Wen Lu

2.6k total citations
95 papers, 1.6k citations indexed

About

Wen Lu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Wen Lu has authored 95 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Computer Vision and Pattern Recognition, 48 papers in Media Technology and 8 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Wen Lu's work include Image and Video Quality Assessment (50 papers), Advanced Image Fusion Techniques (35 papers) and Visual Attention and Saliency Detection (29 papers). Wen Lu is often cited by papers focused on Image and Video Quality Assessment (50 papers), Advanced Image Fusion Techniques (35 papers) and Visual Attention and Saliency Detection (29 papers). Wen Lu collaborates with scholars based in China, United Kingdom and Singapore. Wen Lu's co-authors include Xinbo Gao, Jiachen Yang, Lihuo He, Shuai Xiao, Xuelong Li, Bin Jiang, Dacheng Tao, Qinggang Meng, Xiaodan Zhang and Lihuo He and has published in prestigious journals such as IEEE Transactions on Image Processing, Optics Letters and IEEE Access.

In The Last Decade

Wen Lu

84 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wen Lu China 23 1.3k 548 182 154 84 95 1.6k
Yanjiang Wang China 22 770 0.6× 281 0.5× 225 1.2× 336 2.2× 74 0.9× 185 1.7k
Mylène C. Q. Farias Brazil 19 1.1k 0.9× 292 0.5× 102 0.6× 53 0.3× 160 1.9× 140 1.4k
P. Kruizinga Netherlands 7 605 0.5× 217 0.4× 102 0.6× 152 1.0× 55 0.7× 17 927
Gabriela Csurka France 19 1.1k 0.9× 137 0.3× 150 0.8× 355 2.3× 53 0.6× 59 1.5k
Miao Zhang China 25 1.7k 1.4× 358 0.7× 329 1.8× 134 0.9× 19 0.2× 69 2.2k
Lin Qi China 21 574 0.5× 234 0.4× 62 0.3× 120 0.8× 27 0.3× 113 1.3k
Junyong You Norway 18 1.0k 0.8× 326 0.6× 82 0.5× 37 0.2× 183 2.2× 53 1.2k
Shiguang Liu China 21 726 0.6× 186 0.3× 39 0.2× 90 0.6× 79 0.9× 134 1.2k
Vassilios Vonikakis Singapore 13 593 0.5× 147 0.3× 73 0.4× 142 0.9× 42 0.5× 29 834

