Junsheng Wu

699 citations
73 papers · 472 · h-index 10

Impact in

Papers in

Junsheng Wu

62 papers receiving 453 citations

Peers

Junsheng Wu
Comparison fields: 5 of 100
  • Health Informatics 11
  • Media Technology 53
  • Computer Vision and Pattern Recognition 121
  • Artificial Intelligence 161
  • Information Systems 85
Replace Biswaranjan Acharya with:
Biswaranjan Acharya India
Mohammad Khalid Imam Rahmani Saudi Arabia
Sunil L. Bangare India
Subrota Kumar Mondal Macao
Biswajit Purkayastha India
Belal Al‐Khateeb Iraq
Mohamadtaghi Rahimi Iran
Mehmet Fatih Amasyalı Türkiye
Qing Ye China
Yi Zhuang China
Junsheng Wu relative to Biswaranjan Acharya India Biswaranjan Acharya's profile →
Citations per field
00.5×10×15×20×25×
Biswaranjan Acharya · 1×
Citations per year

Countries citing papers authored by Junsheng Wu

Since Specialization
Citations

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

Fields of papers citing papers by Junsheng Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202266
2 201946
3 202242
4 202030
5 202326
6 202221
7 202217
8 202315
9 202013
10 202412
11 20209
12 20219
13 20219
14 20238
15 20088
16 20237
17 20217
18 20217
19 20226
20 20206

About Junsheng Wu

Junsheng Wu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Computer Networks and Communications and Information Systems, having authored 73 papers that have together received 472 indexed citations. Recurring topics across this work include Medical Imaging and Analysis (13 papers), Advanced Image Fusion Techniques (7 papers), Anomaly Detection Techniques and Applications (6 papers), Remote-Sensing Image Classification (6 papers), Brain Tumor Detection and Classification (6 papers), Advanced Graph Neural Networks (6 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Human Pose and Action Recognition (4 papers). The work is most often cited by research in Health Informatics (11 citations), Media Technology (53 citations), Computer Vision and Pattern Recognition (121 citations), Artificial Intelligence (161 citations) and Information Systems (85 citations). Junsheng Wu has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Wei Dong, Zongwen Bai, Marcin Woźniak, Peng Wang, Bin Yu, Li Weigang, Bin Yu, Wei Qiao, Yi Luo and Zongyuan Ge. Their work appears in journals such as Neurocomputing, Computer Vision and Image Understanding, Multimedia Tools and Applications, Journal of Intelligent & Fuzzy Systems and Engineering Applications of Artificial 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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