Jun Ning

464 total citations
41 papers, 262 citations indexed

About

Jun Ning is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Ocean Engineering. According to data from OpenAlex, Jun Ning has authored 41 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Control and Systems Engineering, 16 papers in Computer Networks and Communications and 14 papers in Ocean Engineering. Recurrent topics in Jun Ning's work include Adaptive Control of Nonlinear Systems (27 papers), Distributed Control Multi-Agent Systems (16 papers) and Stability and Control of Uncertain Systems (11 papers). Jun Ning is often cited by papers focused on Adaptive Control of Nonlinear Systems (27 papers), Distributed Control Multi-Agent Systems (16 papers) and Stability and Control of Uncertain Systems (11 papers). Jun Ning collaborates with scholars based in China, Vietnam and Portugal. Jun Ning's co-authors include Tieshan Li, C. L. Philip Chen, Chunze Li, Shaocheng Tong, Lu Liu, Yue Wu, Wei Li, Zhihui Li, Zhi-Xin Yang and Yue Long and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and IEEE Transactions on Fuzzy Systems.

In The Last Decade

Jun Ning

31 papers receiving 258 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Ning China 10 159 106 72 34 32 41 262
Alejandro González-García Mexico 9 186 1.2× 141 1.3× 43 0.6× 48 1.4× 26 0.8× 16 290
Andreas B. Martinsen Norway 9 122 0.8× 198 1.9× 33 0.5× 45 1.3× 63 2.0× 11 329
Fuguang Ding China 10 240 1.5× 104 1.0× 61 0.8× 91 2.7× 13 0.4× 43 368
Yongpeng Weng China 10 281 1.8× 59 0.6× 39 0.5× 34 1.0× 18 0.6× 28 338
Chenfeng Huang China 11 359 2.3× 203 1.9× 226 3.1× 73 2.1× 24 0.8× 21 473
Renxiang Bu China 10 266 1.7× 168 1.6× 30 0.4× 53 1.6× 15 0.5× 36 336
Duansong Wang China 11 229 1.4× 67 0.6× 99 1.4× 56 1.6× 34 1.1× 36 315
José Carlos Alves Portugal 10 55 0.3× 186 1.8× 21 0.3× 43 1.3× 42 1.3× 40 313
Chao Dong China 9 218 1.4× 82 0.8× 155 2.2× 46 1.4× 45 1.4× 21 343
Ivan R. Bertaska United States 11 125 0.8× 262 2.5× 22 0.3× 65 1.9× 25 0.8× 18 376

Countries citing papers authored by Jun Ning

Since Specialization
Citations

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

Fields of papers citing papers by Jun Ning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Ning

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Ning. A scholar is included among the top collaborators of Jun Ning 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 Jun Ning. Jun Ning 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.
Ning, Jun, et al.. (2025). Neural Network Observer Based Adaptive Trajectory Tracking Control Strategy of Unmanned Surface Vehicle With Event-Triggered Mechanisms and Signal Quantization. IEEE Transactions on Emerging Topics in Computational Intelligence. 9(4). 3136–3146. 10 indexed citations
2.
Li, Kewen, et al.. (2025). Dynamic Event‐Triggered Distributed Formation Control for Harbor Unmanned Container Transporter Platoon Under Dos Attacks. International Journal of Robust and Nonlinear Control. 36(3). 1413–1429.
3.
Yue, Yong, Jun Ning, Tieshan Li, & Lu Liu. (2025). Adaptive neural network course tracking control of USV with input quantisation and output constraints. International Journal of Systems Science. 56(11). 2674–2688. 3 indexed citations
4.
Ning, Jun, et al.. (2025). Event‐Triggered Based Trajectory Tracking Control of Under‐Actuated Unmanned Surface Vehicle with Input Quantization and Output Constraints. International Journal of Robust and Nonlinear Control. 35(15). 6319–6337.
5.
Ning, Jun, et al.. (2025). Event-Triggered-Based Distributed Formation Cooperative Tracking Control of Under-Actuated Unmanned Surface Vehicles With Input and State Quantization. IEEE Transactions on Intelligent Transportation Systems. 26(5). 7081–7097. 11 indexed citations
6.
7.
Li, Hui, et al.. (2025). Distributed Reinforcement Learning Optimal Cluster Consensus Control for Takagi–Sugeno Fuzzy Multiagent Systems. IEEE Transactions on Artificial Intelligence. 7(3). 1792–1802.
9.
Ning, Jun, et al.. (2024). Disturbance observer based adaptive trajectory tracking control for Unmanned Surface Vehicle with input and state quantization. Ocean Engineering. 308. 118206–118206. 5 indexed citations
10.
Ning, Jun, et al.. (2024). Collision Avoidance for Unmanned Surface Vehicles in Multi-Ship Encounters Based on Analytic Hierarchy Process–Adaptive Differential Evolution Algorithm. Journal of Marine Science and Engineering. 12(12). 2123–2123. 1 indexed citations
12.
Ning, Jun, et al.. (2024). Fuzzy Trajectory Tracking Control of Under-Actuated Unmanned Surface Vehicles With Ocean Current and Input Quantization. IEEE Transactions on Systems Man and Cybernetics Systems. 55(1). 63–72. 5 indexed citations
13.
Ning, Jun, et al.. (2024). Disturbance observer based adaptive heading control for unmanned marine vehicles with event‐triggered and input quantization. International Journal of Robust and Nonlinear Control. 34(17). 11469–11486. 2 indexed citations
14.
Ning, Jun, et al.. (2024). Quantized-States-Based Fuzzy Adaptive Course Tracking Control of an Unmanned Surface Vehicle with Input and State Quantization. International Journal of Fuzzy Systems. 27(2). 451–462. 1 indexed citations
15.
Ning, Jun, et al.. (2024). Disturbance observer based adaptive heading control for unmanned surface vehicle with event‐triggered and signal quantization. International Journal of Adaptive Control and Signal Processing. 38(9). 3195–3212. 4 indexed citations
16.
Lu, Haining, et al.. (2024). Adaptive bi-level path optimization for deep-sea mining vehicle in non-uniform grids considering ocean currents and dynamic obstacles. Ocean Engineering. 315. 119835–119835. 2 indexed citations
17.
Ning, Jun, et al.. (2023). COLREGs-compliant unmanned surface vehicles collision avoidance based on improved differential evolution algorithm. Expert Systems with Applications. 237. 121499–121499. 16 indexed citations
18.
Ning, Jun, et al.. (2023). Event-Triggered Based Trajectory Tracking Control of Under-Actuated Unmanned Surface Vehicle With State and Input Quantization. IEEE Transactions on Intelligent Vehicles. 9(2). 3127–3139. 37 indexed citations
19.
Ning, Jun, et al.. (2023). Formation Control for UAV-USVs Heterogeneous System with Collision Avoidance Performance. Journal of Marine Science and Engineering. 11(12). 2332–2332. 9 indexed citations
20.
Ning, Jun, et al.. (2020). COLREGs-Compliant Unmanned Surface Vehicles Collision Avoidance Based on Multi-Objective Genetic Algorithm. IEEE Access. 8. 190367–190377. 42 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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