Chenming Li

1.5k total citations · 1 hit paper
35 papers, 1.1k citations indexed

About

Chenming Li is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Chenming Li has authored 35 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 11 papers in Aerospace Engineering and 8 papers in Artificial Intelligence. Recurrent topics in Chenming Li's work include Robotic Path Planning Algorithms (12 papers), Robotics and Sensor-Based Localization (7 papers) and Advanced Neural Network Applications (6 papers). Chenming Li is often cited by papers focused on Robotic Path Planning Algorithms (12 papers), Robotics and Sensor-Based Localization (7 papers) and Advanced Neural Network Applications (6 papers). Chenming Li collaborates with scholars based in China, Hong Kong and Singapore. Chenming Li's co-authors include Max Q.‐H. Meng, Jiankun Wang, Chaoqun Wang, Wenzheng Chi, Taimoor Zahid, Kun Xu, Weimin Li, Yue Hu, Danny Ho and Yangxin Xu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Food Chemistry and IEEE Transactions on Industrial Electronics.

In The Last Decade

Chenming Li

30 papers receiving 1.1k 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
Chenming Li China 13 478 401 374 292 250 35 1.1k
S. Mukhopadhyay United Arab Emirates 17 369 0.8× 263 0.7× 340 0.9× 327 1.1× 346 1.4× 70 1.1k
Yi Yang China 20 691 1.4× 529 1.3× 146 0.4× 358 1.2× 351 1.4× 164 1.5k
Carlos Fernández Spain 17 420 0.9× 456 1.1× 150 0.4× 153 0.5× 169 0.7× 40 1.0k
Huei‐Yung Lin Taiwan 20 930 1.9× 196 0.5× 175 0.5× 393 1.3× 143 0.6× 168 1.5k
Oyas Wahyunggoro Indonesia 17 206 0.4× 288 0.7× 342 0.9× 160 0.5× 380 1.5× 143 1.1k
W.S. Wijesoma Singapore 16 518 1.1× 285 0.7× 226 0.6× 432 1.5× 382 1.5× 67 1.2k
Manuel Ocaña Spain 18 584 1.2× 192 0.5× 379 1.0× 378 1.3× 111 0.4× 75 1.3k
De Jong Yeong Ireland 5 212 0.4× 286 0.7× 142 0.4× 153 0.5× 116 0.5× 5 708
Yoichi Morales Japan 19 341 0.7× 223 0.6× 115 0.3× 231 0.8× 211 0.8× 41 871
Paolo Grisleri Italy 18 630 1.3× 483 1.2× 141 0.4× 194 0.7× 123 0.5× 27 966

Countries citing papers authored by Chenming Li

Since Specialization
Citations

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

Fields of papers citing papers by Chenming Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenming Li

This figure shows the co-authorship network connecting the top 25 collaborators of Chenming Li. A scholar is included among the top collaborators of Chenming Li 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 Chenming Li. Chenming Li 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.
Cai, Chengtao, et al.. (2025). SAD-YOLO: A Small Object Detector for Airport Optical Sensors Based on Improved YOLOv8. IEEE Sensors Journal. 25(11). 20513–20522.
2.
Zhou, Wentao, et al.. (2025). ADH-YOLO: a small object detection based on improved YOLOv8 for airport scene images in hazy weather. The Journal of Supercomputing. 81(3).
3.
Li, Chenming & Shiguang Liu. (2025). PredVSD: Video saliency prediction based on conditional diffusion model. Knowledge-Based Systems. 324. 113820–113820.
4.
Li, Chenming, et al.. (2025). Data integrity of food and machine learning: Strategies, advances and prospective. Food Chemistry. 480. 143831–143831. 3 indexed citations
5.
Li, Chuan, et al.. (2023). Prediction of human thermal comfort preference based on supervised learning. Journal of Thermal Biology. 112. 103484–103484. 14 indexed citations
6.
Li, Chenming & Xiuhong Chen. (2023). Future video frame prediction based on generative motion-assistant discriminative network. Applied Soft Computing. 135. 110028–110028. 6 indexed citations
7.
Li, Chenming, Fei Meng, Han Ma, Jiankun Wang, & Max Q.‐H. Meng. (2023). Relevant Region sampling strategy with adaptive heuristic for asymptotically optimal path planning. SHILAP Revista de lepidopterología. 3(3). 100113–100113. 8 indexed citations
8.
Li, Chenming, et al.. (2023). Rethinking Alignment and Uniformity in Unsupervised Image Semantic Segmentation. Proceedings of the AAAI Conference on Artificial Intelligence. 37(9). 11192–11200. 12 indexed citations
9.
Li, Chenming, Jiankun Wang, & Max Q.‐H. Meng. (2023). Focused Bidirectional Search Trees: A Bidirectional Optimal Fast Matching Method for Robot Path Planning. 2. 638–643.
10.
Li, Chenming, et al.. (2023). High-Resolution Characteristics of Near-field Coherent Sensing for Cardiac Monitoring. 1–3. 1 indexed citations
11.
Zhou, Haibo, et al.. (2022). Direct Visual Odometry by Fusing Luminosity and Depth Information. Journal of Physics Conference Series. 2203(1). 12004–12004. 1 indexed citations
12.
Wang, Chaoqun, Xiangyu Chen, Chenming Li, et al.. (2022). Chase and Track: Toward Safe and Smooth Trajectory Planning for Robotic Navigation in Dynamic Environments. IEEE Transactions on Industrial Electronics. 70(1). 604–613. 24 indexed citations
13.
Wang, Jiankun, Weinan Chen, Xiao Xiao, et al.. (2021). A survey of the development of biomimetic intelligence and robotics. SHILAP Revista de lepidopterología. 1. 100001–100001. 46 indexed citations
14.
Wang, Jiankun, Wenzheng Chi, Chenming Li, & Max Q.‐H. Meng. (2021). Efficient Robot Motion Planning Using Bidirectional-Unidirectional RRT Extend Function. IEEE Transactions on Automation Science and Engineering. 19(3). 1859–1868. 31 indexed citations
15.
Li, Tingguang, Danny Ho, Chenming Li, et al.. (2020). HouseExpo: A Large-scale 2D Indoor Layout Dataset for Learning-based Algorithms on Mobile Robots. 5839–5846. 37 indexed citations
16.
Zhou, Haibo, et al.. (2020). Analysis of Anchor-Based and Anchor-Free Object Detection Methods Based on Deep Learning. 1058–1065. 20 indexed citations
17.
Zhang, Liwei, et al.. (2019). Decreased Information Replacement of Working Memory After Sleep Deprivation: Evidence From an Event-Related Potential Study. Frontiers in Neuroscience. 13. 408–408. 37 indexed citations
18.
Wang, Chaoqun, Jiankun Wang, Chenming Li, et al.. (2019). Safe and Robust Mobile Robot Navigation in Uneven Indoor Environments. Sensors. 19(13). 2993–2993. 26 indexed citations
19.
Li, Chenming, et al.. (2014). An Automated Negotiation Protocol Based On Game Theory. 3(3). 111–118. 3 indexed citations
20.
Li, Chenming, Lizhong Xu, Chunxia Yu, & Xiaodong Wei. (2010). Measuring Concept Similarity of Heterogeneous Ontologies in Multi-angent System. Journal of Convergence Information Technology. 5(9). 246–256. 3 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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