{"id":"https://openalex.org/W7161775390","doi":"https://doi.org/10.1007/978-981-95-7141-3_30","title":"Optimized Feature Extraction and\u00a0Alignment for\u00a0Cross-Modal Molecule Retrieval","display_name":"Optimized Feature Extraction and\u00a0Alignment for\u00a0Cross-Modal Molecule Retrieval","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7161775390","doi":"https://doi.org/10.1007/978-981-95-7141-3_30"},"language":"en","primary_location":{"id":"doi:10.1007/978-981-95-7141-3_30","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-981-95-7141-3_30","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"conference-paper","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/A5136557677","display_name":"Linjing Qian","orcid":"https://orcid.org/0009-0005-9207-3737"},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Linjing Qian","raw_affiliation_strings":["Nanjing Normal University, Nanjing, 210023, China"],"raw_orcid":"https://orcid.org/0009-0005-9207-3737","affiliations":[{"raw_affiliation_string":"Nanjing Normal University, Nanjing, 210023, China","institution_ids":["https://openalex.org/I152031979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136543707","display_name":"Meng Li","orcid":"https://orcid.org/0009-0005-3706-4803"},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Li","raw_affiliation_strings":["Nanjing Normal University, Nanjing, 210023, China"],"raw_orcid":"https://orcid.org/0009-0005-3706-4803","affiliations":[{"raw_affiliation_string":"Nanjing Normal University, Nanjing, 210023, China","institution_ids":["https://openalex.org/I152031979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108921336","display_name":"Ningkang Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ningkang Peng","raw_affiliation_strings":["Nanjing Normal University, Nanjing, 210023, China"],"raw_orcid":"https://orcid.org/0009-0004-3445-5676","affiliations":[{"raw_affiliation_string":"Nanjing Normal University, Nanjing, 210023, China","institution_ids":["https://openalex.org/I152031979"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5136558117","display_name":"Taotao Long","orcid":"https://orcid.org/0009-0001-6099-6909"},"institutions":[{"id":"https://openalex.org/I4210118178","display_name":"Yangzhou Polytechnic Institute","ror":"https://ror.org/02grzhe48","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210118178"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Taotao Long","raw_affiliation_strings":["Yangzhou Polytechnic University, Yangzhou, 225009, China"],"raw_orcid":"https://orcid.org/0009-0001-6099-6909","affiliations":[{"raw_affiliation_string":"Yangzhou Polytechnic University, Yangzhou, 225009, China","institution_ids":["https://openalex.org/I4210118178"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5136557677"],"corresponding_institution_ids":["https://openalex.org/I152031979"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"453","last_page":"464"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.325300008058548,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10211","display_name":"Computational Drug Discovery Methods","score":0.325300008058548,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11948","display_name":"Machine Learning in Materials Science","score":0.060499999672174454,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.05959999933838844,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5710999965667725},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5325000286102295},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4657999873161316},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.41999998688697815},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.314300000667572}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8166000247001648},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6334999799728394},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5710999965667725},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5325000286102295},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4657999873161316},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.41999998688697815},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4156999886035919},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.314300000667572},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.29739999771118164},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2768000066280365},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.26510000228881836}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-981-95-7141-3_30","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-981-95-7141-3_30","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2072550304","https://openalex.org/W2963341956","https://openalex.org/W2970771982","https://openalex.org/W3153418506","https://openalex.org/W3187966659","https://openalex.org/W3211951295","https://openalex.org/W4281730963","https://openalex.org/W4310075772","https://openalex.org/W4323644175","https://openalex.org/W4387804083","https://openalex.org/W4391345293","https://openalex.org/W4396767944","https://openalex.org/W4401709416","https://openalex.org/W4402073661"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-05-21T00:00:00"}