{"id":"https://openalex.org/W4306830987","doi":"https://doi.org/10.1109/tvcg.2022.3209459","title":"Dual Space Coupling Model Guided Overlap-Free Scatterplot","display_name":"Dual Space Coupling Model Guided Overlap-Free Scatterplot","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4306830987","doi":"https://doi.org/10.1109/tvcg.2022.3209459","pmid":"https://pubmed.ncbi.nlm.nih.gov/36260569"},"language":"en","primary_location":{"id":"doi:10.1109/tvcg.2022.3209459","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2022.3209459","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100455066","display_name":"Zeyu Li","orcid":"https://orcid.org/0000-0002-3379-8456"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zeyu Li","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, China"],"affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044360639","display_name":"Ruizhi Shi","orcid":"https://orcid.org/0000-0002-4234-8502"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruizhi Shi","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, China"],"affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100351175","display_name":"Yan Liu","orcid":"https://orcid.org/0000-0003-4242-4840"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Liu","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, China"],"affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085286384","display_name":"Shizhuo Long","orcid":null},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shizhuo Long","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, China"],"affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102981924","display_name":"Ziheng Guo","orcid":"https://orcid.org/0000-0002-2879-0214"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziheng Guo","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, China"],"affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033746662","display_name":"Shichao Jia","orcid":"https://orcid.org/0000-0001-6876-9180"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shichao Jia","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, China"],"affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086311840","display_name":"Jiawan Zhang","orcid":"https://orcid.org/0000-0002-0667-6744"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiawan Zhang","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, China"],"affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, China","institution_ids":["https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100455066"],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":null,"apc_paid":null,"fwci":0.7046,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.70511936,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"29","issue":"1","first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9980999827384949,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9980999827384949,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.988099992275238,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.9876000285148621,"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/computer-science","display_name":"Computer science","score":0.7258346080780029},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5353847742080688},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5101907253265381},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.49879884719848633},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4654591381549835},{"id":"https://openalex.org/keywords/space-partitioning","display_name":"Space partitioning","score":0.4537017047405243},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4464977979660034},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.41004300117492676},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3888625502586365},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32943281531333923},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32394251227378845},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.214725524187088}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7258346080780029},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5353847742080688},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5101907253265381},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.49879884719848633},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4654591381549835},{"id":"https://openalex.org/C13670688","wikidata":"https://www.wikidata.org/wiki/Q3500548","display_name":"Space partitioning","level":2,"score":0.4537017047405243},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4464977979660034},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.41004300117492676},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3888625502586365},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32943281531333923},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32394251227378845},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.214725524187088},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tvcg.2022.3209459","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2022.3209459","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics","raw_type":"journal-article"},{"id":"pmid:36260569","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36260569","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":"IEEE