{"id":"https://openalex.org/W2163849015","doi":"https://doi.org/10.1109/tbme.2015.2453169","title":"Multi-GPU Accelerated Admittance Method for High-Resolution Human Exposure Evaluation","display_name":"Multi-GPU Accelerated Admittance Method for High-Resolution Human Exposure Evaluation","publication_year":2015,"publication_date":"2015-07-08","ids":{"openalex":"https://openalex.org/W2163849015","doi":"https://doi.org/10.1109/tbme.2015.2453169","mag":"2163849015","pmid":"https://pubmed.ncbi.nlm.nih.gov/26168429"},"language":"en","primary_location":{"id":"doi:10.1109/tbme.2015.2453169","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2015.2453169","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"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 Biomedical Engineering","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/A5111688737","display_name":"Zubiao Xiong","orcid":null},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zubiao Xiong","raw_affiliation_strings":["University of Houston"],"affiliations":[{"raw_affiliation_string":"University of Houston","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032045545","display_name":"Feng Shi","orcid":"https://orcid.org/0000-0001-8219-4408"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shi Feng","raw_affiliation_strings":["University of Houston"],"affiliations":[{"raw_affiliation_string":"University of Houston","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028280157","display_name":"Richard Kautz","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Richard Kautz","raw_affiliation_strings":["Ford Motor Company"],"affiliations":[{"raw_affiliation_string":"Ford Motor Company","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086272879","display_name":"Sandeep Chandra","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sandeep Chandra","raw_affiliation_strings":["Ford Motor Company"],"affiliations":[{"raw_affiliation_string":"Ford Motor Company","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080287441","display_name":"Nevin Altunyurt","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nevin Altunyurt","raw_affiliation_strings":["Ford Motor Company"],"affiliations":[{"raw_affiliation_string":"Ford Motor Company","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100731268","display_name":"Ji Chen","orcid":"https://orcid.org/0000-0001-6944-2729"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ji Chen","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Houston, Houston, TX, USA","Department of Electrical & Computer Engineering, University of Houston, Houston, TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Houston, Houston, TX, USA","institution_ids":["https://openalex.org/I44461941"]},{"raw_affiliation_string":"Department of Electrical & Computer Engineering, University of Houston, Houston, TX, USA","institution_ids":["https://openalex.org/I44461941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5111688737"],"corresponding_institution_ids":["https://openalex.org/I44461941"],"apc_list":null,"apc_paid":null,"fwci":0.7981,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.83944843,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"62","issue":"12","first_page":"2920","last_page":"2930"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10874","display_name":"Electromagnetic Fields and Biological Effects","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10874","display_name":"Electromagnetic Fields and Biological Effects","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11176","display_name":"Radiation Therapy and Dosimetry","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11932","display_name":"Wireless Body Area Networks","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/computer-science","display_name":"Computer science","score":0.7628368139266968},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.6950725317001343},{"id":"https://openalex.org/keywords/conjugate-gradient-method","display_name":"Conjugate gradient method","score":0.6828092336654663},{"id":"https://openalex.org/keywords/graphics-processing-unit","display_name":"Graphics processing unit","score":0.5973618030548096},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.5684471726417542},{"id":"https://openalex.org/keywords/cuda","display_name":"CUDA","score":0.556308925151825},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.550796627998352},{"id":"https://openalex.org/keywords/biconjugate-gradient-method","display_name":"Biconjugate gradient method","score":0.5371900796890259},{"id":"https://openalex.org/keywords/biconjugate-gradient-stabilized-method","display_name":"Biconjugate gradient stabilized method","score":0.5129687190055847},{"id":"https://openalex.org/keywords/xeon","display_name":"Xeon","score":0.5025601387023926},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.46524369716644287},{"id":"https://openalex.org/keywords/central-processing-unit","display_name":"Central processing unit","score":0.44207707047462463},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.4349140524864197},{"id":"https://openalex.org/keywords/discretization","display_name":"Discretization","score":0.42589062452316284},{"id":"https://openalex.org/keywords/linear-system","display_name":"Linear system","score":0.42219775915145874},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.346916526556015},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.15486577153205872},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1466401219367981},{"id":"https://openalex.org/keywords/conjugate-residual-method","display_name":"Conjugate residual method","score":0.11865165829658508},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09785810112953186},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.08820986747741699}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7628368139266968},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.6950725317001343},{"id":"https://openalex.org/C81184566","wikidata":"https://www.wikidata.org/wiki/Q1191895","display_name":"Conjugate