Jiechuan Jiang

489 total citations
5 papers, 54 citations indexed

About

Jiechuan Jiang is a scholar working on Artificial Intelligence, Sociology and Political Science and Statistical and Nonlinear Physics. According to data from OpenAlex, Jiechuan Jiang has authored 5 papers receiving a total of 54 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Sociology and Political Science and 1 paper in Statistical and Nonlinear Physics. Recurrent topics in Jiechuan Jiang's work include Reinforcement Learning in Robotics (3 papers), Experimental Behavioral Economics Studies (1 paper) and Complex Network Analysis Techniques (1 paper). Jiechuan Jiang is often cited by papers focused on Reinforcement Learning in Robotics (3 papers), Experimental Behavioral Economics Studies (1 paper) and Complex Network Analysis Techniques (1 paper). Jiechuan Jiang collaborates with scholars based in China. Jiechuan Jiang's co-authors include Zongqing Lu and has published in prestigious journals such as arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Jiechuan Jiang

4 papers receiving 52 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiechuan Jiang China 3 47 13 8 6 6 5 54
Björn Tackmann Switzerland 4 34 0.7× 17 1.3× 6 0.8× 4 0.7× 8 1.3× 7 46
Sebastiaan de Hoogh Netherlands 2 44 0.9× 8 0.6× 5 0.6× 4 0.7× 10 1.7× 2 62
Feng-Hao Liu United States 4 57 1.2× 10 0.8× 8 1.0× 4 0.7× 14 2.3× 18 68
Isamu Teranishi Japan 5 41 0.9× 14 1.1× 5 0.6× 5 0.8× 7 1.2× 11 50
Avishay Yanai Israel 5 49 1.0× 18 1.4× 3 0.4× 3 0.5× 6 1.0× 11 61
Boyang Li China 6 34 0.7× 7 0.5× 6 0.8× 5 0.8× 2 0.3× 11 56
Danilo Francati Italy 3 90 1.9× 17 1.3× 8 1.0× 4 0.7× 5 0.8× 5 109
Hossein Yalame Germany 7 123 2.6× 8 0.6× 6 0.8× 6 1.0× 8 1.3× 15 131
Kallista Bonawitz United States 3 60 1.3× 13 1.0× 11 1.4× 10 1.7× 4 0.7× 3 75
Jan Pfeifer United States 4 44 0.9× 6 0.5× 5 0.6× 11 1.8× 8 1.3× 6 69

Countries citing papers authored by Jiechuan Jiang

Since Specialization
Citations

This map shows the geographic impact of Jiechuan Jiang'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 Jiechuan Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiechuan Jiang more than expected).

Fields of papers citing papers by Jiechuan Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jiechuan Jiang. 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 Jiechuan Jiang. The network helps show where Jiechuan Jiang may publish in the future.

Co-authorship network of co-authors of Jiechuan Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Jiechuan Jiang. A scholar is included among the top collaborators of Jiechuan Jiang 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 Jiechuan Jiang. Jiechuan Jiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
1.
Jiang, Jiechuan & Zongqing Lu. (2023). Adaptive Learning Rates for Multi-Agent Reinforcement Learning. 23–30.
2.
Jiang, Jiechuan & Zongqing Lu. (2023). Online Tuning for Offline Decentralized Multi-Agent Reinforcement Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 37(7). 8050–8059. 2 indexed citations
3.
Jiang, Jiechuan & Zongqing Lu. (2020). Generative Exploration and Exploitation. Proceedings of the AAAI Conference on Artificial Intelligence. 34(4). 4337–4344. 2 indexed citations
4.
Jiang, Jiechuan & Zongqing Lu. (2019). Learning Fairness in Multi-Agent Systems. arXiv (Cornell University). 32. 13854–13865. 4 indexed citations
5.
Jiang, Jiechuan & Zongqing Lu. (2018). Learning Attentional Communication for Multi-Agent Cooperation. arXiv (Cornell University). 31. 7254–7264. 46 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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