Yucheng Tang

7.7k total citations · 2 hit papers
85 papers, 3.0k citations indexed

About

Yucheng Tang is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Yucheng Tang has authored 85 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Radiology, Nuclear Medicine and Imaging, 27 papers in Computer Vision and Pattern Recognition and 17 papers in Artificial Intelligence. Recurrent topics in Yucheng Tang's work include Radiomics and Machine Learning in Medical Imaging (21 papers), COVID-19 diagnosis using AI (14 papers) and AI in cancer detection (13 papers). Yucheng Tang is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (21 papers), COVID-19 diagnosis using AI (14 papers) and AI in cancer detection (13 papers). Yucheng Tang collaborates with scholars based in United States, China and Türkiye. Yucheng Tang's co-authors include Bennett A. Landman, Vishwesh Nath, Daguang Xu, Holger R. Roth, Dong Yang, Ali Hatamizadeh, Andriy Myronenko, Wenqi Li, Hakan Akbulut and Albert Deisseroth and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Materials and Blood.

In The Last Decade

Yucheng Tang

80 papers receiving 3.0k citations

Hit Papers

UNETR: Transformers for 3D Medical Image Segmentation 2022 2026 2023 2024 2022 2022 400 800 1.2k
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. UNETR: Transformers for 3D Medical Image Segmentation
    2022 1.4k citations Yucheng Tang, Vishwesh Nath et al. profile →
  2. Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis
    2022 372 citations Yucheng Tang, Wenqi Li 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
Yucheng Tang United States 18 1.3k 1.2k 839 506 482 85 3.0k
Zeynettin Akkus United States 21 579 0.4× 1.5k 1.3× 800 1.0× 492 1.0× 539 1.1× 54 3.2k
Yalin Zheng United Kingdom 33 1.7k 1.2× 3.2k 2.6× 608 0.7× 191 0.4× 790 1.6× 220 4.9k
Arkadiusz Gertych United States 28 474 0.4× 741 0.6× 795 0.9× 124 0.2× 603 1.3× 75 3.2k
Zhong Xue United States 27 943 0.7× 1.3k 1.1× 434 0.5× 252 0.5× 378 0.8× 127 2.9k
David J. Foran United States 30 1.0k 0.8× 795 0.7× 1.2k 1.4× 91 0.2× 464 1.0× 110 3.1k
Jinhua Yu China 31 635 0.5× 2.5k 2.1× 992 1.2× 307 0.6× 781 1.6× 195 4.0k
Su Ruan France 33 2.0k 1.5× 2.0k 1.7× 1.4k 1.6× 842 1.7× 637 1.3× 171 5.0k
Stephen Moore United States 21 1.0k 0.8× 2.4k 2.0× 1.1k 1.3× 351 0.7× 743 1.5× 81 4.5k

