Mingming Zhao

1.6k total citations · 1 hit paper
68 papers, 1.2k citations indexed

About

Mingming Zhao is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Mingming Zhao has authored 68 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Computational Theory and Mathematics, 25 papers in Artificial Intelligence and 22 papers in Control and Systems Engineering. Recurrent topics in Mingming Zhao's work include Adaptive Dynamic Programming Control (41 papers), Reinforcement Learning in Robotics (22 papers) and Adaptive Control of Nonlinear Systems (17 papers). Mingming Zhao is often cited by papers focused on Adaptive Dynamic Programming Control (41 papers), Reinforcement Learning in Robotics (22 papers) and Adaptive Control of Nonlinear Systems (17 papers). Mingming Zhao collaborates with scholars based in China, Australia and Germany. Mingming Zhao's co-authors include Ding Wang, Junfei Qiao, Mingming Ha, Jinchen Ji, Lingzhi Hu, Naili Zhang, Jie Bi, Linghao Li, Keping Ma and Shiqiang Wan and has published in prestigious journals such as Scientific Reports, Free Radical Biology and Medicine and International Journal of Molecular Sciences.

In The Last Decade

Mingming Zhao

62 papers receiving 1.2k citations

Hit Papers

align trajectories

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.

The intelligent critic framework for advanced optimal control

2022 142 citations Ding Wang, Mingming Ha et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mingming Zhao China	18	524	456	294	158	124	68	1.2k
Junqing Li China	19	270 0.5×	526 1.2×	223 0.8×	79 0.5×	30 0.2×	71	1.6k
Xunyuan Yin Canada	22	96 0.2×	991 2.2×	160 0.5×	161 1.0×	40 0.3×	102	1.4k
Erik Weyer Australia	25	77 0.1×	1.0k 2.3×	207 0.7×	102 0.6×	24 0.2×	152	2.1k
Daobo Wang China	18	59 0.1×	604 1.3×	136 0.5×	64 0.4×	35 0.3×	110	1.1k
Salinda Buyamin Malaysia	17	37 0.1×	359 0.8×	138 0.5×	225 1.4×	43 0.3×	64	1.2k
Yonghua Li China	20	80 0.2×	188 0.4×	104 0.4×	89 0.6×	97 0.8×	140	1.3k
Michael Cantoni Australia	18	77 0.1×	791 1.7×	53 0.2×	222 1.4×	12 0.1×	130	1.3k
L.G. van Willigenburg Netherlands	18	57 0.1×	315 0.7×	114 0.4×	35 0.2×	60 0.5×	83	1.1k
Dawei Zhang China	19	57 0.1×	643 1.4×	34 0.1×	112 0.7×	211 1.7×	83	1.5k

Countries citing papers authored by Mingming Zhao

Since Specialization

Citations

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

Fields of papers citing papers by Mingming Zhao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingming Zhao

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Zhao, Mingming, et al.. (2025). Effect of pH and buffer on substrate binding and catalysis by cis-aconitate decarboxylase. Scientific Reports. 15(1). 5076–5076. 2 indexed citations

Zhao, Mingming, et al.. (2025). Spatiotemporal Evolution and Driving Factors of Green Transition Resilience in Four Types of China’s Resource-Based Cities Based on the Geographical Detector Model. Sustainability. 18(1). 391–391.

Wang, Ding, et al.. (2025). Model-free tracking design for nonlinear zero-sum games with an improved utility function. Nonlinear Dynamics. 113(13). 16679–16694. 3 indexed citations

Yu, Jinming, Mingzhu Liu, Mingming Zhao, et al.. (2025). Galla Chinensis as an antiviral agent: Targeting Micropterus salmoides rhabdovirus infection. Fish & Shellfish Immunology. 167. 110675–110675.

Zhao, Mingming, Ding Wang, & Junfei Qiao. (2025). Neural-network-based accelerated safe Q-learning for optimal control of discrete-time nonlinear systems with state constraints. Neural Networks. 186. 107249–107249. 2 indexed citations

Wang, Ding, et al.. (2024). Evolution-guided value iteration for optimal tracking control. Neurocomputing. 593. 127835–127835. 6 indexed citations

Song, Shijie, et al.. (2024). Convergence and stability analysis of value iteration Q-learning under non-discounted cost for discrete-time optimal control. Neurocomputing. 606. 128370–128370. 3 indexed citations

Wang, Ding, et al.. (2024). Adjustable iterative Q-learning for advanced neural tracking control with stability guarantee. Neurocomputing. 584. 127592–127592. 4 indexed citations

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

10.

Wang, Ding, et al.. (2024). Novel generalized policy iteration for efficient evolving control of nonlinear systems. Neurocomputing. 608. 128418–128418. 1 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.

He, Na, et al.. (2024). Utilizing ChatGPT as a scientific reasoning engine to differentiate conflicting evidence and summarize challenges in controversial clinical questions. Journal of the American Medical Informatics Association. 31(7). 1551–1560. 9 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). 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

16.

Wang, Ding, Yuan Wang, Mingming Zhao, & Junfei Qiao. (2023). Iterative Q-Learning for Model-Free Optimal Control With Adjustable Convergence Rate. IEEE Transactions on Circuits & Systems II Express Briefs. 71(4). 2224–2228. 5 indexed citations

17.

Qiao, Junfei, Mingming Zhao, Ding Wang, & Mingming Ha. (2023). Adjustable Iterative Q-Learning Schemes for Model-Free Optimal Tracking Control. IEEE Transactions on Systems Man and Cybernetics Systems. 54(2). 1202–1213. 18 indexed citations

18.

Li, Yongfeng, Mingming Zhao, Weijie Chen, & Zaiwen Wen. (2023). A Stochastic Composite Augmented Lagrangian Method for Reinforcement Learning. SIAM Journal on Optimization. 33(2). 921–949.

19.

Du, Shengli, et al.. (2023). Dual‐mode event‐triggered predictive control for nonlinear systems with bounded disturbances. International Journal of Robust and Nonlinear Control. 34(3). 1878–1897. 2 indexed citations

20.

Li, Qiang, Xiao Liu, Mingming Zhao, et al.. (2023). Effects of drought hardening on the carbohydrate dynamics of Quercus acutissima seedlings under successional drought. Frontiers in Plant Science. 14. 1184584–1184584. 4 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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