{"id":"https://openalex.org/W7143377352","doi":"https://doi.org/10.1109/tetci.2026.3668671","title":"A Comprehensive Survey on Underwater Image Enhancement Based on Deep Learning","display_name":"A Comprehensive Survey on Underwater Image Enhancement Based on Deep Learning","publication_year":2026,"publication_date":"2026-03-30","ids":{"openalex":"https://openalex.org/W7143377352","doi":"https://doi.org/10.1109/tetci.2026.3668671"},"language":"en","primary_location":{"id":"doi:10.1109/tetci.2026.3668671","doi":"https://doi.org/10.1109/tetci.2026.3668671","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2026.3668671","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-c","jufo-1","norway-1","poland-20","russia-white-list-1"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2405.19684","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100688534","display_name":"Xiaofeng Cong","orcid":"https://orcid.org/0000-0001-8850-3507","observed_orcids":["https://orcid.org/0000-0001-8850-3507"]},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofeng Cong","raw_affiliation_strings":["Southeast University"],"raw_orcid":"https://orcid.org/0000-0001-8850-3507","affiliations":[{"raw_affiliation_string":"Southeast University","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108883399","display_name":"Yu Zhao","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Zhao","raw_affiliation_strings":["Southeast University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southeast University","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5094238230","display_name":"Jie Gui","orcid":"https://orcid.org/0000-0002-9450-1759","observed_orcids":["https://orcid.org/0000-0002-9450-1759"]},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Gui","raw_affiliation_strings":["Southeast University"],"raw_orcid":"https://orcid.org/0000-0002-9450-1759","affiliations":[{"raw_affiliation_string":"Southeast University","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100725527","display_name":"Junming Hou","orcid":"https://orcid.org/0000-0002-5860-5665","observed_orcids":["https://orcid.org/0000-0002-5860-5665"]},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junming Hou","raw_affiliation_strings":["Southeast University"],"raw_orcid":"https://orcid.org/0000-0002-5860-5665","affiliations":[{"raw_affiliation_string":"Southeast University","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074103823","display_name":"Dacheng Tao","orcid":"https://orcid.org/0000-0001-7225-5449","observed_orcids":["https://orcid.org/0000-0001-7225-5449","https://orcid.org/0000-0002-5979-578X","https://orcid.org/0000-0002-9209-036X"]},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Dacheng Tao","raw_affiliation_strings":["Nanyang Technological University"],"raw_orcid":"https://orcid.org/0000-0001-7225-5449","affiliations":[{"raw_affiliation_string":"Nanyang Technological University","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":80.0021,"has_fulltext":true,"cited_by_count":81,"citation_normalized_percentile":{"value":0.99943404,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"10","issue":"4","first_page":"2783","last_page":"2801"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9994999766349792,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9994999766349792,"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/T11192","display_name":"Underwater Vehicles and Communication Systems","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T13114","display_name":"Image Processing Techniques and Applications","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/underwater-image-enhancement","display_name":"underwater image enhancement","score":1.0},{"id":"https://openalex.org/keywords/underwater-images","display_name":"underwater imagery","score":0.5239999890327454},{"id":"https://openalex.org/keywords/deep-learning","display_name":"deep learning","score":0.6060000061988831},{"id":"https://openalex.org/keywords/physical-model","display_name":"physical model","score":0.578000009059906},{"id":"https://openalex.org/keywords/underwater-image-dataset","display_name":"underwater image dataset","score":0.46399998664855957},{"id":"https://openalex.org/keywords/evaluation-indicators","display_name":"evaluation metrics","score":0.8259999752044678},{"id":"https://openalex.org/keywords/loss-functions","display_name":"loss functions","score":0.9739999771118164},{"id":"https://openalex.org/keywords/network-architecture","display_name":"network architecture","score":0.906000018119812},{"id":"https://openalex.org/keywords/learning-strategies","display_name":"learning strategies","score":0.5479999780654907},{"id":"https://openalex.org/keywords/auxiliary-tasks","display_name":"auxiliary tasks","score":0.753000020980835},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"domain adaptation","score":0.699999988079071},{"id":"https://openalex.org/keywords/benchmark-comparison","display_name":"benchmark comparison","score":0.7440000176429749}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7128999829292297},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6866000294685364},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5820000171661377},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5164999961853027},{"id":"https://openalex.org/C3017601658","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image