{"id":"https://openalex.org/A5157936892","orcid":null,"observed_orcids":[],"display_name":"Xiaoyang Cao","raw_author_names":["Cao, Xiaoyang","Xiaoyang Cao"],"full_name":"Xiaoyang Cao","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/A5157936892","orcid":null,"observed_orcids":[]},"affiliations":[{"institution":{"id":"https://openalex.org/I63966007","ror":"https://ror.org/042nb2s44","display_name":"Massachusetts Institute of Technology","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]},"years":[2026]}],"last_known_institutions":[{"id":"https://openalex.org/I63966007","ror":"https://ror.org/042nb2s44","display_name":"Massachusetts Institute of Technology","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"topics":[{"id":"https://openalex.org/T10456","display_name":"Multi-Agent Systems and Negotiation","count":1,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10462","display_name":"Reinforcement Learning in Robotics","count":1,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11031","display_name":"Game Theory and Applications","count":1,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"topic_share":[{"id":"https://openalex.org/T10456","display_name":"Multi-Agent Systems and Negotiation","value":5.6e-06,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11031","display_name":"Game Theory and Applications","value":5.2e-06,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","value":4.8e-06,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"x_concepts":[{"id":"100243477","wikidata":"https://www.wikidata.org/wiki/Q12002092","display_name":"Welfare","score":0.65829998254776},{"id":"124584101","wikidata":"https://www.wikidata.org/wiki/Q1053266","display_name":"Multiplier (economics)","score":0.6154999732971191},{"id":"126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","score":0.41449999809265137},{"id":"112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","score":0.3280999958515167},{"id":"111110010","wikidata":"https://www.wikidata.org/wiki/Q2627315","display_name":"Convex combination","score":0.2775999903678894}],"counts_by_year":[{"year":2026,"works_count":1,"oa_works_count":1,"cited_by_count":0}],"display_name_alternatives":["Cao, Xiaoyang","Xiaoyang Cao"],"block_key":"x cao","works_api_url":"https://api.openalex.org/works?filter=author.id:A5157936892","updated_date":"2026-10-13T12:33:52","created_date":"2026-10-09T00:00:00"}
