{"id":"https://openalex.org/W3086794567","doi":"https://doi.org/10.1145/3414062","title":"TransNet","display_name":"TransNet","publication_year":2020,"publication_date":"2020-09-10","ids":{"openalex":"https://openalex.org/W3086794567","doi":"https://doi.org/10.1145/3414062","mag":"3086794567"},"language":"en","primary_location":{"id":"doi:10.1145/3414062","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3414062","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3414062","source":{"id":"https://openalex.org/S105046310","display_name":"ACM Transactions on Design Automation of Electronic Systems","issn_l":"1084-4309","issn":["1084-4309","1557-7309"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Design Automation of Electronic Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3414062","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009041021","display_name":"Seyed Ali Rokni","orcid":"https://orcid.org/0000-0003-0097-5871"},"institutions":[{"id":"https://openalex.org/I170632171","display_name":"Washington State University Spokane","ror":"https://ror.org/04vfs5h36","country_code":"US","type":"education","lineage":["https://openalex.org/I170632171","https://openalex.org/I72951846"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Seyed Ali Rokni","raw_affiliation_strings":["Washington State University, NE Spokane St, Pullman, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Washington State University, NE Spokane St, Pullman, WA, USA","institution_ids":["https://openalex.org/I170632171"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070728848","display_name":"Marjan Nourollahi","orcid":null},"institutions":[{"id":"https://openalex.org/I170632171","display_name":"Washington State University Spokane","ror":"https://ror.org/04vfs5h36","country_code":"US","type":"education","lineage":["https://openalex.org/I170632171","https://openalex.org/I72951846"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marjan Nourollahi","raw_affiliation_strings":["Washington State University, NE Spokane St, Pullman, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Washington State University, NE Spokane St, Pullman, WA, USA","institution_ids":["https://openalex.org/I170632171"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086978504","display_name":"Parastoo Alinia","orcid":"https://orcid.org/0000-0001-8201-3005"},"institutions":[{"id":"https://openalex.org/I170632171","display_name":"Washington State University Spokane","ror":"https://ror.org/04vfs5h36","country_code":"US","type":"education","lineage":["https://openalex.org/I170632171","https://openalex.org/I72951846"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Parastoo Alinia","raw_affiliation_strings":["Washington State University, NE Spokane St, Pullman, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Washington State University, NE Spokane St, Pullman, WA, USA","institution_ids":["https://openalex.org/I170632171"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079412282","display_name":"Iman Mirzadeh","orcid":null},"institutions":[{"id":"https://openalex.org/I170632171","display_name":"Washington State University Spokane","ror":"https://ror.org/04vfs5h36","country_code":"US","type":"education","lineage":["https://openalex.org/I170632171","https://openalex.org/I72951846"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Iman Mirzadeh","raw_affiliation_strings":["Washington State University, NE Spokane St, Pullman, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Washington State University, NE Spokane St, Pullman, WA, USA","institution_ids":["https://openalex.org/I170632171"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001759639","display_name":"Mahdi Pedram","orcid":"https://orcid.org/0000-0001-5742-6529"},"institutions":[{"id":"https://openalex.org/I170632171","display_name":"Washington State University Spokane","ror":"https://ror.org/04vfs5h36","country_code":"US","type":"education","lineage":["https://openalex.org/I170632171","https://openalex.org/I72951846"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mahdi Pedram","raw_affiliation_strings":["Washington State University, NE Spokane St, Pullman, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Washington State University, NE Spokane St, Pullman, WA, USA","institution_ids":["https://openalex.org/I170632171"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007139473","display_name":"Hassan Ghasemzadeh","orcid":"https://orcid.org/0000-0002-1844-1416"},"institutions":[{"id":"https://openalex.org/I170632171","display_name":"Washington State University Spokane","ror":"https://ror.org/04vfs5h36","country_code":"US","type":"education","lineage":["https://openalex.org/I170632171","https://openalex.org/I72951846"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hassan Ghasemzadeh","raw_affiliation_strings":["Washington State University, NE Spokane St, Pullman, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Washington State University, NE Spokane