Ding Wang

277 papers and 9.5k indexed citations i.

About

Ding Wang is a scholar working on Computational Theory and Mathematics, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Ding Wang has authored 277 papers receiving a total of 9.5k indexed citations (citations by other indexed papers that have themselves been cited), including 188 papers in Computational Theory and Mathematics, 132 papers in Control and Systems Engineering and 95 papers in Artificial Intelligence. Recurrent topics in Ding Wang’s work include Adaptive Dynamic Programming Control (185 papers), Adaptive Control of Nonlinear Systems (111 papers) and Reinforcement Learning in Robotics (71 papers). Ding Wang is often cited by papers focused on Adaptive Dynamic Programming Control (185 papers), Adaptive Control of Nonlinear Systems (111 papers) and Reinforcement Learning in Robotics (71 papers). Ding Wang collaborates with scholars based in China, United States and Japan. Ding Wang's co-authors include Derong Liu, Hongliang Li, Qinglai Wei, Mingming Ha, Haibo He, Xiong Yang, Chaoxu Mu, Dongbin Zhao, Junfei Qiao and Hongwen Ma and has published in prestigious journals such as Energy & Environmental Science, Applied Physics Letters and IEEE Transactions on Automatic Control.

In The Last Decade

Co-authorship network of co-authors of Ding Wang i

Fields of papers citing papers by Ding Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ding Wang

Since Specialization
Citations

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