{"id":"https://openalex.org/W4297023589","doi":"https://doi.org/10.1007/s10489-022-04137-4","title":"ERCP: speedup path planning through clustering and presearching","display_name":"ERCP: speedup path planning through clustering and presearching","publication_year":2022,"publication_date":"2022-09-24","ids":{"openalex":"https://openalex.org/W4297023589","doi":"https://doi.org/10.1007/s10489-022-04137-4"},"language":"en","primary_location":{"id":"doi:10.1007/s10489-022-04137-4","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-022-04137-4","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"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":"Applied Intelligence","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/A5011997130","display_name":"Kun He","orcid":"https://orcid.org/0000-0002-7889-2972"},"institutions":[{"id":"https://openalex.org/I165745306","display_name":"Southwest Petroleum University","ror":"https://ror.org/03h17x602","country_code":"CN","type":"education","lineage":["https://openalex.org/I165745306"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kun He","raw_affiliation_strings":["School of Computer Science, Southwest Petroleum University, Chengdu, 610500, People\u2019s Republic of China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Southwest Petroleum University, Chengdu, 610500, People\u2019s Republic of China","institution_ids":["https://openalex.org/I165745306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102751281","display_name":"Xinzheng Niu","orcid":"https://orcid.org/0000-0003-3455-2084"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin-Zheng Niu","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 610500, People\u2019s Republic of China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 610500, People\u2019s Republic of China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043558491","display_name":"Xue-Yang Min","orcid":null},"institutions":[{"id":"https://openalex.org/I165745306","display_name":"Southwest Petroleum University","ror":"https://ror.org/03h17x602","country_code":"CN","type":"education","lineage":["https://openalex.org/I165745306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xue-Yang Min","raw_affiliation_strings":["School of Sciences, Southwest Petroleum University, Chengdu, 610500, People\u2019s Republic of China"],"affiliations":[{"raw_affiliation_string":"School of Sciences, Southwest Petroleum University, Chengdu, 610500, People\u2019s Republic of China","institution_ids":["https://openalex.org/I165745306"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100740354","display_name":"Fan Min","orcid":"https://orcid.org/0000-0002-3290-1036"},"institutions":[{"id":"https://openalex.org/I165745306","display_name":"Southwest Petroleum University","ror":"https://ror.org/03h17x602","country_code":"CN","type":"education","lineage":["https://openalex.org/I165745306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Min","raw_affiliation_strings":["School of Computer Science, Southwest Petroleum University, Chengdu, 610500, People\u2019s Republic of China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Southwest Petroleum University, Chengdu, 610500, People\u2019s Republic of China","institution_ids":["https://openalex.org/I165745306"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5011997130"],"corresponding_institution_ids":["https://openalex.org/I165745306"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":0.4077,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.60043628,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"53","issue":"10","first_page":"12324","last_page":"12339"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":1.0,"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/T10586","display_name":"Robotic Path Planning Algorithms","score":1.0,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9916999936103821,"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":0.8086062073707581},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.751920223236084},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.6412541270256042},{"id":"https://openalex.org/keywords/dijkstras-algorithm","display_name":"Dijkstra's algorithm","score":0.5493506789207458},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.5214792490005493},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.4939780831336975},{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.4759540259838104},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4633515477180481},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.46196478605270386},{"id":"https://openalex.org/keywords/shortest-path-problem","display_name":"Shortest path problem","score":0.44351285696029663},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43426376581192017},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4142671823501587},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.2841787338256836},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1714443862438202},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.16694778203964233},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13732627034187317}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8086062073707581},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.751920223236084},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.6412541270256042},{"id":"https://openalex.org/C173870130","wikidata":"https://www.wikidata.org/wiki/Q8548","display_name":"Dijkstra's algorithm","level":4,"score":0.5493506789207458},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.5214792490005493},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.4939780831336975},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.4759540259838104},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4633515477180481},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.46196478605270386},{"id":"https://openalex.org/C22590252","wikidata":"https://www.wikidata.org/wiki/Q1058754","display_name":"Shortest path problem","level":3,"score":0.44351285696029663},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43426376581192017},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4142671823501587},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.2841787338256836},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1714443862438202},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.16694778203964233},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13732627034187317},{"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10489-022-04137-4","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-022-04137-4","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"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":"Applied Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.7900000214576721}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1560270123","https://openalex.org/W1969483458","https://openalex.org/W1971086298","https://openalex.org/W1976930960","https://openalex.org/W2099144379","https://openalex.org/W2101926813","https://openalex.org/W2128990851","https://openalex.org/W2156969101","https://openalex.org/W2177274602","https://openalex.org/W2211552581","https://openalex.org/W2618658041","https://openalex.org/W2765140685","https://openalex.org/W2794029453","https://openalex.org/W2796419292","https://openalex.org/W2909688514","https://openalex.org/W2919063961","https://openalex.org/W2939018330","https://openalex.org/W2963516936","https://openalex.org/W3011646207","https://openalex.org/W3016164434","https://openalex.org/W3034726893","https://openalex.org/W3093374227","https://openalex.org/W3102121895","https://openalex.org/W3114748666","https://openalex.org/W3211817439","https://openalex.org/W4212795265","https://openalex.org/W4220752092","https://openalex.org/W4283747681"],"related_works":["https://openalex.org/W2970026594","https://openalex.org/W2092305811","https://openalex.org/W2008125884","https://openalex.org/W3209141040","https://openalex.org/W3200627243","https://openalex.org/W2365028404","https://openalex.org/W2377984516","https://openalex.org/W4372292090","https://openalex.org/W2766248382","https://openalex.org/W2362163830"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
