{"id":"https://openalex.org/W4384080273","doi":"https://doi.org/10.1109/access.2023.3294563","title":"Alternative Relative Discrimination Criterion Feature Ranking Technique for Text Classification","display_name":"Alternative Relative Discrimination Criterion Feature Ranking Technique for Text Classification","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4384080273","doi":"https://doi.org/10.1109/access.2023.3294563"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3294563","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3294563","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10179904.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10179904.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013597552","display_name":"Sarah Abdulkarem Alshalif","orcid":"https://orcid.org/0000-0001-5822-8516"},"institutions":[{"id":"https://openalex.org/I930072361","display_name":"Tun Hussein Onn University of Malaysia","ror":"https://ror.org/01c5wha71","country_code":"MY","type":"education","lineage":["https://openalex.org/I930072361"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Sarah Abdulkarem Alshalif","raw_affiliation_strings":["Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Parit Raja, Johor, Malaysia"],"raw_orcid":"https://orcid.org/0000-0001-5822-8516","affiliations":[{"raw_affiliation_string":"Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Parit Raja, Johor, Malaysia","institution_ids":["https://openalex.org/I930072361"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007816564","display_name":"Norhalina Senan","orcid":"https://orcid.org/0000-0002-9074-0496"},"institutions":[{"id":"https://openalex.org/I930072361","display_name":"Tun Hussein Onn University of Malaysia","ror":"https://ror.org/01c5wha71","country_code":"MY","type":"education","lineage":["https://openalex.org/I930072361"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Norhalina Senan","raw_affiliation_strings":["Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Parit Raja, Johor, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Parit Raja, Johor, Malaysia","institution_ids":["https://openalex.org/I930072361"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018312503","display_name":"Faisal Saeed","orcid":"https://orcid.org/0000-0002-2822-1708"},"institutions":[{"id":"https://openalex.org/I12870472","display_name":"Birmingham City University","ror":"https://ror.org/00t67pt25","country_code":"GB","type":"education","lineage":["https://openalex.org/I12870472"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Faisal Saeed","raw_affiliation_strings":["Department of Computing and Data Science, School of Computing and Digital Technology, DAAI Research Group, Birmingham City University, Birmingham, U.K"],"raw_orcid":"https://orcid.org/0000-0002-2822-1708","affiliations":[{"raw_affiliation_string":"Department of Computing and Data Science, School of Computing and Digital Technology, DAAI Research Group, Birmingham City University, Birmingham, U.K","institution_ids":["https://openalex.org/I12870472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064298385","display_name":"Wad Ghaban","orcid":"https://orcid.org/0000-0003-0564-4377"},"institutions":[{"id":"https://openalex.org/I72264486","display_name":"University of Tabuk","ror":"https://ror.org/04yej8x59","country_code":"SA","type":"education","lineage":["https://openalex.org/I72264486"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Wad Ghaban","raw_affiliation_strings":["Applied College, University of Tabuk, Tabuk, Saudi Arabia","A pplied College, University of Tabuk, Tabuk, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0003-0564-4377","affiliations":[{"raw_affiliation_string":"Applied College, University of Tabuk, Tabuk, Saudi Arabia","institution_ids":["https://openalex.org/I72264486"]},{"raw_affiliation_string":"A pplied College, University of Tabuk, Tabuk, Saudi Arabia","institution_ids":["https://openalex.org/I72264486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026915714","display_name":"Noraini Ibrahim","orcid":"https://orcid.org/0000-0002-5711-9067"},"institutions":[{"id":"https://openalex.org/I930072361","display_name":"Tun Hussein Onn University of Malaysia","ror":"https://ror.org/01c5wha71","country_code":"MY","type":"education","lineage":["https://openalex.org/I930072361"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Noraini Ibrahim","raw_affiliation_strings":["Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Parit Raja, Johor, Malaysia"],"raw_orcid":"https://orcid.org/0000-0002-5711-9067","affiliations":[{"raw_affiliation_string":"Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Parit Raja, Johor, Malaysia","institution_ids":["https://openalex.org/I930072361"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101950373","display_name":"Muhammad Aamir","orcid":"https://orcid.org/0000-0002-4999-7740"},"institutions":[{"id":"https://openalex.org/I22128151","display_name":"University of Derby","ror":"https://ror.org/02yhrrk59","country_code":"GB","type":"education","lineage":["https://openalex.org/I22128151"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Muhammad Aamir","raw_affiliation_strings":["School of Electronics, Computing and Mathematics, University of Derby, Derby, U.K","School of Electronics, Computing and Mathematics, University of