Tianfu Wang

Active 1981–2026

413
Papers
18,535
Citations
66
h-index
226
i10-index

Citations

Citations per year for Tianfu Wang1979: 1 citations1981: 5 citations1985: 1 citations1991: 4 citations1992: 1 citations1997: 1 citations2000: 1 citations2002: 1 citations2003: 5 citations2004: 2 citations2005: 8 citations2006: 3 citations2007: 12 citations2008: 7 citations2009: 13 citations2010: 5 citations2011: 21 citations2012: 11 citations2013: 26 citations2014: 56 citations2015: 74 citations2016: 152 citations2017: 261 citations2018: 367 citations2019: 719 citations2020: 982 citations2021: 1,309 citations2022: 1,312 citations2023: 1,429 citations2024: 1,629 citations2025: 1,393 citations2026: 446 citations2027: 2 citations1980: no citations, so this year is not shown1982–1984: no citations, so these years are not shown1986–1990: no citations, so these years are not shown1993–1996: no citations, so these years are not shown1998–1999: no citations, so these years are not shown2001: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 4,301 citing papers, 35.8% of this breakdownUnited States: 1,319 citing papers, 11% of this breakdownIndia: 805 citing papers, 6.7% of this breakdownUnited Kingdom: 624 citing papers, 5.2% of this breakdownAustralia: 307 citing papers, 2.5% of this breakdownHong Kong: 295 citing papers, 2.5% of this breakdownCanada: 294 citing papers, 2.4% of this breakdownGermany: 265 citing papers, 2.2% of this breakdownSaudi Arabia: 230 citing papers, 1.9% of this breakdownSouth Korea: 215 citing papers, 1.8% of this breakdownPakistan: 188 citing papers, 1.6% of this breakdownSingapore: 181 citing papers, 1.5% of this breakdown
0%35.8%Other 24.9%

Fields

  • Medicine36.2%
  • Computer Science30.9%
  • Engineering13.7%
  • Neuroscience8.3%
  • Biochemistry, Genetics and Molecular Biology4.3%
  • Materials Science1.1%
  • Other5.5%

Topics

  • AI in cancer detection7.9%
  • Radiomics and Machine Learning in Medical Imaging4.4%
  • Brain Tumor Detection and Classification3.5%
  • Advanced Neural Network Applications3.3%
  • Medical Image Segmentation Techniques3.2%
  • Retinal Imaging and Analysis2.7%
  • Other75%

Coauthors

All papers

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  1. Deep Learning in Medical Ultrasound Analysis: A Review

    Authors: , , , , , , , - Engineering 2019 cited by 782

  2. VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Xinjun Ma, Christoph Angerman, Xin Wang, Kevin Brown, Alexandre Kirszenberg, Élodie Puybareau, Di Chen, Yiwei Bai, Brandon H. Rapazzo, Timyoas Yeah, Amber Zhang, Shangliang Xu, Feng Hou, Zhiqiang He, Chan Zeng, Zheng Xiangshang, Xu Liming, Tucker J. Netherton, Raymond P. Mumme, Laurence E. Court, Zixun Huang, Chenhang He, Li-Wen Wang, Sai Ho Ling, Lê Duy Huynh, Nicolas Boutry, Roman Jakubícek, Jirí Chmelík, Supriti Mulay, Mohanasankar Sivaprakasam, Johannes C. Paetzold, Suprosanna Shit, Ivan Ezhov, Benedikt Wiestler, Ben Glocker, Alexander Valentinitsch, Markus Rempfler, Björn H. Menze, Jan S. Kirschke - Medical Image Analysis, Medical Image Anal. 2021 cited by 351

  3. Multicenter and Multichannel Pooling GCN for Early AD Diagnosis Based on Dual-Modality Fused Brain Network

    Authors: , , , , , , , - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2022 cited by 124

  4. Skin lesion segmentation via generative adversarial networks with dual discriminators

    Authors: , , , , , , , , , - Medical Image Analysis, Medical Image Anal. 2020 cited by 278