enhancement","level":3,"score":0.396699994802475},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.33160001039505005},{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.3310000002384186},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3160000145435333},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3086000084877014},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.30219998955726624},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.2980000078678131},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.28619998693466187},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.2840999960899353},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.26759999990463257},{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.25589999556541443},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.25440001487731934},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2524999976158142}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tetci.2026.3668671","doi":"https://doi.org/10.1109/tetci.2026.3668671","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2026.3668671","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-c","jufo-1","norway-1","poland-20","russia-white-list-1"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2405.19684","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2405.19684","pdf_url":"https://arxiv.org/pdf/2405.19684","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},{"id":"doi:10.48550/arxiv.2405.19684","doi":"https://doi.org/10.48550/arxiv.2405.19684","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2405.19684","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2405.19684","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2405.19684","pdf_url":"https://arxiv.org/pdf/2405.19684","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F2608186204","display_name":"Big Data Computing Center, Southeast University","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7143377352.pdf","grobid_xml":"https://content.openalex.org/works/W7143377352.grobid-xml"},"referenced_works_count":185,"referenced_works":["https://openalex.org/W1973569872","https://openalex.org/W1976263166","https://openalex.org/W2009071067","https://openalex.org/W2102166818","https://openalex.org/W2119717200","https://openalex.org/W2123119012","https://openalex.org/W2133665775","https://openalex.org/W2151103935","https://openalex.org/W2181646778","https://openalex.org/W2293581118","https://openalex.org/W2402985658","https://openalex.org/W2474516010","https://openalex.org/W2587107113","https://openalex.org/W2593797484","https://openalex.org/W2626778328","https://openalex.org/W2746518190","https://openalex.org/W2763503841","https://openalex.org/W2776107444","https://openalex.org/W2784079831","https://openalex.org/W2790284570","https://openalex.org/W2798898057","https://openalex.org/W2884367402","https://openalex.org/W2892845027","https://openalex.org/W2909208433","https://openalex.org/W2925094354","https://openalex.org/W2950055287","https://openalex.org/W2950524558","https://openalex.org/W2952268784","https://openalex.org/W2956328874","https://openalex.org/W2962793481","https://openalex.org/W2966501856","https://openalex.org/W2966516593","https://openalex.org/W2971483169","https://openalex.org/W2991938283","https://openalex.org/W2994899984","https://openalex.org/W2997763120","https://openalex.org/W2999811308","https://openalex.org/W3004469096","https://openalex.org/W3014111670","https://openalex.org/W3020334921","https://openalex.org/W3034429116","https://openalex.org/W3036225740","https://openalex.org/W3038967119","https://openalex.org/W3063016731","https://openalex.org/W3094174063","https://openalex.org/W3095921757","https://openalex.org/W3096831136","https://openalex.org/W3106850582","https://openalex.org/W3120126474","https://openalex.org/W3120675193","https://openalex.org/W3127326842","https://openalex.org/W3138516171","https://openalex.org/W3146366485","https://openalex.org/W3153781409","https://openalex.org/W3154347377","https://openalex.org/W3156187408","https://openalex.org/W3157502174","https://openalex.org/W3164074091","https://openalex.org/W3169767072","https://openalex.org/W3171662571","https://openalex.org/W3175634636","https://openalex.org/W3176071058","https://openalex.org/W3176779361","https://openalex.org/W3184054654","https://openalex.org/W3184356341","https://openalex.org/W3194942914","https://openalex.org/W3201231642","https://openalex.org/W3203221304","https://openalex.org/W3203241450","https://openalex.org/W3205185163","https://openalex.org/W3205291758","https://openalex.org/W3205293055","https://openalex.org/W3205494421","https://openalex.org/W3209760397","https://openalex.org/W3214264009","https://openalex.org/W4210645716","https://openalex.org/W4221146478","https://openalex.org/W4221161982","https://openalex.org/W4221166782","https://openalex.org/W4225309680","https://openalex.org/W4226213342","https://openalex.org/W4226453196","https://openalex.org/W4281262963","https://openalex.org/W4281937845","https://openalex.org/W4282914989","https://openalex.org/W4283784160","https://openalex.org/W4283808395","https://openalex.org/W4285025661","https://openalex.org/W4285102172","https://openalex.org/W4285227671","https://openalex.org/W4285228564","https://openalex.org/W4285821234","https://openalex.org/W4292793946","https://openalex.org/W4294871818","https://openalex.org/W4296128870","https://openalex.org/W4307040579","