Li Wang

32.1k total citations · 5 hit papers
828 papers, 18.6k citations indexed

About

Li Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Li Wang has authored 828 papers receiving a total of 18.6k indexed citations (citations by other indexed papers that have themselves been cited), including 203 papers in Radiology, Nuclear Medicine and Imaging, 189 papers in Computer Vision and Pattern Recognition and 163 papers in Cognitive Neuroscience. Recurrent topics in Li Wang's work include Functional Brain Connectivity Studies (119 papers), Medical Image Segmentation Techniques (97 papers) and Advanced Neuroimaging Techniques and Applications (84 papers). Li Wang is often cited by papers focused on Functional Brain Connectivity Studies (119 papers), Medical Image Segmentation Techniques (97 papers) and Advanced Neuroimaging Techniques and Applications (84 papers). Li Wang collaborates with scholars based in China, United States and South Korea. Li Wang's co-authors include Dinggang Shen, Weili Lin, Feng Shi, Gang Li, John H. Gilmore, Yaozong Gao, Dong-Chen He, Dong Nie, Chunming Li and Pew‐Thian Yap and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Li Wang

756 papers receiving 18.2k citations

Hit Papers

Deep convolutional neural... 2009 2026 2014 2020 2015 2018 2009 2009 2018 100 200 300 400 500
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.

  1. Deep convolutional neural networks for multi-modality isointense infant brain image segmentation
    2015 581 citations Li Wang, Weili Lin et al. NeuroImage profile →
  2. Medical Image Synthesis with Deep Convolutional Adversarial Networks
    2018 421 citations Dong Nie, Li Wang et al. profile →
  3. Active contours driven by local Gaussian distribution fitting energy
    2009 361 citations Li Wang et al. profile →
  4. Active contours driven by local and global intensity fitting energy with application to brain MR image segmentation
    2009 316 citations Li Wang et al. profile →
  5. The UNC/UMN Baby Connectome Project (BCP): An overview of the study design and protocol development
    2018 243 citations Pew‐Thian Yap, Li Wang et al. NeuroImage profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Li Wang 4.9k 4.8k 3.7k 2.5k 2.4k 828 18.6k
Sabine Van Huffel 3.6k 0.7× 2.0k 0.4× 4.4k 1.2× 1.3k 0.5× 1.5k 0.6× 811 23.6k
Sébastien Ourselin 10.2k 2.1× 5.1k 1.1× 3.7k 1.0× 1.4k 0.5× 2.8k 1.2× 812 26.7k
David Menon 5.0k 1.0× 1.2k 0.3× 4.5k 1.2× 4.0k 1.6× 737 0.3× 515 29.7k
Feng Shi 4.2k 0.9× 1.8k 0.4× 3.4k 0.9× 1.1k 0.4× 1.5k 0.6× 448 12.0k
Martin Styner 4.3k 0.9× 2.3k 0.5× 4.7k 1.2× 2.0k 0.8× 574 0.2× 473 17.7k
Guido Gerig 9.0k 1.9× 5.8k 1.2× 5.3k 1.4× 1.4k 0.6× 1.2k 0.5× 282 23.4k
John G. Sled 5.1k 1.0× 1.7k 0.3× 2.6k 0.7× 1.9k 0.7× 329 0.1× 239 13.9k
D. Louis Collins 13.8k 2.8× 7.3k 1.5× 12.1k 3.2× 1.9k 0.8× 1.4k 0.6× 515 37.2k
Paul A. Yushkevich 7.9k 1.6× 3.2k 0.7× 4.3k 1.2× 912 0.4× 923 0.4× 218 18.2k
Weili Lin 8.7k 1.8× 2.5k 0.5× 6.0k 1.6× 1.0k 0.4× 1.2k 0.5× 509 19.5k