Derby, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0002-4999-7740","affiliations":[{"raw_affiliation_string":"School of Electronics, Computing and Mathematics, University of Derby, Derby, U.K","institution_ids":["https://openalex.org/I22128151"]},{"raw_affiliation_string":"School of Electronics, Computing and Mathematics, University of Derby, United Kingdom","institution_ids":["https://openalex.org/I22128151"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020254820","display_name":"Wareesa Sharif","orcid":null},"institutions":[{"id":"https://openalex.org/I174731842","display_name":"Islamia University of Bahawalpur","ror":"https://ror.org/002rc4w13","country_code":"PK","type":"education","lineage":["https://openalex.org/I174731842"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Wareesa Sharif","raw_affiliation_strings":["Faculty of Computing, The Islamia University of Bahawalpur, Bahawalpur, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computing, The Islamia University of Bahawalpur, Bahawalpur, Pakistan","institution_ids":["https://openalex.org/I174731842"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.8963,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.78714748,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"11","issue":null,"first_page":"71739","last_page":"71755"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9829999804496765,"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"}},{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9757999777793884,"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":0.6398184299468994},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6325900554656982},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6298088431358337},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.609420657157898},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5871039032936096},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.4773963987827301},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.47357186675071716},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.46249842643737793},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42362940311431885},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3626806139945984}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6398184299468994},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6325900554656982},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6298088431358337},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.609420657157898},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5871039032936096},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4773963987827301},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.47357186675071716},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.46249842643737793},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42362940311431885},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3626806139945984}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2023.3294563","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3294563","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10179904.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:www.open-access.bcu.ac.uk:14612","is_oa":true,"landing_page_url":"https://www.open-access.bcu.ac.uk/14612/1/Alternative_Relative_Discrimination_Criterion_Feature_Ranking_Technique_for_Text_Classification.pdf","pdf_url":"https://www.open-access.bcu.ac.uk/14612/1/Alternative_Relative_Discrimination_Criterion_Feature_Ranking_Technique_for_Text_Classification.pdf","source":{"id":"https://openalex.org/S4306402654","display_name":"BCU Open Access Repository (Birmingham City University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I12870472","host_organization_name":"Birmingham City University","host_organization_lineage":["https://openalex.org/I12870472"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:doaj.org/article:3bc75b56ffaa4701a338e242b277d99f","is_oa":true,"landing_page_url":"https://doaj.org/article/3bc75b56ffaa4701a338e242b277d99f","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":"IEEE Access, Vol 11, Pp 71739-71755 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3294563","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3294563","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10179904.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.4699999988079071},{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.4300000071525574}],"awards":[{"id":"https://openalex.org/G1001717021","display_name":null,"funder_award_id":"J130000","funder_id":"https://openalex.org/F4320323300","funder_display_name":"Universiti Teknologi Malaysia"},{"id":"https://openalex.org/G3645468209","display_name":null,"funder_award_id":"Q.J130000.21A6.00P48","funder_id":"https://openalex.org/F4320336993","funder_display_name":"Research Management Centre, Universiti Teknologi Malaysia"},{"id":"https://openalex.org/G5692223232","display_name":null,"funder_award_id":"Q.J130000.21A6.00P48","funder_id":"https://openalex.org/F4320323300","funder_display_name":"Universiti Teknologi Malaysia"},{"id":"https://openalex.org/G6084887513","display_name":null,"funder_award_id":"Q. J130000","funder_id":"https://openalex.org/F4320323300","funder_display_name":"Universiti Teknologi Malaysia"}],"funders":[{"id":"https://openalex.org/F4320311338","display_name":"Birmingham City University","ror":"https://ror.org/00t67pt25"},{"id":"https://openalex.org/F4320323300","display_name":"Universiti Teknologi Malaysia","ror":"https://ror.org/026w31v75"},{"id":"https://openalex.org/F4320336993","display_name":"Research Management Centre, Universiti Teknologi Malaysia","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4384080273.pdf","grobid_xml":"https://content.openalex.org/works/W4384080273.