Dinggang Shen

Active 1957–2026

1,565
Papers
87,039
Citations
147
h-index
980
i10-index

Citations

Citations per year for Dinggang Shen1939: 1 citations1954: 2 citations1957: 8 citations1959: 1 citations1961: 7 citations1963: 1 citations1965: 2 citations1967: 3 citations1969: 3 citations1974: 21 citations1975: 8 citations1977: 1 citations1978: 4 citations1980: 1 citations1984: 3 citations1985: 1 citations1986: 2 citations1988: 8 citations1990: 4 citations1991: 1 citations1992: 4 citations1993: 1 citations1994: 11 citations1995: 1 citations1996: 5 citations1997: 6 citations1998: 7 citations1999: 11 citations2000: 42 citations2001: 50 citations2002: 82 citations2003: 97 citations2004: 144 citations2005: 202 citations2006: 280 citations2007: 321 citations2008: 363 citations2009: 422 citations2010: 519 citations2011: 722 citations2012: 730 citations2013: 1,089 citations2014: 1,273 citations2015: 1,360 citations2016: 1,496 citations2017: 2,103 citations2018: 3,198 citations2019: 4,712 citations2020: 5,655 citations2021: 6,457 citations2022: 5,651 citations2023: 5,655 citations2024: 6,988 citations2025: 5,479 citations2026: 1,342 citations2027: 4 citations1940–1953: no citations, so these years are not shown1955–1956: no citations, so these years are not shown1958: no citations, so this year is not shown1960: no citations, so this year is not shown1962: no citations, so this year is not shown1964: no citations, so this year is not shown1966: no citations, so this year is not shown1968: no citations, so this year is not shown1970–1973: no citations, so these years are not shown1976: no citations, so this year is not shown1979: no citations, so this year is not shown1981–1983: no citations, so these years are not shown1987: no citations, so this year is not shown1989: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 13,316 citing papers, 27.6% of this breakdownUnited States: 9,479 citing papers, 19.7% of this breakdownUnited Kingdom: 2,697 citing papers, 5.6% of this breakdownIndia: 2,108 citing papers, 4.4% of this breakdownCanada: 1,554 citing papers, 3.2% of this breakdownSouth Korea: 1,422 citing papers, 2.9% of this breakdownGermany: 1,395 citing papers, 2.9% of this breakdownAustralia: 1,338 citing papers, 2.8% of this breakdownFrance: 1,135 citing papers, 2.4% of this breakdownHong Kong: 928 citing papers, 1.9% of this breakdownItaly: 808 citing papers, 1.7% of this breakdownNetherlands: 762 citing papers, 1.6% of this breakdown
0%27.6%Other 23.3%

Fields

  • Computer Science34.7%
  • Medicine32.4%
  • Neuroscience15.3%
  • Engineering6.9%
  • Biochemistry, Genetics and Molecular Biology2.9%
  • Dentistry1.8%
  • Other6%

Topics

  • Medical Image Segmentation Techniques5.4%
  • AI in cancer detection5.1%
  • Radiomics and Machine Learning in Medical Imaging4.7%
  • Functional Brain Connectivity Studies4.2%
  • Advanced Neural Network Applications3.6%
  • Brain Tumor Detection and Classification3.5%
  • Other73.5%

Coauthors

All papers

Open in search
  1. Deep Learning in Medical Image Analysis

    Authors: , , - Annual Review of Biomedical Engineering 2017 cited by 4,788

  2. Cross-level Feature Aggregation Network for Polyp Segmentation

    Authors: , , , , , , - Pattern Recognition, Pattern Recognit. 2023 cited by 306

  3. A deep learning system for detecting diabetic retinopathy across the disease spectrum

    Authors: , , , , , , , , , , , , , , , , , , , - Nature Communications 2021 cited by 591

  4. Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part III

    Authors: , , , , , , , - Lecture notes in computer science, MICCAI (3) 2019 cited by 540

  5. Transformers in medical image analysis

    Authors: , , , , , , , , , - Intelligent Medicine 2022 cited by 438

  6. A Multi-Organ Nucleus Segmentation Challenge

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Isabella Ellinger, Rupert Ecker, Örjan Smedby, Chunliang Wang, Benjamin Chidester, That-Vinh Ton, Minh-Triet Tran, Jian Ma, Minh N. Do, Simon Graham, Quoc Dang Vu, Jin Tae Kwak, Akshaykumar Gunda, Raviteja Chunduri, Corey Hu, Xiaoyang Zhou, Dariush Lotfi, Reza Safdari, Antanas Kascenas, Alison O'Neil, Dennis Eschweiler, Johannes Stegmaier, Yanping Cui, Baocai Yin, Kailin Chen, Xinmei Tian, Philipp Grüning, Erhardt Barth, Elad Arbel, Itay Remer, Amir Ben-Dor, Ekaterina Sirazitdinova, Matthias Kohl, Stefan Braunewell, Yuexiang Li, Xinpeng Xie, Linlin Shen, Jun Ma, Krishanu Das Baksi, Mohammad Azam Khan, Jaegul Choo, Adrián Colomer, Valery Naranjo, Linmin Pei, Khan M. Iftekharuddin, Kaushiki Roy, Debotosh Bhattacharjee, Aníbal Pedraza, Maria Gloria Bueno, Sabarinathan Devanathan, Saravanan Radhakrishnan, Praveen Koduganty, Zihan Wu, Guanyu Cai, Xiaojie Liu, Yuqin Wang, Amit Sethi - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2019 cited by 544

