Zheping Yan

3.9k total citations
217 papers, 2.9k citations indexed

About

Zheping Yan is a scholar working on Ocean Engineering, Control and Systems Engineering and Computer Networks and Communications. According to data from OpenAlex, Zheping Yan has authored 217 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 144 papers in Ocean Engineering, 107 papers in Control and Systems Engineering and 66 papers in Computer Networks and Communications. Recurrent topics in Zheping Yan's work include Underwater Vehicles and Communication Systems (142 papers), Adaptive Control of Nonlinear Systems (92 papers) and Distributed Control Multi-Agent Systems (56 papers). Zheping Yan is often cited by papers focused on Underwater Vehicles and Communication Systems (142 papers), Adaptive Control of Nonlinear Systems (92 papers) and Distributed Control Multi-Agent Systems (56 papers). Zheping Yan collaborates with scholars based in China, Singapore and United Kingdom. Zheping Yan's co-authors include Jiajia Zhou, Jialing Tang, Jian Xu, Wei Zhang, Jinzhong Zhang, Man Wang, Haomiao Yu, Zewen Yang, Jia Zeng and Yi Wu and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Zheping Yan

206 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zheping Yan China 28 1.6k 1.5k 924 751 630 217 2.9k
Xianbo Xiang China 34 2.3k 1.4× 2.6k 1.8× 860 0.9× 779 1.0× 801 1.3× 221 4.4k
Weisheng Yan China 30 856 0.5× 1.9k 1.3× 1.4k 1.5× 608 0.8× 564 0.9× 222 3.4k
Xianku Zhang China 32 1.6k 1.0× 2.4k 1.6× 730 0.8× 399 0.5× 535 0.8× 231 3.4k
Ye Li China 24 1.2k 0.7× 667 0.4× 335 0.4× 521 0.7× 584 0.9× 171 2.0k
Isaac Kaminer United States 32 557 0.3× 1.7k 1.2× 1.0k 1.1× 1.2k 1.6× 1.9k 3.1× 171 3.5k
Xiang Yu China 36 907 0.6× 3.2k 2.2× 1.1k 1.2× 988 1.3× 1.5k 2.4× 183 5.4k
Xiaoyuan Luo China 35 1.1k 0.6× 1.8k 1.2× 2.0k 2.2× 325 0.4× 441 0.7× 307 4.1k
Chao Shen China 16 765 0.5× 1.2k 0.8× 409 0.4× 413 0.5× 205 0.3× 57 1.8k
Yoshiaki Kuwata United States 24 450 0.3× 942 0.6× 515 0.6× 1.7k 2.2× 980 1.6× 66 2.7k
Yunsheng Fan China 24 729 0.4× 1.1k 0.7× 266 0.3× 337 0.4× 359 0.6× 202 1.8k

Countries citing papers authored by Zheping Yan

Since Specialization
Citations

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

Fields of papers citing papers by Zheping Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zheping Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Zheping Yan. A scholar is included among the top collaborators of Zheping Yan 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 Zheping Yan. Zheping Yan 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.
2.
Xu, Jian, et al.. (2024). Multi-strategy-based artificial bee colony algorithm for AUV path planning with angle constraints. Ocean Engineering. 312. 119155–119155. 9 indexed citations
3.
Yan, Zheping, et al.. (2024). A novel method for underactuated UUV tracking unknown contour based on forward-looking sonar. Ocean Engineering. 301. 117545–117545. 1 indexed citations
4.
Wu, Di, et al.. (2024). A feature detection network based on self-attention mechanism for underwater image processing. Ocean Engineering. 311. 118949–118949. 1 indexed citations
5.
Xu, Jian, et al.. (2023). A general motion control framework for an autonomous underwater vehicle through deep reinforcement learning and disturbance observers. Journal of the Franklin Institute. 360(8). 5728–5758. 4 indexed citations
6.
Wu, Wenhua, et al.. (2023). An underwater docking system based on UUV and recovery mother ship: design and experiment. Ocean Engineering. 281. 114767–114767. 16 indexed citations
7.
Yan, Zheping, Jinzhong Zhang, Jia Zeng, & Jialing Tang. (2022). Three-dimensional path planning for autonomous underwater vehicles based on a whale optimization algorithm. Ocean Engineering. 250. 111070–111070. 64 indexed citations
8.
Yan, Zheping, et al.. (2021). Formation control of unmanned underwater vehicles using local sensing means in absence of follower position information. International Journal of Advanced Robotic Systems. 18(1). 7 indexed citations
9.
Yan, Zheping, Jinzhong Zhang, Jia Zeng, & Jialing Tang. (2020). Nature-inspired approach: An enhanced whale optimization algorithm for global optimization. Mathematics and Computers in Simulation. 185. 17–46. 64 indexed citations
10.
Yan, Zheping, Jinzhong Zhang, Zewen Yang, & Jialing Tang. (2020). Two‐dimensional optimal path planning for autonomous underwater vehicle using a whale optimization algorithm. Concurrency and Computation Practice and Experience. 33(9). 23 indexed citations
11.
Yan, Zheping, Jinzhong Zhang, & Jialing Tang. (2020). Modified whale optimization algorithm for underwater image matching in a UUV vision system. Multimedia Tools and Applications. 80(1). 187–213. 12 indexed citations
12.
Chen, Tao, et al.. (2019). Trajectory Tracking Control of an Underactuated AUV Based on Backstepping Sliding Mode With State Prediction. IEEE Access. 7. 181983–181993. 35 indexed citations
13.
Yan, Zheping, Man Wang, & Jian Xu. (2019). Integrated guidance and control strategy for homing of unmanned underwater vehicles. Journal of the Franklin Institute. 356(7). 3831–3848. 30 indexed citations
14.
Yan, Zheping, et al.. (2019). Autonomous Underwater Vehicle Vision Guided Docking Experiments Based on L-Shaped Light Array. IEEE Access. 7. 72567–72576. 44 indexed citations
15.
Yan, Zheping, et al.. (2019). Trajectory Tracking Control of UUV Based on Backstepping Sliding Mode With Fuzzy Switching Gain in Diving Plane. IEEE Access. 7. 166788–166795. 24 indexed citations
16.
Yan, Zheping, Man Wang, & Jian Xu. (2018). Global Adaptive Neural Network Control of Underactuated Autonomous Underwater Vehicles with Parametric Modeling Uncertainty. Asian Journal of Control. 21(3). 1342–1354. 40 indexed citations
17.
Yan, Zheping, et al.. (2018). Research status of Markov theory in unmanned systems. SHILAP Revista de lepidopterología. 2 indexed citations
18.
Yan, Zheping, Bing Hao, Wei Zhang, & Simon X. Yang. (2016). DUBINS-RRT PATH PLANNING AND HEADING-VECTOR CONTROL GUIDANCE FOR A UUV RECOVERY. International Journal of Robotics and Automation. 31(3). 7 indexed citations
19.
Yan, Zheping. (2011). Three-dimensional path tracking control for an underactuated AUV based on discrete-time sliding mode prediction. Kongzhi yu juece. 8 indexed citations
20.
Yan, Zheping, et al.. (2010). A hydrodynamic coefficients reckon method and its application to robust heading control for underwater robot. Chinese Control Conference. 3219–3223. 1 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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