{"id":"https://openalex.org/W2885822952","doi":"https://doi.org/10.1007/s12559-018-9581-x","title":"Neural Image Caption Generation with Weighted Training and Reference","display_name":"Neural Image Caption Generation with Weighted Training and Reference","publication_year":2018,"publication_date":"2018-08-08","ids":{"openalex":"https://openalex.org/W2885822952","doi":"https://doi.org/10.1007/s12559-018-9581-x","mag":"2885822952"},"language":"en","primary_location":{"id":"doi:10.1007/s12559-018-9581-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s12559-018-9581-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s12559-018-9581-x.pdf","source":{"id":"https://openalex.org/S133078663","display_name":"Cognitive Computation","issn_l":"1866-9956","issn":["1866-9956","1866-9964"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","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":"Cognitive Computation","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s12559-018-9581-x.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057732142","display_name":"Guiguang Ding","orcid":"https://orcid.org/0000-0003-0137-9975"},"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":"Guiguang Ding","raw_affiliation_strings":["School of Software, Tsinghua University, Beijing, 100084, People\u2019s Republic of China","School of Software, Tsinghua University, Beijing, 100084, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Tsinghua University, Beijing, 100084, People\u2019s Republic of China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"School of Software, Tsinghua University, Beijing, 100084, People's Republic of China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102867450","display_name":"Minghai Chen","orcid":"https://orcid.org/0009-0004-5793-8128"},"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":"Minghai Chen","raw_affiliation_strings":["School of Software, Tsinghua University, Beijing, 100084, People\u2019s Republic of China","School of Software, Tsinghua University, Beijing, 100084, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Tsinghua University, Beijing, 100084, People\u2019s Republic of China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"School of Software, Tsinghua University, Beijing, 100084, People's Republic of China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051149140","display_name":"Sicheng Zhao","orcid":"https://orcid.org/0000-0001-5843-6411"},"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":true,"raw_author_name":"Sicheng Zhao","raw_affiliation_strings":["School of Software, Tsinghua University, Beijing, 100084, People\u2019s Republic of China","School of Software, Tsinghua University, Beijing, 100084, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Tsinghua University, Beijing, 100084, People\u2019s Republic of China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"School of Software, Tsinghua University, Beijing, 100084, People's Republic of China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100334231","display_name":"Hui Chen","orcid":"https://orcid.org/0000-0003-4180-5801"},"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":"Hui Chen","raw_affiliation_strings":["School of Software, Tsinghua University, Beijing, 100084, People\u2019s Republic of China","School of Software, Tsinghua University, Beijing, 100084, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Tsinghua University, Beijing, 100084, People\u2019s Republic of China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"School of Software, Tsinghua University, Beijing, 100084, People's Republic of China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046605531","display_name":"Jungong Han","orcid":"https://orcid.org/0000-0003-4361-956X"},"institutions":[{"id":"https://openalex.org/I67415387","display_name":"Lancaster University","ror":"https://ror.org/04f2nsd36","country_code":"GB","type":"education","lineage":["https://openalex.org/I67415387"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Jungong Han","raw_affiliation_strings":["Computing and Communications Lancaster University, Lancaster, UK"],"raw_orcid":"https://orcid.org/0000-0003-4361-956X","affiliations":[{"raw_affiliation_string":"Computing and Communications Lancaster University, Lancaster, UK","institution_ids":["https://openalex.org/I67415387"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100409431","display_name":"Qiang Liu","orcid":"https://orcid.org/0000-0001-7531-4459"},"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":"Qiang Liu","raw_affiliation_strings":["School of Software, Tsinghua University, Beijing, 100084, People\u2019s Republic of China","School of Software, Tsinghua University, Beijing, 100084, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Tsinghua University, Beijing, 100084, People\u2019s Republic of China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"School of Software, Tsinghua University, Beijing, 100084, People's Republic of