{"id":"https://openalex.org/W4206820039","doi":"https://doi.org/10.1109/access.2022.3144844","title":"Cursive Text Recognition in Natural Scene Images Using Deep Convolutional Recurrent Neural Network","display_name":"Cursive Text Recognition in Natural Scene Images Using Deep Convolutional Recurrent Neural Network","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4206820039","doi":"https://doi.org/10.1109/access.2022.3144844"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3144844","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3144844","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09686684.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/ielx7/6287639/9668973/09686684.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017540641","display_name":"Asghar Ali Chandio","orcid":"https://orcid.org/0000-0001-8821-2355"},"institutions":[{"id":"https://openalex.org/I1323252656","display_name":"Information Technology University","ror":"https://ror.org/00ngv8j44","country_code":"PK","type":"education","lineage":["https://openalex.org/I1323252656"]},{"id":"https://openalex.org/I188329596","display_name":"University of Canberra","ror":"https://ror.org/04s1nv328","country_code":"AU","type":"education","lineage":["https://openalex.org/I188329596"]},{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]},{"id":"https://openalex.org/I4394709116","display_name":"UNSW Canberra","ror":"https://ror.org/0125wpx05","country_code":null,"type":"education","lineage":["https://openalex.org/I31746571","https://openalex.org/I4394709116"]},{"id":"https://openalex.org/I65146876","display_name":"Quaid-e-Awam University of Engineering, Science and Technology","ror":"https://ror.org/01t34b131","country_code":"PK","type":"education","lineage":["https://openalex.org/I65146876"]}],"countries":["AU","PK"],"is_corresponding":false,"raw_author_name":"Asghar Ali Chandio","raw_affiliation_strings":["Quaid-e-Awam University of Engineering, Science & Technology, Nawabshah, Pakistan","School of Engineering and Information Technology, University of New South Wales Canberra, Canberra, ACT, Australia","Quaid-e-Awam University of Engineering, Science & Technology, Nawabshah, Pakistan; School of Engineering and Information Technology, University of New South Wales Canberra, Canberra, ACT, Australia"],"raw_orcid":"https://orcid.org/0000-0001-8821-2355","affiliations":[{"raw_affiliation_string":"Quaid-e-Awam University of Engineering, Science & Technology, Nawabshah, Pakistan","institution_ids":["https://openalex.org/I65146876"]},{"raw_affiliation_string":"School of Engineering and Information Technology, University of New South Wales Canberra, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I188329596","https://openalex.org/I31746571","https://openalex.org/I4394709116"]},{"raw_affiliation_string":"Quaid-e-Awam University of Engineering, Science & Technology, Nawabshah, Pakistan; School of Engineering and Information Technology, University of New South Wales Canberra, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I65146876","https://openalex.org/I31746571","https://openalex.org/I1323252656","https://openalex.org/I4394709116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061624230","display_name":"Md. Asikuzzaman","orcid":"https://orcid.org/0000-0003-2079-009X"},"institutions":[{"id":"https://openalex.org/I188329596","display_name":"University of Canberra","ror":"https://ror.org/04s1nv328","country_code":"AU","type":"education","lineage":["https://openalex.org/I188329596"]},{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]},{"id":"https://openalex.org/I4394709116","display_name":"UNSW Canberra","ror":"https://ror.org/0125wpx05","country_code":null,"type":"education","lineage":["https://openalex.org/I31746571","https://openalex.org/I4394709116"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"MD. Asikuzzaman","raw_affiliation_strings":["School of Engineering and Information Technology, University of New South Wales Canberra, Canberra, ACT, Australia","School of Engineering and Information Technology, The University of New South Wales, Canberra, Australia"],"raw_orcid":"https://orcid.org/0000-0003-2079-009X","affiliations":[{"raw_affiliation_string":"School of Engineering and Information Technology, University of New South Wales Canberra, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I188329596","https://openalex.org/I31746571","https://openalex.org/I4394709116"]},{"raw_affiliation_string":"School of Engineering and Information Technology, The University of New South Wales, Canberra, Australia","institution_ids":["https://openalex.org/I188329596","https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102882632","display_name":"Mark R. Pickering","orcid":"https://orcid.org/0000-0001-6736-3859"},"institutions":[{"id":"https://openalex.org/I188329596","display_name":"University of Canberra","ror":"https://ror.org/04s1nv328","country_code":"AU","type":"education","lineage":["https://openalex.org/I188329596"]},{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]},{"id":"https://openalex.org/I4394709116","display_name":"UNSW Canberra","ror":"https://ror.org/0125wpx05","country_code":null,"type":"education","lineage":["https://openalex.org/I31746571","https://openalex.org/I4394709116"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Mark R. Pickering","raw_affiliation_strings":["School of Engineering and Information Technology, University of New South Wales Canberra, Canberra, ACT, Australia","School of Engineering and Information Technology, The University of New South Wales, Canberra, Australia"],"raw_orcid":"https://orcid.org/0000-0001-6736-3859","affiliations":[{"raw_affiliation_string":"School