{"id":"https://openalex.org/W4386414649","doi":"https://doi.org/10.1007/s10586-023-04115-6","title":"A survey on machine and deep learning in semiconductor industry: methods, opportunities, and challenges","display_name":"A survey on machine and deep learning in semiconductor industry: methods, opportunities, and challenges","publication_year":2023,"publication_date":"2023-09-04","ids":{"openalex":"https://openalex.org/W4386414649","doi":"https://doi.org/10.1007/s10586-023-04115-6"},"language":"en","primary_location":{"id":"doi:10.1007/s10586-023-04115-6","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10586-023-04115-6","pdf_url":null,"source":{"id":"https://openalex.org/S106148199","display_name":"Cluster Computing","issn_l":"1386-7857","issn":["1386-7857","1573-7543"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cluster Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"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/A5102008415","display_name":"An Huang","orcid":"https://orcid.org/0000-0003-2565-0491"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"An Chi Huang","raw_affiliation_strings":["Department of Computer Science, Tsinghua University, Beijing, China","Department of Computer Science, Tsinghua University, Haidian District, Beijing, 100190, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Computer Science, Tsinghua University, Haidian District, Beijing, 100190, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058874500","display_name":"Sheng Hui Meng","orcid":"https://orcid.org/0000-0001-5632-9890"},"institutions":[{"id":"https://openalex.org/I4210108113","display_name":"Yango University","ror":"https://ror.org/01eqh1863","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210108113"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng Hui Meng","raw_affiliation_strings":["Artificial Intelligence College, Yango University, Mawei District, Fuzhou, 350015, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Artificial Intelligence College, Yango University, Mawei District, Fuzhou, 350015, China","institution_ids":["https://openalex.org/I4210108113"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035819264","display_name":"Tian Jiun Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I192168892","display_name":"National University of Kaohsiung","ror":"https://ror.org/013zjb662","country_code":"TW","type":"education","lineage":["https://openalex.org/I192168892"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Tian Jiun Huang","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Kaohsiung University, Kaohsiung, Taiwan","Department of Computer Science and Information Engineering, National Kaohsiung University, Nanzih District, Kaohsiung, 81154, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Kaohsiung University, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I192168892"]},{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Kaohsiung University, Nanzih District, Kaohsiung, 81154, Taiwan","institution_ids":["https://openalex.org/I192168892"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5035819264","https://openalex.org/A5102008415"],"corresponding_institution_ids":["https://openalex.org/I192168892","https://openalex.org/I99065089"],"apc_list":{"value":2790,"currency":"USD","value_usd":2790},"apc_paid":null,"fwci":5.663,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.96220766,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"26","issue":"6","first_page":"3437","last_page":"3472"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T14117","display_name":"Integrated Circuits and Semiconductor Failure Analysis","score":0.9843999743461609,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10036","display_name":"Advanced Neural Network Applications","score":0.9807000160217285,"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/computer-science","display_name":"Computer science","score":0.7837289571762085},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6544089317321777},{"id":"https://openalex.org/keywords/strengths-and-weaknesses","display_name":"Strengths and weaknesses","score":0.5490890741348267},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5048401951789856},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5044535398483276},{"id":"https://openalex.org/keywords/electronics","display_name":"Electronics","score":0.49335065484046936},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.48815447092056274},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.45793959498405457},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4459093511104584},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.43928101658821106},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.42761823534965515},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.18382331728935242}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7837289571762085},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6544089317321777},{"id":"https://openalex.org/C63882131","wikidata":"https://www.wikidata.org/wiki/Q17122954","display_name":"Strengths and weaknesses","level":2,"score":0.5490890741348267},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5048401951789856},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5044535398483276},{"id":"https://openalex.org/C138331895","wikidata":"https://www.wikidata.org/wiki/Q11650","display_name":"Electronics","level":2,"score":0.49335065484046936},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.48815447092056274},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.45793959498405457},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4459093511104584},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.43928101658821106},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.42761823534965515},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.18382331728935242},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C147789679","wikidata":"https://www.wikidata.org/wiki/Q11372","display_name":"Physical chemistry","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},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10586-023-04115-6","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10586-023-04115-6","pdf_url":null,"source":{"id":"https://openalex.org/S106148199","display_name":"Cluster