gradient method","level":2,"score":0.6828092336654663},{"id":"https://openalex.org/C2779851693","wikidata":"https://www.wikidata.org/wiki/Q183484","display_name":"Graphics processing unit","level":2,"score":0.5973618030548096},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5684471726417542},{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.556308925151825},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.550796627998352},{"id":"https://openalex.org/C89408827","wikidata":"https://www.wikidata.org/wiki/Q855169","display_name":"Biconjugate gradient method","level":5,"score":0.5371900796890259},{"id":"https://openalex.org/C120553275","wikidata":"https://www.wikidata.org/wiki/Q4903720","display_name":"Biconjugate gradient stabilized method","level":3,"score":0.5129687190055847},{"id":"https://openalex.org/C145108525","wikidata":"https://www.wikidata.org/wiki/Q656154","display_name":"Xeon","level":2,"score":0.5025601387023926},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.46524369716644287},{"id":"https://openalex.org/C49154492","wikidata":"https://www.wikidata.org/wiki/Q5300","display_name":"Central processing unit","level":2,"score":0.44207707047462463},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.4349140524864197},{"id":"https://openalex.org/C73000952","wikidata":"https://www.wikidata.org/wiki/Q17007827","display_name":"Discretization","level":2,"score":0.42589062452316284},{"id":"https://openalex.org/C6802819","wikidata":"https://www.wikidata.org/wiki/Q1072174","display_name":"Linear system","level":2,"score":0.42219775915145874},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.346916526556015},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.15486577153205872},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1466401219367981},{"id":"https://openalex.org/C91394653","wikidata":"https://www.wikidata.org/wiki/Q5161159","display_name":"Conjugate residual method","level":4,"score":0.11865165829658508},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09785810112953186},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.08820986747741699},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"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/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003196","descriptor_name":"Computer Graphics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003196","descriptor_name":"Computer Graphics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003196","descriptor_name":"Computer Graphics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011874","descriptor_name":"Radiometry","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D011874","descriptor_name":"Radiometry","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D011874","descriptor_name":"Radiometry","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tbme.2015.2453169","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2015.2453169","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"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 Biomedical Engineering","raw_type":"journal-article"},{"id":"pmid:26168429","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26168429","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 bio-medical engineering","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320307103","display_name":"Ford Motor Company","ror":"https://ror.org/00g2tkw06"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1506342804","https://openalex.org/W1575701986","https://openalex.org/W1965366611","https://openalex.org/W1966313254","https://openalex.org/W1968304484","https://openalex.org/W1970197886","https://openalex.org/W1982129779","https://openalex.org/W1988839719","https://openalex.org/W2004844272","https://openalex.org/W2011537842","https://openalex.org/W2013491790","https://openalex.org/W2017126038","https://openalex.org/W2018962171","https://openalex.org/W2022981781","https://openalex.org/W2024113169","https://openalex.org/W2032753901","https://openalex.org/W2033132046","https://openalex.org/W2033546937","https://openalex.org/W2050351665","https://openalex.org/W2053742064","https://openalex.org/W2054247602","https://openalex.org/W2055913355","https://openalex.org/W2058871194","https://openalex.org/W2067420234","https://openalex.org/W2069472142","https://openalex.org/W2082184326","https://openalex.org/W2084265325","https://openalex.org/W2089677485","https://openalex.org/W2090270382","https://openalex.org/W2095116161","https://openalex.org/W2098951217","https://openalex.org/W2101285533","https://openalex.org/W2118017689","https://openalex.org/W2129623827","https://openalex.org/W2131532283","https://openalex.org/W2136944230","https://openalex.org/W2140541540","https://openalex.org/W2140796340","https://openalex.org/W2144458135","https://openalex.org/W2165220841","https://openalex.org/W2184779599","https://openalex.org/W2591757857","https://openalex.org/W2742163894","https://openalex.org/W2798909945","https://openalex.org/W4245167505","https://openalex.org/W4285719527","https://openalex.org/W4300666158","https://openalex.org/W4312258136","https://openalex.org/W6686264331","https://openalex.org/W6734083351"],"related_works":["https://openalex.org/W2069713958","https://openalex.org/W2109622333","https://openalex.org/W2500063501","https://openalex.org/W2093107138","https://openalex.org/W1986609007","https://openalex.org/W4250388018","https://openalex.org/W2073922269","https://openalex.org/W1561455131","https://openalex.org/W2545761113","https://openalex.org/W3120668846"],"abstract_inverted_index":{"The":[0],"high":[1,19],"efficiency":[2],"achieved":[3],"makes":[4],"it":[5],"practical":[6],"to":[7],"investigate":[8],"human":[9],"exposure":[10],"involving":[11],"a":[12,18],"large":[13],"number":[14],"of":[15,25],"cases":[16],"with":[17],"resolution":[20],"that":[21],"meets":[22],"the":[23],"requirements":[24],"international":[26],"dosimetry":[27],"guidelines.":[28]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}