{"id":"https://openalex.org/W4283576541","doi":"https://doi.org/10.3389/fnbot.2022.729924","title":"Adaptive Bilateral Texture Filter for Image Smoothing","display_name":"Adaptive Bilateral Texture Filter for Image Smoothing","publication_year":2022,"publication_date":"2022-06-27","ids":{"openalex":"https://openalex.org/W4283576541","doi":"https://doi.org/10.3389/fnbot.2022.729924","pmid":"https://pubmed.ncbi.nlm.nih.gov/35832348"},"language":"en","primary_location":{"id":"doi:10.3389/fnbot.2022.729924","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fnbot.2022.729924","pdf_url":"https://www.frontiersin.org/articles/10.3389/fnbot.2022.729924/pdf","source":{"id":"https://openalex.org/S115606517","display_name":"Frontiers in Neurorobotics","issn_l":"1662-5218","issn":["1662-5218"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Neurorobotics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.frontiersin.org/articles/10.3389/fnbot.2022.729924/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018244056","display_name":"Huiqin Xu","orcid":"https://orcid.org/0000-0001-9655-4187"},"institutions":[{"id":"https://openalex.org/I3133134087","display_name":"Lanzhou Jiaotong University","ror":"https://ror.org/03144pv92","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133134087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huiqin Xu","raw_affiliation_strings":["School of Mathematics and Physics, Lanzhou Jiaotong University, Lanzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Physics, Lanzhou Jiaotong University, Lanzhou, China","institution_ids":["https://openalex.org/I3133134087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069351194","display_name":"Zhongrong Zhang","orcid":"https://orcid.org/0000-0002-8176-7144"},"institutions":[{"id":"https://openalex.org/I3133134087","display_name":"Lanzhou Jiaotong University","ror":"https://ror.org/03144pv92","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133134087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongrong Zhang","raw_affiliation_strings":["School of Mathematics and Physics, Lanzhou Jiaotong University, Lanzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Physics, Lanzhou Jiaotong University, Lanzhou, China","institution_ids":["https://openalex.org/I3133134087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101578762","display_name":"Yin Gao","orcid":"https://orcid.org/0000-0003-3902-0087"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210151023","display_name":"Quanzhou Institute of Equipment Manufacturing Haixi Institute","ror":"https://ror.org/05ev3vr27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151023"]},{"id":"https://openalex.org/I4210156302","display_name":"Tan Kah Kee Innovation Laboratory","ror":"https://ror.org/05jxgts87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210156302"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yin Gao","raw_affiliation_strings":["Fujian Science & Technology Innovation Laboratory for Optoelectronic Information of China, Fuzhou, China","Quanzhou Institute of Equipment Manufacturing, Chinese Academy of Sciences (CAS), Quanzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujian Science & Technology Innovation Laboratory for Optoelectronic Information of China, Fuzhou, China","institution_ids":["https://openalex.org/I4210156302"]},{"raw_affiliation_string":"Quanzhou Institute of Equipment Manufacturing, Chinese Academy of Sciences (CAS), Quanzhou, China","institution_ids":["https://openalex.org/I4210151023","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006153026","display_name":"Haizhong Liu","orcid":"https://orcid.org/0000-0001-6733-2489"},"institutions":[{"id":"https://openalex.org/I3133134087","display_name":"Lanzhou Jiaotong University","ror":"https://ror.org/03144pv92","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133134087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haizhong Liu","raw_affiliation_strings":["School of Mathematics and Physics, Lanzhou Jiaotong University, Lanzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Physics, Lanzhou Jiaotong University, Lanzhou, China","institution_ids":["https://openalex.org/I3133134087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107844052","display_name":"Feng Xie","orcid":"https://orcid.org/0000-0002-7875-9354"},"institutions":[{"id":"https://openalex.org/I4210157642","display_name":"Institute of Automation","ror":"https://ror.org/056qj1t15","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210157642","https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Feng Xie","raw_affiliation_strings":["Institute of Automation and Communication Magdeburg, Magdeburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation and Communication Magdeburg, Magdeburg, Germany","institution_ids":["https://openalex.org/I4210157642"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100361757","display_name":"Jun Li","orcid":"https://orcid.org/0000-0002-0652-6041"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210151023","display_name":"Quanzhou Institute of Equipment Manufacturing