Chaoqun Wang

3.0k total citations · 1 hit paper
147 papers, 2.1k citations indexed

About

Chaoqun Wang is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Chaoqun Wang has authored 147 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Computer Vision and Pattern Recognition, 54 papers in Aerospace Engineering and 37 papers in Electrical and Electronic Engineering. Recurrent topics in Chaoqun Wang's work include Robotics and Sensor-Based Localization (47 papers), Robotic Path Planning Algorithms (37 papers) and Advanced Vision and Imaging (10 papers). Chaoqun Wang is often cited by papers focused on Robotics and Sensor-Based Localization (47 papers), Robotic Path Planning Algorithms (37 papers) and Advanced Vision and Imaging (10 papers). Chaoqun Wang collaborates with scholars based in China, Hong Kong and Canada. Chaoqun Wang's co-authors include Max Q.‐H. Meng, Wenzheng Chi, Jiankun Wang, Chenming Li, Jiyu Cheng, Delong Zhu, Clarence W. de Silva, Teng Li, Danny Ho and Tingguang Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and Journal of The Electrochemical Society.

In The Last Decade

Chaoqun Wang

125 papers receiving 2.0k citations

Hit Papers

Neural RRT*: Learning-Based Optimal Path Planning 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chaoqun Wang China 25 1.1k 820 367 278 227 147 2.1k
Zhe Liu China 26 971 0.9× 918 1.1× 480 1.3× 332 1.2× 291 1.3× 216 2.6k
Yongbo Chen China 16 776 0.7× 800 1.0× 399 1.1× 203 0.7× 161 0.7× 45 1.7k
Lujia Wang Hong Kong 24 401 0.4× 330 0.4× 212 0.6× 417 1.5× 242 1.1× 82 1.5k
Yicheng Li China 21 975 0.9× 314 0.4× 161 0.4× 171 0.6× 204 0.9× 91 1.9k
Ruifeng Li China 21 630 0.6× 342 0.4× 561 1.5× 137 0.5× 165 0.7× 202 1.7k
Hongli Liu China 26 454 0.4× 383 0.5× 132 0.4× 737 2.7× 180 0.8× 208 2.1k
Yanlong Cao China 24 829 0.7× 235 0.3× 148 0.4× 211 0.8× 154 0.7× 117 2.2k
Kaiwei Wang China 28 1.7k 1.5× 534 0.7× 67 0.2× 525 1.9× 211 0.9× 230 3.2k
Chunxiang Wang China 24 864 0.8× 520 0.6× 119 0.3× 398 1.4× 220 1.0× 173 2.0k
Keyu Wu Singapore 22 407 0.4× 397 0.5× 368 1.0× 160 0.6× 217 1.0× 87 1.4k

Countries citing papers authored by Chaoqun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chaoqun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaoqun Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Chaoqun Wang. A scholar is included among the top collaborators of Chaoqun 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 Chaoqun Wang. Chaoqun 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.
Zhang, Xiang, et al.. (2025). ROLO‐SLAM: Rotation‐Optimized LiDAR‐Only SLAM in Uneven Terrain With Ground Vehicle. Journal of Field Robotics. 42(3). 880–902. 3 indexed citations
2.
Xu, Xuecheng, Sha Lu, Si Wang, et al.. (2025). Sparse Hierarchical LiDAR Bundle Adjustment for Online Collaborative Localization and Mapping. IEEE Robotics and Automation Letters. 10(6). 5561–5568.
3.
Zhou, Fengyu, et al.. (2025). Semi-Supervised Language-Conditioned Grasping With Curriculum-Scheduled Augmentation and Geometric Consistency. IEEE Robotics and Automation Letters. 10(4). 4021–4028.
4.
Bing, Zhenshan, et al.. (2025). Estimated Informed Anytime Search for Sampling-Based Planning via Adaptive Sampler. IEEE Transactions on Automation Science and Engineering. 22. 18580–18593. 1 indexed citations
5.
Wang, Chaoqun, et al.. (2025). Demystifying deep credit models in e-commerce lending: An explainable approach to consumer creditworthiness. Knowledge-Based Systems. 312. 113141–113141.
6.
Gu, Jason, et al.. (2025). LP-YOLO: An improved lightweight pedestrian detection algorithm based on YOLOv11. Digital Signal Processing. 165. 105343–105343. 1 indexed citations
7.
Wang, Zikai, Fan Zhang, Chaoqun Wang, et al.. (2025). QUADFormer: Learning-Based Detection of Cyber Attacks in Quadrotor UAVs. IEEE Transactions on Control Systems Technology. 34(1). 59–73.
8.
Wang, Chaoqun, et al.. (2024). Maresin2 negatively regulates DC’s maturation via the MAPK/NF-κB pathway in DCs. International Immunopharmacology. 140. 112785–112785. 1 indexed citations
9.
Fu, Tianyu, et al.. (2024). A robotic skill transfer learning framework of dynamic manipulation for fabric placement. Computers in Industry. 165. 104216–104216.
11.
Liu, Jin, et al.. (2024). FlingFlow: LLM-Driven Dynamic Strategies for Efficient Cloth Flattening. IEEE Robotics and Automation Letters. 9(10). 8714–8721. 2 indexed citations
12.
Liu, Jin, et al.. (2024). Infusing Multisource Heterogeneous Knowledge for Language-Conditioned Segmentation and Grasping. IEEE Transactions on Instrumentation and Measurement. 73. 1–11. 3 indexed citations
14.
Wen, Weisong, et al.. (2023). Dynamic Object-Aware LiDAR Odometry Aided by Joint Weightings Estimation in Urban Areas. IEEE Transactions on Intelligent Vehicles. 9(2). 3345–3359. 6 indexed citations
15.
Wu, Jin, et al.. (2022). LoPF: An Online LiDAR-Only Person-Following Framework. IEEE Transactions on Instrumentation and Measurement. 71. 1–13. 11 indexed citations
16.
Li, Teng, Chaoqun Wang, Max Q.‐H. Meng, & Clarence W. de Silva. (2021). Attention-Driven Active Sensing With Hybrid Neural Network for Environmental Field Mapping. IEEE Transactions on Automation Science and Engineering. 19(3). 2135–2152. 11 indexed citations
17.
Wu, Huijuan, Siqi Yang, Xinyu Liu, et al.. (2021). Simultaneous Extraction of Multi-Scale Structural Features and the Sequential Information With an End-To-End mCNN-HMM Combined Model for Fiber Distributed Acoustic Sensor. Journal of Lightwave Technology. 39(20). 6606–6616. 23 indexed citations
18.
Wang, Chaoqun, Delong Zhu, Teng Li, Max Q.‐H. Meng, & Clarence W. de Silva. (2019). Efficient Autonomous Robotic Exploration With Semantic Road Map in Indoor Environments. IEEE Robotics and Automation Letters. 4(3). 2989–2996. 46 indexed citations
19.
Wang, Chaoqun, Wen-Qing Huang, Lai Ling Tsang, et al.. (2015). Up-regulation of Bcl-2 by CD147 Through ERK Activation Results in Abnormal Cell Survival in Human Endometriosis. The Journal of Clinical Endocrinology & Metabolism. 100(7). E955–E963. 31 indexed citations
20.
Wang, Chaoqun. (2006). Detecting and tracking technology about IR stealth target. Infrared and Laser Engineering. 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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