Tao Lü

5.3k total citations · 2 hit papers
254 papers, 3.6k citations indexed

About

Tao Lü is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Tao Lü has authored 254 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 159 papers in Computer Vision and Pattern Recognition, 62 papers in Media Technology and 18 papers in Artificial Intelligence. Recurrent topics in Tao Lü's work include Advanced Image Processing Techniques (89 papers), Advanced Vision and Imaging (53 papers) and Image and Signal Denoising Methods (52 papers). Tao Lü is often cited by papers focused on Advanced Image Processing Techniques (89 papers), Advanced Vision and Imaging (53 papers) and Image and Signal Denoising Methods (52 papers). Tao Lü collaborates with scholars based in China, United States and United Kingdom. Tao Lü's co-authors include Junjun Jiang, Zhongyuan Wang, Kui Jiang, Peng Yi, Yanduo Zhang, Jiaming Wang, Jiayi Ma, Guangcheng Wang, Zhen Han and Fanqianhui Yu and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and The Science of The Total Environment.

In The Last Decade

Tao Lü

230 papers receiving 3.5k citations

Hit Papers

Edge-Enhanced GAN for Remote Sensing Image Superresolution 2019 2026 2021 2023 2019 2024 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 Lü China 27 2.1k 1.2k 398 236 222 254 3.6k
Lu Yu China 37 4.3k 2.0× 945 0.8× 150 0.4× 312 1.3× 408 1.8× 275 5.5k
Jian Yao China 30 2.2k 1.0× 645 0.6× 300 0.8× 713 3.0× 367 1.7× 156 4.4k
Haozhi Qi United States 9 3.4k 1.6× 727 0.6× 146 0.4× 608 2.6× 791 3.6× 17 4.6k
Xin Yang China 27 2.4k 1.1× 540 0.5× 114 0.3× 251 1.1× 587 2.6× 230 3.7k
Ding Liu China 32 3.8k 1.8× 1.5k 1.3× 103 0.3× 277 1.2× 543 2.4× 122 5.7k
Rui Yao China 25 1.6k 0.8× 648 0.6× 100 0.3× 281 1.2× 535 2.4× 171 2.8k
Qiuping Jiang China 34 3.3k 1.6× 1.4k 1.2× 70 0.2× 221 0.9× 412 1.9× 211 4.4k
Qiang Wang China 28 697 0.3× 577 0.5× 308 0.8× 119 0.5× 168 0.8× 249 2.5k
Eduardo A. B. da Silva Brazil 26 1.8k 0.9× 448 0.4× 179 0.4× 244 1.0× 435 2.0× 178 3.7k
Du‐Ming Tsai Taiwan 41 2.5k 1.2× 1.1k 1.0× 592 1.5× 218 0.9× 421 1.9× 113 4.7k

Countries citing papers authored by Tao Lü

Since Specialization
Citations

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

Fields of papers citing papers by Tao Lü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tao Lü

This figure shows the co-authorship network connecting the top 25 collaborators of Tao Lü. A scholar is included among the top collaborators of Tao Lü 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 Lü. Tao Lü 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.
Zhang, Xianhong, et al.. (2024). Small object detection by Edge-aware Neural Network. Engineering Applications of Artificial Intelligence. 138. 109406–109406. 3 indexed citations
2.
Lü, Tao, et al.. (2024). Structure-Texture Dual Preserving for Remote Sensing Image Super Resolution. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 5527–5540. 6 indexed citations
3.
Wang, Zhongyuan, et al.. (2024). Implicit Mutual Learning With Dual-Branch Networks for Face Super-Resolution. IEEE Transactions on Biometrics Behavior and Identity Science. 6(2). 182–194. 4 indexed citations
4.
Wang, Jiaming, et al.. (2024). A Deep Error Removal Network for Pan-Sharpening. IEEE Geoscience and Remote Sensing Letters. 21. 1–5. 5 indexed citations
5.
Wang, Zhongyuan, et al.. (2024). OASG-Net: Occlusion Aware and Structure-Guided Network for Face De-Occlusion. IEEE Transactions on Biometrics Behavior and Identity Science. 7(2). 234–245.
6.
Feng, Yunwen, et al.. (2023). Landing gear condition monitoring based on back propagation neural network-based on multi-strategy cooperative optimization. Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University. 41(2). 264–273. 1 indexed citations
7.
Wu, Yuntao, et al.. (2023). Remote Sensing Image Super-Resolution With Residual Split Attention Mechanism. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 16. 1–13. 8 indexed citations
8.
Lü, Tao, et al.. (2022). Few-Shot Semantic Segmentation via Frequency Guided Neural Network. IEEE Signal Processing Letters. 29. 1092–1096. 12 indexed citations
9.
Cutler, Harvey, et al.. (2022). Estimating the economic impacts of improved wind speed forecasts in the United States electricity sector. Journal of Renewable and Sustainable Energy. 14(3). 8 indexed citations
10.
Wang, Jiaming, Zhenfeng Shao, Xiao Huang, et al.. (2022). From Artifact Removal to Super-Resolution. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–15. 20 indexed citations
11.
Yao, Feng, Jiayi Ma, Junjun Jiang, et al.. (2022). Feature Matching for Remote-Sensing Image Registration via Neighborhood Topological and Affine Consistency. Remote Sensing. 14(11). 2606–2606. 9 indexed citations
12.
Lü, Tao, et al.. (2022). Classifying Facial Regions for Face Hallucination. IEEE Signal Processing Letters. 29. 2392–2396. 1 indexed citations
13.
Wang, Jiaming, Zhenfeng Shao, Xiao Huang, et al.. (2022). Pan-Sharpening via Deep Locally Linear Embedding Residual Network. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–13. 11 indexed citations
14.
Wang, Jiaming, Zhenfeng Shao, Xiao Huang, Tao Lü, & Ruiqian Zhang. (2021). A Dual-Path Fusion Network for Pan-Sharpening. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–14. 44 indexed citations
15.
Shao, Zhenfeng, Jiaming Wang, Tao Lü, et al.. (2021). Internal and external spatial–temporal constraints for person reidentification. Journal of Visual Communication and Image Representation. 80. 103302–103302. 3 indexed citations
16.
Yang, Lifang, et al.. (2020). Recurrent MADDPG for Object Detection and Assignment in Combat Tasks. IEEE Access. 8. 163334–163343. 24 indexed citations
17.
Jiang, Kui, Zhongyuan Wang, Peng Yi, et al.. (2019). Edge-Enhanced GAN for Remote Sensing Image Superresolution. IEEE Transactions on Geoscience and Remote Sensing. 57(8). 5799–5812. 416 indexed citations breakdown →
18.
Lü, Tao, et al.. (2019). Object point cloud modeling method based on improved SIFT-ICP algorithm. 29(8). 750–757. 2 indexed citations
19.
Lü, Tao, et al.. (2018). The prime spectrum of the algebra $\mathbb K_q[X,Y]\rtimes U_q(\mathfrak {sl}_2)$ and a classification of simple weight modules. Journal of Noncommutative Geometry. 12(3). 889–946. 2 indexed citations
20.
Zhou, Jizhong, Chaoying Tang, & Tao Lü. (2013). Institutional design and operation for building up the innovative enterprises in China. Portland International Conference on Management of Engineering and Technology. 759–767. 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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