Pheng-Ann Heng

Active 1991–2026

Also published as
Pheng‐Ann Heng
765
Papers
55,683
Citations
113
h-index
456
i10-index

Citations

Citations per year for Pheng-Ann Heng1941: 1 citations1960: 2 citations1963: 1 citations1969: 2 citations1971: 1 citations1978: 1 citations1981: 3 citations1984: 1 citations1985: 1 citations1986: 1 citations1988: 1 citations1989: 1 citations1990: 1 citations1992: 3 citations1993: 5 citations1994: 8 citations1995: 5 citations1996: 4 citations1997: 7 citations1998: 9 citations1999: 16 citations2000: 23 citations2001: 29 citations2002: 46 citations2003: 75 citations2004: 96 citations2005: 131 citations2006: 131 citations2007: 168 citations2008: 154 citations2009: 177 citations2010: 198 citations2011: 188 citations2012: 208 citations2013: 258 citations2014: 272 citations2015: 259 citations2016: 362 citations2017: 691 citations2018: 1,261 citations2019: 2,328 citations2020: 3,260 citations2021: 3,917 citations2022: 3,911 citations2023: 4,271 citations2024: 5,052 citations2025: 4,620 citations2026: 1,533 citations2027: 2 citations1942–1959: no citations, so these years are not shown1961–1962: no citations, so these years are not shown1964–1968: no citations, so these years are not shown1970: no citations, so this year is not shown1972–1977: no citations, so these years are not shown1979–1980: no citations, so these years are not shown1982–1983: no citations, so these years are not shown1987: no citations, so this year is not shown1991: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 12,184 citing papers, 33.5% of this breakdownUnited States: 4,896 citing papers, 13.4% of this breakdownUnited Kingdom: 2,029 citing papers, 5.6% of this breakdownHong Kong: 1,584 citing papers, 4.4% of this breakdownIndia: 1,501 citing papers, 4.1% of this breakdownGermany: 1,141 citing papers, 3.1% of this breakdownCanada: 1,098 citing papers, 3% of this breakdownAustralia: 946 citing papers, 2.6% of this breakdownSouth Korea: 845 citing papers, 2.3% of this breakdownFrance: 717 citing papers, 2% of this breakdownSingapore: 710 citing papers, 2% of this breakdownJapan: 671 citing papers, 1.8% of this breakdown
0%33.5%Other 22.2%

Fields

  • Computer Science52.7%
  • Medicine27.3%
  • Engineering9.8%
  • Neuroscience3.4%
  • Biochemistry, Genetics and Molecular Biology1.9%
  • Physics and Astronomy0.9%
  • Other4%

Topics

  • AI in cancer detection7.7%
  • Advanced Neural Network Applications6%
  • Radiomics and Machine Learning in Medical Imaging5.7%
  • Medical Image Segmentation Techniques4.4%
  • COVID-19 diagnosis using AI3.1%
  • Brain Tumor Detection and Classification2.2%
  • Other70.9%

Coauthors

All papers

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  1. Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Ivana Isgum, Yeonggul Jang, Yoonmi Hong, Jay Patravali, Shubham Jain, Olivier Humbert, Pierre-Marc Jodoin - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2018 cited by 2,256

  2. Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Mustafa Ümit Öner, Rengül Çetin-Atalay, Matt Berseth, Vitali Khvatkov, Alexei Vylegzhanin, Oren Kraus, Muhammad Shaban, Nasir Rajpoot, Ruqayya Awan, Korsuk Sirinukunwattana, Talha Qaiser, Yee‐Wah Tsang, David Tellez, Jonas Annuscheit, Peter Hufnagl, Mira Valkonen, Kimmo Kartasalo, Leena Latonen, Pekka Ruusuvuori, Kaisa Liimatainen, Shadi Albarqouni, Bharti Mungal, Ami George, Stefanie Demirci, Nassir Navab, Seiryo Watanabe, Shigeto Seno, Yoichi Takenaka, Hideo Matsuda, Hady Ahmady Phoulady, Vassili Kovalev, Alexander Kalinovsky, Vitali Liauchuk, Gloria Bueno, M. Milagro Fernández-Carrobles, Ismael Serrano, Óscar Déniz, Daniel Racoceanu, Rui Venâncio - JAMA 2017 cited by 3,297

  3. The Liver Tumor Segmentation Benchmark (LiTS)

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Jan Kirschke, Benedikt Wiestler, Zhiheng Zhang, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Michela Antonelli, Woong Bae, Miriam Bellver, Lei Bi, Hao Chen, Grzegorz Chlebus, Erik B. Dam, Qi Dou, Chi-Wing Fu, Bogdan Georgescu, Xavier Giró-i-Nieto, Felix Grün, Xu Han, Pheng-Ann Heng, Jürgen Hesser, Jan Hendrik Moltz, Christian Igel, Fabian Isensee, Paul Jäger, Fucang Jia, Krishna Chaitanya Kaluva, Mahendra Khened, Ildoo Kim, Jae-Hun Kim, Sungwoong Kim, Simon Kohl, Tomasz K. Konopczynski, Avinash Kori, Ganapathy Krishnamurthi, Fan Li, Hongchao Li, Junbo Li, Xiaomeng Li, John S. Lowengrub, Jun Ma, Klaus H. Maier-Hein, Kevis-Kokitsi Maninis, Hans Meine, Dorit Merhof, Akshay Pai, Mathias Perslev, Jens Petersen, Jordi Pont-Tuset, Jin Qi, Xiaojuan Qi, Oliver Rippel, Karsten Roth, Ignacio Sarasua, Andrea Schenk, Zengming Shen, Jordi Torres, Christian Wachinger, Chunliang Wang, Leon Weninger, Jianrong Wu, Daguang Xu, Xiaoping Yang, Simon Chun-Ho Yu, Yading Yuan, Miao Yue, Liping Zhang, Manuel Jorge Cardoso, Spyridon Bakas, Rickmer Braren and 9 more - Medical Image Analysis, Medical Image Anal. 2022 cited by 1,164

