Pingzhong Tang

1.5k total citations
76 papers, 763 citations indexed

About

Pingzhong Tang is a scholar working on Management Science and Operations Research, Marketing and Economics and Econometrics. According to data from OpenAlex, Pingzhong Tang has authored 76 papers receiving a total of 763 indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Management Science and Operations Research, 30 papers in Marketing and 26 papers in Economics and Econometrics. Recurrent topics in Pingzhong Tang's work include Auction Theory and Applications (48 papers), Consumer Market Behavior and Pricing (28 papers) and Game Theory and Applications (24 papers). Pingzhong Tang is often cited by papers focused on Auction Theory and Applications (48 papers), Consumer Market Behavior and Pricing (28 papers) and Game Theory and Applications (24 papers). Pingzhong Tang collaborates with scholars based in China, United States and Hong Kong. Pingzhong Tang's 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 and has published in prestigious journals such as Econometrica, Water Resources Research and Artificial Intelligence.

In The Last Decade

Pingzhong Tang

72 papers receiving 733 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Pingzhong Tang China 14 371 207 206 166 117 76 763
Elmar Kiesling Austria 11 363 1.0× 72 0.3× 110 0.5× 119 0.7× 120 1.0× 57 791
Santiago Balseiro United States 16 529 1.4× 519 2.5× 47 0.2× 40 0.2× 81 0.7× 64 976
Shih-Fen Cheng Singapore 15 161 0.4× 106 0.5× 98 0.5× 18 0.1× 59 0.5× 63 698
David Corsar United Kingdom 11 76 0.2× 38 0.2× 171 0.8× 155 0.9× 28 0.2× 47 629
Hsin‐Vonn Seow Malaysia 13 154 0.4× 67 0.3× 512 2.5× 93 0.6× 147 1.3× 27 1.1k
Azarakhsh Malekian United States 12 206 0.6× 168 0.8× 42 0.2× 73 0.4× 90 0.8× 44 468
Herbert Hamers Netherlands 18 568 1.5× 55 0.3× 74 0.4× 41 0.2× 460 3.9× 96 1.1k
Mingshuo Cao China 18 561 1.5× 30 0.1× 371 1.8× 82 0.5× 32 0.3× 30 956
Biying Shou Hong Kong 16 232 0.6× 202 1.0× 26 0.1× 30 0.2× 147 1.3× 41 1.0k
Michael Schwind Germany 10 82 0.2× 41 0.2× 40 0.2× 81 0.5× 41 0.4× 55 482

Countries citing papers authored by Pingzhong Tang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Liu, Yang, et al.. (2024). A mechanism design approach for multi-party machine learning. Theoretical Computer Science. 1003. 114618–114618. 2 indexed citations
2.
Zhang, Youjia & Pingzhong Tang. (2023). Collusion-Proof and Sybil-Proof Reward Mechanisms for Query Incentive Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 37(5). 5892–5899.
3.
Zheng, Hang, Jianshi Zhao, Yicheng Liu, et al.. (2018). A Two‐Phase Model for Trade Matching and Price Setting in Double Auction Water Markets. Water Resources Research. 54(4). 2999–3017. 14 indexed citations
4.
Cai, Qingpeng, et al.. (2018). Generalized deterministic policy gradient algorithms.. arXiv (Cornell University). 1 indexed citations
5.
Cai, Qingpeng, et al.. (2018). Policy Gradients for Contextual Bandits.. arXiv (Cornell University). 1 indexed citations
6.
Li, Zhiyuan, et al.. (2017). Stability of Generalized Two-sided Markets with Transaction Thresholds. Adaptive Agents and Multi-Agents Systems. 290–298. 2 indexed citations
7.
Chen, Lijie, et al.. (2017). K-Memory Strategies in Repeated Games. Adaptive Agents and Multi-Agents Systems. 2. 1493–1498. 4 indexed citations
8.
Jia, Zhipeng, et al.. (2017). Efficient Near-optimal Algorithms for Barter Exchange. Adaptive Agents and Multi-Agents Systems. 362–370. 7 indexed citations
9.
Tang, Pingzhong, et al.. (2016). Digital Good Exchange: (Extended Abstract). International Joint Conference on Artificial Intelligence. 1277–1278. 3 indexed citations
10.
Tang, Pingzhong, et al.. (2016). Complexity and Algorithms of K-implementation. Adaptive Agents and Multi-Agents Systems. 5–13. 2 indexed citations
11.
Liu, Yicheng & Pingzhong Tang. (2016). Single Item Auctions with Discrete Action Spaces: (Extended Abstract). Adaptive Agents and Multi-Agents Systems. 1305–1306. 1 indexed citations
12.
Mirrokni, Vahab, Renato Paes Leme, Pingzhong Tang, & Song Zuo. (2016). Dynamic auctions with bank accounts. International Joint Conference on Artificial Intelligence. 387–393. 11 indexed citations
13.
Cai, Qingpeng, Aris Filos-Ratsikas, & Pingzhong Tang. (2016). Facility location with minimax envy. Oxford University Research Archive (ORA) (University of Oxford). 137–143. 16 indexed citations
14.
Chen, Lijie & Pingzhong Tang. (2015). Bounded Rationality of Restricted Turing Machines. Adaptive Agents and Multi-Agents Systems. 1673–1674. 5 indexed citations
15.
Tang, Pingzhong, et al.. (2015). Mechanism design and implementation for lung exchange. International Conference on Artificial Intelligence. 209–215. 8 indexed citations
16.
Wang, Zihe & Pingzhong Tang. (2015). Optimal auctions for partially rational bidders. International Conference on Artificial Intelligence. 118–124. 5 indexed citations
17.
Li, Jian, Yicheng Liu, Lingxiao Huang, & Pingzhong Tang. (2014). Egalitarian pairwise kidney exchange: fast algorithms vialinear programming and parametric flow. Adaptive Agents and Multi-Agents Systems. 445–452. 15 indexed citations
18.
Tang, Pingzhong & Tüomas Sandholm. (2012). Mixed-bundling auctions with reserve prices. Adaptive Agents and Multi-Agents Systems. 729–736. 11 indexed citations
19.
Tang, Pingzhong & Tüomas Sandholm. (2011). Approximating optimal combinatorial auctions for complements using restricted welfare maximization. International Joint Conference on Artificial Intelligence. 2011. 379–385. 4 indexed citations
20.
Tang, Pingzhong, Yoav Shoham, & Fangzhen Lin. (2009). Team competition. Adaptive Agents and Multi-Agents Systems. 241–248. 1 indexed citations

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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