{"id":"https://openalex.org/W4386379302","doi":"https://doi.org/10.1007/s44196-023-00310-w","title":"Multi-temporal Sequential Recommendation Model Based on the Fused Learning Preferences","display_name":"Multi-temporal Sequential Recommendation Model Based on the Fused Learning Preferences","publication_year":2023,"publication_date":"2023-09-01","ids":{"openalex":"https://openalex.org/W4386379302","doi":"https://doi.org/10.1007/s44196-023-00310-w"},"language":"en","primary_location":{"id":"doi:10.1007/s44196-023-00310-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44196-023-00310-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44196-023-00310-w.pdf","source":{"id":"https://openalex.org/S190680769","display_name":"International Journal of Computational Intelligence Systems","issn_l":"1875-6883","issn":["1875-6883","1875-6891"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s44196-023-00310-w.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101772459","display_name":"Jianxia Chen","orcid":"https://orcid.org/0000-0001-6036-0698"},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianxia Chen","raw_affiliation_strings":["School of Computer Science, Hubei University of Technology, Wuhan, 430068, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology, Wuhan, 430068, China","institution_ids":["https://openalex.org/I74525822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056579234","display_name":"Liwei Pan","orcid":null},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liwei Pan","raw_affiliation_strings":["School of Computer Science, Hubei University of Technology, Wuhan, 430068, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology, Wuhan, 430068, China","institution_ids":["https://openalex.org/I74525822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053642073","display_name":"Shi Dong","orcid":"https://orcid.org/0000-0003-4616-6519"},"institutions":[{"id":"https://openalex.org/I4210093674","display_name":"Zhoukou Normal University","ror":"https://ror.org/00jjkh886","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210093674"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shi Dong","raw_affiliation_strings":["School of Computer Science and Technology, Zhoukou Normal University, Zhoukou, 466001, China"],"raw_orcid":"https://orcid.org/0000-0003-4616-6519","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Zhoukou Normal University, Zhoukou, 466001, China","institution_ids":["https://openalex.org/I4210093674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112992744","display_name":"Tianci Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianci Yu","raw_affiliation_strings":["School of Computer Science, Hubei University of Technology, Wuhan, 430068, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology, Wuhan, 430068, China","institution_ids":["https://openalex.org/I74525822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101842342","display_name":"Liang Xiao","orcid":"https://orcid.org/0000-0001-6959-4343"},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Xiao","raw_affiliation_strings":["School of Computer Science, Hubei University of Technology, Wuhan, 430068, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology, Wuhan, 430068, China","institution_ids":["https://openalex.org/I74525822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101240212","display_name":"Meihan Yao","orcid":null},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meihan Yao","raw_affiliation_strings":["School of Computer Science, Hubei University of Technology, Wuhan, 430068, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology, Wuhan, 430068, China","institution_ids":["https://openalex.org/I74525822"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101827295","display_name":"Shijie Luo","orcid":"https://orcid.org/0000-0002-3540-1504"},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shijie Luo","raw_affiliation_strings":["School of Computer Science, Hubei University of Technology, Wuhan, 430068, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology, Wuhan, 430068, China","institution_ids":["https://openalex.org/I74525822"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5053642073"],"corresponding_institution_ids":["https://openalex.org/I4210093674"],"apc_list":{"value":1390,"currency":"GBP","value_usd":1704},"apc_paid":{"value":1390,"currency":"GBP","value_usd":1704},"fwci":0.8748,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.7957237,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"16","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9587000012397766,"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":0.8170666694641113},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.7176837921142578},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.6385608315467834},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6102214455604553},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.575238049030304},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.5581148266792297},{"id":"https://openalex.org/keywords/timestamp","display_name":"Timestamp","score":0.5422696471214294},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5242895483970642},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.519029974937439},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46301835775375366},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.46098265051841736},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.4607348144054413},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.4508792757987976},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4292775094509125},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4114604890346527},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35329681634902954},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3238021731376648},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08413121104240417}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8170666694641113},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.7176837921142578},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.6385608315467834},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6102214455604553},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.575238049030304},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.5581148266792297},{"id":"https://openalex.org/C113954288","wikidata":"https://www.wikidata.org/wiki/Q186885","display_name":"Timestamp","level":2,"score":0.5422696471214294},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5242895483970642},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.519029974937439},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46301835775375366},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.46098265051841736},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.4607348144054413},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.4508792757987976},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4292775094509125},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4114604890346527},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35329681634902954},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3238021731376648},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08413121104240417},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s44196-023-00310-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44196-023-00310-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44196-023-00310-w.pdf","source":{"id":"https://openalex.org/S190680769","display_name":"International