{"id":"https://openalex.org/W2955139424","doi":"https://doi.org/10.1109/access.2019.2923583","title":"An Artificial Intelligence Driven Multi-Feature Extraction Scheme for Big Data Detection","display_name":"An Artificial Intelligence Driven Multi-Feature Extraction Scheme for Big Data Detection","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2955139424","doi":"https://doi.org/10.1109/access.2019.2923583","mag":"2955139424"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2923583","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2923583","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08744278.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08744278.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082606335","display_name":"Jian Wan","orcid":"https://orcid.org/0000-0001-9882-3029"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jian Wan","raw_affiliation_strings":["School of Computer Science and Technology, Hangzhou Dianzi University, Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Hangzhou Dianzi University, Zhejiang, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112398606","display_name":"Piaopiao Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Piaopiao Zheng","raw_affiliation_strings":["School of Information and Electronic Engineering, Zhejiang University of Science and Technology, Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Electronic Engineering, Zhejiang University of Science and Technology, Zhejiang, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043217270","display_name":"Huayou Si","orcid":null},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huayou Si","raw_affiliation_strings":["School of Computer Science and Technology, Hangzhou Dianzi University, Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0002-8022-923X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Hangzhou Dianzi University, Zhejiang, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103216531","display_name":"Naixue Xiong","orcid":"https://orcid.org/0000-0002-0394-4635"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Neal N. Xiong","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-0394-4635","affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100707786","display_name":"Wei Zhang","orcid":"https://orcid.org/0000-0003-4957-8877"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Hangzhou Dianzi University, Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Hangzhou Dianzi University, Zhejiang, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074022699","display_name":"Athanasios V. Vasilakos","orcid":"https://orcid.org/0000-0003-1902-9877"},"institutions":[{"id":"https://openalex.org/I89506807","display_name":"University of Western Macedonia","ror":"https://ror.org/00a5pe906","country_code":"GR","type":"education","lineage":["https://openalex.org/I89506807"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Athanasios V. Vasilakos","raw_affiliation_strings":["Department of Computer and Telecommunications Engineering, University of Western Macedonia, Koz\u00e1ni, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Telecommunications Engineering, University of Western Macedonia, Koz\u00e1ni, Greece","institution_ids":["https://openalex.org/I89506807"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5082606335"],"corresponding_institution_ids":["https://openalex.org/I50760025"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.3229,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":{"value":0.91178612,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"7","issue":null,"first_page":"80122","last_page":"80132"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9983999729156494,"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"}},"topics":[{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9983999729156494,"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"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.8594924807548523},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.6976149082183838},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6687539219856262},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5995162725448608},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5987095236778259},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5281596183776855},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5259937047958374},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.511118471622467},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.48752352595329285},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4695257246494293},{"id":"https://openalex.org/keywords/keyword-extraction","display_name":"Keyword extraction","score":0.44892239570617676},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.4486824572086334},{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.4272046685218811},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3999137282371521}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8594924807548523},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.6976149082183838},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6687539219856262},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5995162725448608},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5987095236778259},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5281596183776855},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5259937047958374},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.511118471622467},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.48752352595329285},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4695257246494293},{"id":"https://openalex.org/C2780288562","wikidata":"https://www.wikidata.org/wiki/Q25053353","display_name":"Keyword extraction","level":2,"score":0.44892239570617676},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.4486824572086334},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.4272046685218811},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3999137282371521},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2019.2923583","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2923583","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08744278.