Ding Wang

15.0k total citations · 5 hit papers
329 papers, 11.4k citations indexed

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 329 papers receiving a total of 11.4k indexed citations (citations by other indexed papers that have themselves been cited), including 214 papers in Computational Theory and Mathematics, 157 papers in Control and Systems Engineering and 108 papers in Artificial Intelligence. Recurrent topics in Ding Wang's work include Adaptive Dynamic Programming Control (211 papers), Adaptive Control of Nonlinear Systems (122 papers) and Reinforcement Learning in Robotics (75 papers). Ding Wang is often cited by papers focused on Adaptive Dynamic Programming Control (211 papers), Adaptive Control of Nonlinear Systems (122 papers) and Reinforcement Learning in Robotics (75 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, Xiong Yang, Haibo He, Mingming Ha, Chaoxu Mu, Junfei Qiao, Dongbin Zhao and Mingming Zhao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Energy & Environmental Science and Applied Physics Letters.

In The Last Decade

Ding Wang

299 papers receiving 11.3k citations

Hit Papers

Adaptive Dynamic Programming with Applications in Optima... 2012 2026 2016 2021 2017 2015 2012 2022 2023 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Adaptive Dynamic Programming with Applications in Optimal Control
    2017 350 citations Derong Liu, Ding Wang et al. profile →
  2. Reinforcement-Learning-Based Robust Controller Design for Continuous-Time Uncertain Nonlinear Systems Subject to Input Constraints
    2015 335 citations Derong Liu, Ding Wang et al. profile →
  3. Optimal control of unknown nonaffine nonlinear discrete-time systems based on adaptive dynamic programming
    2012 293 citations Ding Wang, Derong Liu et al. profile →
  4. The intelligent critic framework for advanced optimal control
    2022 142 citations Ding Wang, Mingming Zhao et al. profile →
  5. Recent Progress in Reinforcement Learning and Adaptive Dynamic Programming for Advanced Control Applications
    2023 137 citations Ding Wang, Derong Liu et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ding Wang China 60 7.7k 6.3k 3.9k 2.5k 1.8k 329 11.4k
Zengqiang Chen China 51 1.4k 0.2× 3.6k 0.6× 935 0.2× 1.1k 0.4× 410 0.2× 694 12.2k
Zhi Liu China 49 2.3k 0.3× 6.4k 1.0× 1.1k 0.3× 1.0k 0.4× 442 0.2× 352 9.4k
Qi Zhou China 53 2.4k 0.3× 7.7k 1.2× 1.5k 0.4× 909 0.4× 273 0.2× 212 10.1k
Kaibo Shi China 54 996 0.1× 4.9k 0.8× 1.7k 0.5× 2.1k 0.9× 221 0.1× 539 10.3k
Feng Lin United States 45 4.2k 0.6× 1.8k 0.3× 792 0.2× 1.2k 0.5× 115 0.1× 336 7.0k
Jianbin Qiu China 74 2.2k 0.3× 12.1k 1.9× 2.4k 0.6× 1.2k 0.5× 495 0.3× 291 15.6k
Xinzhi Liu Canada 55 615 0.1× 4.2k 0.7× 949 0.2× 988 0.4× 831 0.5× 464 11.4k
Yan Li China 46 379 0.0× 4.1k 0.6× 669 0.2× 2.3k 0.9× 618 0.3× 515 10.6k
Jie Chen China 47 1.4k 0.2× 8.3k 1.3× 892 0.2× 1.7k 0.7× 586 0.3× 493 13.6k
Viviana Cocco Mariani Brazil 53 855 0.1× 1.0k 0.2× 2.3k 0.6× 3.2k 1.3× 437 0.2× 216 7.8k

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).

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.