of Engineering and Information Technology, University of New South Wales Canberra, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I188329596","https://openalex.org/I31746571","https://openalex.org/I4394709116"]},{"raw_affiliation_string":"School of Engineering and Information Technology, The University of New South Wales, Canberra, Australia","institution_ids":["https://openalex.org/I188329596","https://openalex.org/I31746571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086586039","display_name":"Mehwish Leghari","orcid":"https://orcid.org/0000-0002-0756-6336"},"institutions":[{"id":"https://openalex.org/I65146876","display_name":"Quaid-e-Awam University of Engineering, Science and Technology","ror":"https://ror.org/01t34b131","country_code":"PK","type":"education","lineage":["https://openalex.org/I65146876"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Mehwish Leghari","raw_affiliation_strings":["Quaid-e-Awam University of Engineering, Science & Technology, Nawabshah, Pakistan","Department of Information Technology, Quaid-e-Awam University, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Quaid-e-Awam University of Engineering, Science & Technology, Nawabshah, Pakistan","institution_ids":["https://openalex.org/I65146876"]},{"raw_affiliation_string":"Department of Information Technology, Quaid-e-Awam University, Pakistan","institution_ids":["https://openalex.org/I65146876"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"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":6.2951,"has_fulltext":true,"cited_by_count":68,"citation_normalized_percentile":{"value":0.97554085,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"10","issue":null,"first_page":"10062","last_page":"10078"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","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/T10601","display_name":"Handwritten Text Recognition Techniques","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/T12707","display_name":"Vehicle License Plate Recognition","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9925000071525574,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cursive","display_name":"Cursive","score":0.8866143226623535},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8295726776123047},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7837022542953491},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6644569635391235},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6058874130249023},{"id":"https://openalex.org/keywords/optical-character-recognition","display_name":"Optical character recognition","score":0.5232707262039185},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5196179747581482},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.47595903277397156},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47147229313850403},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4238066077232361},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4230189621448517},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.40234214067459106},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3315809965133667},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.21497371792793274}],"concepts":[{"id":"https://openalex.org/C2778943297","wikidata":"https://www.wikidata.org/wiki/Q1079418","display_name":"Cursive","level":2,"score":0.8866143226623535},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8295726776123047},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7837022542953491},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6644569635391235},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6058874130249023},{"id":"https://openalex.org/C546480517","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Optical character recognition","level":3,"score":0.5232707262039185},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5196179747581482},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.47595903277397156},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47147229313850403},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4238066077232361},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4230189621448517},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.40234214067459106},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3315809965133667},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.21497371792793274},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2022.3144844","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3144844","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09686684.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:doaj.org/article:31048d272de643a6882a870d124a00b1","is_oa":true,"landing_page_url":"https://doaj.org/article/31048d272de643a6882a870d124a00b1","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 10, Pp 10062-10078 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3144844","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3144844","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09686684.