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W1487321909","https://openalex.org/W2013208103","https://openalex.org/W2022618785","https://openalex.org/W2081183108","https://openalex.org/W2098162425","https://openalex.org/W2133990480","https://openalex.org/W2134090438","https://openalex.org/W2182644107","https://openalex.org/W2270941958","https://openalex.org/W2291538021","https://openalex.org/W2533569512","https://openalex.org/W2548632986","https://openalex.org/W2551504678","https://openalex.org/W2591272477","https://openalex.org/W2610681539","https://openalex.org/W2773496623","https://openalex.org/W2773907775","https://openalex.org/W2790215293","https://openalex.org/W2791315675","https://openalex.org/W2803393527","https://openalex.org/W2889362093","https://openalex.org/W2898856197","https://openalex.org/W2912958799","https://openalex.org/W2940269050","https://openalex.org/W2964498586","https://openalex.org/W2989411874","https://openalex.org/W3042382871","https://openalex.org/W4205873402","https://openalex.org/W4239510810","https://openalex.org/W4289637685","https://openalex.org/W4289731611","https://openalex.org/W4294306727","https://openalex.org/W4294691580","https://openalex.org/W4312263961","https://openalex.org/W6696688076","https://openalex.org/W6729781713","https://openalex.org/W6746658573","https://openalex.org/W6847873437"],"related_works":["https://openalex.org/W4296209631","https://openalex.org/W2561617217","https://openalex.org/W2090763504","https://openalex.org/W2025378473","https://openalex.org/W2355801475","https://openalex.org/W148178222","https://openalex.org/W2394466068","https://openalex.org/W2188500270","https://openalex.org/W2303858293","https://openalex.org/W4206659427"],"abstract_inverted_index":{"The":[0,149,179,249],"use":[1,59],"of":[2,72,94,103,132,200,245,283],"text":[3,22],"data":[4],"with":[5,75],"high":[6],"dimensionality":[7],"affects":[8],"classifier":[9],"performance.":[10,38],"Therefore,":[11],"efficient":[12],"feature":[13,43,84,134],"selection":[14],"(FS)":[15],"is":[16,138],"necessary":[17],"to":[18,34,114,126,140,154,234,241,279],"reduce":[19],"dimensionality.":[20],"In":[21,108],"classification":[23,37],"challenges,":[24],"FS":[25],"algorithms":[26,89],"based":[27],"on":[28,91,188],"a":[29,73,97],"ranking":[30,44,85],"approach":[31],"are":[32,160],"employed":[33,256],"improve":[35,127],"the":[36,48,69,92,101,106,128,146,155,185,189,236,243,246,252,257,281,284],"To":[39],"rank":[40],"terms,":[41],"most":[42],"algorithms,":[45],"such":[46,168,210],"as":[47,169,211],"Relative":[49,55,118],"Discrimination":[50,56,119],"Criterion":[51,57,120],"(RDC)":[52],"and":[53,63,77,130,162,164,177,192,204,226,255,269],"Improved":[54],"(IRDC),":[58],"document":[60,98],"frequency":[61,65],"(DF)":[62],"term":[64,74],"(TF).":[66],"TF":[67],"accepts":[68],"actual":[70],"values":[71],"frequently":[76],"rarely":[78],"occurring":[79,144],"terms":[80,95,104,142,199],"used":[81,275],"in":[82,96,105,145,198,276],"existing":[83,156],"algorithms.":[86],"However,":[87],"these":[88],"focus":[90],"number":[93,102],"rather":[99],"than":[100],"category.":[107],"this":[109,277],"research,":[110],"an":[111],"alternative":[112],"method":[113],"RDC,":[115],"called":[116],"Alternative":[117],"(ARDC)":[121],"was":[122,232],"proposed,":[123],"which":[124,159,239],"aims":[125,240],"accuracy":[129,205],"effectiveness":[131,282],"RDC":[133,157,161],"ranking.":[135],"Specifically,":[136],"ARDC":[137,187,247],"designed":[139],"identify":[141],"commonly":[143],"positive":[147],"class.":[148],"results":[150,181],"obtained":[151],"were":[152,274],"compared":[153],"methods,":[158],"IRDC,":[163],"standard":[165],"benchmarking":[166],"functions":[167],"Information":[170],"Gain":[171],"(IG),":[172],"Pearson":[173],"Correlation":[174],"Coefficient":[175],"(PCC),":[176],"ReliefF.":[178],"experimental":[180],"reveal":[182],"that":[183],"using":[184],"suggested":[186,285],"Reuters21578,":[190],"20newsgroup,":[191],"TDT2":[193],"datasets":[194],"provides":[195],"better":[196],"performance":[197],"precision,":[201],"recall,":[202],"f-measure,":[203],"when":[206],"employing":[207],"well-known":[208],"classifiers":[209,273],"multinomial":[212],"na\u00efve":[213],"Bayes":[214,264],"(MNB),":[215],"Support":[216],"Vector":[217],"Machine":[218],"(SVM),":[219],"Multilayer":[220],"perceptron":[221],"(MLP),":[222],"k-nearest":[223],"neighbor":[224],"(KNN),":[225],"decision":[227],"tree":[228],"(DT).":[229],"Another":[230],"experiment":[231,250,278],"performed":[233],"validate":[235],"proposed":[237],"technique,":[238],"showcase":[242],"novelty":[244],"approach.":[248],"utilized":[251],"20newsgroup":[253],"dataset":[254],"Relevant-Based":[258],"Feature":[259],"Ranking":[260],"(RBFR)":[261],"technique.":[262],"Na\u00efve":[263],"(NB),":[265],"Random":[266],"Forest":[267],"(RF)":[268],"Logistic":[270],"Regression":[271],"(LR)":[272],"demonstrate":[280],"ARDC.":[286]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}