{"id":"https://openalex.org/A5152630488","orcid":null,"observed_orcids":[],"display_name":"Tianyong Hao","raw_author_names":["Hao, Tianyong","Tianyong Hao"],"full_name":"Tianyong Hao","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/A5152630488","orcid":null,"observed_orcids":[]},"affiliations":[{"institution":{"id":"https://openalex.org/I187400657","ror":"https://ror.org/01kq0pv72","display_name":"South China Normal University","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]},"years":[2026]}],"last_known_institutions":[{"id":"https://openalex.org/I187400657","ror":"https://ror.org/01kq0pv72","display_name":"South China Normal University","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"topics":[{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","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/T11612","display_name":"Stochastic Gradient Optimization Techniques","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/T12292","display_name":"Graph Theory and Algorithms","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/T11273","display_name":"Advanced Graph Neural Networks","value":1.26e-05,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","value":1.11e-05,"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/T12292","display_name":"Graph Theory and Algorithms","value":8.7e-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"}}],"x_concepts":[{"id":"11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","score":0.5338000059127808},{"id":"132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","score":0.41760000586509705},{"id":"126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","score":0.34040001034736633},{"id":"118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","score":0.290800005197525},{"id":"128115575","wikidata":"https://www.wikidata.org/wiki/Q5597083","display_name":"Graph factorization","score":0.28369998931884766}],"counts_by_year":[{"year":2026,"works_count":1,"oa_works_count":1,"cited_by_count":0}],"display_name_alternatives":["Hao, Tianyong","Tianyong Hao"],"block_key":"t hao","works_api_url":"https://api.openalex.org/works?filter=author.id:A5152630488","updated_date":"2026-10-05T12:30:24","created_date":"2026-09-25T00:00:00"}