Xiaomeng Li

Active 1994–2026

Also published as
XiaoMeng Li
508
Papers
19,935
Citations
64
h-index
278
i10-index

Citations

Citations per year for Xiaomeng Li1985: 1 citations1988: 1 citations2001: 1 citations2002: 2 citations2003: 1 citations2004: 1 citations2005: 5 citations2006: 7 citations2007: 7 citations2008: 4 citations2009: 7 citations2010: 4 citations2011: 6 citations2012: 11 citations2013: 8 citations2014: 20 citations2015: 30 citations2016: 41 citations2017: 49 citations2018: 102 citations2019: 264 citations2020: 508 citations2021: 831 citations2022: 905 citations2023: 1,112 citations2024: 1,692 citations2025: 1,542 citations2026: 385 citations2027: 1 citations1986–1987: no citations, so these years are not shown1989–2000: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 3,611 citing papers, 37.1% of this breakdownUnited States: 1,126 citing papers, 11.6% of this breakdownIndia: 419 citing papers, 4.3% of this breakdownUnited Kingdom: 410 citing papers, 4.2% of this breakdownHong Kong: 332 citing papers, 3.4% of this breakdownGermany: 246 citing papers, 2.5% of this breakdownAustralia: 229 citing papers, 2.3% of this breakdownCanada: 214 citing papers, 2.2% of this breakdownSouth Korea: 202 citing papers, 2.1% of this breakdownItaly: 163 citing papers, 1.7% of this breakdownFrance: 157 citing papers, 1.6% of this breakdownSingapore: 143 citing papers, 1.5% of this breakdown
0%37.1%Other 25.5%

Fields

  • Computer Science30.6%
  • Medicine29.6%
  • Biochemistry, Genetics and Molecular Biology15%
  • Engineering8.6%
  • Agricultural and Biological Sciences3.3%
  • Neuroscience2.9%
  • Other10%

Topics

  • Advanced Neural Network Applications5.4%
  • AI in cancer detection4.7%
  • Radiomics and Machine Learning in Medical Imaging3.7%
  • Medical Image Segmentation Techniques3.5%
  • COVID-19 diagnosis using AI2.4%
  • Retinal Imaging and Analysis2.1%
  • Other78.2%

Coauthors

All papers

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  1. 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

  2. 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

  3. CLIP Surgery for Better Explainability with Enhancement in Open-Vocabulary Tasks

    Authors: , , , , , - Pattern Recognition, Pattern Recognit. 2025 cited by 132

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

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

  5. 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

  6. Patient‐Derived Organoids from Colorectal Cancer with Paired Liver Metastasis Reveal Tumor Heterogeneity and Predict Response to Chemotherapy

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Junjie Peng, Guoqiang Hua - Advanced Science 2022 cited by 190

  7. The Liver Tumor Segmentation Benchmark (LiTS)

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Jan S. Kirschke, Benedikt Wiestler, Zhiheng Zhang, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Michela Antonelli, Woong Bae, Míriam Bellver, Lei Bi, Hao Chen, Grzegorz Chlebus, Erik B. Dam, Qi Dou, Chi‐Wing Fu, Bogdan Georgescu, Xavier Giró-i-Nieto, Felix Gruen, Xu Han, Pheng‐Ann Heng, Jürgen Hesser, Jan Hendrik Moltz, Christian Igel, Fabian Isensee, Paul F. Jäger, Fucang Jia, Krishna Chaitanya Kaluva, Mahendra Khened, Ildoo Kim, Jae Hun Kim, Sungwoong Kim, Simon Köhl, Tomasz Konopczyński, Avinash Kori, Ganapathy Krishnamurthi, Fan Li, Hongchao Li, Junbo Li, Xiaomeng Li, John Lowengrub, Jun Ma, Klaus Maier‐Hein, Kevis-Kokitsi Maninis, Hans Meine, Dorit Merhof, Akshay Pai, Mathias Perslev, Jens Petersen, Jordi Pont-Tuset, Qi Jin, Xiaojuan Qi, Oliver Rippel, Karsten Roth, Ignacio Sarasúa, Andrea Schenk, Zengming Shen, Jordi Torres, Christian Wachinger, Chunliang Wang, Leon Weninger, Jianrong Wu, Daguang Xu, Xiaoping Yang, Simon C.H. Yu, Yading Yuan, Miao Yu, Liping Zhang, M. Jorge Cardoso, Spyridon Bakas, Rickmer Braren and 9 more - CoRR 2019 cited by 360

