{"id":"https://openalex.org/W4392121233","doi":"https://doi.org/10.1145/3649140","title":"Citation Forecasting with Multi-Context Attention-Aided Dependency Modeling","display_name":"Citation Forecasting with Multi-Context Attention-Aided Dependency Modeling","publication_year":2024,"publication_date":"2024-02-23","ids":{"openalex":"https://openalex.org/W4392121233","doi":"https://doi.org/10.1145/3649140"},"language":"en","primary_location":{"id":"doi:10.1145/3649140","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3649140","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3649140","source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"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 Knowledge Discovery from Data","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/10.1145/3649140","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050083334","display_name":"Taoran Ji","orcid":"https://orcid.org/0000-0001-9438-3038"},"institutions":[{"id":"https://openalex.org/I96749437","display_name":"Texas A&M University \u2013 Corpus Christi","ror":"https://ror.org/01mrfdz82","country_code":"US","type":"education","lineage":["https://openalex.org/I96749437"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Taoran Ji","raw_affiliation_strings":["Department of Computer Science, Texas A&amp;M University, Corpus Christi, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Texas A&amp;M University, Corpus Christi, USA","institution_ids":["https://openalex.org/I96749437"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074308388","display_name":"Nathan Self","orcid":"https://orcid.org/0000-0001-8075-9866"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nathan Self","raw_affiliation_strings":["Department of Computer Science, Virginia Tech, Arlington, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Virginia Tech, Arlington, USA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066997849","display_name":"Kaiqun Fu","orcid":"https://orcid.org/0000-0003-4307-9938"},"institutions":[{"id":"https://openalex.org/I177156846","display_name":"South Dakota State University","ror":"https://ror.org/015jmes13","country_code":"US","type":"education","lineage":["https://openalex.org/I177156846"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kaiqun Fu","raw_affiliation_strings":["Department of Computer Science, South Dakota State University, Brookings, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, South Dakota State University, Brookings, USA","institution_ids":["https://openalex.org/I177156846"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082832007","display_name":"Zhiqian Chen","orcid":"https://orcid.org/0000-0003-4112-9647"},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhiqian Chen","raw_affiliation_strings":["Computer Science and Engineering Department, Mississippi State University, Starkville, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering Department, Mississippi State University, Starkville, USA","institution_ids":["https://openalex.org/I99041443"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035052603","display_name":"Naren Ramakrishnan","orcid":"https://orcid.org/0000-0002-1821-9743"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Naren Ramakrishnan","raw_affiliation_strings":["Department of Computer Science, Virginia Tech, Arlington, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Virginia Tech, Arlington, USA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038002204","display_name":"Chang\u2010Tien Lu","orcid":"https://orcid.org/0000-0003-3675-0199"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chang-Tien Lu","raw_affiliation_strings":["Department of Computer Science, Virginia Tech, Falls Church, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Virginia Tech, Falls Church, USA","institution_ids":["https://openalex.org/I859038795"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5050083334"],"corresponding_institution_ids":["https://openalex.org/I96749437"],"apc_list":null,"apc_paid":null,"fwci":1.9334,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.86106443,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"18","issue":"6","first_page":"1","last_page":"23"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10102","display_name":"scientometrics and bibliometrics research","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10102","display_name":"scientometrics and bibliometrics research","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.9783999919891357,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.9128999710083008,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7737298011779785},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6182106733322144},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5828222036361694},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.5654257535934448},{"id":"https://openalex.org/keywords/futures-studies","display_name":"Futures studies","score":0.5363624691963196},{"id":"https://openalex.org/keywords/citation","display_name":"Citation","score":0.5355818867683411},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5039023756980896},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.5038744807243347},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5022737979888916},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4827265441417694},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4408799111843109},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.44030332565307617},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4262322783470154},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36599668860435486}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7737298011779785},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6182106733322144},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5828222036361694},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.5654257535934448},{"id":"https://openalex.org/C64848388","wikidata":"https://www.wikidata.org/wiki/Q188867","display_name":"Futures