Kun Wang

2.9k citations
123 papers · 2.0k · h-index 22

Impact in

Papers in

Kun Wang

112 papers receiving 2.0k citations

Peers

Kun Wang
Comparison fields: 5 of 158
  • Computer Vision and Pattern Recognition 765
  • Radiology, Nuclear Medicine and Imaging 295
  • Artificial Intelligence 422
  • Media Technology 109
  • Health Informatics 15
Replace Lin Meng with:
Lin Meng Japan
Peishu Wu China
Shruti Jain India
Cheng Chen China
Takahiro Ogawa Japan
Heikki J. Huttunen Finland
Yu Cao United States
Mei Chen China
Tian-Xing Xu China
Taesup Moon South Korea
Kun Wang relative to Lin Meng Japan Lin Meng's profile →
Citations per field
00.5×5×10.4×
Lin Meng · 1×
Citations per year

Countries citing papers authored by Kun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Kun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 123 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013183
2 2016138
3 2015133
4 2019116
5 2022112
6 2017109
7 202082
8 201581
9 202057
10 201752
11 202145
12 201639
13 202039
14 201538
15 201938
16 202038
17 202437
18 201833
19 202328
20 202225

About Kun Wang

Kun Wang is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Media Technology and Biomedical Engineering, having authored 123 papers that have together received 2.0k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (23 papers), COVID-19 diagnosis using AI (15 papers), Radiomics and Machine Learning in Medical Imaging (13 papers), Thermochemical Biomass Conversion Processes (8 papers), Advanced Image and Video Retrieval Techniques (8 papers), Lung Cancer Diagnosis and Treatment (8 papers), Medical Image Segmentation Techniques (8 papers) and Video Surveillance and Tracking Methods (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (765 citations), Radiology, Nuclear Medicine and Imaging (295 citations), Artificial Intelligence (422 citations), Media Technology (109 citations) and Health Informatics (15 citations). Kun Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Lei He, Xiaohong Zhang, Xiaogang Wang, Sheng Huang, Xingyu Zeng, Wanli Ouyang, Yuting Lü, Qin Qin, Wenjun Duan and Qingbo Yu. Their work appears in journals such as Biomedical Signal Processing and Control, Pattern Recognition, International Journal of Heat and Mass Transfer, Computer Methods and Programs in Biomedicine and Energy Conversion and Management.

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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