Xue Mei

7.4k total citations · 3 hit papers
97 papers, 4.7k citations indexed

About

Xue Mei is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Xue Mei has authored 97 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Computer Vision and Pattern Recognition, 16 papers in Computational Mechanics and 12 papers in Artificial Intelligence. Recurrent topics in Xue Mei's work include Video Surveillance and Tracking Methods (20 papers), Sparse and Compressive Sensing Techniques (12 papers) and Advanced Vision and Imaging (11 papers). Xue Mei is often cited by papers focused on Video Surveillance and Tracking Methods (20 papers), Sparse and Compressive Sensing Techniques (12 papers) and Advanced Vision and Imaging (11 papers). Xue Mei collaborates with scholars based in China, United States and Australia. Xue Mei's co-authors include Haibin Ling, Danil Prokhorov, Patrick T. Harker, Dacheng Tao, Lei Zhang, Sijia Yu, Fan Yang, Lorin M. Hitt, Yi Wu and Erik Blasch and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Management Science and Scientific Reports.

In The Last Decade

Xue Mei

88 papers receiving 4.5k citations

Hit Papers

Feature Pyramid and Hierarchical B... 2009 2026 2014 2020 2019 2011 2009 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Feature Pyramid and Hierarchical Boosting Network for Pavement Crack Detection
    2019 773 citations Fan Yang, Lei Zhang et al. IEEE Transactions on Intelligent Transportation Systems profile →
  2. Robust Visual Tracking and Vehicle Classification via Sparse Representation
    2011 632 citations Xue Mei, Haibin Ling IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
  3. Robust visual tracking using &#x00026;#x2113;<inf>1</inf> minimization
    2009 561 citations Xue Mei, Haibin Ling profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xue Mei China 27 2.6k 746 452 393 357 97 4.7k
Kaizhu Huang China 32 2.0k 0.8× 61 0.1× 164 0.4× 1.9k 4.8× 425 1.2× 250 4.7k
Millie Pant India 37 1.3k 0.5× 214 0.3× 183 0.4× 2.1k 5.3× 881 2.5× 250 5.7k
Zhang Xiong China 34 2.1k 0.8× 76 0.1× 205 0.5× 983 2.5× 375 1.1× 228 4.8k
Guohua Wu China 42 681 0.3× 149 0.2× 1.6k 3.5× 2.7k 6.9× 558 1.6× 223 6.3k
Tarik A. Rashid Iraq 33 452 0.2× 175 0.2× 83 0.2× 1.5k 3.8× 494 1.4× 193 3.8k
Bin Guo China 41 1.2k 0.5× 60 0.1× 193 0.4× 1.8k 4.6× 1.6k 4.3× 437 7.5k
Cheng Deng China 52 6.0k 2.3× 288 0.4× 278 0.6× 3.1k 7.8× 184 0.5× 299 8.6k
Andreas Ernst Australia 33 510 0.2× 69 0.1× 260 0.6× 362 0.9× 234 0.7× 131 5.3k
Weiguo Zhang China 26 389 0.1× 150 0.2× 824 1.8× 394 1.0× 186 0.5× 277 2.6k
S. L. Toral Spain 35 501 0.2× 50 0.1× 458 1.0× 482 1.2× 2.2k 6.1× 213 4.9k

Countries citing papers authored by Xue Mei

Since Specialization
Citations

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

Fields of papers citing papers by Xue Mei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xue Mei

This figure shows the co-authorship network connecting the top 25 collaborators of Xue Mei. A scholar is included among the top collaborators of Xue 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 Xue Mei. Xue Mei 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
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Chen, Maolin, et al.. (2025). Extraction of line Surge Arresters from UAV LiDAR point clouds based on multi-view structural features. International Journal of Applied Earth Observation and Geoinformation. 144. 104950–104950.
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Mei, Xue, et al.. (2024). Carbon emission trading scheme and corporate labor cost: Evidence from China. Heliyon. 10(14). e34465–e34465. 1 indexed citations
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Xu, Pengxiang, et al.. (2024). Detecting facial manipulated images via one-class domain generalization. Multimedia Systems. 30(1). 4 indexed citations
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Jiao, Wenhua, et al.. (2024). Digital twin for weld pool evolution by data-physics integrated driving. Journal of Manufacturing Processes. 131. 947–957. 5 indexed citations
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Dong, Jing, Kai Wu, Liu Chang, Xue Mei, & Wenwu Wang. (2023). Discriminative analysis dictionary learning with adaptively ordinal locality preserving. Neural Networks. 165. 298–309. 1 indexed citations
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Mei, Xue, et al.. (2021). Filtration network: A frame sampling strategy via deep reinforcement learning for video captioning. Journal of Intelligent & Fuzzy Systems. 40(6). 11085–11097. 3 indexed citations
11.
Yang, Fan, Lei Zhang, Sijia Yu, et al.. (2019). Feature Pyramid and Hierarchical Boosting Network for Pavement Crack Detection. IEEE Transactions on Intelligent Transportation Systems. 21(4). 1525–1535. 773 indexed citations breakdown →
12.
Ayawli, Ben Beklisi Kwame, Xue Mei, Mouquan Shen, Albert Yaw Appiah, & Frimpong Kyeremeh. (2019). Mobile Robot Path Planning in Dynamic Environment Using Voronoi Diagram and Computation Geometry Technique. IEEE Access. 7. 86026–86040. 44 indexed citations
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Shi, Yan, Guoliang Wang, Qimin Zhang, et al.. (2018). Classification of Sputum Sounds Using Artificial Neural Network and Wavelet Transform. International Journal of Biological Sciences. 14(8). 938–945. 14 indexed citations
14.
Di, Shuai, Honggang Zhang, Chun-Guang Li, et al.. (2017). Cross-Domain Traffic Scene Understanding: A Dense Correspondence-Based Transfer Learning Approach. IEEE Transactions on Intelligent Transportation Systems. 19(3). 745–757. 35 indexed citations
15.
Tsai, Yi‐Hsuan, et al.. (2017). Learning to tell brake and turn signals in videos using CNN-LSTM structure. 1–6. 16 indexed citations
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Mei, Xue. (2012). Shape Contour Feature Extraction and Recognition of Human Behavior Motion. Jisuanji gongcheng.
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Mei, Xue & Haibin Ling. (2011). Robust Visual Tracking and Vehicle Classification via Sparse Representation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 33(11). 2259–2272. 632 indexed citations breakdown →
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Mei, Xue, et al.. (2010). Cylindrical Calculation Research on Hyperbolic-Catadioptric Omni-directional Image. Jisuanji gongcheng. 1 indexed citations
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Mei, Xue. (2009). Algorithm study of feature extraction for image stitch. Jisuanji gongcheng yu sheji. 1 indexed citations
20.
Mei, Xue & Fatih Porikli. (2008). Joint tracking and video registration by factorial Hidden Markov models. Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. 973–976. 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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