{"id":"https://openalex.org/W4412895585","doi":"https://doi.org/10.3390/jimaging11080259","title":"Road Marking Damage Degree Detection Based on Boundary Features Enhanced and Asymmetric Large Field-of-View Contextual Features","display_name":"Road Marking Damage Degree Detection Based on Boundary Features Enhanced and Asymmetric Large Field-of-View Contextual Features","publication_year":2025,"publication_date":"2025-08-04","ids":{"openalex":"https://openalex.org/W4412895585","doi":"https://doi.org/10.3390/jimaging11080259","pmid":"https://pubmed.ncbi.nlm.nih.gov/40863469"},"language":"en","primary_location":{"id":"doi:10.3390/jimaging11080259","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging11080259","pdf_url":"https://www.mdpi.com/2313-433X/11/8/259/pdf?version=1754295701","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2313-433X/11/8/259/pdf?version=1754295701","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5108265626","display_name":"Zheng Wang","orcid":"https://orcid.org/0009-0000-9368-631X"},"institutions":[{"id":"https://openalex.org/I178574317","display_name":"Mie University","ror":"https://ror.org/01529vy56","country_code":"JP","type":"education","lineage":["https://openalex.org/I178574317"]},{"id":"https://openalex.org/I4210116542","display_name":"Mie University Hospital","ror":"https://ror.org/01v9g9c07","country_code":"JP","type":"healthcare","lineage":["https://openalex.org/I4210116542"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Zheng Wang","raw_affiliation_strings":["Faculty of Engineering, Mie University, Tsu 514-8507, Mie Prefecture, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Mie University, Tsu 514-8507, Mie Prefecture, Japan","institution_ids":["https://openalex.org/I178574317","https://openalex.org/I4210116542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088437154","display_name":"Ryojun Ikeura","orcid":"https://orcid.org/0000-0001-9174-4379"},"institutions":[{"id":"https://openalex.org/I178574317","display_name":"Mie University","ror":"https://ror.org/01529vy56","country_code":"JP","type":"education","lineage":["https://openalex.org/I178574317"]},{"id":"https://openalex.org/I4210116542","display_name":"Mie University Hospital","ror":"https://ror.org/01v9g9c07","country_code":"JP","type":"healthcare","lineage":["https://openalex.org/I4210116542"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Ryojun Ikeura","raw_affiliation_strings":["Faculty of Engineering, Mie University, Tsu 514-8507, Mie Prefecture, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Mie University, Tsu 514-8507, Mie Prefecture, Japan","institution_ids":["https://openalex.org/I178574317","https://openalex.org/I4210116542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110520622","display_name":"Soichiro Hayakawa","orcid":null},"institutions":[{"id":"https://openalex.org/I178574317","display_name":"Mie University","ror":"https://ror.org/01529vy56","country_code":"JP","type":"education","lineage":["https://openalex.org/I178574317"]},{"id":"https://openalex.org/I4210116542","display_name":"Mie University Hospital","ror":"https://ror.org/01v9g9c07","country_code":"JP","type":"healthcare","lineage":["https://openalex.org/I4210116542"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Soichiro Hayakawa","raw_affiliation_strings":["Faculty of Engineering, Mie University, Tsu 514-8507, Mie Prefecture, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Mie University, Tsu 514-8507, Mie Prefecture, Japan","institution_ids":["https://openalex.org/I178574317","https://openalex.org/I4210116542"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100604714","display_name":"Zhiliang Zhang","orcid":"https://orcid.org/0000-0002-4935-5457"},"institutions":[{"id":"https://openalex.org/I178574317","display_name":"Mie University","ror":"https://ror.org/01529vy56","country_code":"JP","type":"education","lineage":["https://openalex.org/I178574317"]},{"id":"https://openalex.org/I4210116542","display_name":"Mie University Hospital","ror":"https://ror.org/01v9g9c07","country_code":"JP","type":"healthcare","lineage":["https://openalex.org/I4210116542"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Zhiliang Zhang","raw_affiliation_strings":["Faculty of Engineering, Mie University, Tsu 514-8507, Mie Prefecture, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Mie University, Tsu 514-8507, Mie Prefecture, Japan","institution_ids":["https://openalex.org/I178574317","https://openalex.org/I4210116542"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5088437154","https://openalex.org/A5100604714"],"corresponding_institution_ids":["https://openalex.org/I178574317","https://openalex.org/I4210116542"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1782},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1782},"fwci":0.4811,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.61124531,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"11","issue":"8","first_page":"259","last_page":"259"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9955999851226807,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.8515421748161316},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7782162427902222},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6068145632743835},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5892159938812256},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5792193412780762},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.5114434957504272},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5094149708747864},{"id":"https://openalex.org/keywords/prioritization","display_name":"Prioritization","score":0.49214714765548706},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48516136407852173},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4791414141654968},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.47304004430770874},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43489906191825867},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41562947630882263},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4141003489494324},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3761821389198303},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32252037525177},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10529431700706482},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08458536863327026},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.07903382182121277}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8515421748161316},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7782162427902222},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6068145632743835},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5892159938812256},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5792193412780762},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