Jiao Li

1.2k total citations
61 papers, 771 citations indexed

About

Jiao Li is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Jiao Li has authored 61 papers receiving a total of 771 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 20 papers in Radiology, Nuclear Medicine and Imaging and 16 papers in Artificial Intelligence. Recurrent topics in Jiao Li's work include Radiomics and Machine Learning in Medical Imaging (12 papers), AI in cancer detection (8 papers) and Advanced Neural Network Applications (7 papers). Jiao Li is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (12 papers), AI in cancer detection (8 papers) and Advanced Neural Network Applications (7 papers). Jiao Li collaborates with scholars based in China, United States and Macao. Jiao Li's co-authors include Zhiyong Lu, Huafu Chen, Hongmin Cai, Wei Liao, Li Li, Bharat B. Biswal, Mi Yang, Jinhua Wang, Yan Song and Jiazhou Chen and has published in prestigious journals such as Scientific Reports, IEEE Access and IEEE Transactions on Medical Imaging.

In The Last Decade

Jiao Li

54 papers receiving 750 citations

Peers

Jiao Li
Peng Cao China
Jiashuang Huang China
Bülent Yılmaz Türkiye
Ruxin Wang China
Shiqi Yang China
Tommy Löfstedt Sweden
Luiz Otávio Murta Brazil
Marwa Obayya Saudi Arabia
Zhe Liu China
S. Vinitha Sree Singapore
Peng Cao China
Jiao Li
Citations per year, relative to Jiao Li Jiao Li (= 1×) peers Peng Cao

Countries citing papers authored by Jiao Li

Since Specialization
Citations

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

Fields of papers citing papers by Jiao Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiao Li

This figure shows the co-authorship network connecting the top 25 collaborators of Jiao Li. A scholar is included among the top collaborators of Jiao 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 Jiao Li. Jiao 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.
Li, Jiao, et al.. (2025). Mapping the white-matter functional connectome: a personal perspective. PubMed. 5. kkaf028–kkaf028.
2.
Li, Jiao, et al.. (2024). Exploring the Role of Traditional Chinese Values in Shaping Health Beliefs and Decision-making Process. American Journal of Health Behavior. 48(3). 573–583.
3.
4.
Li, Jiao, et al.. (2023). SDSCNet: an instance segmentation network for efficient monitoring of goose breeding conditions. Applied Intelligence. 53(21). 25435–25449.
5.
Li, Jiao, Hongjie Wang, Ran Liu, et al.. (2023). A multitask model for realtime fish detection and segmentation based on YOLOv5. PeerJ Computer Science. 9. e1262–e1262. 16 indexed citations
6.
Huang, Guoheng, et al.. (2023). Improving breast tumor segmentation via shape-wise prior-guided information on cone-beam breast CT images. Physics in Medicine and Biology. 68(14). 145015–145015. 1 indexed citations
7.
Li, Jiao, et al.. (2023). MMGan: a multimodal MR brain tumor image segmentation method. Frontiers in Human Neuroscience. 17. 1275795–1275795. 5 indexed citations
8.
Li, Jiao, et al.. (2023). CPFTransformer: transformer fusion context pyramid medical image segmentation network. Frontiers in Neuroscience. 17. 1288366–1288366. 8 indexed citations
9.
Cheng, Lianglun, Guoheng Huang, Guo Zhong, et al.. (2022). Weakly supervised semantic segmentation of histological tissue via attention accumulation and pixel-level contrast learning. Physics in Medicine and Biology. 68(4). 45010–45010. 2 indexed citations
10.
Li, Jiao, Qin Zhao, Haojiang Li, et al.. (2022). Prognostic value of quantitative cervical nodal necrosis burden on MRI in nasopharyngeal carcinoma and its role as a stratification marker for induction chemotherapy. European Radiology. 32(11). 7710–7721. 10 indexed citations
11.
Cheng, Lianglun, et al.. (2021). Multi-Scale Fusion U-Net for the Segmentation of Breast Lesions. IEEE Access. 9. 137125–137139. 22 indexed citations
12.
Zhu, Ziwei, Xingming Zhang, Tingting Dan, et al.. (2021). Classification of COVID-19 by Compressed Chest CT Image through Deep Learning on a Large Patients Cohort. Interdisciplinary Sciences Computational Life Sciences. 13(1). 73–82. 37 indexed citations
13.
Ma, Jingchen, Ni He, Jin hwan Yoon, et al.. (2021). Distinguishing benign and malignant lesions on contrast-enhanced breast cone-beam CT with deep learning neural architecture search. European Journal of Radiology. 142. 109878–109878. 15 indexed citations
14.
Guo, Zhen, Xuwen Wang, Yu Zhang, & Jiao Li. (2019). ImageSem at ImageCLEFmed Caption 2019 Task: a Two-stage Medical Concept Detection Strategy.. CLEF (Working Notes). 6 indexed citations
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Li, Jiao, Song Yan, Shuoyu Xu, et al.. (2018). Predicting underestimation of ductal carcinoma in situ: a comparison between radiomics and conventional approaches. International Journal of Computer Assisted Radiology and Surgery. 14(4). 709–721. 23 indexed citations
17.
Yang, Mi, Pu Yang, Yun‐Shuang Fan, et al.. (2017). Altered Structure and Intrinsic Functional Connectivity in Post-stroke Aphasia. Brain Topography. 31(2). 300–310. 16 indexed citations
18.
Yang, Mi, Jiao Li, Yibo Li, et al.. (2016). Altered Intrinsic Regional Activity and Interregional Functional Connectivity in Post-stroke Aphasia. Scientific Reports. 6(1). 24803–24803. 34 indexed citations
19.
Li, Jiao. (2009). Image Segmentation Using Second Generation Bandelet-domain Hidden Markov Tree Models. Acta Automatica Sinica. 1 indexed citations
20.
Li, Jiao. (2002). Temporal and Spacial Alignment Development in Multi-Sensor Multi-Platform and Multi-Object Source Information Fusion. Journal of Air Force Engineering University. 3 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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