St, Pullman, WA, USA","institution_ids":["https://openalex.org/I170632171"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I170632171"],"apc_list":null,"apc_paid":null,"fwci":0.5787,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.66195117,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":97},"biblio":{"volume":"26","issue":"1","first_page":"1","last_page":"31"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9998999834060669,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9998999834060669,"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":0.9714999794960022,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.958899974822998,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9021064639091492},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7482098340988159},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.6781958341598511},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6195101737976074},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6081157326698303},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5961987376213074},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5597805380821228},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5447980761528015},{"id":"https://openalex.org/keywords/feature-engineering","display_name":"Feature engineering","score":0.5416846871376038},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5210258960723877},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.5071470737457275},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48359793424606323},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.464022696018219},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.44758832454681396},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4454275369644165},{"id":"https://openalex.org/keywords/retraining","display_name":"Retraining","score":0.4130946695804596},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.2544201612472534},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.18708989024162292},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.11667823791503906}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9021064639091492},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7482098340988159},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.6781958341598511},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6195101737976074},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6081157326698303},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5961987376213074},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5597805380821228},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5447980761528015},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.5416846871376038},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5210258960723877},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.5071470737457275},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48359793424606323},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.464022696018219},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.44758832454681396},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4454275369644165},{"id":"https://openalex.org/C2778712577","wikidata":"https://www.wikidata.org/wiki/Q3505966","display_name":"Retraining","level":2,"score":0.4130946695804596},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2544201612472534},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.18708989024162292},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.11667823791503906},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C155202549","wikidata":"https://www.wikidata.org/wiki/Q178803","display_name":"International trade","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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3414062","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3414062","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3414062","source":{"id":"https://openalex.org/S105046310","display_name":"ACM Transactions on Design Automation of Electronic Systems","issn_l":"1084-4309","issn":["1084-4309","1557-7309"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Design Automation of Electronic Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3414062","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3414062","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3414062","source":{"id":"https://openalex.org/S105046310","display_name":"ACM Transactions on Design Automation of Electronic Systems","issn_l":"1084-4309","issn":["1084-4309","1557-7309"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Design Automation of Electronic Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.6000000238418579,"id":"https://metadata.un.org/sdg/8"}],"awards":[{"id":"https://openalex.org/G1930397893","display_name":"CAREER: Autonomous Wearable Computing for Personalized Healthcare","funder_award_id":"1750679","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G1980244474","display_name":null,"funder_award_id":"1R21NR015410-01","funder_id":"https://openalex.org/F4320337373","funder_display_name":"Center for Information Technology"},{"id":"https://openalex.org/G4054500074","display_name":"CPS: Small: Human-in-the-Loop Learning of Complex Events in Uncontrolled Environments","funder_award_id":"1932346","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7109820459","display_name":"CRII: CSR: Multi-View Learning Solutions for Next-Generation Computationally-Autonomous Wearables","funder_award_id":"1566359","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320337373","display_name":"Center for Information