{"id":"https://openalex.org/W2171275382","doi":"https://doi.org/10.1109/tip.2009.2018570","title":"Interactive Natural Image Segmentation via Spline Regression","display_name":"Interactive Natural Image Segmentation via Spline Regression","publication_year":2009,"publication_date":"2009-06-02","ids":{"openalex":"https://openalex.org/W2171275382","doi":"https://doi.org/10.1109/tip.2009.2018570","mag":"2171275382","pmid":"https://pubmed.ncbi.nlm.nih.gov/19447712"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2009.2018570","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2009.2018570","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076932826","display_name":"Shiming Xiang","orcid":"https://orcid.org/0000-0001-8184-6566"},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shiming Xiang","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China. smxiang@gmail.com","National Laboratory of Pattern Recognition NLPR, Institute of Automation, Chinese Academy and Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China. smxiang@gmail.com","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I4210112150"]},{"raw_affiliation_string":"National Laboratory of Pattern Recognition NLPR, Institute of Automation, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003222421","display_name":"Feiping Nie","orcid":"https://orcid.org/0000-0002-0871-6519"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feiping Nie","raw_affiliation_strings":["State Key Laboratory of Intelligent Technology and Systems, Tsinghua National and Technology, Department of Automation Laboratory of Information Science, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Intelligent Technology and Systems, Tsinghua National and Technology, Department of Automation Laboratory of Information Science, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100749940","display_name":"Chunxia Zhang","orcid":"https://orcid.org/0000-0003-0897-7986"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]},{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunxia Zhang","raw_affiliation_strings":["School of Software, School of Computer Science, Beijing Institute of Technology, Beijing, China","State Key Laboratory of Intelligent Technology and Systems, Tsinghua National and Technology, Department of Automation Laboratory of Information Science, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Software, School of Computer Science, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"State Key Laboratory of Intelligent Technology and Systems, Tsinghua National and Technology, Department of Automation Laboratory of Information Science, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065063835","display_name":"Changshui Zhang","orcid":"https://orcid.org/0000-0002-8088-367X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]},{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changshui Zhang","raw_affiliation_strings":["School of Software, School of Computer Science, Beijing Institute of Technology, Beijing, China","State Key Laboratory of Intelligent Technology and Systems, Tsinghua National and Technology, Department of Automation Laboratory of Information Science, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Software, School of Computer Science, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"State Key Laboratory of Intelligent Technology and Systems, Tsinghua National and Technology, Department of Automation Laboratory of Information Science, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5076932826"],"corresponding_institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I4210112150"],"apc_list":null,"apc_paid":null,"fwci":4.9211,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.95740192,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"18","issue":"7","first_page":"1623","last_page":"1632"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/spline","display_name":"Spline (mechanical)","score":0.7331700325012207},{"id":"https://openalex.org/keywords/spline-interpolation","display_name":"Spline interpolation","score":0.5857365131378174},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5487568378448486},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5387656688690186},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5232918858528137},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.49248847365379333},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.477035254240036},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45720818638801575},{"id":"https://openalex.org/keywords/thin-plate-spline","display_name":"Thin plate spline","score":0.45627373456954956},{"id":"https://openalex.org/keywords/smoothing-spline","display_name":"Smoothing spline","score":0.4475392997264862},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42960813641548157},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38845762610435486},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.3816410303115845},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3235602378845215}],"concepts":[{"id":"https://openalex.org/C10390562","wikidata":"https://www.wikidata.org/wiki/Q581809","display_name":"Spline (mechanical)","level":2,"score":0.7331700325012207},{"id":"https://openalex.org/C31447003","wikidata":"https://www.wikidata.org/wiki/Q545002","display_name":"Spline interpolation","level":3,"score":0.5857365131378174},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5487568378448486},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5387656688690186},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5232918858528137},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.49248847365379333},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.477035254240036},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45720818638801575},{"id":"https://openalex.org/C93132110","wikidata":"https://www.wikidata.org/wiki/Q7784288","display_name":"Thin plate spline","level":4,"score":0.45627373456954956},{"id":"https://openalex.org/C107457265","wikidata":"https://www.wikidata.org/wiki/Q7546460","display_name":"Smoothing