Cheng Li

2.7k total citations
115 papers, 1.6k citations indexed

About

Cheng Li is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Cheng Li has authored 115 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Radiology, Nuclear Medicine and Imaging, 34 papers in Artificial Intelligence and 28 papers in Computer Vision and Pattern Recognition. Recurrent topics in Cheng Li's work include Radiomics and Machine Learning in Medical Imaging (18 papers), Advanced MRI Techniques and Applications (18 papers) and AI in cancer detection (14 papers). Cheng Li is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (18 papers), Advanced MRI Techniques and Applications (18 papers) and AI in cancer detection (14 papers). Cheng Li collaborates with scholars based in China, United States and Australia. Cheng Li's co-authors include Shanshan Wang, Félix W. Wehrli, Hairong Zheng, Jeremy F. Magland, Zaiyi Liu, Meiyun Wang, Jianping Jiang, Qiegen Liu, Feng Xie and Michael C. Langham and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

Cheng Li

102 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Cheng Li China 22 870 402 262 238 104 115 1.6k
Joseph Cohen United States 18 379 0.4× 321 0.8× 187 0.7× 451 1.9× 117 1.1× 107 1.9k
Yanrong Guo China 22 434 0.5× 352 0.9× 327 1.2× 969 4.1× 126 1.2× 101 2.1k
Xiaoyan Li China 19 264 0.3× 450 1.1× 79 0.3× 370 1.6× 26 0.3× 79 1.2k
Mehdi Moradi United States 20 673 0.8× 503 1.3× 239 0.9× 414 1.7× 205 2.0× 59 1.3k
Lin Han China 12 380 0.4× 372 0.9× 147 0.6× 426 1.8× 61 0.6× 50 1.2k
Hugues Talbot France 29 410 0.5× 183 0.5× 259 1.0× 1.0k 4.4× 102 1.0× 136 2.6k
Paul F. Whelan Ireland 28 413 0.5× 193 0.5× 311 1.2× 1.5k 6.2× 69 0.7× 145 2.8k
Gloria Bueno Spain 25 356 0.4× 1.1k 2.7× 200 0.8× 1.2k 5.1× 104 1.0× 128 2.7k
Fritz Albregtsen Norway 21 429 0.5× 452 1.1× 80 0.3× 401 1.7× 133 1.3× 61 1.4k
Wenjia Bai United Kingdom 26 1.3k 1.5× 372 0.9× 534 2.0× 1.1k 4.7× 180 1.7× 91 2.9k

Countries citing papers authored by Cheng Li

Since Specialization
Citations

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

Fields of papers citing papers by Cheng Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheng Li

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

All Works

20 of 20 papers shown
1.
2.
Yao, Fuqiang, et al.. (2025). Single-channel blind source separation empowered joint transceiver optimization for wireless communications using deep learning. Digital Communications and Networks. 12(1). 76–85.
3.
Li, Cheng, et al.. (2024). Acoustic neuroma classification algorithm based on mask region convolution neural network. Journal of Radiation Research and Applied Sciences. 17(1). 100818–100818. 1 indexed citations
4.
Jiang, Peng, Juan Liu, Jing Feng, et al.. (2024). Interpretable detector for cervical cytology using self-attention and cell origin group guidance. Engineering Applications of Artificial Intelligence. 134. 108661–108661. 5 indexed citations
5.
Huang, Weijian, Cheng Li, Hong-Yu Zhou, et al.. (2024). Enhancing representation in radiography-reports foundation model: a granular alignment algorithm using masked contrastive learning. Nature Communications. 15(1). 7620–7620. 18 indexed citations
6.
Li, Cheng, et al.. (2024). Feature Selection and Classification Technique for Predicting Lymph Node Metastasis of Papillary Thyroid Carcinoma. Journal of Computational Biophysics and Chemistry. 23(6). 801–814. 1 indexed citations
7.
Yang, Wenqian & Cheng Li. (2024). Quality evaluation of physical education in colleges and universities based on fuzzy logic. Journal of Computational Methods in Sciences and Engineering. 24(1). 165–181. 2 indexed citations
8.
Li, Cheng, et al.. (2024). A novel model-data fusion method for capacity and battery remaining useful life prediction. Journal of Energy Storage. 98. 112929–112929. 9 indexed citations
9.
Li, Cheng, et al.. (2024). Generalizable Reconstruction for Accelerating MR Imaging via Federated Learning With Neural Architecture Search. IEEE Transactions on Medical Imaging. 44(1). 106–117. 5 indexed citations
10.
Fang, Zhiyuan, et al.. (2023). Prediction of PM2.5 hourly concentrations in Beijing based on machine learning algorithm and ground-based LiDAR. Archives of Environmental Protection. 6 indexed citations
11.
12.
Lyu, Xingzheng, Cheng Li, & Sanyuan Zhang. (2022). The RETA Benchmark for Retinal Vascular Tree Analysis. Scientific Data. 9(1). 397–397. 15 indexed citations
13.
Kervadec, Hoel, Cheng Li, Jing Yuan, et al.. (2020). Laplacian pyramid-based complex neural network learning for fast MR imaging. 454–464. 6 indexed citations
14.
Li, Cheng, et al.. (2019). Across-Stack Profiling and Characterization of Machine Learning Models on GPUs.. arXiv (Cornell University). 3 indexed citations
15.
Sun, Hui, Cheng Li, Boqiang Liu, & Shanshan Wang. (2018). AUNet: Breast Mass Segmentation of Whole Mammograms.. arXiv (Cornell University). 1 indexed citations
16.
Lin, Xi, Qingguang Lin, & Cheng Li. (2016). The early diagnostic value of ultrasound in ductal carcinoma in situ of breast. 13(4). 297–301. 1 indexed citations
17.
Li, Cheng, Dakai Jin, Cheng Chen, et al.. (2015). Automated cortical bone segmentation for multirow‐detector CT imaging with validation and application to human studies. Medical Physics. 42(8). 4553–4565. 19 indexed citations
18.
Liu, Guorui, Minghui Zheng, Bing Du, et al.. (2012). Atmospheric emission of polychlorinated naphthalenes from iron ore sintering processes. Chemosphere. 89(4). 467–472. 60 indexed citations
19.
Wu, Wen‐Chau, Varsha Jain, Cheng Li, et al.. (2010). In vivo venous blood T1 measurement using inversion recovery true‐FISP in children and adults. Magnetic Resonance in Medicine. 64(4). 1140–1147. 63 indexed citations
20.
Li, Cheng. (2010). Relationship between body mass index and waist circumference for the cardiovascular disease risk factors.

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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