Technology","ror":"https://ror.org/03jh5a977"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3086794567.pdf","grobid_xml":"https://content.openalex.org/works/W3086794567.grobid-xml"},"referenced_works_count":67,"referenced_works":["https://openalex.org/W123226248","https://openalex.org/W1522301498","https://openalex.org/W1599740911","https://openalex.org/W1606768424","https://openalex.org/W1963727881","https://openalex.org/W2002261403","https://openalex.org/W2012384201","https://openalex.org/W2012878613","https://openalex.org/W2017634428","https://openalex.org/W2031192834","https://openalex.org/W2056169469","https://openalex.org/W2057907879","https://openalex.org/W2064675550","https://openalex.org/W2104807361","https://openalex.org/W2114900318","https://openalex.org/W2117130368","https://openalex.org/W2123504417","https://openalex.org/W2126617751","https://openalex.org/W2134525957","https://openalex.org/W2137846113","https://openalex.org/W2138725602","https://openalex.org/W2143612262","https://openalex.org/W2144348409","https://openalex.org/W2149354205","https://openalex.org/W2161132813","https://openalex.org/W2165698076","https://openalex.org/W2167277498","https://openalex.org/W2185062546","https://openalex.org/W2270470215","https://openalex.org/W2313023344","https://openalex.org/W2342792048","https://openalex.org/W2344284192","https://openalex.org/W2353511237","https://openalex.org/W2407430331","https://openalex.org/W2473781013","https://openalex.org/W2553303224","https://openalex.org/W2560647685","https://openalex.org/W2604738573","https://openalex.org/W2605834802","https://openalex.org/W2606107235","https://openalex.org/W2754342515","https://openalex.org/W2759690896","https://openalex.org/W2788388592","https://openalex.org/W2808423829","https://openalex.org/W2885311373","https://openalex.org/W2886362482","https://openalex.org/W2913978280","https://openalex.org/W2914584698","https://openalex.org/W2944507252","https://openalex.org/W2946267956","https://openalex.org/W2949667497","https://openalex.org/W2950133940","https://openalex.org/W2952230511","https://openalex.org/W2962755172","https://openalex.org/W2963460174","https://openalex.org/W2964215136","https://openalex.org/W2964441025","https://openalex.org/W2998600257","https://openalex.org/W2998881109","https://openalex.org/W2999736214","https://openalex.org/W3012288702","https://openalex.org/W3038345636","https://openalex.org/W4297575387","https://openalex.org/W4300906778","https://openalex.org/W6631190155","https://openalex.org/W6683738474","https://openalex.org/W6753278433"],"related_works":["https://openalex.org/W2006651773","https://openalex.org/W2027050655","https://openalex.org/W3028244590","https://openalex.org/W4254349500","https://openalex.org/W2014369232","https://openalex.org/W3122042562","https://openalex.org/W2050078012","https://openalex.org/W2060761133","https://openalex.org/W2360307734","https://openalex.org/W2028424651"],"abstract_inverted_index":{"Wearables":[0],"are":[1,24,65],"poised":[2],"to":[3,153,156,191],"transform":[4],"health":[5,15],"and":[6,13,31,48,59,62,97,109,118],"wellness":[7],"through":[8],"automation":[9],"of":[10,43,53,71,92,115,128,159,173,194],"cost-effective,":[11],"objective,":[12],"real-time":[14],"monitoring.":[16],"However,":[17],"machine":[18],"learning":[19,85,177],"models":[20,123],"for":[21,184],"these":[22],"systems":[23],"designed":[25],"based":[26],"on":[27,164],"labeled":[28,129,182,198],"data":[29,55,93],"collected,":[30],"feature":[32,95],"representations":[33],"engineered,":[34],"in":[35,67,112,131,175],"controlled":[36],"environments.":[37],"This":[38,188],"approach":[39],"has":[40],"limited":[41],"scalability":[42],"wearables":[44,64],"because":[45],"(i)":[46],"collecting":[47],"labeling":[49],"sufficiently":[50],"large":[51],"amounts":[52],"sensor":[54],"is":[56,140,152],"a":[57,83,102,125,132,143,148],"labor-intensive":[58],"expensive":[60],"process;":[61],"(ii)":[63],"deployed":[66],"highly":[68],"dynamic":[69],"environments":[70],"the":[72,89,116,121,138,160],"end-users":[73],"whose":[74],"context":[75],"undergoes":[76],"consistent":[77],"changes.":[78],"We":[79],"introduce":[80],"TransNet":[81,106,163,168],",":[82],"deep":[84],"framework":[86,117],"that":[87],"minimizes":[88],"costly":[90],"process":[91],"labeling,":[94],"engineering,":[96],"algorithm":[98],"retraining":[99],"by":[100,142],"constructing":[101],"scalable":[103],"computational":[104],"approach.":[105],"learns":[107],"general":[108],"reusable":[110],"features":[111],"lower":[113],"layers":[114],"quickly":[119],"reconfigures":[120],"underlying":[122],"from":[124],"small":[126],"number":[127],"instances":[130],"new":[133,144],"domain,":[134],"such":[135],"as":[136],"when":[137,147],"system":[139],"adopted":[141],"user":[145],"or":[146],"previously":[149],"unseen":[150],"event":[151,157],"be":[154],"added":[155],"vocabulary":[158],"system.":[161],"Utilizing":[162],"four":[165],"activity":[166,186],"datasets,":[167],"achieves":[169],"an":[170,192],"average":[171],"accuracy":[172,193],"88.1%":[174],"cross-subject":[176],"scenarios":[178],"using":[179],"only":[180],"one":[181],"instance":[183],"each":[185],"class.":[187],"performance":[189],"improves":[190],"92.7%":[195],"with":[196],"five":[197],"instances.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2}],"updated_date":"2026-08-06T08:24:18.245995","created_date":"2020-09-21T00:00:00"}
