Junle Wang

1.5k citations
44 papers · 903 · h-index 16

Impact in

Papers in

Junle Wang

41 papers receiving 883 citations

Peers

Junle Wang
Comparison fields: 5 of 98
  • Computer Vision and Pattern Recognition 557
  • Fluid Flow and Transfer Processes 137
  • Sensory Systems 76
  • Media Technology 129
  • Human-Computer Interaction 56
Replace Sanghyun Seo with:
Sanghyun Seo South Korea
Xin Fan China
Weizhong Zhang China
Fang‐Lue Zhang China
Sungkil Lee South Korea
Jinlong Lin China
Dongsheng Zhou China
Georgios Evangelopoulos Greece
Tiantian Wang China
Takuya Funatomi Japan
Junle Wang relative to Sanghyun Seo South Korea Sanghyun Seo's profile →
Citations per field
00.5×20×40×60×76×
Sanghyun Seo · 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 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014132
2 201396
3 201864
4 202257
5 201854
6 202252
7 201846
8 202245
9 199131
10 201230
11 201229
12 201026
13 201326
14 201623
15 201120
16 202018
17 202015
18 202015
19 202313
20 202112

About Junle Wang

Junle Wang is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Artificial Intelligence, Signal Processing and Computational Mechanics, having authored 44 papers that have together received 903 indexed citations. Recurring topics across this work include Visual Attention and Saliency Detection (13 papers), Image and Video Quality Assessment (12 papers), Visual perception and processing mechanisms (6 papers), Advanced Combustion Engine Technologies (5 papers), Advanced Vision and Imaging (4 papers), Olfactory and Sensory Function Studies (4 papers), Computer Graphics and Visualization Techniques (4 papers) and Gaze Tracking and Assistive Technology (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (557 citations), Fluid Flow and Transfer Processes (137 citations), Sensory Systems (76 citations), Media Technology (129 citations) and Human-Computer Interaction (56 citations). Junle Wang has collaborated with scholars based in China, France and United Kingdom. Frequent co-authors include Patrick Le Callet, Jie Liu, Weisi Lin, Yuming Fang, Manish Narwaria, Xingzhu Liu, Ning Zhang, Patrick Le Callet, Wei Gao and Suiyi Ling. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Signal Processing Letters, Information Sciences, Electronics and IEEE Transactions on Multimedia.

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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