Lei Gao

1.0k total citations
69 papers, 693 citations indexed

About

Lei Gao is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Lei Gao has authored 69 papers receiving a total of 693 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Computer Vision and Pattern Recognition, 20 papers in Signal Processing and 20 papers in Artificial Intelligence. Recurrent topics in Lei Gao's work include Face and Expression Recognition (14 papers), Blind Source Separation Techniques (13 papers) and Human Pose and Action Recognition (13 papers). Lei Gao is often cited by papers focused on Face and Expression Recognition (14 papers), Blind Source Separation Techniques (13 papers) and Human Pose and Action Recognition (13 papers). Lei Gao collaborates with scholars based in Canada, China and Ireland. Lei Gao's co-authors include Alan Bourke, J. Stuart Nelson, Ling Guan, Lin Qi, Naimul Khan, Wei Jiang, Xian-Feng Han, Liping Xiao, Jesse S. Jin and Mingjie Wang and has published in prestigious journals such as IEEE Access, Sensors and Remote Sensing.

In The Last Decade

Lei Gao

64 papers receiving 664 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lei Gao Canada 12 465 191 150 86 85 69 693
Massimo Camplani United Kingdom 17 700 1.5× 189 1.0× 90 0.6× 87 1.0× 137 1.6× 45 1.0k
Huiyuan Fu China 15 760 1.6× 127 0.7× 196 1.3× 52 0.6× 49 0.6× 55 1.0k
Zhiyong Yuan China 14 250 0.5× 73 0.4× 83 0.6× 54 0.6× 28 0.3× 65 666
Yeon-Ho Kim South Korea 9 656 1.4× 163 0.9× 216 1.4× 57 0.7× 36 0.4× 12 783
Shenghui Zhao China 13 431 0.9× 141 0.7× 212 1.4× 248 2.9× 372 4.4× 91 987
Sakshi Arora India 15 251 0.5× 275 1.4× 146 1.0× 67 0.8× 113 1.3× 44 898
Mouazma Batool Pakistan 10 459 1.0× 138 0.7× 135 0.9× 35 0.4× 60 0.7× 18 604
Henri Bouma Netherlands 13 360 0.8× 57 0.3× 201 1.3× 56 0.7× 40 0.5× 70 599
Jinbao Wang China 12 507 1.1× 87 0.5× 245 1.6× 29 0.3× 53 0.6× 35 827

Countries citing papers authored by Lei Gao

Since Specialization
Citations

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

Fields of papers citing papers by Lei Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lei Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Lei Gao. A scholar is included among the top collaborators of Lei Gao 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 Lei Gao. Lei Gao 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.
Gao, Lei, et al.. (2025). Mathematics-Inspired Models: A Green and Interpretable Learning Paradigm for Multimedia Computing. ACM Transactions on Multimedia Computing Communications and Applications. 21(7). 1–22.
2.
Gao, Lei, et al.. (2024). An Optimal Edge-weighted Graph Semantic Correlation Framework for Multi-view Feature Representation Learning. ACM Transactions on Multimedia Computing Communications and Applications. 20(7). 1–23.
3.
4.
Gao, Lei & Ling Guan. (2023). Interpretability of Machine Learning: Recent Advances and Future Prospects. IEEE Multimedia. 30(4). 105–118. 26 indexed citations
5.
Gao, Lei & Ling Guan. (2023). A Discriminant Information Theoretic Learning Framework for Multi-modal Feature Representation. ACM Transactions on Intelligent Systems and Technology. 14(3). 1–24. 2 indexed citations
6.
7.
Gao, Qinhe, et al.. (2022). Evaluation of Vehicle Camouflage Effectiveness Under a Complex Background Based on the Time-Limited Search Model. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15. 6133–6143. 1 indexed citations
8.
Gao, Lei, et al.. (2021). Hyperspectral Image Classification via Multi-Feature-Based Correlation Adaptive Representation. Remote Sensing. 13(7). 1253–1253. 3 indexed citations
9.
10.
Gao, Lei & Ling Guan. (2021). A Discriminative Vectorial Framework for Multi-Modal Feature Representation. IEEE Transactions on Multimedia. 24. 1503–1514. 13 indexed citations
11.
12.
Gao, Lei, et al.. (2020). A Multi-Stream Graph Convolutional Networks-Hidden Conditional Random Field Model for Skeleton-Based Action Recognition. IEEE Transactions on Multimedia. 23. 64–76. 54 indexed citations
13.
Kyan, Matthew, et al.. (2020). Discriminative Robust Head-Pose and Gaze Estimation Using Kernel-DMCCA Features Fusion. International Journal of Semantic Computing. 14(1). 107–135.
14.
Chen, Enqing, et al.. (2019). A Spatiotemporal Heterogeneous Two-Stream Network for Action Recognition. IEEE Access. 7. 57267–57275. 22 indexed citations
15.
Bai, Xiaoping, et al.. (2017). Navigation feature extraction method for rice pickup harvester using support vector machine.. 26(2). 96–102. 1 indexed citations
16.
Gao, Lei, Alan Bourke, & J. Stuart Nelson. (2013). Sensor Positioning for Activity Recognition Using Multiple Accelerometer-Based Sensors.. The European Symposium on Artificial Neural Networks. 6 indexed citations
17.
Gao, Lei, Lin Qi, & Ling Guan. (2013). Selecting discriminative features with discriminative multiple canonical correlation analysis for multi-feature information fusion. 1–8. 1 indexed citations
18.
19.
Gao, Lei, et al.. (2011). A distributed soil temperature measurement system with high spatial resolution based on BOTDR. Optica Applicata. 41(1). 319–28. 5 indexed citations
20.
Zhu, Chengjun, et al.. (2008). License plate location based on Tophat transformation and text texture. Beijing Hangkong Hangtian Daxue xuebao. 34(5). 541. 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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