Tian Gao

24 papers and 242 indexed citations i.

About

Tian Gao is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computational Theory and Mathematics. According to data from OpenAlex, Tian Gao has authored 24 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 9 papers in Management Science and Operations Research and 5 papers in Computational Theory and Mathematics. Recurrent topics in Tian Gao’s work include Bayesian Modeling and Causal Inference (11 papers), Data Quality and Management (8 papers) and Topic Modeling (6 papers). Tian Gao is often cited by papers focused on Bayesian Modeling and Causal Inference (11 papers), Data Quality and Management (8 papers) and Topic Modeling (6 papers). Tian Gao collaborates with scholars based in United States, China and Tajikistan. Tian Gao's co-authors include Qiang Ji, Dharmashankar Subramanian, Mo Yu, Debarun Bhattacharjya, Pavan Kapanipathi, Kartik Talamadupula, Rajarshi Das, Xiaoxiao Guo, Murray Campbell and Kshitij Fadnis and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering, IEEE Transactions on Cybernetics and Structural and Multidisciplinary Optimization.

In The Last Decade

Co-authorship network of co-authors of Tian Gao i

Fields of papers citing papers by Tian Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tian Gao. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tian Gao. The network helps show where Tian Gao may publish in the future.

Countries citing papers authored by Tian Gao

Since Specialization
Citations

This map shows the geographic impact of Tian Gao's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tian Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tian Gao more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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2025