Journal of Computational Intelligence Systems","issn_l":"1875-6883","issn":["1875-6883","1875-6891"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:a2ce9bbe0994415c838f8bf871dd7d8c","is_oa":true,"landing_page_url":"https://doaj.org/article/a2ce9bbe0994415c838f8bf871dd7d8c","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":"International Journal of Computational Intelligence Systems, Vol 16, Iss 1, Pp 1-16 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s44196-023-00310-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44196-023-00310-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44196-023-00310-w.pdf","source":{"id":"https://openalex.org/S190680769","display_name":"International Journal of Computational Intelligence Systems","issn_l":"1875-6883","issn":["1875-6883","1875-6891"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386379302.pdf"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W2080320419","https://openalex.org/W2140310134","https://openalex.org/W2583674722","https://openalex.org/W2624407581","https://openalex.org/W2626454364","https://openalex.org/W2739805805","https://openalex.org/W2746011824","https://openalex.org/W2783944588","https://openalex.org/W2798868970","https://openalex.org/W2798918712","https://openalex.org/W2802187397","https://openalex.org/W2807891923","https://openalex.org/W2893230400","https://openalex.org/W2896457183","https://openalex.org/W2899457523","https://openalex.org/W2902040508","https://openalex.org/W2945827670","https://openalex.org/W2962856859","https://openalex.org/W2963367478","https://openalex.org/W2963981376","https://openalex.org/W2964296635","https://openalex.org/W2984100107","https://openalex.org/W2996931760","https://openalex.org/W3012752604","https://openalex.org/W3034329572","https://openalex.org/W3035178789","https://openalex.org/W3045200674","https://openalex.org/W3066766382","https://openalex.org/W3082538857","https://openalex.org/W3088257568","https://openalex.org/W3097021616","https://openalex.org/W3100278010","https://openalex.org/W3101707147","https://openalex.org/W3102619277","https://openalex.org/W3114085555","https://openalex.org/W3123329971","https://openalex.org/W3155208531","https://openalex.org/W3185693672","https://openalex.org/W3213484722","https://openalex.org/W4221153281","https://openalex.org/W4288083766","https://openalex.org/W4289676341","https://openalex.org/W4297695702","https://openalex.org/W4299286960","https://openalex.org/W4385245566"],"related_works":["https://openalex.org/W1484355083","https://openalex.org/W2772628444","https://openalex.org/W4220714703","https://openalex.org/W2735929803","https://openalex.org/W2170391450","https://openalex.org/W2098758514","https://openalex.org/W3008845055","https://openalex.org/W2041004656","https://openalex.org/W135044020","https://openalex.org/W4376854386"],"abstract_inverted_index":{"Abstract":[0],"Since":[1],"sequential":[2,33,129],"recommendation":[3,29,34,130,242],"can":[4],"effectively":[5],"capture":[6,190],"the":[7,14,22,26,32,95,101,115,134,143,156,161,167,179,191,200,211,226,249,254,260,265,272],"user\u2019s":[8,15,157,180],"dynamic":[9],"interaction":[10,103],"pattern":[11],"according":[12],"to":[13,48,109,154,177,189,209,231],"historical":[16,197],"interaction,":[17],"it":[18],"plays":[19],"one":[20],"of":[21,28,68,73,93,97,213,216,262],"important":[23],"roles":[24],"in":[25,45,52,100,140,219],"field":[27],"systems.":[30],"Nowadays,":[31],"models":[35,243],"based":[36,132],"on":[37,133,244],"deep":[38],"learning":[39,136,175,187],"approaches":[40],"have":[41],"achieved":[42],"good":[43],"results":[44,251],"reality":[46],"due":[47],"their":[49,86],"excellent":[50],"performance":[51,261],"information":[53,99],"retrieval":[54],"and":[55,160,183,269],"filtering.":[56],"However,":[57],"there":[58],"are":[59,78,91,223],"still":[60,64],"some":[61],"challenges":[62],"that":[63,76,253],"should":[65],"be":[66,107],"overcome":[67],"them.":[69],"A":[70],"major":[71],"disadvantage":[72],"them":[74],"is":[75],"they":[77,90],"only":[79],"considering":[80,94],"users\u2019":[81,192],"short-time":[82,162],"interests":[83,163],"while":[84],"ignoring":[85],"long-term":[87,158],"preferences.":[88],"Moreover,":[89,199],"incapable":[92],"influence":[96],"time":[98],"original":[102],"sequence,":[104,218],"which":[105,220],"could":[106],"helpful":[108],"fully":[110],"extract":[111],"various":[112],"patterns":[113],"via":[114,195],"different":[116],"temporal":[117,206],"embedding":[118,207,234],"forms.":[119],"Therefore,":[120],"this":[121,146],"paper":[122,147],"proposes":[123],"a":[124,172,184,204,217],"novel":[125],"model":[126,131,170,202,257],"named":[127,138],"multi-temporal":[128],"fused":[135],"preference":[137,194],"MTSR-FLP":[139,169,256],"short.":[141],"In":[142,165],"proposed":[144,168,201,255],"framework,":[145],"adopts":[148],"an":[149],"MLP-based":[150],"state":[151],"generation":[152],"module":[153],"consider":[155],"preferences":[159],"simultaneously.":[164],"particular,":[166],"designs":[171],"global":[173,181],"representation":[174,186],"approach":[176,188],"obtain":[178],"preference,":[182],"local":[185,193],"its":[196],"information.":[198],"develops":[203],"multiple":[205,221],"scheme":[208],"encode":[210],"positions":[212],"user\u2013item":[214],"interactions":[215],"kernels":[222],"utilized":[224],"for":[225],"absolute":[227],"or":[228],"relative":[229],"timestamps":[230],"establish":[232],"unique":[233],"matrices.":[235],"Finally,":[236],"compared":[237],"with":[238],"other":[239],"advanced":[240],"sequence":[241],"five":[245],"public":[246],"real-world":[247],"datasets,":[248],"experimental":[250],"show":[252],"has":[258],"improved":[259],"HR@10":[263],"from":[264,271],"6.68%":[266],"through":[267,274],"31.10%":[268],"NDCG@10":[270],"8.60%":[273],"42.54%.":[275]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
