Ling Mei

423 total citations
14 papers, 289 citations indexed

About

Ling Mei is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Ocean Engineering. According to data from OpenAlex, Ling Mei has authored 14 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 3 papers in Aerospace Engineering and 2 papers in Ocean Engineering. Recurrent topics in Ling Mei's work include Video Surveillance and Tracking Methods (7 papers), Advanced Vision and Imaging (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Ling Mei is often cited by papers focused on Video Surveillance and Tracking Methods (7 papers), Advanced Vision and Imaging (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Ling Mei collaborates with scholars based in China, South Africa and Canada. Ling Mei's co-authors include Zhiwen Fan, Xinghao Ding, Yue Huang, Xueyang Fu, Jianhuang Lai, Xiaohua Xie, Zhanxiang Feng, Yi Xiong, Zeyu Chen and Shiqian Wu and has published in prestigious journals such as Remote Sensing, Neurocomputing and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Ling Mei

13 papers receiving 284 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ling Mei China 6 272 93 34 20 18 14 289
Laurent Caraffa France 6 416 1.5× 236 2.5× 18 0.5× 32 1.6× 5 0.3× 12 461
H. Nanda United States 6 222 0.8× 40 0.4× 63 1.9× 27 1.4× 9 0.5× 9 247
Tao Gao China 9 202 0.7× 106 1.1× 70 2.1× 7 0.3× 17 0.9× 34 287
Xinpu Deng China 6 184 0.7× 81 0.9× 45 1.3× 6 0.3× 22 1.2× 21 240
Reid Christian Bowers United States 2 316 1.2× 29 0.3× 44 1.3× 19 0.9× 15 0.8× 2 346
Zhelun Shen China 8 310 1.1× 76 0.8× 65 1.9× 10 0.5× 20 1.1× 16 340
Yu-Jhe Li United States 6 177 0.7× 21 0.2× 48 1.4× 6 0.3× 19 1.1× 9 241
Chien-Chuan Huang Taiwan 6 269 1.0× 123 1.3× 9 0.3× 2 0.1× 9 0.5× 11 305
Ziteng Cui China 5 174 0.6× 37 0.4× 63 1.9× 3 0.1× 5 0.3× 9 220
Yufei Lin China 9 284 1.0× 88 0.9× 7 0.2× 11 0.6× 36 2.0× 10 337

Countries citing papers authored by Ling Mei

Since Specialization
Citations

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

Fields of papers citing papers by Ling Mei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Mei

This figure shows the co-authorship network connecting the top 25 collaborators of Ling Mei. A scholar is included among the top collaborators of Ling Mei 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 Ling Mei. Ling Mei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Mei, Ling, Yiwei Cheng, Hongxu Chen, Lei Jia, & Yaowen Yu. (2025). Unsupervised Aerial-Ground Re-Identification from Pedestrian to Group for UAV-Based Surveillance. Drones. 9(4). 244–244. 1 indexed citations
2.
3.
Xiong, Yi, et al.. (2024). More Quickly-RRT*: Improved Quick Rapidly-exploring Random Tree Star algorithm based on optimized sampling point with better initial solution and convergence rate. Engineering Applications of Artificial Intelligence. 133. 108246–108246. 25 indexed citations
4.
Mei, Ling, et al.. (2024). Crowd Density Estimation via Global Crowd Collectiveness Metric. Drones. 8(11). 616–616. 2 indexed citations
5.
Wu, Hongjie, et al.. (2024). Self-supervised Domain Adaptation with Significance-Oriented Masking for Pelvic Organ Prolapse detection. Pattern Recognition Letters. 185. 94–100.
6.
Mei, Ling, et al.. (2023). Learning Domain-Adaptive Landmark Detection-Based Self-Supervised Video Synchronization for Remote Sensing Panorama. Remote Sensing. 15(4). 953–953. 3 indexed citations
7.
Pan, Chao, et al.. (2023). Visual Attention-Guided Weighted Naïve Bayes for Behavior Intention Inference. 569–574. 1 indexed citations
8.
Mei, Ling, Jianhuang Lai, Zhanxiang Feng, & Xiaohua Xie. (2021). Open-World Group Retrieval with Ambiguity Removal: A Benchmark. 584–591. 5 indexed citations
9.
Mei, Ling, Jianhuang Lai, Zhanxiang Feng, & Xiaohua Xie. (2020). From pedestrian to group retrieval via siamese network and correlation. Neurocomputing. 412. 447–460. 16 indexed citations
10.
Mei, Ling, et al.. (2019). Illumination-Invariance Optical Flow Estimation Using Weighted Regularization Transform. IEEE Transactions on Circuits and Systems for Video Technology. 30(2). 495–508. 21 indexed citations
11.
Mei, Ling, et al.. (2019). Measuring Crowd Collectiveness via Global Motion Correlation. 1222–1231. 9 indexed citations
12.
Mei, Ling, Zeyu Chen, & Jianhuang Lai. (2018). Geodesic‐based probability propagation for efficient optical flow. Electronics Letters. 54(12). 758–760. 7 indexed citations
13.
Fu, Xueyang, Zhiwen Fan, Ling Mei, Yue Huang, & Xinghao Ding. (2017). Two-step approach for single underwater image enhancement. 789–794. 195 indexed citations
14.
Feng, Zhanxiang, et al.. (2016). Face hallucination by deep traversal network. 5. 3276–3281. 2 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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2026