Countries citing papers authored by Yucheng Tang

Since Specialization
Citations

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

Fields of papers citing papers by Yucheng Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yucheng Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Yucheng Tang. A scholar is included among the top collaborators of Yucheng Tang 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 Yucheng Tang. Yucheng Tang 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.
Jarvis, Lesley A., Yucheng Tang, David J. Gladstone, et al.. (2025). Robust real‐time segmentation of bio‐morphological features in human cherenkov imaging during radiotherapy via deep learning. Medical Physics. 52(8). e18002–e18002. 1 indexed citations
2.
Diaz‐Pinto, Andres, Vishwesh Nath, Yucheng Tang, et al.. (2024). MONAI Label: A framework for AI-assisted interactive labeling of 3D medical images. Medical Image Analysis. 95. 103207–103207. 36 indexed citations
3.
Yu, Xin, Qi Yang, Yucheng Tang, et al.. (2024). Deep conditional generative model for longitudinal single-slice abdominal computed tomography harmonization. Journal of Medical Imaging. 11(2). 24008–24008. 2 indexed citations
4.
Tang, Yucheng, Jie Liu, Zongwei Zhou, Xin Yu, & Yuankai Huo. (2024). Efficient 3D Representation Learning for Medical Image Analysis. 2. 1 indexed citations
5.
Wang, Yaohong, Shunxing Bao, Yucheng Tang, et al.. (2023). Feasibility of Universal Anomaly Detection Without Knowing the Abnormality in Medical Images. Lecture notes in computer science. 14307. 82–92. 1 indexed citations
6.
Ramadass, Karthik, Xin Yu, Leon Y. Cai, et al.. (2023). Deep whole brain segmentation of 7T structural MRI. PubMed. 12464. 105–105.
7.
Gao, Riqiang, Thomas Li, Yucheng Tang, et al.. (2022). Reducing uncertainty in cancer risk estimation for patients with indeterminate pulmonary nodules using an integrated deep learning model. Computers in Biology and Medicine. 150. 106113–106113. 12 indexed citations
8.
Yu, Xin, Yucheng Tang, Qi Yang, et al.. (2022). Accelerating 2D abdominal organ segmentation with active learning. PubMed. 12032. 120–120. 5 indexed citations
9.
Xu, Kaiwen, Riqiang Gao, Yucheng Tang, et al.. (2022). Extending the value of routine lung screening CT with quantitative body composition assessment. PubMed. 12032. 6 indexed citations
10.
Gao, Riqiang, Yucheng Tang, Kaiwen Xu, et al.. (2021). Cancer Risk Estimation Combining Lung Screening CT with Clinical Data Elements. Radiology Artificial Intelligence. 3(6). e210032–e210032. 11 indexed citations
11.
Gao, Riqiang, Yucheng Tang, Kaiwen Xu, et al.. (2021). Deep multi-path network integrating incomplete biomarker and chest CT data for evaluating lung cancer risk. PubMed. 11596. 46–46. 6 indexed citations
12.
Tang, Yucheng, Riqiang Gao, Ho Hin Lee, et al.. (2021). Renal cortex, medulla and pelvicaliceal system segmentation on arterial phase CT images with random patch-based networks. PubMed. 11596. 42–42. 7 indexed citations
13.
Yang, Yiyuan, Riqiang Gao, Yucheng Tang, et al.. (2020). Internal-transfer weighting of multi-task learning for lung cancer detection. PubMed. 11313. 74–74. 5 indexed citations
14.
Gao, Riqiang, Lingfeng Li, Yucheng Tang, et al.. (2020). Deep multi-task prediction of lung cancer and cancer-free progression from censored heterogenous clinical imaging. PubMed. 11313. 12–12. 6 indexed citations
15.
Tang, Yucheng, Riqiang Gao, Ho Hin Lee, et al.. (2020). Prediction of Type II Diabetes Onset with Computed Tomography and Electronic Medical Records. Lecture notes in computer science. 12445. 13–23. 11 indexed citations
16.
Deisseroth, A. B., et al.. (2012). TAA/ecdCD40L adenoviral prime-protein boost vaccine for cancer and infectious diseases. Cancer Gene Therapy. 20(2). 65–69. 6 indexed citations
17.
Tan, Ngan-Meng, Damon Wing Kee Wong, Jiang Liu, et al.. (2009). Automatic detection of the macula in the retinal fundus image by detecting regions with low pixel intensity. National University of Singapore. 1–5. 21 indexed citations
18.
19.
Tang, Yucheng, Hakan Akbulut, Xiangming Fang, et al.. (2006). Vector Prime/Protein Boost Vaccine That Overcomes Defects Acquired during Aging and Cancer. The Journal of Immunology. 177(8). 5697–5707. 12 indexed citations
20.
Zhang, Lixin, Yucheng Tang, Hakan Akbulut, et al.. (2003). An adenoviral vector cancer vaccine that delivers a tumor-associated antigen/CD40-ligand fusion protein to dendritic cells. Proceedings of the National Academy of Sciences. 100(25). 15101–15106. 56 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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