studies","level":2,"score":0.5363624691963196},{"id":"https://openalex.org/C2778805511","wikidata":"https://www.wikidata.org/wiki/Q1713","display_name":"Citation","level":2,"score":0.5355818867683411},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5039023756980896},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.5038744807243347},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5022737979888916},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4827265441417694},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4408799111843109},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.44030332565307617},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4262322783470154},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36599668860435486},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3649140","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3649140","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3649140","source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"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 Knowledge Discovery from Data","raw_type":"journal-article"},{"id":"pmh:oai:vtechworks.lib.vt.edu:10919/118220","is_oa":true,"landing_page_url":"https://hdl.handle.net/10919/118220","pdf_url":"https://vtechworks.lib.vt.edu/bitstreams/46d267fa-29e1-4c27-9fae-4a390869eb7f/download","source":{"id":"https://openalex.org/S4306400248","display_name":"VTechWorks (Virginia Tech)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I859038795","host_organization_name":"Virginia Tech","host_organization_lineage":["https://openalex.org/I859038795"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1145/3649140","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3649140","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3649140","source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"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 Knowledge Discovery from Data","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6000000238418579,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392121233.pdf","grobid_xml":"https://content.openalex.org/works/W4392121233.grobid-xml"},"referenced_works_count":59,"referenced_works":["https://openalex.org/W224294845","https://openalex.org/W1517593287","https://openalex.org/W1522301498","https://openalex.org/W1526201365","https://openalex.org/W1932742904","https://openalex.org/W1958739611","https://openalex.org/W1965664017","https://openalex.org/W1968900087","https://openalex.org/W1992422757","https://openalex.org/W2000574324","https://openalex.org/W2005706022","https://openalex.org/W2016056454","https://openalex.org/W2025600322","https://openalex.org/W2029289127","https://openalex.org/W2032884174","https://openalex.org/W2038764711","https://openalex.org/W2056694180","https://openalex.org/W2064675550","https://openalex.org/W2065429153","https://openalex.org/W2069849731","https://openalex.org/W2071167245","https://openalex.org/W2109275736","https://openalex.org/W2119828730","https://openalex.org/W2122700373","https://openalex.org/W2128438887","https://openalex.org/W2151866568","https://openalex.org/W2172140247","https://openalex.org/W2394638270","https://openalex.org/W2509830164","https://openalex.org/W2510535358","https://openalex.org/W2559655401","https://openalex.org/W2565026778","https://openalex.org/W2602721037","https://openalex.org/W2604792366","https://openalex.org/W2605191235","https://openalex.org/W2612690371","https://openalex.org/W2768852601","https://openalex.org/W2794941632","https://openalex.org/W2897825916","https://openalex.org/W2899577985","https://openalex.org/W2914034186","https://openalex.org/W2946084162","https://openalex.org/W2949335953","https://openalex.org/W2950418200","https://openalex.org/W2951851909","https://openalex.org/W2964199361","https://openalex.org/W2964687328","https://openalex.org/W2981067452","https://openalex.org/W3046711351","https://openalex.org/W3103172303","https://openalex.org/W3124002336","https://openalex.org/W3125290923","https://openalex.org/W4251502149","https://openalex.org/W4285045111","https://openalex.org/W4299816210","https://openalex.org/W4320858068","https://openalex.org/W4322614756","https://openalex.org/W6676112486","https://openalex.org/W6838902736"],"related_works":["https://openalex.org/W2370236282","https://openalex.org/W3156023083","https://openalex.org/W4390453990","https://openalex.org/W2292601982","https://openalex.org/W3164313706","https://openalex.org/W1995047307","https://openalex.org/W2118564637","https://openalex.org/W4388907197","https://openalex.org/W4226108142","https://openalex.org/W2046413193"],"abstract_inverted_index":{"Forecasting":[0],"citations":[1,28],"of":[2,17,41,78,125],"scientific":[3],"patents":[4],"and":[5,15,20,56,135],"publications":[6],"is":[7,71],"a":[8,30,93,101],"crucial":[9],"task":[10,34],"for":[11,21,107,140],"understanding":[12],"the":[13,33,39,67,76,79,119],"evolution":[14],"development":[16],"technological":[18],"domains":[19],"foresight":[22],"into":[23,38],"emerging":[24],"technologies.":[25],"By":[26],"construing":[27],"as":[29],"time":[31],"series,":[32],"can":[35],"be":[36],"cast":[37],"domain":[40],"temporal":[42,51],"point":[43,52],"processes.":[44],"Most":[45],"existing":[46],"work":[47],"on":[48,113],"forecasting":[49],"with":[50,100],"processes,":[53],"both":[54],"conventional":[55],"neural":[57],"network-based,":[58],"only":[59],"performs":[60],"single-step":[61],"forecasting.":[62,110],"In":[63,83],"citation":[64,109,141],"forecasting,":[65],"however,":[66],"more":[68],"salient":[69],"goal":[70],"n":[72,81],"-step":[73],"forecasting:":[74],"predicting":[75],"arrival":[77],"next":[80],"citations.":[82],"this":[84],"article,":[85],"we":[86],"propose":[87],"Dynamic":[88],"Multi-Context":[89],"Attention":[90],"Networks":[91],"(DMA-Nets),":[92],"novel":[94,102],"deep":[95],"learning":[96],"sequence-to-sequence":[97],"(Seq2Seq)":[98],"model":[99,121],"hierarchical":[103],"dynamic":[104],"attention":[105],"mechanism":[106],"long-term":[108],"Extensive":[111],"experiments":[112],"two":[114],"real-world":[115],"datasets":[116],"demonstrate":[117],"that":[118],"proposed":[120],"learns":[122],"better":[123],"representations":[124],"conditional":[126],"dependencies":[127],"over":[128],"historical":[129],"sequences":[130],"compared":[131],"to":[132],"state-of-the-art":[133],"counterparts":[134],"thus":[136],"achieves":[137],"significant":[138],"performance":[139],"predictions.":[142]},"counts_by_year":[{"year":2025,"cited_by_count":4}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