  7. A deep learning system for predicting time to progression of diabetic retinopathy

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Lei Ruan, Feng Lu, Miao-Li Chee, Ten Cheer Quek, Ramyaa Srinivasan, Rajiv Raman, Xiaodong Sun, Ya Xing Wang, Jiarui Wu, Hai Jin, Rongping Dai, Dinggang Shen, Xiaokang Yang, Minyi Guo, Cuntai Zhang, Carol Y. Cheung, Gavin Siew Wei Tan, Yih Chung Tham, Ching‐Yu Cheng, Huating Li, Tien Yin Wong, Weiping Jia - Nature Medicine 2024 cited by 302

  8. Evaluation of OpenAI o1: Opportunities and Challenges of AGI

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Yiming Ren, Shihuan Qin, Tong Chen, Jiaxi Li, Arif Hassan Zidan, Afrar Jahin, Minheng Chen, Sichen Xia, Jason Holmes, Yan Zhuang, Jiaqi Wang, Bochen Xu, Weiran Xia, Jichao Yu, Kaibo Tang, Yaxuan Yang, Bolun Sun, Tao Yang, Guoyu Lu, Xianqiao Wang, Lilong Chai, He Li, Jin Lu, Lichao Sun, Xin Zhang, Bao Ge, Xintao Hu, Lian Zhang, Hua Zhou, Lu Zhang, Shu Zhang, Ninghao Liu, Bei Jiang, Linglong Kong, Zhen Xiang, Yudan Ren, Jun Liu, Xi Jiang, Yu Bao, Wei Zhang, Xiang Li, Gang Li, Wei Liu, Dinggang Shen, Andrea Sikora, Xiaoming Zhai, Dajiang Zhu, Tianming Liu - arXiv (Cornell University), CoRR 2024 cited by 150

  9. ChatAug: Leveraging ChatGPT for Text Data Augmentation

    Authors: , , , , , , , , , , , , , , , , , - arXiv (Cornell University), CoRR 2023 cited by 210

  10. DoctorGLM: Fine-tuning your Chinese Doctor is not a Herculean Task

    Authors: , , , , , , , - arXiv (Cornell University), CoRR 2023 cited by 177

  11. Hierarchical Fully Convolutional Network for Joint Atrophy Localization and Alzheimer's Disease Diagnosis Using Structural MRI

    Authors: , , , - IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Trans. Pattern Anal. Mach. Intell. 2018 cited by 551

  12. A fully automatic AI system for tooth and alveolar bone segmentation from cone-beam CT images

    Authors: , , , , , , , , , , , , , , , - Nature Communications 2022 cited by 313

  13. IDRiD: Diabetic Retinopathy - Segmentation and Grading Challenge

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Varghese Alex, Xingzheng Lyu, Li Cheng, Qinhao Chu, Pengcheng Li, Xin Ji, Sanyuan Zhang, Yaxin Shen, Ling Dai, Oindrila Saha, Rachana Sathish, Tânia Melo, Teresa Araújo, Balázs Harangi, Bin Sheng, Ruogu Fang, Debdoot Sheet, András Hajdú, Yuanjie Zheng, Ana Maria Mendonc̨a, Shaoting Zhang, Aurélio Campilho, Bin Zheng, Dinggang Shen, Luca Giancardo, Gwenolé Quellec, Fabrice Mériaudeau - Medical Image Analysis, Medical Image Anal. 2019 cited by 356

  14. Multi-task learning for segmentation and classification of tumors in 3D automated breast ultrasound images

    Authors: , , , , , , , - Medical Image Analysis, Medical Image Anal. 2020 cited by 337

  15. ChatCAD: Interactive Computer-Aided Diagnosis on Medical Image using Large Language Models

    Authors: , , , , - arXiv (Cornell University), CoRR 2023 cited by 164

  16. Late Fusion Incomplete Multi-View Clustering

    Authors: , , , , , , , , - IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Trans. Pattern Anal. Mach. Intell. 2018 cited by 364

  17. DeepDRiD: Diabetic Retinopathy - Grading and Image Quality Estimation Challenge

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , - Patterns 2022 cited by 192

  18. DeID-GPT: Zero-shot Medical Text De-Identification by GPT-4

    Authors: , , , , , , , , , , , , , , , , , - arXiv (Cornell University), CoRR 2023 cited by 155

  19. Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19

    Authors: , , , , , , , , - IEEE Reviews in Biomedical Engineering 2020 cited by 1,010

  20. Medical Image Synthesis with Deep Convolutional Adversarial Networks

    Authors: , , , , , , , - IEEE Transactions on Biomedical Engineering, IEEE Trans. Biomed. Eng. 2018 cited by 621

  21. Prompt Engineering for Healthcare: Methodologies and Applications

    Authors: , , , , , , , , , , , , , , , , , , , , , , , - arXiv (Cornell University), CoRR 2023 cited by 118

  22. 3D conditional generative adversarial networks for high-quality PET image estimation at low dose

    Authors: , , , , , , , , , - NeuroImage 2018 cited by 457

  23. Multimodal classification of Alzheimer's disease and mild cognitive impairment

    Authors: , , , , - NeuroImage 2011 cited by 1,273

  24. CLIP in Medical Imaging: A Comprehensive Survey

    Authors: , , , , , , , , , , - arXiv (Cornell University), CoRR 2023 cited by 91