Countries citing papers authored by Wen Lu

Since Specialization
Citations

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

Fields of papers citing papers by Wen Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wen Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Wen Lu. A scholar is included among the top collaborators of Wen Lu 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 Wen Lu. Wen Lu 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.
Lan, Guipeng, et al.. (2025). Deep Neural Networks Internal Representation via Neuron Community Exploration. IEEE Transactions on Emerging Topics in Computational Intelligence. 10(1). 1038–1049.
2.
Lan, Guipeng, Shuai Xiao, Jiachen Yang, et al.. (2023). Image Aesthetics Assessment Based on Hypernetwork of Emotion Fusion. IEEE Transactions on Multimedia. 26. 3640–3650. 13 indexed citations
3.
Xi, Meng, et al.. (2023). An Information-Assisted Deep Reinforcement Learning Path Planning Scheme for Dynamic and Unknown Underwater Environment. IEEE Transactions on Neural Networks and Learning Systems. 36(1). 842–853. 14 indexed citations
4.
Xiao, Shuai, Guipeng Lan, Jiachen Yang, et al.. (2023). MCS-GAN: A Different Understanding for Generalization of Deep Forgery Detection. IEEE Transactions on Multimedia. 26. 1333–1345. 27 indexed citations
5.
Yang, Jiachen, et al.. (2022). MetaMP: Metalearning-Based Multipatch Image Aesthetics Assessment. IEEE Transactions on Cybernetics. 53(9). 5716–5728. 9 indexed citations
6.
Zhao, Yang, Shuai Xiao, Jiachen Yang, Wen Lu, & Xinbo Gao. (2022). No-reference quality index of tone-mapped images based on authenticity, preservation, and scene expressiveness. Signal Processing. 203. 108782–108782. 17 indexed citations
7.
Yang, Jiachen, et al.. (2021). Staged-Learning: Assessing the Quality of Screen Content Images from Distortion Information. IEEE Signal Processing Letters. 28. 1480–1484. 6 indexed citations
8.
Yang, Jiachen, et al.. (2021). MSTA-Net: Forgery Detection by Generating Manipulation Trace Based on Multi-Scale Self-Texture Attention. IEEE Transactions on Circuits and Systems for Video Technology. 32(7). 4854–4866. 82 indexed citations
9.
Yang, Jiachen, et al.. (2021). Full-Reference Quality Assessment for Screen Content Images Based on the Concept of Global-Guidance and Local-Adjustment. IEEE Transactions on Broadcasting. 67(3). 696–709. 14 indexed citations
10.
Yang, Jiachen, et al.. (2021). No-Reference Quality Assessment for Screen Content Images Using Visual Edge Model and AdaBoosting Neural Network. IEEE Transactions on Image Processing. 30. 6801–6814. 26 indexed citations
11.
Yang, Jiachen, et al.. (2021). MTD-Net: Learning to Detect Deepfakes Images by Multi-Scale Texture Difference. IEEE Transactions on Information Forensics and Security. 16. 4234–4245. 115 indexed citations
12.
Yang, Jiachen, Yang Zhao, Bin Jiang, et al.. (2020). No Reference Quality Assessment for Screen Content Images Using Stacked Autoencoders in Pictorial and Textual Regions. IEEE Transactions on Cybernetics. 52(5). 2798–2810. 54 indexed citations
13.
Yang, Jiachen, Tianlin Liu, Bin Jiang, Wen Lu, & Qinggang Meng. (2020). Panoramic Video Quality Assessment Based on Non-Local Spherical CNN. IEEE Transactions on Multimedia. 23. 797–809. 22 indexed citations
14.
Yang, Jiachen, Yang Zhao, Bin Jiang, et al.. (2019). No-Reference Quality Assessment of Stereoscopic Videos With Inter-Frame Cross on a Content-Rich Database. IEEE Transactions on Circuits and Systems for Video Technology. 30(10). 3608–3623. 8 indexed citations
15.
Yang, Jiachen, et al.. (2019). Precise Measurement of Position and Attitude Based on Convolutional Neural Network and Visual Correspondence Relationship. IEEE Transactions on Neural Networks and Learning Systems. 31(6). 2030–2041. 16 indexed citations
16.
Yang, Jiachen, Yang Zhao, Bin Jiang, Wen Lu, & Xinbo Gao. (2019). No-Reference Quality Evaluation of Stereoscopic Video Based on Spatio-Temporal Texture. IEEE Transactions on Multimedia. 22(10). 2635–2644. 18 indexed citations
17.
Yang, Jiachen, et al.. (2018). No-Reference Stereoimage Quality Assessment for Multimedia Analysis Towards Internet-of-Things. IEEE Access. 6. 7631–7640. 11 indexed citations
18.
Yang, Jiachen, Tianlin Liu, Bin Jiang, Houbing Song, & Wen Lu. (2018). 3D Panoramic Virtual Reality Video Quality Assessment Based on 3D Convolutional Neural Networks. IEEE Access. 6. 38669–38682. 45 indexed citations
19.
Yang, Jiachen, et al.. (2018). No Reference Quality Assessment of Stereo Video Based on Saliency and Sparsity. IEEE Transactions on Broadcasting. 64(2). 341–353. 37 indexed citations
20.
Jiang, Bin, Jiachen Yang, Qinggang Meng, Baihua Li, & Wen Lu. (2018). A Deep Evaluator for Image Retargeting Quality by Geometrical and Contextual Interaction. IEEE Transactions on Cybernetics. 50(1). 87–99. 31 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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