Chaoquan Tang

786 total citations
47 papers, 538 citations indexed

About

Chaoquan Tang is a scholar working on Mechanical Engineering, Biomedical Engineering and Control and Systems Engineering. According to data from OpenAlex, Chaoquan Tang has authored 47 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Mechanical Engineering, 16 papers in Biomedical Engineering and 15 papers in Control and Systems Engineering. Recurrent topics in Chaoquan Tang's work include Modular Robots and Swarm Intelligence (9 papers), Robotic Locomotion and Control (9 papers) and Soft Robotics and Applications (8 papers). Chaoquan Tang is often cited by papers focused on Modular Robots and Swarm Intelligence (9 papers), Robotic Locomotion and Control (9 papers) and Soft Robotics and Applications (8 papers). Chaoquan Tang collaborates with scholars based in China, Japan and Australia. Chaoquan Tang's co-authors include Menggang Li, Hua Zhu, Shaoze You, Gongbo Zhou, Zhenzhi He, Ping Zhou, Zhencai Zhu, Xin Ding, Zhencai Zhu and Lei Wang and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Geoscience and Remote Sensing and IEEE Access.

In The Last Decade

Chaoquan Tang

40 papers receiving 527 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chaoquan Tang China 12 218 186 149 137 96 47 538
Zhichao You China 11 351 1.6× 141 0.8× 146 1.0× 136 1.0× 90 0.9× 28 647
Farzad A. Shirazi Iran 13 257 1.2× 132 0.7× 137 0.9× 232 1.7× 49 0.5× 52 607
Min Zeng China 13 241 1.1× 129 0.7× 58 0.4× 162 1.2× 62 0.6× 52 621
Jiyou Fei China 12 295 1.4× 47 0.3× 94 0.6× 100 0.7× 131 1.4× 53 639
Zdzisław Gosiewski Poland 14 187 0.9× 85 0.5× 182 1.2× 315 2.3× 43 0.4× 74 536
Anhua Chen China 14 322 1.5× 181 1.0× 51 0.3× 98 0.7× 161 1.7× 44 608
Sangdeok Park South Korea 13 105 0.5× 73 0.4× 180 1.2× 250 1.8× 270 2.8× 62 616
Van-Duc Phan Vietnam 16 86 0.4× 438 2.4× 177 1.2× 147 1.1× 27 0.3× 79 787
Jingtao Lei China 8 244 1.1× 133 0.7× 38 0.3× 89 0.6× 74 0.8× 32 429

Countries citing papers authored by Chaoquan Tang

Since Specialization
Citations

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

Fields of papers citing papers by Chaoquan Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaoquan Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Chaoquan Tang. A scholar is included among the top collaborators of Chaoquan Tang 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 Chaoquan Tang. Chaoquan Tang 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.
Li, Menggang, et al.. (2025). CSAInvNet: A Multinetwork Collaborative Deep Learning Framework for GPR-Based Joint 3-D Inversion Imaging of Coal Seam Anomalies. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–16. 1 indexed citations
2.
Tang, Hongwei, Chaoquan Tang, Menggang Li, & Gongbo Zhou. (2024). A mobile data collection method for balancing energy consumption and delay in strip-shaped wireless sensor networks with branches. Ad Hoc Networks. 164. 103627–103627.
3.
Tang, Chaoquan, et al.. (2024). An Inspection Robot-Based Health Monitoring Method for Monorail Crane Tracks in Underground Coal Mines. IEEE Transactions on Instrumentation and Measurement. 73. 1–14. 3 indexed citations
4.
Tang, Chaoquan, et al.. (2024). S-shaped rolling gait designed using curve transformations of a snake robot for climbing on a bifurcated pipe. Bioinspiration & Biomimetics. 19(3). 36010–36010. 1 indexed citations
5.
Yang, Chunyu, Chaoquan Tang, Zhencai Zhu, et al.. (2023). Obstacle Avoidance for Trackless Rubber-Tired Vehicle Based on Risk-Grid Particle Swarm Optimization in Confined Space of Deep Well. IEEE Transactions on Vehicular Technology. 72(9). 11291–11303. 8 indexed citations
6.
Zhou, Gongbo, et al.. (2023). A Rigid Guide Rail Inspection Robot and Fault Detection Method for the Coal Mine Hoisting System. 5737–5742. 1 indexed citations
7.
Tang, Chaoquan, et al.. (2023). Inspection Robot and Wall Surface Detection Method for Coal Mine Wind Shaft. Applied Sciences. 13(9). 5662–5662. 3 indexed citations
8.
Tang, Chaoquan, et al.. (2023). Tactile perception of textile fabrics using event-related potentials and nonlinear methods. Textile Research Journal. 93(15-16). 3656–3665. 1 indexed citations
9.
Li, Menggang, Yuwang Liu, Eryi Hu, et al.. (2023). A Multimodal Robust Simultaneous Localization and Mapping Approach Driven by Geodesic Coordinates for Coal Mine Mobile Robots. Remote Sensing. 15(21). 5093–5093. 7 indexed citations
10.
Tang, Wei, et al.. (2023). Study of Stickiness Perception of Fabrics Based on Friction and ERP Method. Tribology Letters. 71(1). 2 indexed citations
11.
Li, Menggang, et al.. (2023). Research on Trajectory Planning and Tracking Methods for Coal Mine Mobile Robots. Applied Sciences. 13(17). 9789–9789.
12.
Tang, Chaoquan, et al.. (2023). Gait Generation Method of Snake Robot Based on Main Characteristic Curve Fitting. Biomimetics. 8(1). 105–105. 2 indexed citations
13.
Tang, Chaoquan, et al.. (2023). A laser-ultrasonic based sensor fusion framework for height measurement during the stone crushing process. Measurement Science and Technology. 35(3). 35008–35008.
14.
You, Shaoze, et al.. (2022). Tracking System for a Coal Mine Drilling Robot for Low-Illumination Environments. Applied Sciences. 13(1). 568–568. 5 indexed citations
15.
Yu, Qiang, et al.. (2022). Current Reconstruction by One-Step Compensation for Permanent Magnet Synchronous Motor With Fixed Sampling Interval in Position Sensorless Control. IEEE Transactions on Industrial Electronics. 70(1). 200–210. 23 indexed citations
16.
Yu, Qiang, et al.. (2022). A Magnetic Network Model and Harmonic Analysis of a Canned Switched Reluctance Machine. IEEE Transactions on Magnetics. 58(4). 1–8. 4 indexed citations
17.
Li, Menggang, et al.. (2018). Efficient Laser-Based 3D SLAM in Real Time for Coal Mine Rescue Robots. 971–976. 7 indexed citations
18.
Zhou, Gongbo, Zhencai Zhu, Chaoquan Tang, et al.. (2018). Health Monitoring for Balancing Tail Ropes of a Hoisting System Using a Convolutional Neural Network. Applied Sciences. 8(8). 1346–1346. 29 indexed citations
19.
Tang, Chaoquan. (2013). Self-adaptable Biomimetic Control Strategy for Snake Robots Based on Neural Stepping Stimulation Mechanism. Journal of Mechanical Engineering. 49(1). 53–53. 7 indexed citations
20.
Tang, Chaoquan, Shugen Ma, Bin Li, & Yuechao Wang. (2010). A cubic CPG model for snake-like robot to adapt to environment. Civil War Book Review. 15. 24–29. 5 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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