https://openalex.org/W4310418676","https://openalex.org/W4312037479","https://openalex.org/W4312187100","https://openalex.org/W4312373367","https://openalex.org/W4312869969","https://openalex.org/W4312926817","https://openalex.org/W4313026854","https://openalex.org/W4319336192","https://openalex.org/W4321033361","https://openalex.org/W4322746704","https://openalex.org/W4322746840","https://openalex.org/W4377079715","https://openalex.org/W4380880261","https://openalex.org/W4381187558","https://openalex.org/W4382365354","https://openalex.org/W4382457726","https://openalex.org/W4383752898","https://openalex.org/W4385338672","https://openalex.org/W4385539485","https://openalex.org/W4385834355","https://openalex.org/W4386057761","https://openalex.org/W4386065363","https://openalex.org/W4386066507","https://openalex.org/W4386071708","https://openalex.org/W4386133664","https://openalex.org/W4386158749","https://openalex.org/W4386363054","https://openalex.org/W4386598447","https://openalex.org/W4386598471","https://openalex.org/W4386702784","https://openalex.org/W4386766981","https://openalex.org/W4387020961","https://openalex.org/W4387491703","https://openalex.org/W4387570066","https://openalex.org/W4387790049","https://openalex.org/W4387968090","https://openalex.org/W4387969013","https://openalex.org/W4387969772","https://openalex.org/W4387987031","https://openalex.org/W4388017406","https://openalex.org/W4388192825","https://openalex.org/W4388342474","https://openalex.org/W4388562489","https://openalex.org/W4388571559","https://openalex.org/W4388692378","https://openalex.org/W4388979245","https://openalex.org/W4389118810","https://openalex.org/W4389161154","https://openalex.org/W4389195994","https://openalex.org/W4389459295","https://openalex.org/W4389495270","https://openalex.org/W4390190121","https://openalex.org/W4390493314","https://openalex.org/W4390604514","https://openalex.org/W4390651571","https://openalex.org/W4390745158","https://openalex.org/W4390787977","https://openalex.org/W4391216887","https://openalex.org/W4391249334","https://openalex.org/W4391293941","https://openalex.org/W4391520444","https://openalex.org/W4392405753","https://openalex.org/W4392909761","https://openalex.org/W4393149751","https://openalex.org/W4394593017","https://openalex.org/W4394603868","https://openalex.org/W4394744286","https://openalex.org/W4402716349","https://openalex.org/W4402727373","https://openalex.org/W4402777432","https://openalex.org/W4402783890","https://openalex.org/W4403914475","https://openalex.org/W4404632928","https://openalex.org/W4405139613","https://openalex.org/W4405717791","https://openalex.org/W4405755025","https://openalex.org/W4405864600","https://openalex.org/W4405894080","https://openalex.org/W4405997983","https://openalex.org/W4406354112","https://openalex.org/W4406726289","https://openalex.org/W4406862273","https://openalex.org/W4406943226","https://openalex.org/W4407937600","https://openalex.org/W4408520490","https://openalex.org/W4408935015","https://openalex.org/W4410226433","https://openalex.org/W4412724368","https://openalex.org/W4414077958"],"related_works":["https://openalex.org/W7127574172","https://openalex.org/W7168350812","https://openalex.org/W7128633227","https://openalex.org/W4408007183","https://openalex.org/W7161804022","https://openalex.org/W7167699798","https://openalex.org/W3063016731","https://openalex.org/W7162450365","https://openalex.org/W2909208433","https://openalex.org/W4213231706"],"abstract_inverted_index":{"Underwater":[0],"image":[1],"enhancement":[2],"(UIE)":[3],"presents":[4],"a":[5,19,33,95],"significant":[6],"challenge":[7],"within":[8],"computer":[9],"vision":[10],"research.":[11],"Despite":[12],"the":[13,37,46,87,92],"development":[14],"of":[15,36,113],"numerous":[16],"UIE":[17,38],"algorithms,":[18],"thorough":[20],"and":[21,54,60,81,97,110],"systematic":[22],"review":[23],"is":[24,100],"still":[25],"absent.":[26],"To":[27,103],"foster":[28],"future":[29,126],"advancements,":[30],"we":[31,44,58,106,121],"provide":[32],"detailed":[34],"overview":[35],"task":[39],"from":[40],"several":[41],"perspectives.":[42],"Firstly,":[43],"introduce":[45],"physical":[47],"models,":[48],"data":[49],"construction":[50],"processes,":[51],"evaluation":[52],"metrics,":[53],"loss":[55],"functions.":[56],"Secondly,":[57],"categorize":[59],"discuss":[61],"recent":[62],"algorithms":[63,115],"based":[64],"on":[65],"their":[66],"contributions,":[67],"considering":[68],"six":[69],"aspects:":[70],"network":[71],"architecture,":[72],"learning":[73,75],"strategy,":[74],"stage,":[76],"auxiliary":[77],"tasks,":[78],"domain":[79],"perspective,":[80],"disentanglement":[82],"fusion.":[83],"Thirdly,":[84],"due":[85],"to":[86],"varying":[88],"experimental":[89],"setups":[90],"in":[91,128],"existing":[93],"literature,":[94],"comprehensive":[96],"unbiased":[98],"comparison":[99],"currently":[101],"unavailable.":[102],"address":[104],"this,":[105],"perform":[107],"both":[108],"quantitative":[109],"qualitative":[111],"evaluations":[112],"state-of-the-art":[114],"across":[116],"multiple":[117],"benchmark":[118],"datasets.":[119],"Lastly,":[120],"identify":[122],"key":[123],"areas":[124],"for":[125],"research":[127],"UIE.":[129]},"counts_by_year":[{"year":2026,"cited_by_count":55},{"year":2025,"cited_by_count":22},{"year":2024,"cited_by_count":4}],"updated_date":"2026-11-13T13:42:25.865203","created_date":"2026-02-28T00:00:00"}