Computing","issn_l":"1386-7857","issn":["1386-7857","1573-7543"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cluster Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G4213465990","display_name":null,"funder_award_id":"2022YFB4701400/4701402","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":189,"referenced_works":["https://openalex.org/W1566896104","https://openalex.org/W1616262590","https://openalex.org/W1861492603","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1985756133","https://openalex.org/W2007339694","https://openalex.org/W2008056655","https://openalex.org/W2016689756","https://openalex.org/W2020286945","https://openalex.org/W2026249211","https://openalex.org/W2032780809","https://openalex.org/W2038017074","https://openalex.org/W2044897192","https://openalex.org/W2057596653","https://openalex.org/W2070415427","https://openalex.org/W2084657641","https://openalex.org/W2084692983","https://openalex.org/W2096943734","https://openalex.org/W2097117768","https://openalex.org/W2104933073","https://openalex.org/W2108598243","https://openalex.org/W2114733835","https://openalex.org/W2115403315","https://openalex.org/W2122111042","https://openalex.org/W2132428767","https://openalex.org/W2135479611","https://openalex.org/W2149466042","https://openalex.org/W2155148197","https://openalex.org/W2168508521","https://openalex.org/W2194775991","https://openalex.org/W2286515324","https://openalex.org/W2315088330","https://openalex.org/W2418691539","https://openalex.org/W2470754583","https://openalex.org/W2524302570","https://openalex.org/W2533275277","https://openalex.org/W2553245249","https://openalex.org/W2593414223","https://openalex.org/W2593620985","https://openalex.org/W2594332903","https://openalex.org/W2595311085","https://openalex.org/W2595507424","https://openalex.org/W2606884892","https://openalex.org/W2618530766","https://openalex.org/W2620931432","https://openalex.org/W2740991716","https://openalex.org/W2749684264","https://openalex.org/W2753935149","https://openalex.org/W2770908349","https://openalex.org/W2771485790","https://openalex.org/W2773549135","https://openalex.org/W2779937602","https://openalex.org/W2781476508","https://openalex.org/W2790607928","https://openalex.org/W2790955120","https://openalex.org/W2792743924","https://openalex.org/W2792944472","https://openalex.org/W2798589477","https://openalex.org/W2802445786","https://openalex.org/W2805484002","https://openalex.org/W2808193780","https://openalex.org/W2811113727","https://openalex.org/W2849899115","https://openalex.org/W2862388901","https://openalex.org/W2888173334","https://openalex.org/W2888199501","https://openalex.org/W2890887208","https://openalex.org/W2895340641","https://openalex.org/W2898375427","https://openalex.org/W2902448828","https://openalex.org/W2903141337","https://openalex.org/W2905203854","https://openalex.org/W2911065142","https://openalex.org/W2911964244","https://openalex.org/W2920311927","https://openalex.org/W2922187519","https://openalex.org/W2923046683","https://openalex.org/W2923486253","https://openalex.org/W2940617832","https://openalex.org/W2942685721","https://openalex.org/W2943898222","https://openalex.org/W2946443981","https://openalex.org/W2947899480","https://openalex.org/W2950694741","https://openalex.org/W2951886064","https://openalex.org/W2963073614","https://openalex.org/W2963091558","https://openalex.org/W2963149653","https://openalex.org/W2963168418","https://openalex.org/W2963182550","https://openalex.org/W2963693396","https://openalex.org/W2963698633","https://openalex.org/W2963727650","https://openalex.org/W2964154860","https://openalex.org/W2964288524","https://openalex.org/W2964727794","https://openalex.org/W2969852914","https://openalex.org/W2970409000","https://openalex.org/W2972179887","https://openalex.org/W2972838948","https://openalex.org/W2981689412","https://openalex.org/W2982220924","https://openalex.org/W2985132266","https://openalex.org/W2985459778","https://openalex.org/W2991501395","https://openalex.org/W2993235622","https://openalex.org/W2997583607","https://openalex.org/W3000953789","https://openalex.org/W3003237572","https://openalex.org/W3005244013","https://openalex.org/W3006089892","https://openalex.org/W3006418295","https://openalex.org/W3008902695","https://openalex.org/W3014336501","https://openalex.org/W3015938507","https://openalex.org/W3017220377","https://openalex.org/W3017264588","https://openalex.org/W3024903722","https://openalex.org/W3027221375","https://openalex.org/W3028728229","https://openalex.org/W3036154480","https://openalex.org/W3037251373","https://openalex.org/W3038560814","https://openalex.org/W3039229032","https://openalex.org/W3044426120","https://openalex.org/W3046193700","https://openalex.org/W3046371026","https://openalex.org/W3048213795","https://openalex.org/W3082906739","https://openalex.org/W3089513243","https://openalex.org/W3090714282","https://openalex.org/W3092347826","https://openalex.org/W3096831136","https://openalex.org/W3101748915","https://openalex.org/W3102431071","https://openalex.org/W3103174683","https://openalex.org/W3104156061","https://openalex.org/W3107634219","https://openalex.org/W3111232172","https://openalex.org/W3111269108","https://openalex.org/W3112142387","https://openalex.org/W3117626375","https://openalex.org/W3120046627","https://openalex.org/W3120740533","https://openalex.org/W3124804470","https://openalex.org/W3126720116","https://openalex.org/W3126982796","https://openalex.org/W3132853032","https://openalex.org/W3133468499","https://openalex.org/W3152778060","https://openalex.org/W3164933691","https://openalex.org/W3168157593","https://openalex.org/W3171341913","https://openalex.org/W3171640879","https://openalex.org/W3173262613","https://openalex.org/W3174630792","https://openalex.org/W3181036294","https://openalex.org/W3188352706","https://openalex.org/W3193736071","https://openalex.org/W3197290064","https://openalex.org/W3207056758","https://openalex.org/W3207703347","https://openalex.org/W3212904554","https://openalex.org/W4205140486","https://openalex.org/W4205279672","https://openalex.org/W4205418041","https://openalex.org/W4205765055","https://openalex.org/W4205817831","https://openalex.org/W4206271954","https://openalex.org/W4211049957","https://openalex.org/W4223475101","https://openalex.org/W4224291581","https://openalex.org/W4226158511","https://openalex.org/W4226529970","https://openalex.org/W4231203981","https://openalex.org/W4254520270","https://openalex.org/W4256559936","https://openalex.org/W4282824065","https://openalex.org/W4282842864","https://openalex.org/W4283731053","https://openalex.org/W4283754682","https://openalex.org/W4285180331","https://openalex.org/W4285210261","https://openalex.org/W4285253469","https://openalex.org/W4287888680","https://openalex.org/W4289792391","https://openalex.org/W4319431289","https://openalex.org/W6600036705"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4295769391","https://openalex.org/W4247566972","https://openalex.org/W4394895745","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2972220648","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W2910064364"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":13},{"year":2025,"cited_by_count":20},{"year":2024,"cited_by_count":7}],"updated_date":"2026-08-30T07:30:35.949966","created_date":"2025-10-10T00:00:00"}