.5114434957504272},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5094149708747864},{"id":"https://openalex.org/C2777615720","wikidata":"https://www.wikidata.org/wiki/Q11888847","display_name":"Prioritization","level":2,"score":0.49214714765548706},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48516136407852173},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4791414141654968},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.47304004430770874},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43489906191825867},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41562947630882263},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4141003489494324},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3761821389198303},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32252037525177},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10529431700706482},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08458536863327026},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.07903382182121277},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"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},{"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/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","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},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/jimaging11080259","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging11080259","pdf_url":"https://www.mdpi.com/2313-433X/11/8/259/pdf?version=1754295701","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},{"id":"pmid:40863469","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40863469","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of imaging","raw_type":null},{"id":"pmh:oai:doaj.org/article:1c735f42237b4cedb1023d8f23d3a098","is_oa":true,"landing_page_url":"https://doaj.org/article/1c735f42237b4cedb1023d8f23d3a098","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":"Journal of Imaging, Vol 11, Iss 8, p 259 (2025)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:11195615","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/12387804","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/jimaging11080259","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging11080259","pdf_url":"https://www.mdpi.com/2313-433X/11/8/259/pdf?version=1754295701","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412895585.pdf"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1976362452","https://openalex.org/W2159132531","https://openalex.org/W2277132981","https://openalex.org/W2395611524","https://openalex.org/W2560023338","https://openalex.org/W2565639579","https://openalex.org/W2745410201","https://openalex.org/W2783942896","https://openalex.org/W2783983657","https://openalex.org/W2884585870","https://openalex.org/W2895820365","https://openalex.org/W2903602154","https://openalex.org/W2955058313","https://openalex.org/W2962914239","https://openalex.org/W2971198903","https://openalex.org/W2978864084","https://openalex.org/W2981992989","https://openalex.org/W3033327717","https://openalex.org/W3084892460","https://openalex.org/W3093905905","https://openalex.org/W3112503277","https://openalex.org/W3127939367","https://openalex.org/W3138516171","https://openalex.org/W3153051248","https://openalex.org/W3185222755","https://openalex.org/W3193657030","https://openalex.org/W3197017665","https://openalex.org/W3203848864","https://openalex.org/W3203911595","https://openalex.org/W3205511895","https://openalex.org/W3209573752","https://openalex.org/W3209802852","https://openalex.org/W4226219071","https://openalex.org/W4281975579","https://openalex.org/W4283832147","https://openalex.org/W4288064693","https://openalex.org/W4292387286","https://openalex.org/W4295532929","https://openalex.org/W4385825834","https://openalex.org/W4399268271","https://openalex.org/W4405001369","https://openalex.org/W4410613981","https://openalex.org/W6803057854","https://openalex.org/W6811047480","https://openalex.org/W6841590925"],"related_works":["https://openalex.org/W2506292322","https://openalex.org/W2383111961","https://openalex.org/W2365952365","https://openalex.org/W2352448290","https://openalex.org/W2380820513","https://openalex.org/W4283209547","https://openalex.org/W2913146933","https://openalex.org/W2372385138","https://openalex.org/W4296359239","https://openalex.org/W2101155126"],"abstract_inverted_index":{"Road":[0],"markings,":[1],"as":[2],"critical":[3],"components":[4],"of":[5,16,35,55,65,74,139,157,186],"transportation":[6],"infrastructure,":[7],"are":[8,29],"crucial":[9],"for":[10,22,51,87,175],"ensuring":[11],"traffic":[12],"safety.":[13],"Accurate":[14],"quantification":[15,151],"their":[17],"damage":[18,36,150],"severity":[19,88],"is":[20],"vital":[21],"effective":[23,169],"maintenance":[24,177],"prioritization.":[25],"However,":[26],"existing":[27],"methods":[28],"limited":[30],"to":[31],"detecting":[32],"the":[33,53,69,75,99,113,142,149,161,182],"presence":[34],"without":[37],"assessing":[38],"its":[39],"extent.":[40],"To":[41,90],"address":[42],"this":[43],"limitation,":[44],"we":[45,94],"propose":[46],"a":[47,153],"novel":[48],"segmentation-based":[49],"framework":[50],"estimating":[52],"degree":[54],"road":[56,187],"marking":[57,188],"damage.":[58],"The":[59,127,164],"method":[60,133],"comprises":[61],"two":[62,96],"stages:":[63],"segmentation":[64,73,92,137],"residual":[66],"pixels":[67],"from":[68],"damaged":[70],"markings":[71,77],"and":[72,85,112,124,170,179,184],"intact":[76],"region.":[78],"This":[79],"dual-segmentation":[80],"strategy":[81],"enables":[82],"precise":[83],"reconstruction":[84],"comparison":[86],"estimation.":[89],"enhance":[91],"performance,":[93],"proposed":[95,165],"key":[97],"modules:":[98],"Asymmetric":[100],"Large":[101],"Field-of-View":[102],"Contextual":[103],"(ALFVC)":[104],"module,":[105,119],"which":[106,120],"captures":[107],"rich":[108],"multi-scale":[109],"contextual":[110],"features,":[111],"supervised":[114],"Boundary":[115],"Feature":[116],"Enhancement":[117],"(BFE)":[118],"strengthens":[121],"shape":[122],"representation":[123],"boundary":[125],"accuracy.":[126],"experimental":[128],"results":[129],"demonstrate":[130],"that":[131],"our":[132],"achieved":[134,152],"an":[135],"average":[136],"accuracy":[138],"89.44%,":[140],"outperforming":[141],"baseline":[143],"by":[144],"5.86":[145],"percentage":[146],"points.":[147],"Moreover,":[148],"minimum":[154],"error":[155],"rate":[156],"just":[158],"0.22%":[159],"on":[160],"proprietary":[162],"dataset.":[163],"approach":[166],"was":[167],"both":[168],"lightweight,":[171],"providing":[172],"valuable":[173],"support":[174],"automated":[176],"planning,":[178],"significantly":[180],"improving":[181],"efficiency":[183],"precision":[185],"management.":[189]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}