  5. Boundary uncertainty aware network for automated polyp segmentation

    Authors: , , , , , , - Neural Networks 2023 cited by 78

  6. Boundary Constraint Network With Cross Layer Feature Integration for Polyp Segmentation

    Authors: , , , , , - IEEE Journal of Biomedical and Health Informatics, IEEE J. Biomed. Health Informatics 2022 cited by 115

  7. Deep Learning Framework for Alzheimer's Disease Diagnosis via 3D-CNN and FSBi-LSTM

    Authors: , , , , , , , - IEEE Access 2019 cited by 278

  8. 3D Multimodal Fusion Network With Disease-Induced Joint Learning for Early Alzheimer's Disease Diagnosis

    Authors: , , , , , , , , - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2024 cited by 63

  9. Multi-scale enhanced graph convolutional network for mild cognitive impairment detection

    Authors: , , , , , , , , , , , , - Pattern Recognition, Pattern Recognit. 2022 cited by 85

  10. Attention-Guided Pyramid Context Network for Polyp Segmentation in Colonoscopy Images

    Authors: , , , , , - IEEE Transactions on Instrumentation and Measurement, IEEE Trans. Instrum. Meas. 2023 cited by 79

  11. 3D Multi-Attention Guided Multi-Task Learning Network for Automatic Gastric Tumor Segmentation and Lymph Node Classification

    Authors: , , , , , , , , , - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2021 cited by 146

  12. Dual-Constraint Coarse-to-Fine Network for Camouflaged Object Detection

    Authors: , , , , , , , , - IEEE Transactions on Circuits and Systems for Video Technology, IEEE Trans. Circuits Syst. Video Technol. 2023 cited by 57

  13. Glucose‐Responsive Sequential Generation of Hydrogen Peroxide and Nitric Oxide for Synergistic Cancer Starving‐Like/Gas Therapy

    Authors: , , , , , , , , , , , , - Angewandte Chemie 2016 cited by 644

  14. Graph convolution network with similarity awareness and adaptive calibration for disease-induced deterioration prediction

    Authors: , , , , , , , - Medical Image Analysis, Medical Image Anal. 2020 cited by 121

  15. Federated Domain Adaptation via Transformer for Multi-Site Alzheimer's Disease Diagnosis

    Authors: , , , , , , , , , , , , , - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2023 cited by 63

  16. Breast Cancer Detection and Diagnosis Using Mammographic Data: Systematic Review

    Authors: , , , - Journal of Medical Internet Research 2019 cited by 269

  17. Deeply-Supervised Networks With Threshold Loss for Cancer Detection in Automated Breast Ultrasound

    Authors: , , , , , , , , , - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2019 cited by 181

  18. Explaining Length Bias in LLM-Based Preference Evaluations

    Authors: , , , , , , , , , - Findings of the Association for Computational Linguistics: EMNLP 2025, EMNLP (Findings) 2025 cited by 42

  19. FUIQA: Fetal Ultrasound Image Quality Assessment With Deep Convolutional Networks

    Authors: , , , , , - IEEE Transactions on Cybernetics, IEEE Trans. Cybern. 2017 cited by 245

  20. PD‐1 Blockade Cellular Vesicles for Cancer Immunotherapy

    Authors: , , , , , , , , , , , , , - Advanced Materials 2018 cited by 294

  21. Attention-Driven Cascaded Network for Diabetic Retinopathy Grading from Fundus Images

    Authors: , , , , , - Biomedical Signal Processing and Control, Biomed. Signal Process. Control. 2022 cited by 64

  22. CR-Unet: A Composite Network for Ovary and Follicle Segmentation in Ultrasound Images

    Authors: , , , , , , , , , - IEEE Journal of Biomedical and Health Informatics, IEEE J. Biomed. Health Informatics 2019 cited by 119

  23. A Generic Quality Control Framework for Fetal Ultrasound Cardiac Four-Chamber Planes

    Authors: , , , , , , - IEEE Journal of Biomedical and Health Informatics, IEEE J. Biomed. Health Informatics 2019 cited by 98

  24. Dual attention enhancement feature fusion network for segmentation and quantitative analysis of paediatric echocardiography

    Authors: , , , , , , , , , - Medical Image Analysis, Medical Image Anal. 2021 cited by 82