transactions on visualization and computer graphics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.800000011920929,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W1513214262","https://openalex.org/W1516293359","https://openalex.org/W1517993046","https://openalex.org/W1584926591","https://openalex.org/W1597907781","https://openalex.org/W1970791356","https://openalex.org/W1974767305","https://openalex.org/W1988363436","https://openalex.org/W1997952588","https://openalex.org/W2017521531","https://openalex.org/W2020457555","https://openalex.org/W2021317246","https://openalex.org/W2023283825","https://openalex.org/W2026377765","https://openalex.org/W2027714334","https://openalex.org/W2028377123","https://openalex.org/W2031908202","https://openalex.org/W2037894060","https://openalex.org/W2056273964","https://openalex.org/W2073023155","https://openalex.org/W2092272787","https://openalex.org/W2098329200","https://openalex.org/W2099095311","https://openalex.org/W2138488235","https://openalex.org/W2148413148","https://openalex.org/W2152621157","https://openalex.org/W2163965546","https://openalex.org/W2468849742","https://openalex.org/W2474068310","https://openalex.org/W2509053658","https://openalex.org/W2580703541","https://openalex.org/W2590401502","https://openalex.org/W2751722336","https://openalex.org/W2752662042","https://openalex.org/W2886623958","https://openalex.org/W2895305212","https://openalex.org/W2896679662","https://openalex.org/W2914653781","https://openalex.org/W2956470231","https://openalex.org/W2958488638","https://openalex.org/W2969221854","https://openalex.org/W2969631174","https://openalex.org/W2972458663","https://openalex.org/W3005984470","https://openalex.org/W3036761428","https://openalex.org/W3091998753","https://openalex.org/W3092806605","https://openalex.org/W3158480851","https://openalex.org/W3204753948","https://openalex.org/W3217171064","https://openalex.org/W4214970439","https://openalex.org/W4238043532","https://openalex.org/W4243831978","https://openalex.org/W6635079931","https://openalex.org/W6754091787","https://openalex.org/W6755121157","https://openalex.org/W6755993446","https://openalex.org/W6795038872"],"related_works":["https://openalex.org/W1980381208","https://openalex.org/W2364594919","https://openalex.org/W2068608913","https://openalex.org/W2219338811","https://openalex.org/W2167092671","https://openalex.org/W1861706286","https://openalex.org/W2149583853","https://openalex.org/W2620334251","https://openalex.org/W2065962751","https://openalex.org/W2206548016"],"abstract_inverted_index":{"The":[0],"overdraw":[1,191],"problem":[2],"of":[3,93,104,193,200],"scatterplots":[4],"seriously":[5],"interferes":[6],"with":[7,59,179],"the":[8,26,31,36,42,48,77,91,94,105,149,155,160,180,197],"visual":[9,22,44,85,128],"tasks.":[10],"Existing":[11],"methods,":[12],"such":[13],"as":[14],"data":[15,32,39,50,63,82,109,162],"sampling,":[16],"node":[17],"dispersion,":[18],"subspace":[19],"mapping,":[20],"and":[21,28,41,61,84,88,132,144,159,166,190],"abstraction,":[23],"cannot":[24],"guarantee":[25],"correspondence":[27],"consistency":[29,153],"between":[30,81,148,154],"points":[33],"that":[34,46],"reflect":[35],"intrinsic":[37],"original":[38,161],"distribution":[40,163],"corresponding":[43],"units":[45],"reveal":[47],"presented":[49],"distribution,":[51],"thus":[52],"failing":[53],"to":[54,75],"obtain":[55],"an":[56,96,114,125],"overlap-free":[57,97,126],"scatterplot":[58,98,158],"unbiased":[60],"lossless":[62],"distribution.":[64],"A":[65],"dual":[66],"space":[67,83,86],"coupling":[68],"model":[69,131],"is":[70,100],"proposed":[71],"in":[72],"this":[73],"paper":[74],"represent":[76],"complex":[78],"bilateral":[79],"relationship":[80],"theoretically":[87],"analytically.":[89],"Under":[90],"guidance":[92],"model,":[95],"method":[99,140],"developed":[101],"through":[102],"integration":[103],"following:":[106],"a":[107,133],"geometry-based":[108],"transformation":[110,121],"algorithm,":[111,122],"namely":[112,123,137],"DistributionTranscriptor;":[113],"efficient":[115],"spatial":[116],"mutual":[117],"exclusion":[118],"guided":[119],"view":[120],"PolarPacking;":[124],"oriented":[127],"encoding":[129],"configuration":[130],"radius":[134],"adjustment":[135],"tool,":[136],"f<sub>r<sub>draw</sub></sub>.":[138],"Our":[139],"can":[141],"ensure":[142],"complete":[143],"accurate":[145],"information":[146],"transfer":[147],"two":[150],"spaces,":[151],"maintaining":[152],"newly":[156],"created":[157],"on":[164,175],"global":[165],"local":[167],"features.":[168],"Quantitative":[169],"evaluation":[170],"proves":[171],"our":[172,201],"remarkable":[173],"progress":[174],"computational":[176],"efficiency":[177],"compared":[178],"state-of-the-art":[181],"methods.":[182],"Three":[183],"applications":[184],"involving":[185],"pattern":[186],"enhancement,":[187],"interaction":[188],"improvement,":[189],"mitigation":[192],"trajectory":[194],"visualization":[195],"demonstrate":[196],"broad":[198],"prospects":[199],"method.":[202]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
