Junle Wang

1.5k citations
45 papers · 1.0k · h-index 17

Impact in

Papers in

Junle Wang

43 papers receiving 997 citations

Peers

Junle Wang
Comparison fields: 5 of 105
  • Computer Vision and Pattern Recognition 623
  • Fluid Flow and Transfer Processes 142
  • Sensory Systems 82
  • Media Technology 134
  • Human-Computer Interaction 61
Replace Sanghyun Seo with:
Sanghyun Seo South Korea
Xin Fan China
Fang‐Lue Zhang New Zealand
Sungkil Lee South Korea
Zhiwen Shao China
Zhongpai Gao China
Georgios Evangelopoulos Greece
Takuya Funatomi Japan
Dongsheng Zhou China
Junle Wang relative to Sanghyun Seo South Korea Sanghyun Seo's profile →
Citations per field
00.5×20×40×60×82×
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 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014142
2 2013106
3 202269
4 201868
5 202268
6 202261
7 201857
8 201846
9 199134
10 201230
11 201230
12 201028
13 201327
14 201623
15 202023
16 201121
17 202317
18 202015
19 202015
20 202114

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 45 papers that have together received 1.0k 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), Olfactory and Sensory Function Studies (4 papers), Computer Graphics and Visualization Techniques (4 papers), Advanced Vision and Imaging (4 papers) and Vehicle emissions and performance (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (623 citations), Fluid Flow and Transfer Processes (142 citations), Sensory Systems (82 citations), Media Technology (134 citations) and Human-Computer Interaction (61 citations). Junle Wang has collaborated with scholars based in China, France and United States. Frequent co-authors include Patrick Le Callet, Jie Liu, Yuming Fang, Weisi Lin, Manish Narwaria, Wei Gao, Xingzhu Liu, Sam Kwong, Patrick Le Callet and Ge Li. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Signal Processing Letters, Applied Thermal Engineering, Chinese Journal of Aeronautics 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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