Haixi Institute","ror":"https://ror.org/05ev3vr27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151023"]},{"id":"https://openalex.org/I4210156302","display_name":"Tan Kah Kee Innovation Laboratory","ror":"https://ror.org/05jxgts87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210156302"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jun Li","raw_affiliation_strings":["Fujian Science & Technology Innovation Laboratory for Optoelectronic Information of China, Fuzhou, China","Quanzhou Institute of Equipment Manufacturing, Chinese Academy of Sciences (CAS), Quanzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujian Science & Technology Innovation Laboratory for Optoelectronic Information of China, Fuzhou, China","institution_ids":["https://openalex.org/I4210156302"]},{"raw_affiliation_string":"Quanzhou Institute of Equipment Manufacturing, Chinese Academy of Sciences (CAS), Quanzhou, China","institution_ids":["https://openalex.org/I4210151023","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100361757"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210151023","https://openalex.org/I4210156302"],"apc_list":{"value":2950,"currency":"USD","value_usd":2950},"apc_paid":{"value":2950,"currency":"USD","value_usd":2950},"fwci":0.5079,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.63184107,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"16","issue":null,"first_page":"729924","last_page":"729924"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9990000128746033,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9965000152587891,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7546660900115967},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7143782377243042},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.7083550095558167},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6877244114875793},{"id":"https://openalex.org/keywords/bilateral-filter","display_name":"Bilateral filter","score":0.6770856976509094},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6607500314712524},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6553902626037598},{"id":"https://openalex.org/keywords/texture-filtering","display_name":"Texture filtering","score":0.6528029441833496},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5548805594444275},{"id":"https://openalex.org/keywords/smoothness","display_name":"Smoothness","score":0.544916570186615},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.4691179096698761},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4611200988292694},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.4562351703643799},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.45451825857162476},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.28400397300720215},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2754054069519043},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.26073139905929565}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7546660900115967},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7143782377243042},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.7083550095558167},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6877244114875793},{"id":"https://openalex.org/C156140930","wikidata":"https://www.wikidata.org/wiki/Q860417","display_name":"Bilateral filter","level":3,"score":0.6770856976509094},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6607500314712524},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6553902626037598},{"id":"https://openalex.org/C144743038","wikidata":"https://www.wikidata.org/wiki/Q3267765","display_name":"Texture filtering","level":5,"score":0.6528029441833496},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5548805594444275},{"id":"https://openalex.org/C102634674","wikidata":"https://www.wikidata.org/wiki/Q868473","display_name":"Smoothness","level":2,"score":0.544916570186615},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.4691179096698761},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4611200988292694},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.4562351703643799},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.45451825857162476},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.28400397300720215},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2754054069519043},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.26073139905929565},{"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3389/fnbot.2022.729924","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fnbot.2022.729924","pdf_url":"https://www.frontiersin.org/articles/10.3389/fnbot.2022.729924/pdf","source":{"id":"https://openalex.org/S115606517","display_name":"Frontiers in Neurorobotics","issn_l":"1662-5218","issn":["1662-5218"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Neurorobotics","raw_type":"journal-article"},{"id":"pmid:35832348","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35832348","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":"Frontiers in