China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5046605531","https://openalex.org/A5051149140"],"corresponding_institution_ids":["https://openalex.org/I67415387","https://openalex.org/I99065089"],"apc_list":{"value":2790,"currency":"USD","value_usd":2790},"apc_paid":{"value":2790,"currency":"USD","value_usd":2790},"fwci":3.0412,"has_fulltext":true,"cited_by_count":58,"citation_normalized_percentile":{"value":0.92289157,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"11","issue":"6","first_page":"763","last_page":"777"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":1.0,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":1.0,"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":0.9976000189781189,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9891999959945679,"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/computer-science","display_name":"Computer science","score":0.9001733660697937},{"id":"https://openalex.org/keywords/closed-captioning","display_name":"Closed captioning","score":0.860364556312561},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6820598244667053},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6419845819473267},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6110812425613403},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5655047297477722},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.542958676815033},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5141201615333557},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.43076205253601074},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.41541197896003723},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3642122745513916},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3357461094856262}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9001733660697937},{"id":"https://openalex.org/C157657479","wikidata":"https://www.wikidata.org/wiki/Q2367247","display_name":"Closed captioning","level":3,"score":0.860364556312561},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6820598244667053},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6419845819473267},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6110812425613403},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5655047297477722},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.542958676815033},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5141201615333557},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.43076205253601074},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.41541197896003723},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3642122745513916},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3357461094856262},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s12559-018-9581-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s12559-018-9581-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s12559-018-9581-x.pdf","source":{"id":"https://openalex.org/S133078663","display_name":"Cognitive Computation","issn_l":"1866-9956","issn":["1866-9956","1866-9964"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","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":"Cognitive Computation","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s12559-018-9581-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s12559-018-9581-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s12559-018-9581-x.pdf","source":{"id":"https://openalex.org/S133078663","display_name":"Cognitive Computation","issn_l":"1866-9956","issn":["1866-9956","1866-9964"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","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":"Cognitive Computation","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.8199999928474426}],"awards":[{"id":"https://openalex.org/G187184461","display_name":"\u57fa\u4e8e\u6df1\u5ea6\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u7684\u5bf9\u8c61\u68c0\u6d4b\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61571269","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3537034801","display_name":null,"funder_award_id":"2018T110100, 2017M610897","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G3692119182","display_name":null,"funder_award_id":"61571269, 61701273","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3770199858","display_name":null,"funder_award_id":"2017M610897","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G5574925684","display_name":null,"funder_award_id":"61701273","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/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2885822952.pdf","grobid_xml":"https://content.openalex.org/works/W2885822952.grobid-xml"},"referenced_works_count":78,"referenced_works":["https://openalex.org/W8316075","https://openalex.org/W68733909","https://openalex.org/W92662927","https://openalex.org/W416390490","https://openalex.org/W1505019656","https://openalex.org/W1563686443","https://openalex.org/W1573040851","https://openalex.org/W1687846465","https://openalex.org/W1785460851","https://openalex.org/W1811254738","https://openalex.org/W1858383477","https://openalex.org/W1889081078","https://openalex.org/W1895577753","https://openalex.org/W1897761818","https://openalex.org/W1905882502","https://openalex.org/W1906374873","https://openalex.org/W1931639407","https://openalex.org/W1947481528","https://openalex.org/W2003540635","https://openalex.org/W2013086862","https://openalex.org/W2023460117","https://openalex.org/W2064675550","https://openalex.org/W2065551078","https://openalex.org/W2066134726","https://openalex.org/W2074356411","https://openalex.org/W2092841641","https://openalex.org/W2101105183","https://openalex.org/W2105103432","https://openalex.org/W2108598243","https://openalex.org/W2118020555","https://openalex.org/W2130942839","https://openalex.org/W2143449221","https://openalex.org/W2147527908","https://openalex.org/W2157331557","https://openalex.org/W2159243025","https://openalex.org/W2163605009","https://openalex.org/W2164084182","https://openalex.org/W2176263492","https://openalex.org/W2185175083","https://openalex.org/W2194775991","https://openalex.org/W2195242508","https://openalex.org/W2220981600","https://openalex.org/W2251222643","https://openalex.org/W2295328086","https://openalex.org/W2296385829","https://openalex.org/W2302086703","https://openalex.org/W2512032049","https://openalex.org/W2531468424","https://openalex.org/W2550553598","https://openalex.org/W2552161745","https://openalex.org/W2552972371","https://openalex.org/W2558533273","https://openalex.org/W2566724240","https://openalex.org/W2573132524","https://openalex.org/W2575051170","https://openalex.org/W2575842049","https://openalex.org/W2587392142","https://openalex.org/W2588289907","https://openalex.org/W2604151177","https://openalex.org/W2604522653","https://openalex.org/W2604729005","https://openalex.org/W2741561025","https://openalex.org/W2745862583","https://openalex.org/W2763318011","https://openalex.org/W2768166594","https://openalex.org/W2772766867","https://openalex.org/W2913081710","https://openalex.org/W2962795934","https://openalex.org/W2963062932","https://openalex.org/W2963084599","https://openalex.org/W2963758027","https://openalex.org/W6600194071","https://openalex.org/W6603036350","https://openalex.org/W6604385074","https://openalex.org/W6630197272","https://openalex.org/W6679436768","https://openalex.org/W6682137061","https://openalex.org/W6729046916"],"related_works":["https://openalex.org/W4210416330","https://openalex.org/W3088136942","https://openalex.org/W2949362007","https://openalex.org/W2775506363","https://openalex.org/W4290852288","https://openalex.org/W4388893791","https://openalex.org/W4283207562","https://openalex.org/W2963177403","https://openalex.org/W2330246314","https://openalex.org/W2949522393"],"abstract_inverted_index":{"Image":[0],"captioning,":[1],"which":[2,168],"aims":[3],"to":[4,104,108,127,131,227],"automatically":[5],"generate":[6,109,247],"a":[7,88,110,206,228],"sentence":[8,113],"description":[9],"for":[10,114,253],"an":[11],"image,":[12,167],"has":[13],"attracted":[14],"much":[15],"research":[16],"attention":[17],"in":[18,51,70,210],"cognitive":[19],"computing.":[20],"The":[21,189],"task":[22],"is":[23],"rather":[24],"challenging,":[25],"since":[26],"it":[27],"requires":[28],"cognitively":[29],"combining":[30],"the":[31,52,56,65,71,75,92,106,115,128,132,139,145,149,153,157,161,165,171,182,193,198,219,222,232,241],"techniques":[32],"from":[33,47,160],"both":[34],"computer":[35],"vision":[36],"and":[37,136,156,179,187,246,250],"natural":[38],"language":[39],"processing":[40],"domains.":[41],"Existing":[42],"CNN-RNN":[43],"framework-based":[44],"methods":[45],"suffer":[46],"two":[48],"main":[49],"problems:":[50],"training":[53,140],"phase,":[54,74],"all":[55,202],"words":[57,129,135,252],"of":[58,67,164,212,221,234,244],"captions":[59,150],"are":[60],"treated":[61],"equally":[62],"without":[63],"considering":[64],"importance":[66],"different":[68,125],"words;":[69],"caption":[72],"generation":[73],"semantic":[76],"objects":[77],"or":[78],"scenes":[79],"might":[80],"be":[81],"misrecognized.":[82],"In":[83],"our":[84,237],"paper,":[85],"we":[86,123,225],"propose":[87],"method":[89],"based":[90,97],"on":[91,181,201,214],"encoder-decoder":[93],"framework,":[94],"named":[95],"Reference":[96],"Long":[98],"Short":[99],"Term":[100],"Memory":[101],"(R-LSTM),":[102],"aiming":[103],"lead":[105],"model":[107,155,238],"more":[111,248],"descriptive":[112],"given":[116],"image":[117],"by":[118,152],"introducing":[119],"reference":[120,158,235],"information.":[121],"Specifically,":[122],"assign":[124],"weights":[126],"according":[130],"correlation":[133],"between":[134,148],"images":[137,163,245],"during":[138],"phase.":[141],"We":[142,174],"additionally":[143],"maximize":[144],"consensus":[146],"score":[147],"generated":[151,223],"captioning":[154],"information":[159,243],"neighboring":[162],"target":[166],"can":[169,196,239],"reduce":[170],"misrecognition":[172],"problem.":[173],"have":[175],"conducted":[176],"extensive":[177],"experiments":[178],"comparisons":[180],"benchmark":[183],"datasets":[184],"MS":[185,215],"COCO":[186],"Flickr30k.":[188],"results":[190],"show":[191],"that":[192,230],"proposed":[194],"approach":[195],"outperform":[197],"state-of-the-art":[199],"approaches":[200],"metrics,":[203],"especially":[204],"achieving":[205],"10.37":[207],"%":[208],"improvement":[209],"terms":[211],"CIDEr":[213],"COCO.":[216],"By":[217],"analyzing":[218],"quality":[220],"captions,":[224],"come":[226],"conclusion":[229],"through":[231],"introduction":[233],"information,":[236],"learn":[240],"key":[242],"trivial":[249],"relevant":[251],"images.":[254]},"counts_by_year":[{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":8}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}