Jun Wen

754 citations
41 papers · 447 · h-index 11

Impact in

Papers in

Jun Wen

37 papers receiving 441 citations

Peers

Jun Wen
Comparison fields: 5 of 70
  • Computer Vision and Pattern Recognition 295
  • Artificial Intelligence 238
  • Human-Computer Interaction 38
  • Biomedical Engineering 116
  • Control and Systems Engineering 43
Replace Mohammad Al-Rousan with:
Mohammad Al-Rousan Jordan
Chandranath Adak India
Jathushan Rajasegaran United States
Ben Fielding United Kingdom
Vivek Sharma Germany
Debidatta Dwibedi United States
Nakamasa Inoue Japan
Qiongjie Cui China
Rita Chattopadhyay United States
Jun Wen relative to Mohammad Al-Rousan Jordan Mohammad Al-Rousan's profile →
Citations per field
00.5×10×13×
Mohammad Al-Rousan · 1×
Citations per year

Countries citing papers authored by Jun Wen

Since Specialization
Citations

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

Fields of papers citing papers by Jun Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018136
2 202145
3 201933
4 201932
5 202228
6 202120
7 202219
8 202316
9 202313
10 202013
11 202110
12 20239
13 20238
14 20238
15
Design and implementation of Android phone based access and control in smart space
20116
16 20115
17 20115
18 20054
19 20154
20 20214

About Jun Wen

Jun Wen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Information Systems and Electrical and Electronic Engineering, having authored 41 papers that have together received 447 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (9 papers), Human Pose and Action Recognition (6 papers), Multimodal Machine Learning Applications (6 papers), Machine Learning in Healthcare (5 papers), Mobile Agent-Based Network Management (4 papers), Advanced Neural Network Applications (3 papers), Hand Gesture Recognition Systems (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (295 citations), Artificial Intelligence (238 citations), Human-Computer Interaction (38 citations), Biomedical Engineering (116 citations) and Control and Systems Engineering (43 citations). Jun Wen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Nenggan Zheng, Zhefeng Gong, Risheng Liu, Jianhua Dai, Junsong Yuan, Yuntao Qian, Liang Wang, Zheng Qian, Chenyang Si and Dongfang Liu. Their work appears in journals such as Journal of Medical Internet Research, Journal of Biomedical Informatics, IEEE Transactions on Image Processing, Bioinformatics and Knowledge-Based Systems.

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.

Explore authors with similar magnitude of impact