Jue Wang

22.7k citations
404 papers · 11.4k indexed · 6 hit papers · h-index 57

Jue Wang

372 papers receiving 11.0k citations

Hit Papers

High-Fidelity GAN Inversi...1502013202620172021100200300400

Peers

Jue Wang
Comparison fields: 5 of 204
  • Computer Vision and Pattern Recognition 7.9k
  • Media Technology 2.1k
  • Computer Graphics and Computer-Aided Design 761
  • Signal Processing 417
  • Computational Mechanics 785
Replace Phillip Isola with:
Phillip Isola United States
Jiaying Liu China
Liang Lin China
Carsten Rother United Kingdom
Taesung Park South Korea
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Jue Wang relative to Phillip Isola United States Phillip Isola's profile →
Citations per field
00.5×4.7×
Phillip Isola · 1×
Citations per year

Countries citing papers authored by Jue Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jue Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Jue Wang, 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 Jue Wang Line = papers co-authored together Jue Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20241
4 20242
5 20245
6 202418
7 202327
8 202373
9 20237
10 202240
11 202294
12 202217
13 202113
14
Revitalizing CNN Attention via Transformers in Self-Supervised Visual Representation Learning
20218
15 201315
16
Unsupervised Template Learning for Fine-Grained Object Recognition
201298
17 20121
18
China's chemical industry. Indications of scientific and economic competitiveness
20091
19 2008230
20 20051

About Jue Wang

Jue Wang is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Media Technology, having authored 404 papers that have together received 11.4k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (65 papers), Advanced Image Processing Techniques (47 papers), Image Enhancement Techniques (36 papers), Advanced Image and Video Retrieval Techniques (33 papers), Image and Signal Denoising Methods (27 papers), Generative Adversarial Networks and Image Synthesis (23 papers), Video Analysis and Summarization (22 papers) and Human Pose and Action Recognition (18 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (7.9k citations), Media Technology (2.1k citations) and Computer Graphics and Computer-Aided Design (761 citations). Jue Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Michael F. Cohen, Shuicheng Yan, Sunghyun Cho, Ketan Tang, Maneesh Agrawala, Guillermo Sapiro, Yong Zhang, Seungyong Lee, Xue Bai and Sunghyun Cho. Their work appears in journals such as ACM Transactions on Graphics, IEEE Transactions on Image Processing, Serials Review, IEEE Transactions on Circuits and Systems for Video Technology and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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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