Wen Lu

855 total citations
25 papers, 654 citations indexed

About

Wen Lu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Cognitive Neuroscience. According to data from OpenAlex, Wen Lu has authored 25 papers receiving a total of 654 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 13 papers in Media Technology and 5 papers in Cognitive Neuroscience. Recurrent topics in Wen Lu's work include Image and Video Quality Assessment (16 papers), Advanced Image Fusion Techniques (11 papers) and Visual Attention and Saliency Detection (7 papers). Wen Lu is often cited by papers focused on Image and Video Quality Assessment (16 papers), Advanced Image Fusion Techniques (11 papers) and Visual Attention and Saliency Detection (7 papers). Wen Lu collaborates with scholars based in China, United Kingdom and United States. Wen Lu's co-authors include Xinbo Gao, Jiachen Yang, Xuelong Li, Dacheng Tao, Qinggang Meng, Qi Liu, Lihuo He, Lihuo He, Bin Jiang and Yu Zhang and has published in prestigious journals such as IEEE Transactions on Image Processing, Expert Systems with Applications and Information Sciences.

In The Last Decade

Wen Lu

24 papers receiving 639 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 12 588 364 46 46 33 25 654
Zisheng Cao Hong Kong 8 680 1.2× 279 0.8× 45 1.0× 47 1.0× 19 0.6× 13 749
Qiaohong Li Singapore 11 963 1.6× 599 1.6× 98 2.1× 33 0.7× 19 0.6× 20 1.0k
Олег Єремеєв Ukraine 7 960 1.6× 589 1.6× 115 2.5× 28 0.6× 17 0.5× 23 1.0k
Weixia Zhang China 9 865 1.5× 441 1.2× 30 0.7× 33 0.7× 82 2.5× 22 1.0k
Renato Keshet United States 8 649 1.1× 234 0.6× 159 3.5× 29 0.6× 25 0.8× 18 711
Weilong Hou China 6 356 0.6× 200 0.5× 20 0.4× 26 0.6× 40 1.2× 8 421
Shaolin Su China 5 446 0.8× 236 0.6× 19 0.4× 12 0.3× 23 0.7× 12 518
Zhangkai Ni China 15 713 1.2× 232 0.6× 70 1.5× 14 0.3× 22 0.7× 33 811
Shaoyang Zhu United States 4 420 0.7× 122 0.3× 13 0.3× 44 1.0× 39 1.2× 7 487
Steven Le Moan Norway 9 190 0.3× 203 0.6× 41 0.9× 25 0.5× 28 0.8× 42 341

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.
Yang, Jiachen, Zhuo Zhang, Yang Li, et al.. (2024). Say No to Redundant Information: Unsupervised Redundant Feature Elimination for Active Learning. IEEE Transactions on Multimedia. 26. 7721–7733. 8 indexed citations
2.
Lan, Guipeng, Shuai Xiao, Jiachen Yang, et al.. (2024). Face swapping with adaptive exploration-fusion mechanism and dual en-decoding tactic. Expert Systems with Applications. 255. 124822–124822.
3.
Lan, Guipeng, Shuai Xiao, Jiachen Yang, et al.. (2024). Active learning inspired method in generative models. Expert Systems with Applications. 249. 123582–123582. 13 indexed citations
4.
Lu, Wen, et al.. (2022). Distributed Intelligent Learning and Decision Model Based on Logic Predictive Control. Computational Intelligence and Neuroscience. 2022. 1–10. 1 indexed citations
5.
Yang, Jiachen, et al.. (2021). Blind Stereoscopic Image Quality Evaluator Based on Binocular Semantic and Quality Channels. IEEE Transactions on Multimedia. 24. 1389–1398. 24 indexed citations
6.
Yang, Jiachen, et al.. (2020). MaD-DLS: Mean and Deviation of Deep and Local Similarity for Image Quality Assessment. IEEE Transactions on Multimedia. 23. 4037–4048. 39 indexed citations
7.
Zhang, Yi, et al.. (2019). Beauty Aware Network. 2558–2562. 4 indexed citations
8.
Yang, Jiachen, et al.. (2019). No-reference image quality assessment focusing on human facial region. Signal Processing Image Communication. 78. 51–61. 8 indexed citations
9.
Yang, Jiachen, et al.. (2019). 3-D Visual Discomfort Assessment Considering Optical and Neural Attention Models. IEEE Transactions on Broadcasting. 66(2). 279–291. 2 indexed citations
10.
Yang, Jiachen, et al.. (2018). Predicting Stereoscopic Image Quality via Stacked Auto-Encoders Based on Stereopsis Formation. IEEE Transactions on Multimedia. 21(7). 1750–1761. 34 indexed citations
11.
Yang, Jiachen, et al.. (2018). A Blind Stereoscopic Image Quality Evaluator With Segmented Stacked Autoencoders Considering the Whole Visual Perception Route. IEEE Transactions on Image Processing. 28(3). 1314–1328. 46 indexed citations
12.
Liu, Qi, Xinbo Gao, Lihuo He, & Wen Lu. (2018). Single Image Dehazing With Depth-Aware Non-Local Total Variation Regularization. IEEE Transactions on Image Processing. 27(10). 5178–5191. 76 indexed citations
13.
Yang, Jiachen, et al.. (2018). Blind assessment for stereo images considering binocular characteristics and deep perception map based on deep belief network. Information Sciences. 474. 1–17. 22 indexed citations
14.
Yang, Jiachen, et al.. (2018). Stereoscopic image quality assessment combining statistical features and binocular theory. Pattern Recognition Letters. 127. 48–55. 5 indexed citations
15.
16.
Zhang, Yu, et al.. (2018). Blind Video Quality Assessment With Weakly Supervised Learning and Resampling Strategy. IEEE Transactions on Circuits and Systems for Video Technology. 29(8). 2244–2255. 64 indexed citations
17.
Yang, Jiachen, Bin Jiang, Yafang Wang, Wen Lu, & Qinggang Meng. (2017). Sparse representation based stereoscopic image quality assessment accounting for perceptual cognitive process. Information Sciences. 430-431. 1–16. 14 indexed citations
18.
Gao, Xinbo, Wen Lu, Dacheng Tao, & Xuelong Li. (2009). Image Quality Assessment Based on Multiscale Geometric Analysis. IEEE Transactions on Image Processing. 18(7). 1409–1423. 195 indexed citations
19.
Lu, Wen, et al.. (2009). A Edge Detection Method for Microcalfication Clusters in Mammograms. 1. 1–5. 2 indexed citations
20.
Lu, Wen, et al.. (2009). [A solution for display and processing of DICOM images in web PACS].. PubMed. 33(3). 179–82. 2 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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