{"id":"https://openalex.org/W2791139618","doi":"https://doi.org/10.1109/tvcg.2018.2796555","title":"Efficient Local Statistical Analysis via Point-Wise Histograms in Tetrahedral Meshes and Curvilinear Grids","display_name":"Efficient Local Statistical Analysis via Point-Wise Histograms in Tetrahedral Meshes and Curvilinear Grids","publication_year":2018,"publication_date":"2018-01-23","ids":{"openalex":"https://openalex.org/W2791139618","doi":"https://doi.org/10.1109/tvcg.2018.2796555","mag":"2791139618","pmid":"https://pubmed.ncbi.nlm.nih.gov/29994603"},"language":"en","primary_location":{"id":"doi:10.1109/tvcg.2018.2796555","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2018.2796555","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/A5049887684","display_name":"Bo Zhou","orcid":"https://orcid.org/0000-0001-7321-9554"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bo Zhou","raw_affiliation_strings":["CSE Department, New York University, Brooklyn, NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CSE Department, New York University, Brooklyn, NY","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070100758","display_name":"Yi\u2010Jen Chiang","orcid":"https://orcid.org/0000-0001-7822-6200"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yi-Jen Chiang","raw_affiliation_strings":["CSE Department, New York University, Brooklyn, NY"],"raw_orcid":"https://orcid.org/0000-0001-7822-6200","affiliations":[{"raw_affiliation_string":"CSE Department, New York University, Brooklyn, NY","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100390494","display_name":"Cong Wang","orcid":"https://orcid.org/0000-0002-6068-0103"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cong Wang","raw_affiliation_strings":["CSE Department, New York University, Brooklyn, NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CSE Department, New York University, Brooklyn, NY","institution_ids":["https://openalex.org/I57206974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I57206974"],"apc_list":null,"apc_paid":null,"fwci":0.2081,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.52320846,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"25","issue":"2","first_page":"1392","last_page":"1406"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.998199999332428,"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":0.998199999332428,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T11106","display_name":"Data Management and Algorithms","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/curvilinear-coordinates","display_name":"Curvilinear coordinates","score":0.7728500962257385},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.7602143287658691},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7133510708808899},{"id":"https://openalex.org/keywords/polygon-mesh","display_name":"Polygon mesh","score":0.6575134992599487},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5987368226051331},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48845091462135315},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.44981175661087036},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.42654529213905334},{"id":"https://openalex.org/keywords/tetrahedron","display_name":"Tetrahedron","score":0.4146726727485657},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4131057858467102},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.35379528999328613},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3330240845680237},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2401515543460846},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19598674774169922},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19528770446777344},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.19196754693984985},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.1018446683883667}],"concepts":[{"id":"https://openalex.org/C98343798","wikidata":"https://www.wikidata.org/wiki/Q1790208","display_name":"Curvilinear coordinates","level":2,"score":0.7728500962257385},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.7602143287658691},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7133510708808899},{"id":"https://openalex.org/C31487907","wikidata":"https://www.wikidata.org/wiki/Q1154597","display_name":"Polygon