{"id":"https://openalex.org/A5152398083","orcid":null,"observed_orcids":[],"display_name":"Xuanzhou Chen","raw_author_names":["Chen, Xuanzhou","Xuanzhou Chen"],"full_name":"Xuanzhou Chen","works_count":1,"cited_by_count":0,"summary_stats":{"2yr_mean_citedness":0.0,"h_index":0,"i10_index":0},"ids":{"openalex":"https://openalex.org/A5152398083","orcid":null,"observed_orcids":[]},"affiliations":[{"institution":{"id":"https://openalex.org/I130701444","ror":"https://ror.org/01zkghx44","display_name":"Georgia Institute of Technology","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]},"years":[2026]}],"last_known_institutions":[{"id":"https://openalex.org/I130701444","ror":"https://ror.org/01zkghx44","display_name":"Georgia Institute of Technology","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","count":1,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11094","display_name":"Face Recognition and Perception","count":1,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","count":1,"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"}}],"topic_share":[{"id":"https://openalex.org/T11094","display_name":"Face Recognition and Perception","value":6.6e-06,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","value":5.7e-06,"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/T10667","display_name":"Emotion and Mood Recognition","value":5.2e-06,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"x_concepts":[{"id":"154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","score":0.38920000195503235},{"id":"12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","score":0.3402999937534332},{"id":"153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","score":0.27079999446868896},{"id":"118147538","wikidata":"https://www.wikidata.org/wiki/Q1126970","display_name":"Metacognition","score":0.26919999718666077},{"id":"129484327","wikidata":"https://www.wikidata.org/wiki/Q177603","display_name":"Social perception","score":0.26339998841285706}],"counts_by_year":[{"year":2026,"works_count":1,"oa_works_count":1,"cited_by_count":0}],"display_name_alternatives":["Chen, Xuanzhou","Xuanzhou Chen"],"block_key":"x chen","works_api_url":"https://api.openalex.org/works?filter=author.id:A5152398083","updated_date":"2026-10-05T12:30:24","created_date":"2026-09-22T00:00:00"}