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/4","display_name":"Quality Education","score":0.8299999833106995}],"awards":[{"id":"https://openalex.org/G3767536874","display_name":null,"funder_award_id":"RTX6000","funder_id":"https://openalex.org/F4320309480","funder_display_name":"Nvidia"}],"funders":[{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"},{"id":"https://openalex.org/F4320313567","display_name":"University of New South Wales Canberra","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4206820039.pdf","grobid_xml":"https://content.openalex.org/works/W4206820039.grobid-xml"},"referenced_works_count":57,"referenced_works":["https://openalex.org/W70975097","https://openalex.org/W1686810756","https://openalex.org/W1836465849","https://openalex.org/W1922126009","https://openalex.org/W1978729128","https://openalex.org/W1981283549","https://openalex.org/W1998042868","https://openalex.org/W2053317383","https://openalex.org/W2064675550","https://openalex.org/W2069472161","https://openalex.org/W2079735306","https://openalex.org/W2105594594","https://openalex.org/W2106720743","https://openalex.org/W2107878631","https://openalex.org/W2114010056","https://openalex.org/W2122585011","https://openalex.org/W2123045220","https://openalex.org/W2127141656","https://openalex.org/W2142159465","https://openalex.org/W2143612262","https://openalex.org/W2150355110","https://openalex.org/W2157399234","https://openalex.org/W2194187530","https://openalex.org/W2194775991","https://openalex.org/W2217433794","https://openalex.org/W2302255633","https://openalex.org/W2552853657","https://openalex.org/W2593196750","https://openalex.org/W2604186312","https://openalex.org/W2609751027","https://openalex.org/W2753236292","https://openalex.org/W2779757316","https://openalex.org/W2794227877","https://openalex.org/W2798483844","https://openalex.org/W2808393803","https://openalex.org/W2887020527","https://openalex.org/W2894719476","https://openalex.org/W2899996070","https://openalex.org/W2909425146","https://openalex.org/W2911291251","https://openalex.org/W2923906479","https://openalex.org/W2944525610","https://openalex.org/W2946143059","https://openalex.org/W2959965583","https://openalex.org/W2962759292","https://openalex.org/W2982121298","https://openalex.org/W2983600372","https://openalex.org/W2986572042","https://openalex.org/W3003642782","https://openalex.org/W3004746693","https://openalex.org/W3034812631","https://openalex.org/W3153576714","https://openalex.org/W3174658120","https://openalex.org/W4399579348","https://openalex.org/W6637373629","https://openalex.org/W6638667902","https://openalex.org/W6755730432"],"related_works":["https://openalex.org/W4309734222","https://openalex.org/W2129386218","https://openalex.org/W2188440461","https://openalex.org/W3035903760","https://openalex.org/W2557740161","https://openalex.org/W2130196934","https://openalex.org/W2141642674","https://openalex.org/W2771940890","https://openalex.org/W2828735809","https://openalex.org/W2131512193"],"abstract_inverted_index":{"Text":[0],"recognition":[1,18,21,85,188,212],"in":[2,10,22,32,75,92,228],"natural":[3,23,76,229],"scene":[4,24],"images":[5,25,227],"is":[6,26,86,139,231,253],"a":[7,51,56,115,144,159,170,218],"challenging":[8],"problem":[9,65],"computer":[11],"vision.":[12],"Different":[13],"than":[14,247],"the":[15,64,80,93,99,131,134,157,166,177,181,186,211,216,238],"optical":[16],"character":[17],"(OCR),":[19],"text":[20,33,68,74,84,187,207],"more":[27,87,204],"complex":[28,38,88],"due":[29,89],"to":[30,62,79,90,153,164,175,202],"variations":[31,91],"size,":[34],"colors,":[35],"fonts,":[36],"orientations,":[37],"backgrounds,":[39],"occlusion,":[40],"illuminations":[41],"and":[42,108,127,155,169,200,209,256],"uneven":[43],"lighting":[44],"conditions.":[45],"In":[46],"this":[47],"paper,":[48],"we":[49,191],"propose":[50],"segmentation-free":[52],"method":[53],"based":[54,140],"on":[55,72,141],"deep":[57,145,240],"convolutional":[58,146,167],"recurrent":[59,160],"neural":[60,147,161],"network":[61,148,162,242,249],"solve":[63],"of":[66,98,133,223],"cursive":[67],"recognition,":[69],"particularly":[70],"focusing":[71],"Urdu":[73,83,206,225],"scenes.":[77],"Compared":[78],"non-cursive":[81],"scripts,":[82],"writing":[94],"styles,":[95],"several":[96],"shapes":[97],"same":[100],"character,":[101],"connected":[102],"text,":[103],"ligature":[104],"overlapping,":[105],"stretched,":[106],"diagonal":[107],"condensed":[109],"text.":[110],"The":[111,233,251],"proposed":[112,239],"model":[113,138],"gets":[114],"whole":[116],"word":[117,226],"image":[118],"as":[119],"an":[120],"input":[121],"without":[122],"pre-segmenting":[123],"into":[124,130,180],"individual":[125],"characters,":[126],"then":[128],"transforms":[129],"sequence":[132],"relevant":[135],"features.":[136],"Our":[137],"three":[142],"components:":[143],"(CNN)":[149],"with":[150,243],"shortcut":[151,244],"connections":[152,245],"extract":[154,203],"encode":[156],"features,":[158,168,208],"(RNN)":[163],"decode":[165],"connectionist":[171],"temporal":[172],"classification":[173],"(CTC)":[174],"map":[176],"predicted":[178],"sequences":[179],"target":[182],"labels.":[183],"To":[184,214],"increase":[185],"accuracy":[189],"further,":[190],"explore":[192],"deeper":[193],"CNN":[194],"architectures":[195],"like":[196],"VGG-16,":[197],"VGG-19,":[198],"ResNet-18":[199],"ResNet-34":[201],"appropriate":[205],"compare":[210],"results.":[213],"conduct":[215],"experiments,":[217],"new":[219],"large-scale":[220],"benchmark":[221],"dataset":[222,252],"cropped":[224],"scenes":[230],"developed.":[232],"experimental":[234],"results":[235],"show":[236],"that":[237],"CRNN":[241],"outperform":[246],"other":[248],"architectures.":[250],"publicly":[254],"available":[255],"can":[257],"be":[258],"downloaded":[259],"from":[260],"<uri":[261],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[262],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://data.mendeley.com/datasets/k5fz57zd9z/1</uri>":[263],".":[264]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":19},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":18},{"year":2022,"cited_by_count":10}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