  8. ImageCAS: A large-scale dataset and benchmark for coronary artery segmentation based on computed tomography angiography images

    Authors: , , , , , , , , , , , , , , - Computerized Medical Imaging and Graphics, Comput. Medical Imaging Graph. 2023 cited by 101

  9. HiLM-D: Towards High-Resolution Understanding in Multimodal Large Language Models for Autonomous Driving

    Authors: , , , , - arXiv (Cornell University), CoRR 2023 cited by 66

  10. Cross-Domain Recommendation via Progressive Structural Alignment

    Authors: , , , , , - IEEE Transactions on Knowledge and Data Engineering, IEEE Trans. Knowl. Data Eng. 2023 cited by 65

  11. Self-Supervised Feature Learning via Exploiting Multi-Modal Data for Retinal Disease Diagnosis

    Authors: , , , , - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2009 cited by 147

  12. Uncertainty Estimation via Response Scaling for Pseudo-Mask Noise Mitigation in Weakly-Supervised Semantic Segmentation

    Authors: , , , , , - AAAI Conference on Artificial Intelligence 2022 cited by 81

  13. Functional Hydrogels With Tunable Structures and Properties for Tissue Engineering Applications

    Authors: , , , , - Frontiers in Chemistry 2018 cited by 330

  14. Rotation-Oriented Collaborative Self-Supervised Learning for Retinal Disease Diagnosis

    Authors: , , , , , , - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2021 cited by 106

  15. Role of Plant Derived Alkaloids and Their Mechanism in Neurodegenerative Disorders

    Authors: , , , , , , , , - International Journal of Biological Sciences 2018 cited by 341

  16. WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Haiming Li, Yanfen Cui, Guoqiang Han, Yan Xu, Jun Xu, Huihua Yang, Chunming Li, Zhenbing Liu, Cheng Lu, Xin Chen, Changhong Liang, Qingling Zhang, Zaiyi Liu - arXiv (Cornell University), CoRR 2022 cited by 43

  17. Print-Camera Resistant Image Watermarking With Deep Noise Simulation and Constrained Learning

    Authors: , , , , , - IEEE Transactions on Multimedia, IEEE Trans. Multim. 2023 cited by 37

  18. Identification of ‘erasers’ for lysine crotonylated histone marks using a chemical proteomics approach

    Authors: , , , , , , , , , - eLife 2014 cited by 318

  19. Progress of exosomes in the diagnosis and treatment of lung cancer

    Authors: , , , , , , , , , - Biomedicine & Pharmacotherapy 2020 cited by 179

  20. Extracellular matrix mimicking dynamic interpenetrating network hydrogel for skin tissue engineering

    Authors: , , , , , , - Chemical Engineering Journal 2023 cited by 80

  21. Uncertainty-Aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation

    Authors: , , , , - Lecture notes in computer science, MICCAI (2) 2019 cited by 969

  22. Calibrating Label Distribution for Class-Imbalanced Barely-Supervised Knee Segmentation

    Authors: , , , , - Lecture notes in computer science, MICCAI (8) 2022 cited by 41

  23. Holistic Autonomous Driving Understanding by Bird'View Injected Multi-Modal Large Models

    Authors: , , , , , - IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024 cited by 30

  24. 3D Culture of Chondrocytes in Gelatin Hydrogels with Different Stiffness

    Authors: , , , , , , - Polymers 2016 cited by 226