Junle Wang

1.2k citations
46 papers · 900 · h-index 16

Impact in

    • Visual Attention and Saliency Detection
    • Image and Video Quality Assessment
    • Generative Adversarial Networks and Image Synthesis
    • Advanced Vision and Imaging
    • Advanced Neural Network Applications
    • Advanced Optical Imaging Technologies

Papers in

Junle Wang

44 papers receiving 889 citations

Peers

Junle Wang
Comparison fields: 5 of 44
  • Computer Vision and Pattern Recognition 714
  • Media Technology 68
  • Computer Graphics and Computer-Aided Design 25
  • Signal Processing 34
  • Human-Computer Interaction 28
Replace Che-Han Chang with:
Che-Han Chang Taiwan
Weihao Xia China
Yurui Ren China
Hou-Ning Hu Taiwan
Yotam Nitzan Israel
Omri Avrahami Israel
Zhiwen Shao China
Iván Huerta Spain
Rémi Cozot France
Cen Rao United States
Junle Wang relative to Che-Han Chang Taiwan Che-Han Chang's profile →
Citations per field
00.5×2×4×6×8×9.3×
Che-Han Chang · 1×
Citations per year

Countries citing papers authored by Junle Wang

Since Specialization
Citations

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

Fields of papers citing papers by Junle Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014145
2 2013113
3 202275
4 202273
5 201233
6 201231
7 201030
8 201327
9 202027
10 202326
11 201624
12 201122
13 202320
14 202019
15 202319
16 201416
17 202016
18 201115
19 202114
20 202214

About Junle Wang

Junle Wang is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Artificial Intelligence, Media Technology and Computational Mechanics, having authored 46 papers that have together received 900 indexed citations. Recurring topics across this work include Visual Attention and Saliency Detection (14 papers), Image and Video Quality Assessment (11 papers), Gaze Tracking and Assistive Technology (3 papers), 3D Shape Modeling and Analysis (3 papers), Generative Adversarial Networks and Image Synthesis (3 papers), Domain Adaptation and Few-Shot Learning (2 papers), Advanced Optical Imaging Technologies (2 papers) and Advanced Vision and Imaging (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (714 citations), Media Technology (68 citations), Computer Graphics and Computer-Aided Design (25 citations), Signal Processing (34 citations) and Human-Computer Interaction (28 citations). Junle Wang has collaborated with scholars based in China, France and Singapore. Frequent co-authors include Patrick Le Callet, Yuming Fang, Weisi Lin, Matthieu Perreira Da Silva, Manish Narwaria, Wei Gao, Jing Li, Suiyi Ling, Guibiao Liao and Ge Li. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Signal Processing Letters, Pattern Recognition Letters, ACM Transactions on Graphics and IEEE Transactions on Circuits and Systems for Video Technology.

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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