_string":"Key Lab of 3D Information Acquisition and Application, Capital Normal University, Beijing 100048, China","institution_ids":["https://openalex.org/I96852419"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013116360","display_name":"Dong Chen","orcid":"https://orcid.org/0000-0001-8118-3889"},"institutions":[{"id":"https://openalex.org/I167027274","display_name":"Nanjing Forestry University","ror":"https://ror.org/03m96p165","country_code":"CN","type":"education","lineage":["https://openalex.org/I167027274"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Chen","raw_affiliation_strings":["College of Civil Engineering, Nanjing Forestry University, Nanjing 210037, China"],"affiliations":[{"raw_affiliation_string":"College of Civil Engineering, Nanjing Forestry University, Nanjing 210037, China","institution_ids":["https://openalex.org/I167027274"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006294367","display_name":"Taochun Sun","orcid":"https://orcid.org/0000-0003-3640-6005"},"institutions":[{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Taochun Sun","raw_affiliation_strings":["Beijing Advanced Innovation Center for Imaging Theory and Technology, Capital Normal University, Beijing 100048, China","Key Lab of 3D Information Acquisition and Application, Capital Normal University, Beijing 100048, China"],"affiliations":[{"raw_affiliation_string":"Beijing Advanced Innovation Center for Imaging Theory and Technology, Capital Normal University, Beijing 100048, China","institution_ids":["https://openalex.org/I96852419"]},{"raw_affiliation_string":"Key Lab of 3D Information Acquisition and Application, Capital Normal University, Beijing 100048, China","institution_ids":["https://openalex.org/I96852419"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018059402","display_name":"Xin Deng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210144399","display_name":"China Society for Urban Studies","ror":"https://ror.org/03ajz9454","country_code":"CN","type":"nonprofit","lineage":["https://openalex.org/I4210144399"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Deng","raw_affiliation_strings":["Chinese Society for Urban Studies, Beijing 100835, China"],"affiliations":[{"raw_affiliation_string":"Chinese Society for Urban Studies, Beijing 100835, China","institution_ids":["https://openalex.org/I4210144399"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100680999","display_name":"Zhen Li","orcid":null},"institutions":[{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Li","raw_affiliation_strings":["Beijing Advanced Innovation Center for Imaging Theory and Technology, Capital Normal University, Beijing 100048, China","Key Lab of 3D Information Acquisition and Application, Capital Normal University, Beijing 100048, China"],"affiliations":[{"raw_affiliation_string":"Beijing Advanced Innovation Center for Imaging Theory and Technology, Capital Normal University, Beijing 100048, China","institution_ids":["https://openalex.org/I96852419"]},{"raw_affiliation_string":"Key Lab of 3D Information Acquisition and Application, Capital Normal University, Beijing 100048, China","institution_ids":["https://openalex.org/I96852419"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089681682","display_name":"Cheng\u2010Zhi Qin","orcid":"https://orcid.org/0000-0002-5910-9807"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210160793","display_name":"Institute of Geographic Sciences and Natural Resources Research","ror":"https://ror.org/04t1cdb72","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng-Zhi Qin","raw_affiliation_strings":["State Key Laboratory of Resources and Environmental Information System, the Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Resources and Environmental Information System, the Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China","institution_ids":["https://openalex.org/I4210160793","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5039088967","https://openalex.org/A5101584422"],"corresponding_institution_ids":["https://openalex.org/I4210114963","https://openalex.org/I96852419"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.6866,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.66988918,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"11","issue":"3","first_page":"342","last_page":"342"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9805999994277954,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.7607190608978271},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6518071293830872},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5800238251686096},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5510884523391724},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.53675377368927},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4167127311229706},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32096511125564575},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2786825895309448},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.12605193257331848}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7607190608978271},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6518071293830872},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5800238251686096},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5510884523391724},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.53675377368927},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4167127311229706},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32096511125564575},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2786825895309448},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.12605193257331848}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs11030342","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11030342","pdf_url":"https://www.mdpi.com/2072-4292/11/3/342/pdf?version=1549698951","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:fcecd419148a4f569b1e9be4e89c646d","is_oa":true,"landing_page_url":"https://doaj.org/article/fcecd419148a4f569b1e9be4e89c646d","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 