Zhaotong Li

546 total citations · 1 hit paper
24 papers, 354 citations indexed

About

Zhaotong Li is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Zhaotong Li has authored 24 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Artificial Intelligence. Recurrent topics in Zhaotong Li's work include Advanced MRI Techniques and Applications (4 papers), Medical Imaging Techniques and Applications (3 papers) and Plant Virus Research Studies (3 papers). Zhaotong Li is often cited by papers focused on Advanced MRI Techniques and Applications (4 papers), Medical Imaging Techniques and Applications (3 papers) and Plant Virus Research Studies (3 papers). Zhaotong Li collaborates with scholars based in China, United States and Australia. Zhaotong Li's co-authors include Weishan Zhang, Liming Zhu, Sin Kit Lo, Yue Liu, Shiping Chen, Xiwei Xu, Qinghua Lu, Xinrui Huang, Jinling Zhai and Xi Huang and has published in prestigious journals such as Optics Letters, Frontiers in Microbiology and IEEE Internet of Things Journal.

In The Last Decade

Zhaotong Li

23 papers receiving 349 citations

Hit Papers

Blockchain-Based Federated Learning for Device Failure De... 2020 2026 2022 2024 2020 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhaotong Li China 8 193 108 62 53 40 24 354
Xuan Gong China 10 211 1.1× 31 0.3× 90 1.5× 35 0.7× 28 0.7× 26 326
Hemanta Kumar Bhuyan India 11 155 0.8× 72 0.7× 117 1.9× 62 1.2× 32 0.8× 35 367
Mahmood A. Mahmood Saudi Arabia 8 130 0.7× 80 0.7× 32 0.5× 40 0.8× 10 0.3× 30 328
Godwin Brown Tunze India 7 139 0.7× 47 0.4× 42 0.7× 34 0.6× 27 0.7× 8 294
Mohamed Abid Tunisia 12 127 0.7× 112 1.0× 66 1.1× 171 3.2× 32 0.8× 41 303
Juana Canul-Reich Mexico 10 142 0.7× 49 0.5× 38 0.6× 35 0.7× 28 0.7× 29 336
Ghadah Naif Alwakid Saudi Arabia 10 164 0.8× 37 0.3× 52 0.8× 44 0.8× 10 0.3× 38 351
Jiahao Ding China 10 269 1.4× 34 0.3× 26 0.4× 72 1.4× 60 1.5× 31 375
Meenakshi Sharma India 11 194 1.0× 67 0.6× 249 4.0× 33 0.6× 12 0.3× 26 546
Chunlai Du China 7 196 1.0× 141 1.3× 49 0.8× 193 3.6× 49 1.2× 24 425

Countries citing papers authored by Zhaotong Li

Since Specialization
Citations

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

Fields of papers citing papers by Zhaotong Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhaotong Li

This figure shows the co-authorship network connecting the top 25 collaborators of Zhaotong Li. A scholar is included among the top collaborators of Zhaotong 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 Zhaotong Li. Zhaotong 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.
Zhao, Haoran, et al.. (2025). Paradigm-Shifting Attention-Based Hybrid View Learning for Enhanced Mammography Breast Cancer Classification With Multi-Scale and Multi-View Fusion. IEEE Journal of Biomedical and Health Informatics. 29(11). 8334–8347. 1 indexed citations
2.
Xie, Hua, Hongmei Gu, Mingjing Li, et al.. (2025). Carotid artery segmentation in computed tomography angiography (CTA) using multi-scale deep supervision with Swin-UNet and advanced data augmentation. Quantitative Imaging in Medicine and Surgery. 15(4). 3161–3175. 2 indexed citations
3.
Musa, Khalid Hamid, Santosh Kumar, Zhaotong Li, et al.. (2024). Robust pattern retrieval in an optical Hopfield neural network. Optics Letters. 50(1). 225–225. 2 indexed citations
4.
Li, Zhaotong, et al.. (2024). Feasibility study on the clinical application of CT-based synthetic brain T1-weighted MRI: comparison with conventional T1-weighted MRI. European Radiology. 34(9). 5783–5799. 2 indexed citations
5.
Kumar, Santosh, Zhaotong Li, Ting Bu, Chunlei Qu, & Yu‐Ping Huang. (2023). Observation of distinct phase transitions in a nonlinear optical Ising machine. Communications Physics. 6(1). 9 indexed citations
6.
Li, Zhaotong, et al.. (2023). Classical learning or deep learning: a study on food photo aesthetic assessment. Multimedia Tools and Applications. 83(12). 36469–36489. 3 indexed citations
7.
Li, Zhaotong, Xiaoyan Gai, Wenli Cao, et al.. (2022). Computer-Aided Diagnosis of Spinal Tuberculosis From CT Images Based on Deep Learning With Multimodal Feature Fusion. Frontiers in Microbiology. 13. 823324–823324. 18 indexed citations
8.
Li, Zhaotong, et al.. (2022). Synthesis of magnetic resonance images from computed tomography data using convolutional neural network with contextual loss function. Quantitative Imaging in Medicine and Surgery. 12(6). 3151–3169. 9 indexed citations
9.
Li, Zhaotong, et al.. (2022). Complete genome sequence of a novel virga-like virus infecting Hevea brasiliensis. Archives of Virology. 167(3). 965–968. 4 indexed citations
11.
Wang, Hongxing, Huaiwen Zhang, Zhaotong Li, et al.. (2020). Prevalence of Yellow Leaf Disease (YLD) and its Associated Areca Palm Velarivirus 1 (APV1) in Betel Palm (Areca catechu) Plantations in Hainan, China. Plant Disease. 104(10). 2556–2562. 17 indexed citations
12.
Zhang, Weishan, Qinghua Lu, Zhaotong Li, et al.. (2020). Blockchain-Based Federated Learning for Device Failure Detection in Industrial IoT. IEEE Internet of Things Journal. 8(7). 5926–5937. 206 indexed citations breakdown →
13.
Gao, Song, et al.. (2020). Research progress of diffusion sensitive gradient field encoding schemes in magnetic resonance diffusion tensor imaging. Acta Physica Sinica. 69(3). 38702–38702. 1 indexed citations
14.
Wang, Xiaofei, et al.. (2020). Augmented Reality and Quick Response Code Technology in Engineering Drawing Course. 1493–1498. 4 indexed citations
15.
Li, Zhaotong, Hongxing Wang, Ze Zhang, et al.. (2019). Complete genome sequence of a novel capillovirus infecting Hevea brasiliensis in China. Archives of Virology. 165(1). 249–252. 8 indexed citations
16.
Li, Sha, Xinrui Huang, Guozhen Li, et al.. (2019). Exponential subtraction in 3D ultrashort echo time imaging to visualize short T2 tissues in tibia. Acta Radiologica. 61(6). 760–767. 1 indexed citations
17.
Li, Zhaotong, et al.. (2018). Steganography with pixel-value differencing and modulus function based on PSO. Journal of Information Security and Applications. 43. 47–52. 39 indexed citations
18.
Zhang, Ying, et al.. (2018). A beautiful image or not. 191–197. 1 indexed citations
19.
Xu, Jiuyun, et al.. (2016). Optimized Composite Service Transactions through Execution Results Prediction. Leicester Research Archive (University of Leicester). 32. 690–693. 2 indexed citations
20.
Li, Zhaotong, Zheng Huang, Shuai Chen, et al.. (2012). A modeling and mapping method for coarse/fine mixed-grained reconfigurable architecture. 1–4.

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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