Countries citing papers authored by Li Wang

Since Specialization
Citations

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

Fields of papers citing papers by Li Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Li Wang. A scholar is included among the top collaborators of Li Wang 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 Li Wang. Li Wang 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.
Liu, Linqi, Zhao Ma, Jinfan Tian, et al.. (2025). Improved evaluation of coronary artery diseases from patients with coronary calcification utilizing FFRCT: a comparative study against CCTA. Hellenic Journal of Cardiology. 3 indexed citations
2.
Sun, Lijuan, et al.. (2024). Role of copy number variation analysis in prenatally diagnosed Blake’s pouch cyst. BMC Pregnancy and Childbirth. 24(1). 842–842.
3.
Wang, Li, et al.. (2024). Research on adverse event classification algorithm of da Vinci surgical robot based on Bert-BiLSTM model. Frontiers in Computational Neuroscience. 18. 1476164–1476164. 2 indexed citations
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Zhang, Yunzhou, et al.. (2024). SADGFeat: Learning local features with layer spatial attention and domain generalization. Image and Vision Computing. 146. 105033–105033. 2 indexed citations
6.
Wang, Li, et al.. (2024). Identification of patients with internet gaming disorder via a radiomics-based machine learning model of subcortical structures in high-resolution T1-weighted MRI. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 133. 111026–111026. 3 indexed citations
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Wang, Li, Ting Li, Ruolei Gu, & Chunliang Feng. (2024). Large-scale meta-analyses and network analyses of neural substrates underlying human escalated aggression. NeuroImage. 299. 120824–120824. 1 indexed citations
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Neier, Kari, Noreene M. Shibata, Marie C. Heffern, et al.. (2023). The role of the intestine in metabolic dysregulation in murine Wilson disease. Hepatology Communications. 7(10). 6 indexed citations
11.
Jiang, Bo, Tiantian Liu, Li Wang, et al.. (2023). Individual-level functional connectomes predict the motor symptoms of Parkinson’s disease. Cerebral Cortex. 33(10). 6282–6290. 8 indexed citations
12.
Huang, Yunzhi, Sahar Ahmad, Luyi Han, et al.. (2023). Longitudinal prediction of postnatal brain magnetic resonance images via a metamorphic generative adversarial network. Pattern Recognition. 143. 109715–109715. 1 indexed citations
13.
Qin, Xiangyu, Zhiyu Wu, Yanran Li, et al.. (2023). BERT-ERC: Fine-Tuning BERT Is Enough for Emotion Recognition in Conversation. Proceedings of the AAAI Conference on Artificial Intelligence. 37(11). 13492–13500. 20 indexed citations
14.
Li, Liling, Li Wang, Ling Yu, et al.. (2023). The clinical experience of early skin-to-skin contact combined with non-nutritive comfort sucking in mothers of preterm infants: a qualitative study. BMC Pregnancy and Childbirth. 23(1). 281–281. 6 indexed citations
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Yan, Tianyi, Gongshu Wang, Li Wang, et al.. (2022). Episodic memory in aspects of brain information transfer by resting-state network topology. Cerebral Cortex. 32(22). 4969–4985. 7 indexed citations
17.
Ni, Hao, Xin Zhang, Xiangmin Xu, et al.. (2022). Path Signature Neural Network of Cortical Features for Prediction of Infant Cognitive Scores. UCL Discovery (University College London). 3 indexed citations
18.
Wang, Qun, Yonghong Liu, Quan Li, et al.. (2019). A temperature-sensitive phase-change hydrogel of topotecan achieves a long-term sustained antitumor effect on retinoblastoma cells. SHILAP Revista de lepidopterología.
19.
Chen, Xu, Chunfeng Lian, Li Wang, et al.. (2019). One-Shot Generative Adversarial Learning for MRI Segmentation of Craniomaxillofacial Bony Structures. IEEE Transactions on Medical Imaging. 39(3). 787–796. 27 indexed citations
20.
Li, Yongsheng, Juan Xu, Huanyu Ju, et al.. (2013). A network-based, integrative approach to identify genes with aberrant co-methylation in colorectal cancer. Molecular BioSystems. 10(2). 180–190. 8 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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