Chao Li

5.0k total citations · 1 hit paper
137 papers, 3.2k citations indexed

About

Chao Li is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Genetics. According to data from OpenAlex, Chao Li has authored 137 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Radiology, Nuclear Medicine and Imaging, 34 papers in Computer Vision and Pattern Recognition and 33 papers in Genetics. Recurrent topics in Chao Li's work include Glioma Diagnosis and Treatment (31 papers), Advanced Neuroimaging Techniques and Applications (20 papers) and Radiomics and Machine Learning in Medical Imaging (20 papers). Chao Li is often cited by papers focused on Glioma Diagnosis and Treatment (31 papers), Advanced Neuroimaging Techniques and Applications (20 papers) and Radiomics and Machine Learning in Medical Imaging (20 papers). Chao Li collaborates with scholars based in China, United Kingdom and United States. Chao Li's co-authors include Shiliang Pu, Di Xie, Qiaoyong Zhong, David Klenerman, Stephen J. Price, Huiming Tang, Max J. Lab, Pavel Novák, Victor P. Ostanin and Yuri E. Korchev and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Brain and Nature Methods.

In The Last Decade

Chao Li

125 papers receiving 3.1k citations

Hit Papers

align trajectories

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.

Nanoscale live-cell imaging using hopping probe ion conductance microscopy

2009 412 citations Chao Li et al. profile →

Peers

Chao Li

CVPR

AI

BE

AMPO

RNMI

Yanfeng Wang China

Xudong Jiang Singapore

Yongjie Li China

Ziming Zhang China

Shuqiang Wang China

Feng Tian China

Guofeng Zhang China

Xinlei Chen China

Yi Wang China

Feng Chen China

Yanfeng Wang China

Chao Li

564 ×0.5

CVPR

712 ×1.4

AI

329 ×0.7

BE

43 ×0.1

AMPO

73 ×0.2

RNMI

Citations per year, relative to Chao Li Chao Li (= 1×) peers Yanfeng Wang

Countries citing papers authored by Chao Li

Since Specialization

Citations

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

Fields of papers citing papers by Chao Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao Li

This figure shows the co-authorship network connecting the top 25 collaborators of Chao Li. A scholar is included among the top collaborators of Chao Li 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 Chao Li. Chao Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Sun, Jie, et al.. (2025). Evaluation of large language models in generating pulmonary nodule follow-up recommendations. European Journal of Radiology Open. 14. 100655–100655. 1 indexed citations

2.

Guo, Xiao‐Wei, et al.. (2025). GCPNet: An interpretable Generic Crystal Pattern graph neural Network for predicting material properties. Neural Networks. 188. 107466–107466. 4 indexed citations

3.

Wang, Xiaofei, Hao Duan, Wanming Hu, et al.. (2025). Joint modeling histology and molecular markers for cancer classification. Medical Image Analysis. 102. 103505–103505.

4.

Bao, Hongbo, Shengyu Fang, Zihan Wang, et al.. (2025). Glioma-white matter tract interactions: A diffusion magnetic resonance imaging-based 3-tier classification and its clinical relevance. Neuro-Oncology. 27(7). 1888–1898. 2 indexed citations

5.

Jing, Min, Tong Zhu, Mengqi Liu, et al.. (2025). Electroconvulsive therapy induces cortical and subcortical structural changes in adolescents with major depressive disorder. Psychiatry Research. 358. 116845–116845.

6.

Zhang, Jingbo, Min Jing, Fajin Lv, et al.. (2025). Machine learning-based assessment of morphometric abnormalities distinguishes bipolar disorder and major depressive disorder. Neuroradiology. 67(4). 921–930. 2 indexed citations

7.

Li, Chao, et al.. (2024). Global contextual representation via graph-transformer fusion for hepatocellular carcinoma prognosis in whole-slide images. Computerized Medical Imaging and Graphics. 115. 102378–102378. 6 indexed citations

8.

Li, Chao, Shaoyan Wang, Yafu Yin, et al.. (2024). The prognostic role of 18F-FDG PET/CT-based response evaluation in children with stage 4 neuroblastoma. European Radiology. 34(11). 7125–7135. 1 indexed citations

9.

Wu, Hao, et al.. (2024). Developing predictive models for residual back pain after percutaneous vertebral augmentation treatment for osteoporotic thoracolumbar compression fractures based on machine learning technique. Journal of Orthopaedic Surgery and Research. 19(1). 803–803. 10 indexed citations

10.

Zhang, Hang, et al.. (2023). Spatially Covariant Lesion Segmentation. 1713–1721. 1 indexed citations

11.

Chen, Xi, Lei Zhu, Lipei Zhang, et al.. (2023). Multi-Modal Learning for Predicting the Genotype of Glioma. IEEE Transactions on Medical Imaging. 42(11). 3167–3178. 16 indexed citations

12.

Li, Chao, Yu Chen, Yongmei Hu, et al.. (2023). CT-based radiomics for predicting radio-chemotherapy response and overall survival in nonsurgical esophageal carcinoma. Frontiers in Oncology. 13. 1219106–1219106. 1 indexed citations

13.

Li, Hongxing, Mei Dong, Xiaoxiao Peng, et al.. (2023). A homozygous PRKN-associated juvenile Parkinson's disease with pregnancy in China. Frontiers in Neurology. 14. 1103164–1103164. 1 indexed citations

14.

Li, Chao, Hang Zhang, Jinwei Zhang, et al.. (2023). Motion Artifact Reduction in Quantitative Susceptibility Mapping using Deep Neural Network. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition.

15.

Guo, Xiaoyi, Wei Zhou, Yuan Zhang, et al.. (2021). Multiple Laplacian Regularized RBF Neural Network for Assessing Dry Weight of Patients With End-Stage Renal Disease. Frontiers in Physiology. 12. 790086–790086. 3 indexed citations

16.

Chen, Zihui, et al.. (2021). Preliminary study of hemodynamics of iliac venous compression syndrome using magnetic resonance imaging. Journal of Vascular Surgery Venous and Lymphatic Disorders. 10(1). 131–138.e3. 10 indexed citations

17.

Zhao, Peng, et al.. (2019). Wood quality of Chinese zither panel based on convolutional neural network and near-infrared spectroscopy. Applied Optics. 58(18). 5122–5122. 8 indexed citations

18.

Li, Chao, Shuo Wang, Pan Liu, et al.. (2019). Decoding the Interdependence of Multiparametric Magnetic Resonance Imaging to Reveal Patient Subgroups Correlated with Survivals. Neoplasia. 21(5). 442–449. 7 indexed citations

19.

Li, Chao, Shuo Wang, Jiun‐Lin Yan, et al.. (2018). Intratumoral Heterogeneity of Glioblastoma Infiltration Revealed by Joint Histogram Analysis of Diffusion Tensor Imaging. Neurosurgery. 85(4). 524–534. 29 indexed citations

20.

Han, Kai, Chao Li, & Xin Shi. (2017). Autoencoder Feature Selector.. arXiv (Cornell University). 1 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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