Wei Liao

13.2k total citations · 3 hit papers
221 papers, 10.0k citations indexed

About

Wei Liao is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Psychiatry and Mental health. According to data from OpenAlex, Wei Liao has authored 221 papers receiving a total of 10.0k indexed citations (citations by other indexed papers that have themselves been cited), including 162 papers in Cognitive Neuroscience, 87 papers in Radiology, Nuclear Medicine and Imaging and 39 papers in Psychiatry and Mental health. Recurrent topics in Wei Liao's work include Functional Brain Connectivity Studies (155 papers), Neural dynamics and brain function (62 papers) and Advanced Neuroimaging Techniques and Applications (61 papers). Wei Liao is often cited by papers focused on Functional Brain Connectivity Studies (155 papers), Neural dynamics and brain function (62 papers) and Advanced Neuroimaging Techniques and Applications (61 papers). Wei Liao collaborates with scholars based in China, United States and United Kingdom. Wei Liao's co-authors include Huafu Chen, Guangming Lu, Zhiqiang Zhang, Jurong Ding, Xujun Duan, Qiang Xu, Qiyong Gong, Dante Mantini, Gong‐Jun Ji and Zhengge Wang and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Wei Liao

210 papers receiving 9.9k citations

Hit Papers

Altered functional–structural coupling of large-scale bra... 2011 2026 2016 2021 2011 2019 2024 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wei Liao China 55 7.5k 3.6k 2.1k 1.4k 736 221 10.0k
Lawrence R. Frank United States 52 5.0k 0.7× 5.7k 1.6× 795 0.4× 631 0.5× 1.1k 1.5× 146 11.8k
David Darby Australia 47 2.0k 0.3× 1.8k 0.5× 2.2k 1.0× 681 0.5× 415 0.6× 144 8.8k
Stamatios N. Sotiropoulos United Kingdom 39 6.9k 0.9× 8.0k 2.2× 817 0.4× 677 0.5× 689 0.9× 94 12.0k
Bratislav Mišić Canada 43 5.2k 0.7× 2.3k 0.7× 429 0.2× 717 0.5× 675 0.9× 143 7.3k
Martijn P. van den Heuvel Netherlands 71 17.2k 2.3× 9.1k 2.5× 2.1k 1.0× 2.8k 2.0× 1.8k 2.5× 219 22.6k
Nicola Palomero‐Gallagher Germany 46 4.1k 0.5× 1.4k 0.4× 572 0.3× 427 0.3× 1.2k 1.7× 125 6.5k
Mikail Rubinov United States 26 9.7k 1.3× 3.8k 1.1× 1.1k 0.5× 1.8k 1.3× 1.0k 1.4× 36 11.7k
Gabriele Lohmann Germany 39 5.3k 0.7× 1.9k 0.5× 495 0.2× 968 0.7× 292 0.4× 103 7.3k
M. Mallar Chakravarty Canada 60 5.2k 0.7× 3.4k 0.9× 2.5k 1.2× 712 0.5× 1.8k 2.4× 347 12.6k
Rami K. Niazy United Kingdom 8 6.5k 0.9× 6.0k 1.7× 1.5k 0.7× 775 0.6× 757 1.0× 10 11.7k

Countries citing papers authored by Wei Liao

Since Specialization
Citations

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

Fields of papers citing papers by Wei Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Liao