Co-authorship network of co-authors of Ding Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Ding Wang. A scholar is included among the top collaborators of Ding Wang 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 Ding Wang. Ding Wang 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.
Wang, Ding, et al.. (2025). Adjustable behavior-guided adaptive dynamic programming for neural learning control. Neurocomputing. 636. 129986–129986. 2 indexed citations
2.
Wang, Ding, et al.. (2025). Swarm-intelligence-based value iteration for optimal regulation of continuous-time nonlinear systems. Swarm and Evolutionary Computation. 95. 101913–101913.
3.
Qiu, Liang, et al.. (2025). Solar-driven biorefinery: Enabling sustainable biomass valorization. Journal of Energy Chemistry. 113. 402–407.
4.
Wang, Ding, et al.. (2024). Adaptive critic design with weight allocation for intelligent learning control of wastewater treatment plants. Engineering Applications of Artificial Intelligence. 133. 108284–108284. 5 indexed citations
5.
Wang, Ding, et al.. (2024). Evolution-guided value iteration for optimal tracking control. Neurocomputing. 593. 127835–127835. 6 indexed citations
6.
Wang, Ding, et al.. (2024). Adjustable iterative Q-learning for advanced neural tracking control with stability guarantee. Neurocomputing. 584. 127592–127592. 4 indexed citations
7.
Li, Xin, Ding Wang, Mingming Zhao, & Junfei Qiao. (2024). Reinforcement learning control with n-step information for wastewater treatment systems. Engineering Applications of Artificial Intelligence. 133. 108033–108033. 2 indexed citations
8.
Wang, Ding, et al.. (2024). Novel generalized policy iteration for efficient evolving control of nonlinear systems. Neurocomputing. 608. 128418–128418. 1 indexed citations
9.
Niu, Ben, et al.. (2024). Adaptive Secure Bipartite Consensus Tracking Control for Nonlinear Multiagent Systems Under FDI Attacks With Predefined Accuracy. IEEE Transactions on Systems Man and Cybernetics Systems. 55(2). 1516–1525. 1 indexed citations
10.
Niu, Ben, Guangju Zhang, Xudong Zhao, et al.. (2024). Adaptive Prescribed-Time Consensus Tracking Control Scheme of Nonlinear Multi-Agent Systems Under Deception Attacks. IEEE Transactions on Automation Science and Engineering. 22. 4196–4205. 9 indexed citations
11.
Wang, Ding, et al.. (2024). Evolution-Guided Adaptive Dynamic Programming for Nonlinear Optimal Control. IEEE Transactions on Systems Man and Cybernetics Systems. 54(10). 6043–6054. 11 indexed citations
12.
Wang, Jiangyu, Ding Wang, Xin Li, & Junfei Qiao. (2023). Dichotomy value iteration with parallel learning design towards discrete-time zero-sum games. Neural Networks. 167. 751–762. 6 indexed citations
13.
Wang, Ding, Jiangyu Wang, Lingzhi Hu, & Mingming Zhao. (2023). Event-based online learning control design with eligibility trace for discrete-time unknown nonlinear systems. Engineering Applications of Artificial Intelligence. 123. 106240–106240. 4 indexed citations
14.
Wang, Ding, et al.. (2023). Model-free intelligent critic design with error analysis for neural tracking control. Neurocomputing. 572. 127198–127198.
15.
Wang, Ding, et al.. (2023). Data-driven tracking control design with reinforcement learning involving a wastewater treatment application. Engineering Applications of Artificial Intelligence. 123. 106242–106242. 6 indexed citations
16.
Li, Pei‐Rong, et al.. (2023). Polymer-Modified Lipid Nanoparticles with Microenvironment-Responsive Graded Release for Amplified Photodynamic Therapy Through Tumor Vascular Normalization. ACS Applied Nano Materials. 6(14). 13352–13362. 1 indexed citations
17.
Wang, Ding, et al.. (2023). Intelligent Optimal Control of Constrained Nonlinear Systems via Receding-Horizon Heuristic Dynamic Programming. IEEE Transactions on Systems Man and Cybernetics Systems. 54(1). 287–299. 22 indexed citations
18.
Wang, Ding, et al.. (2023). Decentralized Optimal Neurocontroller Design for Mismatched Interconnected Systems via Integral Policy Iteration. IEEE Transactions on Circuits & Systems II Express Briefs. 71(2). 687–691. 4 indexed citations
19.
Xia, Junhong, et al.. (2004). APPLICABILITY OF CETACEAN MICROSATELLITE PRIMERS IN THE YANGTZE FINLESS PORPOISE. Acta Hydrobiologica Sinica. 28(6). 640–646. 1 indexed citations
20.

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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