mesh","level":2,"score":0.6575134992599487},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5987368226051331},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48845091462135315},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.44981175661087036},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.42654529213905334},{"id":"https://openalex.org/C105239961","wikidata":"https://www.wikidata.org/wiki/Q160003","display_name":"Tetrahedron","level":2,"score":0.4146726727485657},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4131057858467102},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.35379528999328613},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3330240845680237},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2401515543460846},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19598674774169922},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19528770446777344},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.19196754693984985},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.1018446683883667},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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":2,"locations":[{"id":"doi:10.1109/tvcg.2018.2796555","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2018.2796555","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:29994603","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29994603","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":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W581329602","https://openalex.org/W615440381","https://openalex.org/W1496383623","https://openalex.org/W1566368032","https://openalex.org/W1582174515","https://openalex.org/W1945903737","https://openalex.org/W1963651084","https://openalex.org/W1975230801","https://openalex.org/W1982152100","https://openalex.org/W1995224664","https://openalex.org/W1995875735","https://openalex.org/W2011316786","https://openalex.org/W2013343575","https://openalex.org/W2017148193","https://openalex.org/W2028787683","https://openalex.org/W2029178212","https://openalex.org/W2029681577","https://openalex.org/W2047828610","https://openalex.org/W2067004114","https://openalex.org/W2080599877","https://openalex.org/W2086543656","https://openalex.org/W2099031459","https://openalex.org/W2101875746","https://openalex.org/W2109845109","https://openalex.org/W2109968850","https://openalex.org/W2113270839","https://openalex.org/W2113681917","https://openalex.org/W2115213191","https://openalex.org/W2119690161","https://openalex.org/W2122373806","https://openalex.org/W2128769229","https://openalex.org/W2129171618","https://openalex.org/W2132777634","https://openalex.org/W2136365714","https://openalex.org/W2137197875","https://openalex.org/W2138953494","https://openalex.org/W2139892394","https://openalex.org/W2140509583","https://openalex.org/W2145455679","https://openalex.org/W2146417834","https://openalex.org/W2148899142","https://openalex.org/W2152518342","https://openalex.org/W2153504150","https://openalex.org/W2158176896","https://openalex.org/W2166928043","https://openalex.org/W2293090538","https://openalex.org/W2486762503","https://openalex.org/W2544794140","https://openalex.org/W2758539423","https://openalex.org/W3040586665","https://openalex.org/W3130894512","https://openalex.org/W4248980853","https://openalex.org/W4254917634","https://openalex.org/W6633889266","https://openalex.org/W6640333540","https://openalex.org/W6653311303","https://openalex.org/W6676496454","https://openalex.org/W6678755304","https://openalex.org/W6680582966","https://openalex.org/W6680643528","https://openalex.org/W6728811798","https://openalex.org/W6965011585"],"related_works":["https://openalex.org/W1639593894","https://openalex.org/W63200814","https://openalex.org/W2367601375","https://openalex.org/W2371750680","https://openalex.org/W2360227361","https://openalex.org/W1999171692","https://openalex.org/W1600077717","https://openalex.org/W1133267572","https://openalex.org/W2403317455","https://openalex.org/W3035933954"],"abstract_inverted_index":{"Local":[0],"histograms":[1,4,27,48],"(i.e.,":[2],"point-wise":[3],"computed":[5],"from":[6],"local":[7,26,47],"regions":[8],"of":[9,106],"mesh":[10],"vertices)":[11],"have":[12],"been":[13],"used":[14],"in":[15,49,67],"many":[16],"data":[17],"analysis":[18],"and":[19,42,52,60,62,65,97],"visualization":[20],"applications.":[21],"Previous":[22],"methods":[23,92],"for":[24,30,45,81],"computing":[25,46],"mainly":[28],"work":[29,63,80],"regular":[31],"or":[32],"rectilinear":[33],"grids":[34],"only.":[35],"In":[36],"this":[37],"paper,":[38],"we":[39],"develop":[40],"theory":[41],"novel":[43],"algorithms":[44,56,78],"tetrahedral":[50,116],"meshes":[51],"curvilinear":[53],"grids.":[54],"Our":[55,69,91],"are":[57],"theoretically":[58],"sound":[59],"efficient,":[61],"effectively":[64],"fast":[66],"practice.":[68],"main":[70],"focus":[71],"is":[72],"on":[73,115],"scalar":[74],"fields,":[75],"but":[76],"the":[77,104],"also":[79],"vector":[82,117],"fields":[83],"as":[84],"a":[85,111],"by-product":[86],"with":[87],"small,":[88],"easy":[89],"modifications.":[90],"can":[93],"benefit":[94],"information":[95],"theoretic":[96],"other":[98],"distribution-driven":[99],"analysis.":[100],"The":[101],"experiments":[102],"demonstrate":[103],"efficacy":[105],"our":[107],"new":[108],"techniques,":[109],"including":[110],"utility":[112],"case":[113],"study":[114],"field":[118],"visualization.":[119]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
