Wenjun Tan

1.7k total citations
94 papers, 996 citations indexed

About

Wenjun Tan is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Wenjun Tan has authored 94 papers receiving a total of 996 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Computer Vision and Pattern Recognition, 33 papers in Radiology, Nuclear Medicine and Imaging and 21 papers in Biomedical Engineering. Recurrent topics in Wenjun Tan's work include Medical Image Segmentation Techniques (22 papers), Radiomics and Machine Learning in Medical Imaging (22 papers) and Lung Cancer Diagnosis and Treatment (14 papers). Wenjun Tan is often cited by papers focused on Medical Image Segmentation Techniques (22 papers), Radiomics and Machine Learning in Medical Imaging (22 papers) and Lung Cancer Diagnosis and Treatment (14 papers). Wenjun Tan collaborates with scholars based in China, Australia and Japan. Wenjun Tan's co-authors include Yanchun Zhang, Xiaoxia Yin, Jinzhu Yang, Chao Chen, Xingping Zhang, Guijuan Zhang, Qinghua Zhou, Yufei Chen, Pan Liu and Jiangang Ma and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Nano and The Astrophysical Journal.

In The Last Decade

Wenjun Tan

85 papers receiving 956 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Wenjun Tan China 18 366 207 173 172 152 94 996
Seyed‐Ahmad Ahmadi Germany 18 304 0.8× 339 1.6× 190 1.1× 67 0.4× 96 0.6× 48 1.2k
Constantinos Loukas Greece 20 208 0.6× 353 1.7× 304 1.8× 105 0.6× 145 1.0× 61 1.1k
Steven Pieper United States 13 380 1.0× 261 1.3× 228 1.3× 139 0.8× 142 0.9× 21 1.1k
Bikesh Kumar Singh India 22 567 1.5× 304 1.5× 152 0.9× 219 1.3× 162 1.1× 100 1.4k
Svitlana Zinger Netherlands 20 293 0.8× 472 2.3× 175 1.0× 210 1.2× 243 1.6× 107 1.4k
Cemil Kirbas United States 10 536 1.5× 659 3.2× 127 0.7× 193 1.1× 79 0.5× 17 1.1k
Jingxin Liu China 18 198 0.5× 183 0.9× 97 0.6× 64 0.4× 107 0.7× 71 906
Shuihua Wang United Kingdom 20 385 1.1× 417 2.0× 128 0.7× 59 0.3× 281 1.8× 66 1.4k
Xiaofei Wang China 14 511 1.4× 271 1.3× 188 1.1× 42 0.2× 84 0.6× 46 994
Yakang Dai China 22 583 1.6× 369 1.8× 317 1.8× 114 0.7× 444 2.9× 121 1.7k

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-authorship network of co-authors of Wenjun Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Wenjun Tan. A scholar is included among the top collaborators of Wenjun Tan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wenjun Tan. Wenjun Tan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Guidorzi, C., M. Orlandini, L. Amati, et al.. (2025). A search for periodic activity in multi-peaked long gamma-ray bursts. Astronomy and Astrophysics. 697. A228–A228. 1 indexed citations
2.
Xu, Lisheng, et al.. (2025). Impact of Generation Rate of Speech Imagery on Neural Activity and BCI Decoding Performance: A fNIRS Study. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 33. 1180–1190.
3.
Lü, Hou-Jun, et al.. (2025). Signature of Strange Star as the Central Engine of GRB 240529A. The Astrophysical Journal. 982(1). 19–19. 1 indexed citations
4.
Tan, Wenjun, S. L. Xiong, Shu-Xu Yi, et al.. (2025). A Subclass of Gamma-Ray Burst Originating from Compact Binary Merger. The Astrophysical Journal. 979(1). 73–73. 9 indexed citations
5.
Yi, Shu-Xu, et al.. (2025). A set of distinctive properties ruling the prompt emission of GRB 230307A and other long γ-ray bursts from compact object mergers. Journal of High Energy Astrophysics. 49. 100456–100456.
6.
Ge, Zhixing, Haibo Yu, Junhua Zhao, et al.. (2024). Nanomechanical Analysis of Living Small Extracellular Vesicles to Identify Gastric Cancer Cell Malignancy Based on a Biomimetic Peritoneum. ACS Nano. 18(8). 6130–6146. 4 indexed citations
7.
Tan, Wenjun, Jinchen Li, Yangyang Liu, et al.. (2024). Taming large language models to implement diagnosis and evaluating the generation of LLMs at the semantic similarity level in acupuncture and moxibustion. Expert Systems with Applications. 264. 125920–125920. 6 indexed citations
8.
Moradi, R., et al.. (2024). Temporal and Spectral Analysis of the Unique and Second-brightest Gamma-Ray Burst GRB 230307A: Insights from GECAM and Fermi/GBM Observations. The Astrophysical Journal. 977(2). 155–155. 1 indexed citations
9.
Wang, Zheng, et al.. (2023). miR‐144‐3p represses hepatocellular carcinoma progression by affecting cell aerobic glycolysis via FOXK1. International Journal of Experimental Pathology. 104(3). 117–127. 8 indexed citations
10.
Tan, Wenjun, et al.. (2023). A new segment method for pulmonary artery and vein. Health Information Science and Systems. 11(1). 47–47. 2 indexed citations
11.
Lin, Qiao, et al.. (2023). Electricity consumption prediction based on Transformer-LSTM. 228–231.
12.
Tan, Wenjun, et al.. (2021). Pulmonary image anatomical structure segmentation dataset and applications. Journal of Image and Graphics. 26(9). 2111–2120. 4 indexed citations
13.
Chen, Chao, Abdelkader Nasreddine Belkacem, Penghai Li, et al.. (2021). EEG-Based Anxious States Classification Using Affective BCI-Based Closed Neurofeedback System. Journal of Medical and Biological Engineering. 41(2). 155–164. 28 indexed citations
14.
Qi, Lin, Haoran Zhang, Wenjun Tan, et al.. (2019). Cascaded Conditional Generative Adversarial Networks With Multi-Scale Attention Fusion for Automated Bi-Ventricle Segmentation in Cardiac MRI. IEEE Access. 7. 172305–172320. 9 indexed citations
15.
Tan, Wenjun, Pan Liu, Hui Guo, et al.. (2019). A Review of Intelligent Image Processing Method of Pulmonary CT Images. Victoria University Research Repository (Victoria University). 1641–1648. 1 indexed citations
16.
Sun, Jun, et al.. (2018). Recognition of crop seedling and weed recognition based on dilated convolution and global pooling in CNN.. Nongye gongcheng xuebao. 34(11). 159–165. 12 indexed citations
17.
Yang, Jinzhu, Shuang Ma, Qi Sun, et al.. (2014). Improved Hessian multiscale enhancement filter. Bio-Medical Materials and Engineering. 24(6). 3267–3275. 19 indexed citations
18.
Yang, Jinzhu, Wenjun Tan, Shuang Ma, et al.. (2014). Automatic MRI Brain Tissue Extraction Algorithm Based on Three-Dimensional Gray-Scale Transformation Model. Journal of Medical Imaging and Health Informatics. 4(6). 907–911. 3 indexed citations
19.
Tan, Wenjun, et al.. (2014). An automatic partitioning method of CTA head-neck image. 3283–3285. 1 indexed citations
20.
Tan, Wenjun, et al.. (2008). Research on Robotic Popular Science System Based on LEGO Bricks. 741–744. 1 indexed citations

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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