{"id":"https://openalex.org/W4416844289","doi":"https://doi.org/10.36306/konjes.1565858","title":"ANALYZING ARTIFICIAL NEURAL NETWORK ARTICLES WITH BIBLIOMETRIC MAPPING TECHNIQUE","display_name":"ANALYZING ARTIFICIAL NEURAL NETWORK ARTICLES WITH BIBLIOMETRIC MAPPING TECHNIQUE","publication_year":2025,"publication_date":"2025-12-01","ids":{"openalex":"https://openalex.org/W4416844289","doi":"https://doi.org/10.36306/konjes.1565858"},"language":"en","primary_location":{"id":"doi:10.36306/konjes.1565858","doi":"https://doi.org/10.36306/konjes.1565858","is_oa":true,"landing_page_url":"https://doi.org/10.36306/konjes.1565858","pdf_url":"https://dergipark.org.tr/en/download/article-file/4282466","source":{"id":"https://openalex.org/S4387289189","display_name":"Konya Journal of Engineering Sciences","issn_l":"2147-9364","issn":["2147-9364","2667-8055"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["dongbi-c","tr-dizin"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Konya Journal of Engineering Sciences","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://dergipark.org.tr/en/download/article-file/4282466","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5092871767","display_name":"Muhammet Emin Dertli","orcid":"https://orcid.org/0000-0003-4309-6201","observed_orcids":["https://orcid.org/0000-0003-4309-6201"]},"institutions":[{"id":"https://openalex.org/I64134780","display_name":"Atat\u00fcrk University","ror":"https://ror.org/03je5c526","country_code":"TR","type":"education","lineage":["https://openalex.org/I64134780"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Muhammet Emin Dertli","raw_affiliation_strings":["ATAT\u00dcRK \u00dcN\u0130VERS\u0130TES\u0130"],"raw_orcid":"https://orcid.org/0000-0003-4309-6201","affiliations":[{"raw_affiliation_string":"ATAT\u00dcRK \u00dcN\u0130VERS\u0130TES\u0130","institution_ids":["https://openalex.org/I64134780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027208125","display_name":"\u015e\u00fckran Dertli","orcid":"https://orcid.org/0000-0001-9901-5349","observed_orcids":["https://orcid.org/0000-0001-9901-5349"]},"institutions":[{"id":"https://openalex.org/I140940799","display_name":"Bayburt University","ror":"https://ror.org/050ed7z50","country_code":"TR","type":"education","lineage":["https://openalex.org/I140940799"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"\u015e\u00fckran Dertli","raw_affiliation_strings":["BAYBURT \u00dcN\u0130VERS\u0130TES\u0130"],"raw_orcid":"https://orcid.org/0000-0001-9901-5349","affiliations":[{"raw_affiliation_string":"BAYBURT \u00dcN\u0130VERS\u0130TES\u0130","institution_ids":["https://openalex.org/I140940799"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5027208125"],"corresponding_institution_ids":["https://openalex.org/I140940799"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.29602201,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":"4","first_page":"999","last_page":"1028"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10102","display_name":"scientometrics and bibliometrics research","score":0.9961000084877014,"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":0.9961000084877014,"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/T13284","display_name":"Psychology Research and Bibliometrics","score":0.00139999995008111,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13976","display_name":"Web visibility and informetrics","score":0.00039999998989515007,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/neural-network","display_name":"artificial neural networks","score":1.0},{"id":"https://openalex.org/keywords/research-trends","display_name":"research trends","score":0.8119999766349792},{"id":"https://openalex.org/keywords/publication-growth","display_name":"publication growth","score":0.75},{"id":"https://openalex.org/keywords/web-of-science","display_name":"Web of Science","score":0.7110000252723694},{"id":"https://openalex.org/keywords/research-mapping","display_name":"science mapping","score":0.7900000214576721},{"id":"https://openalex.org/keywords/research-output","display_name":"research output","score":0.3140000104904175}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.8827000260353088},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7139000296592712},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.642799973487854},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6302000284194946},{"id":"https://openalex.org/C178315738","wikidata":"https://www.wikidata.org/wiki/Q603441","display_name":"Bibliometrics","level":2,"score":0.5439000129699707},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45719999074935913},{"id":"https://openalex.org/C3020774429","wikidata":"https://www.wikidata.org/wiki/Q1201886","display_name":"Web of science","level":3,"score":0.40869998931884766},{"id":"https://openalex.org/C2780129039","wikidata":"https://www.wikidata.org/wiki/Q1931107","display_name":"Section (typography)","level":2,"score":0.3605000078678131},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3531000018119812},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.34459999203681946},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.3425999879837036},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.28760001063346863},{"id":"https://openalex.org/C173079777","wikidata":"https://www.wikidata.org/wiki/Q4299350","display_name":"Nervous system network