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:3774b9be19d74f0aa812beb457f72e70","is_oa":true,"landing_page_url":"https://doaj.org/article/3774b9be19d74f0aa812beb457f72e70","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 80122-80132 (2019)","raw_type":"article"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/137502","is_oa":true,"landing_page_url":"http://hdl.handle.net/10453/137502","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2923583","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2923583","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08744278.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5269763585","display_name":null,"funder_award_id":"2017C03047","funder_id":"https://openalex.org/F4320338110","funder_display_name":"Science and Technology Department of Zhejiang Province"},{"id":"https://openalex.org/G6423000502","display_name":null,"funder_award_id":"61502129","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7381332218","display_name":null,"funder_award_id":"61472112","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/F4320338110","display_name":"Science and Technology Department of Zhejiang Province","ror":"https://ror.org/05yj3y977"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2955139424.pdf","grobid_xml":"https://content.openalex.org/works/W2955139424.grobid-xml"},"referenced_works_count":73,"referenced_works":["https://openalex.org/W46659105","https://openalex.org/W76452404","https://openalex.org/W187450438","https://openalex.org/W1440493617","https://openalex.org/W1481847702","https://openalex.org/W1570549436","https://openalex.org/W1574901103","https://openalex.org/W1651093245","https://openalex.org/W1797002712","https://openalex.org/W1852422273","https://openalex.org/W1966193717","https://openalex.org/W1986386500","https://openalex.org/W1988769141","https://openalex.org/W1998224037","https://openalex.org/W2007760849","https://openalex.org/W2008618977","https://openalex.org/W2022166150","https://openalex.org/W2036139138","https://openalex.org/W2049342557","https://openalex.org/W2066727938","https://openalex.org/W2069140227","https://openalex.org/W2096891167","https://openalex.org/W2107117509","https://openalex.org/W2107766802","https://openalex.org/W2108454922","https://openalex.org/W2131074607","https://openalex.org/W2135909747","https://openalex.org/W2141222516","https://openalex.org/W2149525521","https://openalex.org/W2161160262","https://openalex.org/W2165612380","https://openalex.org/W2169279737","https://openalex.org/W2251955066","https://openalex.org/W2264549447","https://openalex.org/W2285144687","https://openalex.org/W2293193046","https://openalex.org/W2407338347","https://openalex.org/W2462044331","https://openalex.org/W2462800081","https://openalex.org/W2512963549","https://openalex.org/W2586657483","https://openalex.org/W2586786614","https://openalex.org/W2604265436","https://openalex.org/W2677240081","https://openalex.org/W2747300623","https://openalex.org/W2780734817","https://openalex.org/W2793847531","https://openalex.org/W2800009858","https://openalex.org/W2811311845","https://openalex.org/W2887922354","https://openalex.org/W2895919385","https://openalex.org/W2897012459","https://openalex.org/W2905974985","https://openalex.org/W2909814607","https://openalex.org/W2992702270","https://openalex.org/W4250860020","https://openalex.org/W4251179747","https://openalex.org/W6602002561","https://openalex.org/W6603120341","https://openalex.org/W6628547078","https://openalex.org/W6628809325","https://openalex.org/W6634200826","https://openalex.org/W6637231022","https://openalex.org/W6637376262","https://openalex.org/W6638931011","https://openalex.org/W6680392773","https://openalex.org/W6680753128","https://openalex.org/W6697402867","https://openalex.org/W6714112401","https://openalex.org/W6719141259","https://openalex.org/W6726298457","https://openalex.org/W6752903492","https://openalex.org/W6770519147"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4405901645","https://openalex.org/W4394895745","https://openalex.org/W4247566972","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W2910064364","https://openalex.org/W4200136508"],"abstract_inverted_index":{"The":[0],"Internet":[1],"improves":[2],"the":[3,9,31,100,110,117,143,159,179,192,196,210,216,222,226],"speed":[4],"of":[5,11,28,99,120,164,198],"information":[6,46],"dissemination,":[7],"and":[8,17,57,69,81,105,155,162,176,185,194,221],"scale":[10],"unstructured":[12],"text":[13],"data":[14,29,50,65,90],"is":[15,35,93,103,114,132,150],"expanding":[16],"increasingly":[18],"being":[19],"used":[20],"for":[21,173],"mass":[22],"communication.":[23],"Although":[24],"these":[25],"large":[26],"amounts":[27],"meet":[30],"infinite":[32],"demand,":[33],"it":[34,169],"difficult":[36],"to":[37,116,152,170,208],"find":[38],"public":[39],"focus":[40],"in":[41,189,206],"a":[42,76,125,127,146],"timely":[43],"manner.":[44],"Therefore,":[45],"extraction":[47,79],"from":[48],"big":[49,64,89],"has":[51],"become":[52],"an":[53,85,96],"important":[54],"research":[55],"issue,":[56],"there":[58],"are":[59,219],"many":[60],"published":[61],"studies":[62],"on":[63,83,135,215],"processing":[66],"at":[67],"home":[68],"abroad.":[70],"In":[71,142,178],"this":[72,112,156],"paper,":[73],"we":[74,182,201],"propose":[75],"multi-feature":[77,128,147],"keyword":[78],"method,":[80],"based":[82,134],"this,":[84],"artificial":[86],"intelligence":[87],"driven":[88],"MFE":[91],"scheme":[92,102,113],"designed,":[94],"then":[95],"application":[97],"example":[98],"general":[101],"expanded":[104],"detailed.":[106],"Taking":[107],"news":[108,175,199,217],"as":[109],"carrier,":[111],"applied":[115],"algorithm":[118,131],"design":[119],"hot":[121,187],"event":[122],"detection.":[123],"As":[124],"result,":[126],"fusion":[129,148],"clustering":[130,184],"proposed":[133],"user":[136],"attention":[137],"with":[138,191],"two":[139],"main":[140],"stages.":[141],"first":[144],"stage,":[145,181],"model":[149,157],"developed":[151],"evaluate":[153],"keywords,":[154],"combines":[158],"term":[160],"frequency":[161],"part":[163],"speech":[165],"features.":[166],"We":[167],"use":[168],"extract":[171],"keywords":[172],"representing":[174],"events.":[177],"second":[180],"perform":[183],"detect":[186],"events":[188],"accordance":[190],"procedure,":[193],"during":[195],"composition":[197],"clusters,":[200],"analyze":[202],"several":[203],"variadic":[204],"parameters":[205],"order":[207],"explore":[209],"optimal":[211],"effectiveness.":[212],"Then,":[213],"experiments":[214],"corpus":[218],"conducted,":[220],"results":[223],"show":[224],"that":[225],"approach":[227],"presented":[228],"herein":[229],"performs":[230],"well.":[231]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}