11, Iss 3, p 342 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs11030342","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11030342","pdf_url":"https://www.mdpi.com/2072-4292/11/3/342/pdf?version=1549698951","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.7300000190734863,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2876923615","display_name":null,"funder_award_id":"null","funder_id":"https://openalex.org/F4320326832","funder_display_name":"State Key Laboratory of Resources and Environmental Information System"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3879756750","display_name":null,"funder_award_id":"41701533","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7565300554","display_name":null,"funder_award_id":"OFSLRSS201818","funder_id":"https://openalex.org/F4320326981","funder_display_name":"State Key Laboratory of Remote Sensing Science"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320326832","display_name":"State Key Laboratory of Resources and Environmental Information System","ror":null},{"id":"https://openalex.org/F4320326981","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2913530905.pdf","grobid_xml":"https://content.openalex.org/works/W2913530905.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W1797778684","https://openalex.org/W1970723574","https://openalex.org/W1985908905","https://openalex.org/W1988795814","https://openalex.org/W1994699846","https://openalex.org/W1997542300","https://openalex.org/W2001014393","https://openalex.org/W2010246407","https://openalex.org/W2015518299","https://openalex.org/W2022394120","https://openalex.org/W2022508996","https://openalex.org/W2034933046","https://openalex.org/W2052794186","https://openalex.org/W2067191022","https://openalex.org/W2102402541","https://openalex.org/W2106896169","https://openalex.org/W2107023258","https://openalex.org/W2121947440","https://openalex.org/W2122815436","https://openalex.org/W2129725504","https://openalex.org/W2143516773","https://openalex.org/W2146534786","https://openalex.org/W2149887512","https://openalex.org/W2155632542","https://openalex.org/W2171896402","https://openalex.org/W2330711204","https://openalex.org/W2399348288","https://openalex.org/W2440986827","https://openalex.org/W2471353525","https://openalex.org/W2513955405","https://openalex.org/W2594610669","https://openalex.org/W2602809673","https://openalex.org/W2626902430","https://openalex.org/W2755380397","https://openalex.org/W2766889907","https://openalex.org/W2802044904","https://openalex.org/W2963809831","https://openalex.org/W2965208779","https://openalex.org/W2996672065","https://openalex.org/W6675944681","https://openalex.org/W6678326121","https://openalex.org/W6718470890"],"related_works":["https://openalex.org/W3016928466","https://openalex.org/W4389574804","https://openalex.org/W2936725271","https://openalex.org/W3150655618","https://openalex.org/W2295788148","https://openalex.org/W1578717197","https://openalex.org/W3108295644","https://openalex.org/W2626737336","https://openalex.org/W2005998065","https://openalex.org/W2114282491"],"abstract_inverted_index":{"Airborne":[0],"laser":[1],"scanning":[2],"(ALS)":[3],"point":[4,28,64,93,130,136,146,203],"cloud":[5,29,65,204],"classification":[6,30,110,168,198],"is":[7,32,57,73,86,112,123,155,170,220],"a":[8,67],"challenge":[9],"due":[10],"to":[11,60,76,114,126,132,194,213],"factors":[12],"including":[13],"complex":[14],"scene":[15],"structure,":[16],"various":[17],"densities,":[18],"surface":[19],"morphology,":[20],"and":[21,81,107,150,160,177,218],"the":[22,47,62,77,96,100,108,115,128,140,151,166,178,197,201,206,216],"number":[23],"of":[24,46,50,91,117,144,189,200],"ground":[25,51,118],"objects.":[26,52,119],"A":[27],"method":[31,56],"presented":[33],"in":[34,44,181,205],"this":[35],"paper,":[36],"based":[37,172],"on":[38,173],"content-sensitive":[39,92,134],"multilevel":[40,135,152,174],"objects":[41],"(point":[42],"clusters)":[43],"consideration":[45],"density":[48,116],"distribution":[49],"The":[53,71,120,186],"space":[54],"projection":[55],"first":[58],"used":[59,125,212],"convert":[61],"three-dimensional":[63],"into":[66,105],"two-dimensional":[68],"(2D)":[69],"image.":[70],"image":[72],"then":[74,124],"mapped":[75],"2D":[78],"manifold":[79],"space,":[80],"restricted":[82],"centroidal":[83],"Voronoi":[84],"tessellation":[85],"built":[87],"for":[88],"initial":[89,109,129],"segmentation":[90,97],"clusters.":[94,137],"Thus,":[95],"results":[98,188],"take":[99],"entity":[101],"content":[102],"(density":[103],"distribution)":[104],"account,":[106],"unit":[111],"adapted":[113],"normalized":[121],"cut":[122],"segment":[127],"clusters":[131],"construct":[133],"Following":[138],"this,":[139],"point-based":[141],"hierarchical":[142,167],"features":[143],"each":[145,182],"cluster":[147],"are":[148,184,192,211],"extracted,":[149],"point-cluster":[153,175],"feature":[154],"constructed":[156],"by":[157],"sparse":[158],"coding":[159],"latent":[161],"Dirichlet":[162],"allocation":[163],"models.":[164],"Finally,":[165],"framework":[169],"created":[171],"features,":[176],"AdaBoost":[179],"classifiers":[180],"level":[183],"trained.":[185],"recognition":[187],"different":[190],"levels":[191],"combined":[193],"effectively":[195],"improve":[196],"accuracy":[199],"ALS":[202],"test":[207,215],"process.":[208],"Two":[209],"scenes":[210],"experimentally":[214],"method,":[217],"it":[219],"compared":[221],"with":[222],"three":[223],"other":[224],"state-of-the-art":[225],"techniques.":[226]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}