neurorobotics","raw_type":null},{"id":"pmh:oai:doaj.org/article:94d495d947004edbb11c9897b9cd4f40","is_oa":false,"landing_page_url":"https://doaj.org/article/94d495d947004edbb11c9897b9cd4f40","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Frontiers in Neurorobotics, Vol 16 (2022)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:9272735","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9272735","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Front Neurorobot","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3389/fnbot.2022.729924","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fnbot.2022.729924","pdf_url":"https://www.frontiersin.org/articles/10.3389/fnbot.2022.729924/pdf","source":{"id":"https://openalex.org/S115606517","display_name":"Frontiers in Neurorobotics","issn_l":"1662-5218","issn":["1662-5218"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Neurorobotics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1776443447","display_name":null,"funder_award_id":"62001452","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4283576541.pdf","grobid_xml":"https://content.openalex.org/works/W4283576541.grobid-xml"},"referenced_works_count":54,"referenced_works":["https://openalex.org/W1492046297","https://openalex.org/W1885185971","https://openalex.org/W2040334833","https://openalex.org/W2057203222","https://openalex.org/W2078718577","https://openalex.org/W2099244020","https://openalex.org/W2103559027","https://openalex.org/W2107462260","https://openalex.org/W2109075629","https://openalex.org/W2125188192","https://openalex.org/W2125281170","https://openalex.org/W2141957843","https://openalex.org/W2141983208","https://openalex.org/W2145023731","https://openalex.org/W2146578165","https://openalex.org/W2150134853","https://openalex.org/W2303971967","https://openalex.org/W2746235183","https://openalex.org/W2791880444","https://openalex.org/W2793331734","https://openalex.org/W2794686168","https://openalex.org/W2795201527","https://openalex.org/W2891878684","https://openalex.org/W2901148082","https://openalex.org/W2906425348","https://openalex.org/W2921488062","https://openalex.org/W2945409068","https://openalex.org/W2946007407","https://openalex.org/W2946695438","https://openalex.org/W2978930127","https://openalex.org/W3009317908","https://openalex.org/W3035133372","https://openalex.org/W3037047675","https://openalex.org/W3099581845","https://openalex.org/W3099892526","https://openalex.org/W3102120669","https://openalex.org/W3129376454","https://openalex.org/W4210368252","https://openalex.org/W4229620742","https://openalex.org/W4235375376","https://openalex.org/W4301409532","https://openalex.org/W6639138679","https://openalex.org/W6662192985","https://openalex.org/W6681174090","https://openalex.org/W6688128944","https://openalex.org/W6689586722","https://openalex.org/W6721320948","https://openalex.org/W6729124914","https://openalex.org/W6736210646","https://openalex.org/W6737601324","https://openalex.org/W6743504823","https://openalex.org/W6751081282","https://openalex.org/W6758136833","https://openalex.org/W6792225033"],"related_works":["https://openalex.org/W2134817643","https://openalex.org/W2363386023","https://openalex.org/W2165772202","https://openalex.org/W4206521271","https://openalex.org/W2154859065","https://openalex.org/W2115502907","https://openalex.org/W1983661653","https://openalex.org/W108422478","https://openalex.org/W2093957690","https://openalex.org/W2166724105"],"abstract_inverted_index":{"The":[0],"biggest":[1],"challenge":[2],"of":[3,100],"texture":[4,33],"filtering":[5,34,110],"is":[6,19,46,59,70,85],"to":[7,21,76,90],"smooth":[8],"the":[9,15,40,52,63,66,78,81,92,97,109,121,126],"strong":[10],"gradient":[11,44],"textures":[12,127],"while":[13,80,128],"maintaining":[14],"weak":[16],"structures,":[17],"which":[18,103],"difficult":[20],"achieve":[22],"with":[23,43],"current":[24],"methods.":[25],"Based":[26],"on":[27,62,88],"this,":[28],"we":[29,95],"propose":[30],"a":[31],"scale-adaptive":[32],"algorithm":[35],"in":[36,73,124,136],"this":[37],"paper.":[38],"First,":[39],"four-directional":[41],"detection":[42],"information":[45],"proposed":[47],"for":[48,56,71,86],"structure":[49,64,137],"measurement.":[50],"Second,":[51],"spatial":[53,68,83],"kernel":[54,69,84],"scale":[55],"each":[57],"pixel":[58],"obtained":[60],"based":[61],"information;":[65],"larger":[67],"pixels":[72,87],"textural":[74],"regions":[75],"enhance":[77],"smoothness,":[79],"smaller":[82],"structures":[89,131],"maintain":[91],"edges.":[93],"Finally,":[94],"adopt":[96],"Fourier":[98],"approximation":[99],"range":[101],"kernel,":[102],"reduces":[104],"computational":[105],"complexity":[106],"without":[107],"compromising":[108],"visual":[111,140],"quality.":[112,142],"By":[113],"subjective":[114],"and":[115,132,139],"objective":[116],"analysis,":[117],"our":[118],"method":[119],"outperforms":[120],"previous":[122],"methods":[123],"eliminating":[125],"preserving":[129],"main":[130],"also":[133],"has":[134],"advantages":[135],"similarity":[138],"perception":[141]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-08T15:41:06.802602","created_date":"2025-10-10T00:00:00"}