Jing Wang

11.8k total citations · 6 hit papers
440 papers, 8.1k citations indexed

About

Jing Wang is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Jing Wang has authored 440 papers receiving a total of 8.1k indexed citations (citations by other indexed papers that have themselves been cited), including 181 papers in Control and Systems Engineering, 172 papers in Computer Networks and Communications and 111 papers in Electrical and Electronic Engineering. Recurrent topics in Jing Wang's work include Neural Networks Stability and Synchronization (97 papers), Stability and Control of Uncertain Systems (92 papers) and Distributed Control Multi-Agent Systems (74 papers). Jing Wang is often cited by papers focused on Neural Networks Stability and Synchronization (97 papers), Stability and Control of Uncertain Systems (92 papers) and Distributed Control Multi-Agent Systems (74 papers). Jing Wang collaborates with scholars based in China, United States and South Korea. Jing Wang's co-authors include Hao Shen, Jianwei Xia, Nicola Elia, Ju H. Park, Jinde Cao, Zheng‐Guang Wu, Zhen Wang, Clément Gosselin, Zhihua Qu and R Hull and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Environmental Science & Technology.

In The Last Decade

Jing Wang

392 papers receiving 7.9k citations

Hit Papers

Iron–Manganese (Oxyhydro)oxides, Rather... 2011 2026 2016 2021 2019 2021 2020 2011 2021 100 200 300

Peers

Jing Wang
Feng Qian China
Xinzhi Liu Canada
Xiang Li China
Yong Li China
Feng Liu China
Hong Wang China
Fang Wang China
Donald C. Wunsch United States
Feng Qian China
Jing Wang
Citations per year, relative to Jing Wang Jing Wang (= 1×) peers Feng Qian

Countries citing papers authored by Jing Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jing Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Wang. A scholar is included among the top collaborators of Jing 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 Jing Wang. Jing 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, Jing, et al.. (2024). Reinforcement learning-based secure synchronization for two-time-scale complex dynamical networks with malicious attacks. Applied Mathematics and Computation. 479. 128840–128840.
2.
Shen, Hao, Zhen Mei, Lei Su, Jing Wang, & Kaibo Shi. (2024). H state estimation for fuzzy affine systems with PDT switching-based DoS attacks. Mathematics and Computers in Simulation. 231. 32–45.
3.
Wang, Jing, et al.. (2024). Resilient event-triggered H control for autonomous vehicle under novel important-data-based DoS attack. Journal of the Franklin Institute. 362(1). 107358–107358.
4.
Wang, Jing, Da‐jun Zhang, & Ken‐ichi Maruno. (2024). Connection between the symmetric discrete AKP system and bilinear ABS lattice equations. Physica D Nonlinear Phenomena. 462. 134155–134155.
5.
Wang, Guanqi, Feng Li, Jianwei Xia, Hao Shen, & Jing Wang. (2024). Hidden Markov model‐based ℋ control for singular Markov jump systems under denial of service attacks. International Journal of Robust and Nonlinear Control. 34(6). 4310–4324. 4 indexed citations
7.
Yang, Ran, Jianwei Xia, Jing Wang, & Hao Shen. (2024). H load frequency control of multi-area power systems with multi-time-varying delays against deception attacks via a sliding mode control strategy. Journal of the Franklin Institute. 361(18). 107280–107280. 3 indexed citations
8.
Wang, Jing, et al.. (2024). An Optimal Control Scheme for a Grid-Connected Inverter Under Measurement Noise. IEEE Transactions on Circuits & Systems II Express Briefs. 71(12). 4929–4933. 1 indexed citations
9.
Li, Feng, et al.. (2024). Hidden-Markov-model-based event-triggered output consensus for Markov jump multi-agent systems with general information. Journal of the Franklin Institute. 361(5). 106655–106655. 2 indexed citations
10.
Shen, Hao, et al.. (2024). H Control for Interconnected Systems With Unknown System Dynamics: A Two-Stage Reinforcement Learning Method. IEEE Transactions on Automation Science and Engineering. 22. 6388–6397. 3 indexed citations
11.
Wang, Jing, Christopher L.E. Swartz, & Kai Huang. (2023). Deep learning-based model predictive control for real-time supply chain optimization. Journal of Process Control. 129. 103049–103049. 8 indexed citations
12.
Wu, Tianyu, et al.. (2023). Event-triggered gain-scheduling dissipative synchronization control for switched neural networks under state-dependent switching. Journal of the Franklin Institute. 360(4). 2617–2634. 5 indexed citations
13.
Peng, Yuhuai, et al.. (2023). Modeling and optimization of collaborative computing in regional multi-energy systems for energy Internet. Sustainable Computing Informatics and Systems. 39. 100877–100877. 1 indexed citations
14.
Li, Ziwei, et al.. (2023). Finite-time asynchronous H∞ control for Markov jump singularly perturbed systems with partially known probabilities. Applied Mathematics and Computation. 457. 128193–128193. 3 indexed citations
15.
Li, Feng, et al.. (2023). Dissipative consensus for two-time-scale semi-Markov jump multi-agent systems against false data injection attacks via a dynamic event-triggered scheme. Nonlinear Analysis Hybrid Systems. 50. 101382–101382. 7 indexed citations
16.
Wang, Jing, et al.. (2023). Deep Clustering by Graph Attention Contrastive Learning. Electronics. 12(11). 2489–2489. 2 indexed citations
17.
Gu, Xiang, Chunye Lin, Baodong Wang, Jing Wang, & Wei Ouyang. (2021). A comprehensive assessment of anthropogenic impacts, contamination, and ecological risks of toxic elements in sediments of urban rivers: A case study in Qingdao, East China. Environmental Advances. 7. 100143–100143. 29 indexed citations
18.
Wang, Jing, Chengyu Yang, Jianwei Xia, Zheng‐Guang Wu, & Hao Shen. (2021). Observer-Based Sliding Mode Control for Networked Fuzzy Singularly Perturbed Systems Under Weighted Try-Once-Discard Protocol. IEEE Transactions on Fuzzy Systems. 30(6). 1889–1899. 301 indexed citations breakdown →
19.
Dong, Yunxuan, Jing Wang, Xiao Ling, & Tonglin Fu. (2020). Short-term wind speed time series forecasting based on a hybrid method with multiple objective optimization for non-convex target. Energy. 215. 119180–119180. 18 indexed citations
20.
Liao, Shengli, Chuntian Cheng, Jing Wang, & Zhong-kai Feng. (2015). A Hybrid Search Algorithm for Midterm Optimal Scheduling of Thermal Power Plants. Mathematical Problems in Engineering. 2015. 1–13. 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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