Wenjun Tan

1.8k citations
100 papers · 1.1k · h-index 20

Impact in

Papers in

Wenjun Tan

90 papers receiving 1.1k citations

Peers

Wenjun Tan
Comparison fields: 5 of 138
  • Health Informatics 29
  • Human-Computer Interaction 117
  • Radiology, Nuclear Medicine and Imaging 329
  • Computer Vision and Pattern Recognition 238
  • Cognitive Neuroscience 146
Replace Shuihua Wang with:
Shuihua Wang United Kingdom
Pietro Cerveri Italy
Fatih Demir Türkiye
Constantinos Loukas Greece
Ewa Piętka Poland
Yakang Dai China
Jingxin Liu China
Yongwon Cho South Korea
Omneya Attallah Egypt
Howida A. Shedeed Egypt
Wenjun Tan relative to Shuihua Wang United Kingdom Shuihua Wang's profile →
Citations per field
00.5×
Shuihua Wang · 1×
Citations per year

Countries citing papers authored by Wenjun Tan

Since Specialization
Citations

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

Fields of papers citing papers by Wenjun Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022121
2 202279
3 201956
4 202148
5 202142
6 202133
7 202131
8 202131
9 202028
10 202226
11 202325
12 201925
13 202224
14 201024
15 201923
16 201420
17 202020
18 202020
19 200920
20 202219

About Wenjun Tan

Wenjun Tan is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Pulmonary and Respiratory Medicine and Human-Computer Interaction, having authored 100 papers that have together received 1.1k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (25 papers), Medical Image Segmentation Techniques (24 papers), Lung Cancer Diagnosis and Treatment (13 papers), COVID-19 diagnosis using AI (9 papers), Hand Gesture Recognition Systems (8 papers), Gamma-ray bursts and supernovae (6 papers), Medical Imaging Techniques and Applications (6 papers) and Image Retrieval and Classification Techniques (6 papers). The work is most often cited by research in Health Informatics (29 citations), Human-Computer Interaction (117 citations), Radiology, Nuclear Medicine and Imaging (329 citations), Computer Vision and Pattern Recognition (238 citations) and Cognitive Neuroscience (146 citations). Wenjun Tan has collaborated with scholars based in China, Australia and United Arab Emirates. Frequent co-authors include Yanchun Zhang, Xiaoxia Yin, Jinzhu Yang, Chao Chen, Xingping Zhang, Guijuan Zhang, Qinghua Zhou, Yufei Chen, Pan Liu and Dazhe Zhao. Their work appears in journals such as Health Information Science and Systems, The Astrophysical Journal, Journal of X-Ray Science and Technology, IEEE Access and Artificial Intelligence in Medicine.

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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