Tao Lei

5.5k total citations · 4 hit papers
111 papers, 3.8k citations indexed

About

Tao Lei is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Tao Lei has authored 111 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Computer Vision and Pattern Recognition, 38 papers in Media Technology and 24 papers in Artificial Intelligence. Recurrent topics in Tao Lei's work include Remote-Sensing Image Classification (33 papers), Remote Sensing and Land Use (20 papers) and Advanced Neural Network Applications (19 papers). Tao Lei is often cited by papers focused on Remote-Sensing Image Classification (33 papers), Remote Sensing and Land Use (20 papers) and Advanced Neural Network Applications (19 papers). Tao Lei collaborates with scholars based in China, United Kingdom and Iceland. Tao Lei's co-authors include Asoke K. Nandi, Hongying Meng, Xiaohong Jia, Zhiyong Lv, Yanning Zhang, Shigang Liu, Risheng Wang, Bingtao Zhang, Jón Atli Benediktsson and Ruixia Cui and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Applied Materials & Interfaces and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Tao Lei

102 papers receiving 3.7k citations

Hit Papers

Medical image segmentation using deep learn... 2018 2026 2020 2023 2022 2018 2022 2023 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tao Lei China 31 1.4k 1.1k 906 526 405 111 3.8k
Bing Shuai Singapore 17 2.4k 1.7× 411 0.4× 1.6k 1.7× 172 0.3× 425 1.0× 31 5.8k
Shiv Ram Dubey India 31 1.9k 1.4× 1.6k 1.4× 825 0.9× 885 1.7× 180 0.4× 69 4.7k
Zhenhua Wang China 15 2.6k 1.9× 399 0.4× 1.4k 1.5× 136 0.3× 422 1.0× 50 6.0k
Fan Liu China 22 1.4k 1.0× 487 0.4× 1.1k 1.2× 170 0.3× 205 0.5× 113 4.2k
Jason Kuen United States 14 2.0k 1.4× 314 0.3× 1.4k 1.5× 132 0.3× 380 0.9× 24 5.3k
Yang Zhao China 25 2.8k 2.0× 643 0.6× 966 1.1× 123 0.2× 283 0.7× 142 4.7k
Yongjun Bao China 20 3.7k 2.6× 1.1k 1.0× 1.4k 1.6× 237 0.5× 588 1.5× 56 6.1k
Jiuxiang Gu United States 16 2.0k 1.4× 287 0.3× 1.6k 1.8× 129 0.2× 374 0.9× 42 5.3k

Countries citing papers authored by Tao Lei

Since Specialization
Citations

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

Fields of papers citing papers by Tao Lei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tao Lei

This figure shows the co-authorship network connecting the top 25 collaborators of Tao Lei. A scholar is included among the top collaborators of Tao Lei 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 Tao Lei. Tao Lei 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.
Lei, Tao, et al.. (2025). U-TransCNN: A U-shape transformer-CNN fusion model for underwater image enhancement. Displays. 88. 103047–103047. 3 indexed citations
2.
Nandi, Asoke K., Ru Zhang, Tao Zhao, & Tao Lei. (2025). Machine learning and Big Data in deep underground engineering. Brunel University Research Archive (BURA) (Brunel University London). 4(1). 1–2. 1 indexed citations
3.
Liu, Tongfei, et al.. (2025). Hierarchical Feature Alignment-based Progressive Addition Network for Multimodal Change Detection. Pattern Recognition. 162. 111355–111355. 6 indexed citations
4.
Du, Xiaogang, et al.. (2025). MSD-EMA: Multiscale Decoupled Expectation–Maximization Attention for Polyp Segmentation. IEEE Transactions on Instrumentation and Measurement. 74. 1–13. 1 indexed citations
5.
Lei, Tao, et al.. (2025). SLAFormer: Skeleton-Guided Large-Kernel Attention Transformer for Road Change Detection. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–15.
6.
Lei, Tao, et al.. (2025). Adaptive feature selection-based feature reconstruction network for few-shot learning. Pattern Recognition. 171. 112289–112289.
7.
Lei, Tao, et al.. (2024). Balanced feature fusion collaborative training for semi-supervised medical image segmentation. Pattern Recognition. 157. 110856–110856. 8 indexed citations
8.
Lv, Zhiyong, Pengfei Zhang, Linfu Xie, Jón Atli Benediktsson, & Tao Lei. (2024). Iterative Sample Generation and Balance Approach for Improving Hyperspectral Remote Sensing Imagery Classification With Deep Learning Network. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–13. 5 indexed citations
9.
Liu, Tongfei, Tao Lei, Yingbo Wang, et al.. (2024). AEKAN: Exploring Superpixel-Based AutoEncoder Kolmogorov-Arnold Network for Unsupervised Multimodal Change Detection. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–14. 10 indexed citations
10.
Lv, Zhiyong, et al.. (2024). Cross‐attention neural network for land cover change detection with remote sensing images. The Photogrammetric Record. 39(186). 412–434. 1 indexed citations
11.
Lv, Zhiyong, et al.. (2024). Spatial–Spectral Similarity Based on Adaptive Region for Landslide Inventory Mapping With Remote-Sensed Images. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–11. 9 indexed citations
12.
Yao, L, et al.. (2024). Bearing fault diagnosis based on transfer learning with dual-flow manifold ResNet and improved CapsNet. Measurement Science and Technology. 35(7). 76123–76123. 8 indexed citations
13.
Yang, Shuangming, Yanwei Pang, Haowen Wang, et al.. (2023). Spike-driven multi-scale learning with hybrid mechanisms of spiking dendrites. Neurocomputing. 542. 126240–126240. 47 indexed citations
14.
Lv, Zhiyong, Pengfei Zhang, Weiwei Sun, et al.. (2023). Sample Iterative Enhancement Approach for Improving Classification Performance of Hyperspectral Imagery. IEEE Geoscience and Remote Sensing Letters. 21. 1–5. 17 indexed citations
15.
Tan, Xin, et al.. (2023). Efficient Dynamic Reconfigurable CNN Accelerator for Edge Intelligence Computing on FPGA. Information. 14(3). 194–194. 9 indexed citations
16.
Yang, Shuangming, Jiang Wang, Bin Deng, et al.. (2022). SAM: A Unified Self-Adaptive Multicompartmental Spiking Neuron Model for Learning With Working Memory. Frontiers in Neuroscience. 16. 850945–850945. 62 indexed citations
17.
Liu, Tongfei, et al.. (2019). Novel Adaptive Histogram Trend Similarity Approach for Land Cover Change Detection by Using Bitemporal Very-High-Resolution Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 57(12). 9554–9574. 75 indexed citations
18.
Lei, Tao, Xiaohong Jia, Tongliang Liu, et al.. (2019). Adaptive Morphological Reconstruction for Seeded Image Segmentation. Brunel University Research Archive (BURA) (Brunel University London). 62 indexed citations
19.
Hu, Chao, Fang Liu, Haizhen Xu, Rongliang Shi, & Tao Lei. (2014). Virtual impedance design of virtual synchronous generation in microgrid. 200–204. 2 indexed citations
20.
Wang, Xiaopeng, et al.. (2013). Wolfberry classification method based on machine vision. Computer Engineering and Applications Journal. 49(24). 16–18. 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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