models","level":5,"score":0.28690001368522644}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.36306/konjes.1565858","doi":"https://doi.org/10.36306/konjes.1565858","is_oa":true,"landing_page_url":"https://doi.org/10.36306/konjes.1565858","pdf_url":"https://dergipark.org.tr/en/download/article-file/4282466","source":{"id":"https://openalex.org/S4387289189","display_name":"Konya Journal of Engineering Sciences","issn_l":"2147-9364","issn":["2147-9364","2667-8055"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["dongbi-c","tr-dizin"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Konya Journal of Engineering Sciences","raw_type":"journal-article"},{"id":"pmh:bb1f6286-d52b-4ef2-bccb-5f52b5155ffd","doi":null,"is_oa":false,"landing_page_url":"https://avesis.atauni.edu.tr/publication/details/bb1f6286-d52b-4ef2-bccb-5f52b5155ffd/oai","pdf_url":null,"source":{"id":"https://openalex.org/S7407055159","display_name":"Ataturk University - AVESIS","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"info:eu-repo/semantics/article"},{"id":"pmh:oai:openaccess.bayburt.edu.tr:20.500.12403/6918","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/20.500.12403/6918","pdf_url":null,"source":{"id":"https://openalex.org/S7407055299","display_name":"DSpace@Bayburt","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":{"id":"doi:10.36306/konjes.1565858","doi":"https://doi.org/10.36306/konjes.1565858","is_oa":true,"landing_page_url":"https://doi.org/10.36306/konjes.1565858","pdf_url":"https://dergipark.org.tr/en/download/article-file/4282466","source":{"id":"https://openalex.org/S4387289189","display_name":"Konya Journal of Engineering Sciences","issn_l":"2147-9364","issn":["2147-9364","2667-8055"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["dongbi-c","tr-dizin"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Konya Journal of Engineering Sciences","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416844289.pdf","grobid_xml":"https://content.openalex.org/works/W4416844289.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W186852479","https://openalex.org/W1727290854","https://openalex.org/W1977177161","https://openalex.org/W2002016471","https://openalex.org/W2009633108","https://openalex.org/W2028070629","https://openalex.org/W2067716017","https://openalex.org/W2093629478","https://openalex.org/W2121970262","https://openalex.org/W2143264812","https://openalex.org/W2158985775","https://openalex.org/W2419175238","https://openalex.org/W2768239645","https://openalex.org/W2909548165","https://openalex.org/W3032313470","https://openalex.org/W3161627409","https://openalex.org/W3201506139","https://openalex.org/W4242462234","https://openalex.org/W4286809372","https://openalex.org/W4375935040","https://openalex.org/W4385662699","https://openalex.org/W4386269099","https://openalex.org/W4389623282","https://openalex.org/W4390450715","https://openalex.org/W4399026496","https://openalex.org/W4400075959","https://openalex.org/W4401359293","https://openalex.org/W4402512367","https://openalex.org/W4402974544","https://openalex.org/W4403606255","https://openalex.org/W4405248507","https://openalex.org/W4405808861","https://openalex.org/W4405975660","https://openalex.org/W4406212245","https://openalex.org/W4408218335","https://openalex.org/W4408360584","https://openalex.org/W4408478165","https://openalex.org/W4409841539"],"related_works":["https://openalex.org/W4402961071","https://openalex.org/W7092612901","https://openalex.org/W4310680671","https://openalex.org/W2900238410","https://openalex.org/W4361011824","https://openalex.org/W4318210965","https://openalex.org/W4318969855","https://openalex.org/W2093629478","https://openalex.org/W4212857500","https://openalex.org/W4402814444"],"abstract_inverted_index":{"The":[0,86],"main":[1],"purpose":[2],"of":[3,12,21,54,77,101,121,140],"this":[4,62,166],"study":[5,33],"is":[6,30,49,182],"to":[7,34,83,170,184,192],"reveal":[8],"the":[9,19,36,41,59,67,73,78,102,108,122,138,159],"general":[10],"profile":[11],"artificial":[13,37,69,111,143,151,193],"neural":[14,38,70,112,144,152,194],"network":[15,39,113],"articles":[16,65,109,141],"published":[17],"in":[18,40,52,72,91,124,137,146,158,165],"Web":[20],"Science":[22],"(WoS)":[23],"database":[24,43,80],"through":[25],"bibliometric":[26,45,84,186],"analysis.":[27,85],"Since":[28],"it":[29,48,104,127,181],"an":[31,135,155],"original":[32],"examine":[35],"WoS":[42,79],"with":[44],"analysis":[46,187],"method,":[47],"extremely":[50],"important":[51,156],"terms":[53],"guiding":[55],"future":[56,179],"research":[57],"on":[58,142,188],"subject.":[60],"In":[61,149,178],"context,":[63],"27,805":[64],"containing":[66],"word":[68],"network*":[71],"TI":[74],"(title)":[75],"section":[76],"were":[81,89,114],"subjected":[82],"data":[87],"obtained":[88],"analyzed":[90],"VOSviewer":[92],"and":[93,176],"bibliometrix":[94],"R":[95],"package":[96],"program":[97],"As":[98],"a":[99,119],"result":[100,120],"analysis,":[103],"was":[105],"determined":[106],"that":[107,131],"titled":[110],"conducted":[115],"between":[116],"1986-2024":[117],"as":[118],"search":[123],"WoS.":[125],"However,":[126],"has":[128,133],"been":[129,134],"concluded":[130],"there":[132],"increase":[136],"number":[139],"networks":[145,153],"recent":[147],"years.":[148],"conclusion,":[150],"have":[154],"place":[157],"academic":[160],"literature.":[161],"Therefore,":[162],"further":[163],"studies":[164],"field":[167],"are":[168],"expected":[169],"make":[171],"great":[172],"contributions":[173],"both":[174],"theoretically":[175],"practically.":[177],"research,":[180],"suggested":[183],"perform":[185],"different":[189],"databases":[190],"related":[191],"networks.":[195]},"counts_by_year":[],"updated_date":"2026-10-29T09:56:32.521200","created_date":"2025-12-01T00:00:00"}
