{"id":"https://openalex.org/W4381795758","doi":"https://doi.org/10.3390/ijgi12070253","title":"Drainage Pattern Recognition of River Network Based on Graph Convolutional Neural Network","display_name":"Drainage Pattern Recognition of River Network Based on Graph Convolutional Neural Network","publication_year":2023,"publication_date":"2023-06-21","ids":{"openalex":"https://openalex.org/W4381795758","doi":"https://doi.org/10.3390/ijgi12070253"},"language":"en","primary_location":{"id":"doi:10.3390/ijgi12070253","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi12070253","pdf_url":"https://www.mdpi.com/2220-9964/12/7/253/pdf?version=1687680795","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2220-9964/12/7/253/pdf?version=1687680795","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102762178","display_name":"Xiaofeng Xu","orcid":"https://orcid.org/0000-0002-4738-8095"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]},{"id":"https://openalex.org/I4210099912","display_name":"Wuhan Science and Technology Bureau","ror":"https://ror.org/016s74507","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210099912"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofeng Xu","raw_affiliation_strings":["College of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, China","Wuhan Natural Resources and Planning Information Center, Wuhan 430014, China"],"raw_orcid":"https://orcid.org/0000-0002-4738-8095","affiliations":[{"raw_affiliation_string":"College of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, China","institution_ids":["https://openalex.org/I40963666"]},{"raw_affiliation_string":"Wuhan Natural Resources and Planning Information Center, Wuhan 430014, China","institution_ids":["https://openalex.org/I4210099912"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100449822","display_name":"Pengcheng Liu","orcid":"https://orcid.org/0000-0002-0874-1538"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Pengcheng Liu","raw_affiliation_strings":["College of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, China","Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province, Wuhan 430079, China"],"raw_orcid":"https://orcid.org/0000-0002-0874-1538","affiliations":[{"raw_affiliation_string":"College of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, China","institution_ids":["https://openalex.org/I40963666"]},{"raw_affiliation_string":"Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province, Wuhan 430079, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113657410","display_name":"Mingwu Guo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mingwu Guo","raw_affiliation_strings":["Wuhan Geomatics Institute, Wuhan 430022, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan Geomatics Institute, Wuhan 430022, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100449822"],"corresponding_institution_ids":["https://openalex.org/I40963666"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1893},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1893},"fwci":0.8747,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.66734508,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"12","issue":"7","first_page":"253","last_page":"253"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12543","display_name":"Groundwater and Watershed Analysis","score":0.989300012588501,"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"}},"topics":[{"id":"https://openalex.org/T12543","display_name":"Groundwater and Watershed Analysis","score":0.989300012588501,"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"}},{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9801999926567078,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T10330","display_name":"Hydrology and Watershed Management Studies","score":0.9787999987602234,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"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":0.6661303639411926},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4988133907318115},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4925409257411957},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4534866213798523},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4187382459640503},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4029490649700165},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.397553026676178},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.09195050597190857}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6661303639411926},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4988133907318115},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4925409257411957},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4534866213798523},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4187382459640503},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4029490649700165},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.397553026676178},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.09195050597190857}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/ijgi12070253","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi12070253","pdf_url":"https://www.mdpi.com/2220-9964/12/7/253/pdf?version=1687680795","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b9cfb46cbc194dce8b095910243b76a4","is_oa":true,"landing_page_url":"https://doaj.org/article/b9cfb46cbc194dce8b095910243b76a4","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISPRS