Pingzhong Tang
- Management Science and Operations Research top 2%
- Marketing top 5%
- Artificial Intelligence top 5%
- Information Systems top 5%
- Economics and Econometrics top 10%
- Co-authors
- Qingpeng CaiFangzhen LinLongbo HuangSong ZuoAris Filos-RatsikasWeiran ShenZhixuan FangXiang Ao
- Topics
- Auction Theory and Applications (48 papers)Consumer Market Behavior and Pricing (28 papers)Game Theory and Applications (24 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Pingzhong Tang
72 papers receiving 733 citations
Peers
Comparison fields: 5 of 62
- Management Science and Operations Research 371
- Marketing 207
- Artificial Intelligence 206
- Information Systems 166
- Economics and Econometrics 117
Countries citing papers authored by Pingzhong Tang
This map shows the geographic impact of Pingzhong Tang'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 Pingzhong Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pingzhong Tang more than expected).
Fields of papers citing papers by Pingzhong Tang
This network shows the impact of papers produced by Pingzhong Tang. 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 Pingzhong Tang. The network helps show where Pingzhong Tang may publish in the future.
Co-authorship network of co-authors of Pingzhong Tang
This figure shows the co-authorship network connecting the top 25 collaborators of Pingzhong Tang. A scholar is included among the top collaborators of Pingzhong Tang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pingzhong Tang. Pingzhong Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 14 | |
| 4 | Generalized deterministic policy gradient algorithms. | 1 |
| 5 | Policy Gradients for Contextual Bandits. | 1 |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 7 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | Dynamic auctions with bank accounts | 11 |
| 13 | Facility location with minimax envy | 16 |
| 14 | 5 | |
| 15 | Mechanism design and implementation for lung exchange | 8 |
| 16 | Optimal auctions for partially rational bidders | 5 |
| 17 | 15 | |
| 18 | 11 | |
| 19 | 4 | |
| 20 | Team competition | 1 |
About Pingzhong Tang
Pingzhong Tang is a scholar working on Management Science and Operations Research, Marketing and Safety Research, having authored 76 papers that have together received 763 indexed citations. Recurring topics across this work include Auction Theory and Applications (48 papers), Consumer Market Behavior and Pricing (28 papers) and Game Theory and Applications (24 papers). The work is most often cited by research in Management Science and Operations Research (371 citations), Marketing (207 citations) and Transportation (96 citations). Pingzhong Tang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Qingpeng Cai, Fangzhen Lin, Longbo Huang, Song Zuo, Aris Filos-Ratsikas, Weiran Shen, Zhixuan Fang, Xiang Ao, Qing He and Yiwei Zhang. Their work appears in journals such as Econometrica, Water Resources Research and Artificial Intelligence.
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.