Tao Tan

3.3k total citations · 2 hit papers
122 papers, 2.0k citations indexed

About

Tao Tan is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Tao Tan has authored 122 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Artificial Intelligence, 40 papers in Radiology, Nuclear Medicine and Imaging and 30 papers in Computer Vision and Pattern Recognition. Recurrent topics in Tao Tan's work include AI in cancer detection (35 papers), Radiomics and Machine Learning in Medical Imaging (18 papers) and Retinal Imaging and Analysis (11 papers). Tao Tan is often cited by papers focused on AI in cancer detection (35 papers), Radiomics and Machine Learning in Medical Imaging (18 papers) and Retinal Imaging and Analysis (11 papers). Tao Tan collaborates with scholars based in China, Netherlands and Macao. Tao Tan's co-authors include Ritse M. Mann, Nico Karssemeijer, Bram Platel, Xiayu Xu, Yue Sun, Albert Gubern‐Mérida, Paola Clauser, Roel Mus, Ehsan Kozegar and Margarita Chevalier and has published in prestigious journals such as SHILAP Revista de lepidopterología, JNCI Journal of the National Cancer Institute and Scientific Reports.

In The Last Decade

Tao Tan

106 papers receiving 2.0k citations

Hit Papers

Stand-Alone Artificial Intelligence for Breast Cancer Det... 2018 2026 2020 2023 2018 2024 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Stand-Alone Artificial Intelligence for Breast Cancer Detection in Mammography: Comparison With 101 Radiologists
    2018 405 citations Tao Tan et al. profile →
  2. FusionMamba: dynamic feature enhancement for multimodal image fusion with Mamba
    2024 61 citations Tao Tan et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tao Tan China 23 1.0k 924 459 319 258 122 2.0k
J. Shin United States 7 1.0k 1.0× 1.1k 1.2× 848 1.8× 227 0.7× 271 1.1× 7 2.5k
Xin Yang China 21 1.5k 1.4× 1.2k 1.3× 1.2k 2.6× 246 0.8× 587 2.3× 86 3.1k
Yuchen Qiu United States 18 1.1k 1.1× 859 0.9× 331 0.7× 271 0.8× 238 0.9× 62 1.8k
Ozan Oktay United Kingdom 16 1.3k 1.3× 817 0.9× 1.3k 2.8× 209 0.7× 475 1.8× 29 2.7k
Kai Ma China 27 764 0.7× 717 0.8× 730 1.6× 115 0.4× 317 1.2× 118 2.5k
María A. Zuluaga France 19 705 0.7× 988 1.1× 818 1.8× 151 0.5× 290 1.1× 76 2.4k
Anselmo Cardoso de Paiva Brazil 30 1.8k 1.8× 1.3k 1.4× 852 1.9× 741 2.3× 277 1.1× 212 3.2k
Ravi K. Samala United States 23 1.6k 1.5× 1.4k 1.5× 382 0.8× 600 1.9× 361 1.4× 80 2.6k
Idit Diamant Israel 11 752 0.7× 868 0.9× 686 1.5× 152 0.5× 219 0.8× 19 1.9k

Countries citing papers authored by Tao Tan

Since Specialization
Citations

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

Fields of papers citing papers by Tao Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tao Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Tao Tan. A scholar is included among the top collaborators of Tao 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 Tao Tan. Tao 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.
Lin, Simin, Rui Zhou, Yancheng Lai, et al.. (2025). Predicting FOXA1 gene mutation status in prostate cancer through multi-modal deep learning. Biomedical Signal Processing and Control. 106. 107739–107739.
2.
Wang, Yiwen, et al.. (2025). FedHNR: Federated hierarchical resilient learning for echocardiogram segmentation with annotation noise. Expert Systems with Applications. 273. 126841–126841. 3 indexed citations
3.
Zhou, Yuanbo, Xinlin Zhang, Wei Deng, et al.. (2025). A universal parameter-efficient fine-tuning approach for stereo image super-resolution. Engineering Applications of Artificial Intelligence. 151. 110703–110703.
4.
Wang, Yihan, et al.. (2025). Ultrasound–microwave synergistic extraction enhances bioactivities of Phyllanthus emblica L. polysaccharides through structure–function modulation. Ultrasonics Sonochemistry. 121. 107564–107564. 2 indexed citations
5.
Yang, Qing, Tian Xia, Hao Wang, & Tao Tan. (2024). Exploration of the coupling coordination between rural tourism development and agricultural eco-efficiency in islands: A case study of Hainan Island in China. Journal for Nature Conservation. 84. 126822–126822. 8 indexed citations
6.
Hou, Yali, Qunwei Wang, & Tao Tan. (2024). Evaluating drivers of PM2.5 air pollution at urban scales using interpretable machine learning. Waste Management. 192. 114–124. 7 indexed citations
7.
8.
Zhao, Longxuan, et al.. (2024). MSAByNet: A multiscale subtraction attention network framework based on Bayesian loss for medical image segmentation. Biomedical Signal Processing and Control. 103. 107393–107393. 2 indexed citations
9.
Cheng, Yuanzhi, et al.. (2023). MimicNet: Mimicking manual delineation of human expert for brain tumor segmentation from multimodal MRIs. Applied Soft Computing. 143. 110394–110394. 12 indexed citations
10.
Wan, Wubo, Zhuang Yang, Tao Tan, et al.. (2023). Three-dimensional hydrophobic melamine@methyl trichlorosilane/polydimethylsiloxane sponge for consecutive and long-term oil/water separation. Chemical Engineering Journal. 476. 146824–146824. 39 indexed citations
11.
Chen, Zhenlin, et al.. (2023). Study on the uniaxial compression constitutive relationship of modified yellow mud from minority dwelling in western Sichuan, China. REVIEWS ON ADVANCED MATERIALS SCIENCE. 62(1). 1 indexed citations
12.
Zhang, Ziyi, et al.. (2023). Robust watermarking algorithm based on mahalanobis distance and ISS feature point for 3D point cloud data. Earth Science Informatics. 17(1). 783–796. 4 indexed citations
13.
Xu, Xiayu, Leyuan Fang, Ehsan Kozegar, et al.. (2023). Improved fully convolutional neuron networks on small retinal vessel segmentation using local phase as attention. Frontiers in Medicine. 10. 1038534–1038534. 4 indexed citations
14.
Shang, Jing, et al.. (2023). Quality attributes prediction and maturity discrimination of kiwifruits by hyperspectral imaging and chemometric algorithms. Journal of Food Process Engineering. 46(6). 9 indexed citations
15.
Hassanpour, Hamid, et al.. (2020). Cystoscopic Image Classification Based on Combining MLP and GA. International journal of nonlinear analysis and applications. 11(1). 93–105. 9 indexed citations
16.
Sun, Yue, Caifeng Shan, Tao Tan, et al.. (2019). Detecting discomfort in infants through facial expressions. Physiological Measurement. 40(11). 115006–115006. 12 indexed citations
17.
Hassanpour, Hamid, et al.. (2019). Cystoscopy Image Classification Using Deep Convolutional Neural Networks. International journal of nonlinear analysis and applications. 10(1). 193–215. 2 indexed citations
18.
19.
Tan, Tao, et al.. (2018). Optimized fuzzy clustering by fast search and find of density peaks. 83–87. 4 indexed citations
20.
Kozegar, Ehsan, et al.. (2017). Determining Mass Boundary in 3D Automated Breast Ultrasound Images Using a Deformable Model. 10(2). 16–26.

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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