International Journal of Geo-Information, Vol 12, Iss 7, p 253 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2220-9964/12/7/253/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/ijgi12070253","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISPRS International Journal of Geo-Information; Volume 12; Issue 7; Pages: 253","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/ijgi12070253","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi12070253","pdf_url":"https://www.mdpi.com/2220-9964/12/7/253/pdf?version=1687680795","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5099999904632568,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G1321773167","display_name":"\u57fa\u4e8e\u5085\u91cc\u53f6\u9891\u8c31\u7684\u5730\u56fe\u7efc\u5408\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"42071455","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4381795758.pdf"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W563927376","https://openalex.org/W1975551856","https://openalex.org/W1990436032","https://openalex.org/W1991699684","https://openalex.org/W1993284672","https://openalex.org/W1994020375","https://openalex.org/W2005719654","https://openalex.org/W2010568380","https://openalex.org/W2019657798","https://openalex.org/W2020114319","https://openalex.org/W2042263899","https://openalex.org/W2064972007","https://openalex.org/W2066134279","https://openalex.org/W2118643486","https://openalex.org/W2351085082","https://openalex.org/W2366445192","https://openalex.org/W2783649107","https://openalex.org/W2803946774","https://openalex.org/W2920509021","https://openalex.org/W2920964209","https://openalex.org/W2948919246","https://openalex.org/W3005074486","https://openalex.org/W3046749501","https://openalex.org/W3134002703","https://openalex.org/W3135126037","https://openalex.org/W4210598167","https://openalex.org/W4298031994","https://openalex.org/W6651456426","https://openalex.org/W6748044353","https://openalex.org/W6807473743"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W2090763504","https://openalex.org/W148178222","https://openalex.org/W2104657898","https://openalex.org/W1948992892","https://openalex.org/W1886884218","https://openalex.org/W1910826599","https://openalex.org/W2012353789","https://openalex.org/W2530420969","https://openalex.org/W2051187167"],"abstract_inverted_index":{"Drainage":[0],"network":[1,56,80,98,166],"pattern":[2,57,81],"recognition":[3,58,82],"is":[4,155],"a":[5,47,78,106],"significant":[6],"task":[7],"with":[8],"wide":[9],"applications":[10,193],"in":[11,28,194],"geographic":[12,35],"information":[13],"mining,":[14],"map":[15,38],"cartography,":[16],"water":[17,42],"resources":[18],"management,":[19],"and":[20,45,66,114,124,146,171,192],"urban":[21,51],"planning.":[22,53],"Accurate":[23],"identification":[24],"of":[25,68,95,151,163],"spatial":[26,145],"patterns":[27],"river":[29,55,69,79,97,112,128,165,185],"networks":[30,88],"can":[31,181],"help":[32],"us":[33],"understand":[34],"phenomena,":[36],"optimize":[37],"cartographic":[39],"quality,":[40],"assess":[41],"resource":[43],"potential,":[44],"provide":[46],"scientific":[48],"basis":[49],"for":[50,136,190],"development":[52],"However,":[54],"still":[59],"faces":[60],"challenges":[61],"due":[62],"to":[63,91,104],"the":[64,117,122,137,152,178],"complexity":[65],"diversity":[67],"networks.":[70],"To":[71],"address":[72],"this":[73,75,132],"issue,":[74],"study":[76],"proposes":[77],"method":[83,154,180],"based":[84,110],"on":[85,111,131,160],"graph":[86,138],"convolutional":[87,139],"(GCNs),":[89],"aiming":[90],"achieve":[92],"accurate":[93],"classification":[94,158],"different":[96],"patterns.":[99],"We":[100],"utilize":[101],"binary":[102],"trees":[103],"construct":[105],"hierarchical":[107],"tree":[108,118],"structure":[109],"reaches":[113],"progressively":[115],"determine":[116],"hierarchy":[119],"by":[120],"identifying":[121],"upstream":[123],"downstream":[125],"relationships":[126],"among":[127],"reaches.":[129],"Based":[130],"representation,":[133],"input":[134],"features":[135],"model":[140],"are":[141],"extracted":[142],"from":[143],"both":[144],"geometric":[147],"perspectives.":[148],"The":[149,173],"effectiveness":[150],"proposed":[153,179],"validated":[156],"through":[157],"experiments":[159],"four":[161],"types":[162],"vector":[164,184],"data":[167],"(dendritic,":[168],"fan-shaped,":[169],"trellis,":[170],"fan-shaped).":[172],"experimental":[174],"results":[175],"demonstrate":[176],"that":[177],"effectively":[182],"classify":[183],"networks,":[186],"providing":[187],"strong":[188],"support":[189],"research":[191],"related":[195],"fields.":[196]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2023-06-24T00:00:00"}
