Wenjun Tan
- Health Informatics top 5%
- Human-Computer Interaction top 5%
- Hand Gesture Recognition Systems 7
-
- Radiomics and Machine Learning in Medical Imaging 22
- COVID-19 diagnosis using AI 10
- Medical Imaging Techniques and Applications 7
-
- Medical Image Segmentation Techniques 22
- Image Retrieval and Classification Techniques 6
- Cognitive Neuroscience top 10%
-
- Lung Cancer Diagnosis and Treatment 14
-
- Gamma-ray bursts and supernovae 6
- Co-authors
- Yanchun ZhangXiaoxia YinJinzhu YangChao ChenXingping ZhangGuijuan ZhangQinghua ZhouYufei Chen
In The Last Decade
Wenjun Tan
85 papers receiving 956 citations
Peers
Comparison fields: 5 of 139
- Health Informatics 35
- Human-Computer Interaction 89
- Radiology, Nuclear Medicine and Imaging 366
- Computer Vision and Pattern Recognition 207
- Cognitive Neuroscience 152
Countries citing papers authored by Wenjun Tan
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 9 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 6 | |
| 7 | 2024 | 4 | |
| 8 | 2024 | 0 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 0 | |
| 11 | 2023 | 0 | |
| 12 | 2022 | 15 | |
| 13 | 2021 | 4 | |
| 14 | 2019 | 9 | |
| 15 | Recognition of crop seedling and weed recognition based on dilated convolution and global pooling in CNN. | 2018 | 12 |
| 16 | 2018 | 5 | |
| 17 | 2015 | 0 | |
| 18 | 2014 | 19 | |
| 19 | 2014 | 7 | |
| 20 | 2008 | 1 |
About Wenjun Tan
Wenjun Tan is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Radiology, Nuclear Medicine and Imaging, having authored 94 papers that have together received 996 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (22 papers), Radiomics and Machine Learning in Medical Imaging (22 papers), Lung Cancer Diagnosis and Treatment (14 papers), COVID-19 diagnosis using AI (10 papers), Hand Gesture Recognition Systems (7 papers), Medical Imaging Techniques and Applications (7 papers), Image Retrieval and Classification Techniques (6 papers) and Gamma-ray bursts and supernovae (6 papers). The work is most often cited by research in Health Informatics (35 citations), Human-Computer Interaction (89 citations) and Radiology, Nuclear Medicine and Imaging (366 citations). Wenjun Tan has collaborated with scholars based in China, Australia and Japan. Frequent co-authors include Yanchun Zhang, Xiaoxia Yin, Jinzhu Yang, Chao Chen, Xingping Zhang, Guijuan Zhang, Qinghua Zhou, Yufei Chen, Pan Liu and Ruofei Wang. Their work appears in journals such as Health Information Science and Systems, The Astrophysical Journal, IEEE Access, Bio-Medical Materials and Engineering 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.