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Liao. A scholar is included among the top collaborators of Wei Liao 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 Wei Liao. Wei Liao 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, Wenxia, Shuo Xu, Bharat B. Biswal, et al.. (2025). Multimodal, multifaceted, imaging-based human brain white matter atlas. Science Bulletin. 71(3). 500–504. 1 indexed citations
2.
Bae, Christopher J., Jianrong Liu, Jiahui Ding, et al.. (2025). Dental microwear and diet of the latest Miocene ape in southern China (Lufengpithecus lufengensis). Palaeogeography Palaeoclimatology Palaeoecology. 667. 112869–112869.
5.
Ji, Gong‐Jun, Zaixu Cui, Ryan C.N. D’Arcy, et al.. (2024). Imaging brain white matter function using resting-state functional MRI. Science Bulletin. 70(9). 1384–1388. 7 indexed citations
6.
Xia, Jie, Cirong Liu, Jiao Li, et al.. (2024). Decomposing cortical activity through neuronal tracing connectome-eigenmodes in marmosets. Nature Communications. 15(1). 2289–2289. 2 indexed citations
7.
Li, Jiao, Guo‐Rong Wu, Jie Xia, et al.. (2023). Spatiotemporal topological correspondence between blood oxygenation and glucose metabolism revealed by simultaneous fPET-fMRI in brain’s white matter. Cerebral Cortex. 33(15). 9291–9302. 8 indexed citations
8.
Liao, Wei, Xinfeng Xu, Zhihua Li, et al.. (2023). Three‐dimensional imaging anatomical research and clinical implications of V1+2d in the left upper lung. Thoracic Cancer. 15(3). 239–247. 2 indexed citations
9.
Ji, Gong‐Jun, Jinmei Sun, Li Zhang, et al.. (2023). White matter dysfunction in psychiatric disorders is associated with neurotransmitter and genetic profiles. Nature Mental Health. 1(9). 655–666. 30 indexed citations
10.
Li, Jiao, Heng Chen, Feiyang Fan, et al.. (2020). White-matter functional topology: a neuromarker for classification and prediction in unmedicated depression. Translational Psychiatry. 10(1). 365–365. 42 indexed citations
11.
Wang, Jue, Ning Yang, Wei Liao, et al.. (2015). Dorsal anterior cingulate cortex in typically developing children: Laterality analysis. Developmental Cognitive Neuroscience. 15. 117–129. 11 indexed citations
12.
Wang, Jue, Zhiqiang Zhang, Gong‐Jun Ji, et al.. (2015). Frequency-Specific Alterations of Local Synchronization in Idiopathic Generalized Epilepsy. Medicine. 94(32). e1374–e1374. 24 indexed citations
13.
Ji, Gong‐Jun, Zhiqiang Zhang, Qiang Xu, et al.. (2015). Connectome Reorganization Associated With Surgical Outcome in Temporal Lobe Epilepsy. Medicine. 94(40). e1737–e1737. 33 indexed citations
14.
Luo, Qinghua, Lian Du, Wei Liao, et al.. (2015). Reorganization of Anatomical Connectome following Electroconvulsive Therapy in Major Depressive Disorder. Neural Plasticity. 2015. 1–8. 24 indexed citations
15.
Ji, Gong‐Jun, Zhiqiang Zhang, Han Zhang, et al.. (2013). Correction: Disrupted Causal Connectivity in Mesial Temporal Lobe Epilepsy. PLoS ONE. 8(9). 5 indexed citations
16.
Wu, Guo‐Rong, Wei Liao, Sebastiano Stramaglia, Huafu Chen, & Daniele Marinazzo. (2013). Recovering Directed Networks in Neuroimaging Datasets Using Partially Conditioned Granger Causality. Brain Connectivity. 3(3). 294–301. 20 indexed citations
17.
Luo, Cheng, Zhiwei Guo, Yongxiu Lai, et al.. (2012). Musical Training Induces Functional Plasticity in Perceptual and Motor Networks: Insights from Resting-State fMRI. PLoS ONE. 7(5). e36568–e36568. 95 indexed citations
18.
Pan, Zhengyong, et al.. (2010). Estimation of the Hemodynamic Response during Motor Imagery Using Bayesian RBF Neural Network. Journal of Electronic Science and Technology. 8(2). 168–172. 2 indexed citations
19.
Liao, Wei. (2010). Evaluation of China Global Fund TB Program Round 1 in Longquanyi district. 1 indexed citations
20.
Liao, Wei, Huafu Chen, Yuan Feng, et al.. (2010). Selective aberrant functional connectivity of resting state networks in social anxiety disorder. NeuroImage. 52(4). 1549–1558. 270 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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