Wenjin Lu

995 citations
34 papers · 566 · h-index 12

Impact in

Papers in

Wenjin Lu

32 papers receiving 542 citations

Peers

Wenjin Lu
Comparison fields: 5 of 101
  • Computer Vision and Pattern Recognition 307
  • Artificial Intelligence 286
  • Human-Computer Interaction 34
  • Radiology, Nuclear Medicine and Imaging 110
  • Biological Psychiatry 8
Replace Farhat Afza with:
Farhat Afza Pakistan
Shibaprasad Sen India
Mohsen Fayyaz Iran
Yu Zeng China
Alaaeldin El-Nouby Sweden
Marc‐André Carbonneau Canada
Sherin M. Youssef Egypt
Guilherme Ruppert Brazil
Xi Shen France
Fardin Abdali-Mohammadi Iran
Wenjin Lu relative to Farhat Afza Pakistan Farhat Afza's profile →
Citations per field
00.5×1.7×
Farhat Afza · 1×
Citations per year

Countries citing papers authored by Wenjin Lu

Since Specialization
Citations

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

Fields of papers citing papers by Wenjin Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wenjin Lu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wenjin Lu Line = papers co-authored together Wenjin Lu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201494
2 201886
3 201264
4 201748
5 202041
6 201938
7 201728
8 201726
9 202125
10 202217
11 201816
12 201911
13 202110
14
A Library of Components for Classification Problem Solving
200010
15 20117
16 20135
17 20175
18 20124
19 20124
20
Phenotype Recognition by Curvelet Transform and Random Subspace Ensemble
20114

About Wenjin Lu

Wenjin Lu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Molecular Biology, Computer Networks and Communications and Geophysics, having authored 34 papers that have together received 566 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (6 papers), Multimodal Machine Learning Applications (5 papers), Image and Signal Denoising Methods (5 papers), Face and Expression Recognition (4 papers), Seismic Imaging and Inversion Techniques (4 papers), Face recognition and analysis (4 papers), Image Processing Techniques and Applications (3 papers) and Advanced Neural Network Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (307 citations), Artificial Intelligence (286 citations), Human-Computer Interaction (34 citations), Radiology, Nuclear Medicine and Imaging (110 citations) and Biological Psychiatry (8 citations). Wenjin Lu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Bailing Zhang, Jeremy S. Smith, Shiyang Yan, Yungang Zhang, Frans Coenen, Jimin Xiao, Fangyu Wu, Jingyun Yang, Chuntao Zhao and Bailing Zhang. Their work appears in journals such as IEEE Transactions on Cognitive and Developmental Systems, Signal Processing Image Communication, Machine Vision and Applications, Saudi Journal of Biological Sciences and Fuel.

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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