{"id":"https://openalex.org/W2806199895","doi":"https://doi.org/10.1145/3197026.3197061","title":"Formula Ranking within an Article","display_name":"Formula Ranking within an Article","publication_year":2018,"publication_date":"2018-05-23","ids":{"openalex":"https://openalex.org/W2806199895","doi":"https://doi.org/10.1145/3197026.3197061","mag":"2806199895"},"language":"en","primary_location":{"id":"doi:10.1145/3197026.3197061","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3197026.3197061","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018793685","display_name":"Ke Yuan","orcid":"https://orcid.org/0000-0002-2318-1460"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ke Yuan","raw_affiliation_strings":["Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004474713","display_name":"Liangcai Gao","orcid":"https://orcid.org/0000-0001-9444-1568"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangcai Gao","raw_affiliation_strings":["Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007558173","display_name":"Zhuoren Jiang","orcid":"https://orcid.org/0000-0001-8562-8347"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuoren Jiang","raw_affiliation_strings":["Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103175239","display_name":"Zhi Tang","orcid":"https://orcid.org/0000-0002-6021-8357"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi Tang","raw_affiliation_strings":["Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5018793685"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":1.0097,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.78237517,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"123","last_page":"126"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13523","display_name":"Mathematics, Computing, and Information Processing","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T13523","display_name":"Mathematics, Computing, and Information Processing","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9279000163078308,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9172999858856201,"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/knowledge-graph","display_name":"Knowledge graph","score":0.7148956060409546},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6821849346160889},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6528928875923157},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6357475519180298},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6118601560592651},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.5876281261444092},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.5326487421989441},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.507304847240448},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.49422433972358704},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4880184233188629},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.4808383882045746},{"id":"https://openalex.org/keywords/citation","display_name":"Citation","score":0.45335403084754944},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.41459399461746216},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29096001386642456},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23677104711532593},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.0961948037147522},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.09235641360282898}],"concepts":[{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.7148956060409546},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6821849346160889},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6528928875923157},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6357475519180298},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6118601560592651},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.5876281261444092},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.5326487421989441},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.507304847240448},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.49422433972358704},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4880184233188629},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.4808383882045746},{"id":"https://openalex.org/C2778805511","wikidata":"https://www.wikidata.org/wiki/Q1713","display_name":"Citation","level":2,"score":0.45335403084754944},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.41459399461746216},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29096001386642456},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23677104711532593},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0961948037147522},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.09235641360282898},{"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3197026.3197061","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3197026.3197061","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.5299999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1501292707","https://openalex.org/W1956559956","https://openalex.org/W2047221353","https://openalex.org/W2069870183","https://openalex.org/W2084318847","https://openalex.org/W2108862644","https://openalex.org/W2136796599","https://openalex.org/W2143331230","https://openalex.org/W2153579005","https://openalex.org/W2161081562","https://openalex.org/W2340997632","https://openalex.org/W2401312310","https://openalex.org/W2409722449","https://openalex.org/W2512672007","https://openalex.org/W2594301182","https://openalex.org/W2594866016","https://openalex.org/W2595718889","https://openalex.org/W2740807107","https://openalex.org/W4294170691"],"related_works":["https://openalex.org/W3127142483","https://openalex.org/W4385565564","https://openalex.org/W2898073868","https://openalex.org/W2138488530","https://openalex.org/W4390446658","https://openalex.org/W2971071571","https://openalex.org/W2604454537","https://openalex.org/W2798835721","https://openalex.org/W2922169395","https://openalex.org/W2387658907"],"abstract_inverted_index":{"With":[0],"the":[1,7,20,37,44,51,65,86,94,102,105,113,118,125,150],"ever-increasing":[2],"volume":[3],"of":[4,19,67,89,98],"formulae":[5,35,55,90,99,136],"on":[6,23,60,101,142],"Web,":[8],"formula":[9,24,28,69,74,123,156],"retrieval":[10,25],"has":[11],"drawn":[12],"much":[13],"attention":[14],"from":[15],"researchers.":[16],"However,":[17],"most":[18],"existing":[21],"researches":[22],"treat":[26],"each":[27,68],"within":[29,56,70,138],"an":[30,57,71,139],"article":[31,39,58,140],"equally,":[32],"while":[33],"different":[34,41],"in":[36,80],"same":[38],"have":[40],"importance":[42,66],"to":[43,53,111,132],"article.":[45,127],"In":[46],"this":[47],"paper,":[48],"we":[49,129],"address":[50],"issue":[52],"rank":[54,133],"based":[59,100,141],"their":[61],"importance.":[62],"To":[63],"evaluate":[64],"article,":[72],"a":[73,81,122],"citation":[75],"graph":[76],"is":[77,109],"firstly":[78],"built":[79],"large":[82],"scale":[83],"corpus.":[84],"And":[85],"inter-articles":[87],"features":[88,115,152],"are":[91,153],"extracted":[92],"by":[93,116],"link":[95],"topology":[96],"analysis":[97],"graph.":[103],"Then":[104],"word":[106],"embedding":[107],"model":[108],"explored":[110],"extract":[112],"inner-article":[114],"mining":[117],"semantic":[119],"relevance":[120],"between":[121],"and":[124,158],"corresponding":[126],"Finally,":[128],"leverage":[130],"learning":[131],"technique":[134],"for":[135,155],"ranking":[137,157],"those":[143],"features.":[144],"The":[145],"experimental":[146],"results":[147],"demonstrate":[148],"that":[149],"proposed":[151],"helpful":[154],"our":[159],"approach":[160],"yields":[161],"better":[162],"performance":[163],"compared":[164],"with":[165],"other":[166],"state-of-the-art":[167],"methods.":[168]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}