spline","level":4,"score":0.4475392997264862},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42960813641548157},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38845762610435486},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.3816410303115845},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3235602378845215},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C205203396","wikidata":"https://www.wikidata.org/wiki/Q612143","display_name":"Bilinear interpolation","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010781","descriptor_name":"Photography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010781","descriptor_name":"Photography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010781","descriptor_name":"Photography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012044","descriptor_name":"Regression Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012044","descriptor_name":"Regression Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012044","descriptor_name":"Regression Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017711","descriptor_name":"Nonlinear Dynamics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017711","descriptor_name":"Nonlinear Dynamics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017711","descriptor_name":"Nonlinear Dynamics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/tip.2009.2018570","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2009.2018570","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:19447712","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/19447712","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.669.2283","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.669.2283","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.nlpr.ia.ac.cn/2009papers/gjkw/gk15.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W136124324","https://openalex.org/W200434350","https://openalex.org/W1506281249","https://openalex.org/W1534408902","https://openalex.org/W1567829791","https://openalex.org/W1588513474","https://openalex.org/W1635281584","https://openalex.org/W1785730614","https://openalex.org/W1972544340","https://openalex.org/W1979432452","https://openalex.org/W1980745035","https://openalex.org/W1995714461","https://openalex.org/W2014596061","https://openalex.org/W2035773017","https://openalex.org/W2067768205","https://openalex.org/W2068179746","https://openalex.org/W2083277843","https://openalex.org/W2103334940","https://openalex.org/W2103917701","https://openalex.org/W2104351284","https://openalex.org/W2104460869","https://openalex.org/W2106582716","https://openalex.org/W2113997865","https://openalex.org/W2121927366","https://openalex.org/W2124351162","https://openalex.org/W2125148312","https://openalex.org/W2125637308","https://openalex.org/W2128409098","https://openalex.org/W2130859329","https://openalex.org/W2131733682","https://openalex.org/W2133551294","https://openalex.org/W2136704614","https://openalex.org/W2139823104","https://openalex.org/W2146766088","https://openalex.org/W2147901574","https://openalex.org/W2149860324","https://openalex.org/W2154455818","https://openalex.org/W2156909104","https://openalex.org/W2158583680","https://openalex.org/W2169551590","https://openalex.org/W2247440048","https://openalex.org/W2293194425","https://openalex.org/W2293703294","https://openalex.org/W2294819727","https://openalex.org/W2294854402","https://openalex.org/W2799061466","https://openalex.org/W2911956715","https://openalex.org/W3099514962","https://openalex.org/W3119651796","https://openalex.org/W4205687621","https://openalex.org/W4229991028","https://openalex.org/W4234235766","https://openalex.org/W4248002887","https://openalex.org/W4248635988","https://openalex.org/W4298876635","https://openalex.org/W4300407400","https://openalex.org/W6605575789","https://openalex.org/W6608197349","https://openalex.org/W6638212498","https://openalex.org/W6675705777","https://openalex.org/W6680054411","https://openalex.org/W6680434193","https://openalex.org/W6682494755"],"related_works":["https://openalex.org/W2380799314","https://openalex.org/W2102842245","https://openalex.org/W2072793008","https://openalex.org/W2360413387","https://openalex.org/W1690623585","https://openalex.org/W2070774473","https://openalex.org/W2018229429","https://openalex.org/W1997342009","https://openalex.org/W2155124200","https://openalex.org/W2221442531"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3],"interactive":[4],"algorithm":[5,103,144],"for":[6],"segmentation":[7],"of":[8,18,34,37,49,88,93,141,150,169],"natural":[9,159],"images.":[10],"The":[11,125,138],"task":[12],"is":[13,25,54,104,128,145],"formulated":[14],"as":[15,117],"a":[16,32,35,91],"problem":[17],"spline":[19,24,51,72,99,120,136],"regression,":[20],"in":[21,27,52,147],"which":[22],"the":[23,74,108,114,142,148,151,167],"derived":[26],"Sobolev":[28],"space":[29],"and":[30,39,78,81],"has":[31,58],"form":[33],"combination":[36,86],"linear":[38,94,146],"Green's":[40],"functions.":[41],"Besides":[42],"its":[43,83,133],"nonlinear":[44],"representation":[45],"capability,":[46],"one":[47],"advantage":[48],"this":[50,71,119],"usage":[53],"that,":[55],"once":[56],"it":[57],"been":[59],"constructed,":[60],"no":[61],"parameters":[62,84],"need":[63],"to":[64,67,106,153,163],"be":[65,122,154],"tuned":[66],"data.":[68],"We":[69],"define":[70],"on":[73,157],"user":[75,109],"specified":[76,110],"foreground":[77,126],"background":[79,134],"pixels,":[80],"solve":[82],"(the":[85],"coefficients":[87],"functions)":[89],"from":[90,132],"group":[92],"equations.":[95],"To":[96],"speed":[97],"up":[98],"construction,":[100],"K-means":[101],"clustering":[102],"employed":[105],"cluster":[107,115],"pixels.":[111],"By":[112],"taking":[113],"centers":[116],"representatives,":[118],"can":[121],"easily":[123],"constructed.":[124],"object":[127],"finally":[129],"cut":[130],"out":[131],"via":[135],"interpolation.":[137],"computational":[139],"complexity":[140],"proposed":[143],"number":[149],"pixels":[152],"segmented.":[155],"Experiments":[156],"diverse":[158],"images,":[160],"with":[161],"comparison":[162],"existing":[164],"algorithms,":[165],"illustrate":[166],"validity":[168],"our":[170],"method.":[171]},"counts_by_year":[{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":5}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