  4. REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Hrvoje Bogunović - Medical Image Analysis, Medical Image Anal. 2019 cited by 819

  5. A Survey on Generative Diffusion Models

    Authors: , , , , , , - IEEE Transactions on Knowledge and Data Engineering, IEEE Trans. Knowl. Data Eng. 2024 cited by 452

  6. Gland Segmentation in Colon Histology Images: The GlaS Challenge Contest

    Authors: , , , , , , , , , , , , , , , , , , - Medical Image Analysis, Medical Image Anal. 2016 cited by 961

  7. A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Cristiana Corsi, Coen de Vente, Mitko Veta, Rashed Karim, Chandrakanth Jayachandran Preetha, Sandy Engelhardt, Menyun Qiao, Yuanyuan Wang, Qian Tao, Marta Nuñez‐Garcia, Óscar Cámara, Nicoló Savioli, Pablo Lamata, Jichao Zhao - Medical Image Analysis, Medical Image Anal. 2020 cited by 479

  8. Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Bram van Ginneken, Colin Jacobs - Medical Image Analysis, Medical Image Anal. 2017 cited by 1,332

  9. 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

  10. Transformation-Consistent Self-Ensembling Model for Semisupervised Medical Image Segmentation

    Authors: , , , , , - IEEE Transactions on Neural Networks and Learning Systems, IEEE Trans. Neural Networks Learn. Syst. 2020 cited by 539

  11. Point-Bind & Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction Following

    Authors: , , , , , , , , , , - arXiv (Cornell University), CoRR 2023 cited by 173

  12. HybridVLA: Collaborative Diffusion and Autoregression in a Unified Vision-Language-Action Model

    Authors: , , , , , , , , , , , , , , - ArXiv.org, CoRR 2025 cited by 159

  13. Federated learning enables big data for rare cancer boundary detection

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , John W. Garrett, Matthew Larson, Robert Jeraj, Stuart Currie, Russell Frood, Kavi Fatania, Raymond Y. Huang, Ken Chang, Carmen Balañá, Jaume Capellades, Josep Puig, Johannes Trenkler, Josef Pichler, Georg Necker, Andreas Haunschmidt, Stephan Meckel, Gaurav Shukla, Spencer Liem, Gregory S. Alexander, Joseph S. Lombardo, Joshua D. Palmer, Adam E. Flanders, Adam P. Dicker, Haris I. Sair, Craig Jones, Archana Venkataraman, Meirui Jiang, Tiffany Y. So, Cheng Chen, Pheng‐Ann Heng, Qi Dou, Michal Kozubek, Filip Lux, Jan Michálek, Petr Matula, Miloš Keřkovský, Tereza Kopřivová, Marek Dostál, Václav Vybíhal, Michael A. Vogelbaum, J. Ross Mitchell, Joaquim M. Farinhas, Joseph A. Maldjian, Chandan Ganesh Bangalore Yogananda, Marco C. Pinho, Divya Reddy, James Holcomb, Benjamin Wagner, Benjamin M. Ellingson, Timothy F. Cloughesy, Catalina Raymond, Talia C. Oughourlian, Akifumi Hagiwara, Chencai Wang, Minh‐Son To, Sargam Bhardwaj, Chee Chong, Marc Agzarian, Alexandre X. Falcão, Samuel Botter Martins, Bernardo Corrêa de Almeida Teixeira, F Sprenger, David Menotti, Diego Rafael Lucio, Pamela LaMontagne, Daniel S. Marcus, Benedikt Wiestler, Florian Kofler, Ivan Ezhov, Marie Metz and 179 more - Nature Communications 2022 cited by 340

  14. T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

    Authors: , , , , , , , , - NeurIPS 2025 cited by 137

  15. Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks

    Authors: , , , , - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2016 cited by 1,139

  16. Global Guidance Network for Breast Lesion Segmentation in Ultrasound Images

    Authors: , , , , , , - Medical Image Analysis, Medical Image Anal. 2021 cited by 221

  17. CANet: Cross-Disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading

    Authors: , , , , , - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2019 cited by 447

  18. MS-Net: Multi-Site Network for Improving Prostate Segmentation With Heterogeneous MRI Data

    Authors: , , , - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2020 cited by 286

  19. Depth-Attentional Features for Single-Image Rain Removal

    Authors: , , , - IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2019 cited by 389

  20. Semi-Supervised Medical Image Classification With Relation-Driven Self-Ensembling Model

    Authors: , , , , - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2020 cited by 280

  21. DoFE: Domain-Oriented Feature Embedding for Generalizable Fundus Image Segmentation on Unseen Datasets

    Authors: , , , , , - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2020 cited by 195

  22. Weakly Supervised Deep Learning for Whole Slide Lung Cancer Image Analysis

    Authors: , , , , , , , , - IEEE Transactions on Cybernetics, IEEE Trans. Cybern. 2019 cited by 407

  23. A Survey of Reasoning with Foundation Models

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Yike Guo, Hui Xiong, Qun Liu, Zhenguo Li - arXiv (Cornell University), CoRR 2023 cited by 99

  24. Learning Semantic Context from Normal Samples for Unsupervised Anomaly Detection

    Authors: , , , , - AAAI Conference on Artificial Intelligence 2021 cited by 174