Weikai Li

942 total citations
45 papers, 627 citations indexed

About

Weikai Li is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Psychiatry and Mental health. According to data from OpenAlex, Weikai Li has authored 45 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cognitive Neuroscience, 11 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Psychiatry and Mental health. Recurrent topics in Weikai Li's work include Functional Brain Connectivity Studies (25 papers), Neural dynamics and brain function (10 papers) and Advanced Neuroimaging Techniques and Applications (9 papers). Weikai Li is often cited by papers focused on Functional Brain Connectivity Studies (25 papers), Neural dynamics and brain function (10 papers) and Advanced Neuroimaging Techniques and Applications (9 papers). Weikai Li collaborates with scholars based in China, United States and South Korea. Weikai Li's co-authors include Lishan Qiao, Dinggang Shen, Limei Zhang, Zhengxia Wang, Xiaowen Xu, Xin Gao, Songcan Chen, Peijun Wang, Yueying Zhou and Li‐Ling Peng and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Molecular Biology.

In The Last Decade

Weikai Li

40 papers receiving 621 citations

Peers

Weikai Li
Rudra P. K. Poudel United Kingdom
Dimosthenis Tsagkrasoulis Greece
Nicolas Honnorat United States
Mehdi Rahim France
Pradeep Reddy Raamana Canada
Tong He Singapore
Darya Chyzhyk Spain
Guanjie Hu China
Tian Siva Tian United States
Rudra P. K. Poudel United Kingdom
Weikai Li
Citations per year, relative to Weikai Li Weikai Li (= 1×) peers Rudra P. K. Poudel

Countries citing papers authored by Weikai Li

Since Specialization
Citations

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

Fields of papers citing papers by Weikai Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weikai Li

This figure shows the co-authorship network connecting the top 25 collaborators of Weikai Li. A scholar is included among the top collaborators of Weikai 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 Weikai Li. Weikai 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
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Li, Zhengying, Changjia Wang, Xuelei Fu, et al.. (2025). A phase unwrapping algorithm for high dynamic range distributed acoustic sensing with signal fidelity. Measurement Science and Technology. 36(3). 35116–35116. 1 indexed citations
3.
Li, Weikai, et al.. (2025). Low-light image enhancement using dual cross attention. Engineering Applications of Artificial Intelligence. 159. 111501–111501. 4 indexed citations
4.
Lin, Sha, et al.. (2025). Timestamp calibration for time-series single cell RNA-seq expression data. Journal of Molecular Biology. 437(9). 169021–169021. 1 indexed citations
5.
Yi, Ting, et al.. (2024). Limbic/paralimbic connection weakening in preschool autism‐spectrum disorder based on diffusion basis spectrum imaging. European Journal of Neuroscience. 61(1). e16615–e16615. 1 indexed citations
6.
Zhou, Wenhao, et al.. (2024). Multipattern graph convolutional network-based autism spectrum disorder identification. Cerebral Cortex. 34(3). 7 indexed citations
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Wang, Yunyun, et al.. (2023). TIToK: A solution for bi-imbalanced unsupervised domain adaptation. Neural Networks. 164. 81–90. 3 indexed citations
10.
Li, Yulin, Jia‐Jia Wu, Weikai Li, et al.. (2023). Effects of individual metabolic brain network changes co-affected by T2DM and aging on the probabilities of T2DM: protective and risk factors. Cerebral Cortex. 34(1). 2 indexed citations
11.
Li, Weikai, Yongxiang Tang, Li‐Ling Peng, et al.. (2023). The reconfiguration pattern of individual brain metabolic connectome for Parkinson's disease identification. SHILAP Revista de lepidopterología. 4(4). e305–e305. 19 indexed citations
12.
Li, Weikai & Songcan Chen. (2022). Partial Domain Adaptation Without Domain Alignment. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(7). 8787–8797. 21 indexed citations
13.
Xu, Xiaowen, Tao Wang, Weikai Li, et al.. (2021). Morphological, Structural, and Functional Networks Highlight the Role of the Cortical-Subcortical Circuit in Individuals With Subjective Cognitive Decline. Frontiers in Aging Neuroscience. 13. 688113–688113. 18 indexed citations
14.
Li, Weikai, Xiaowen Xu, Zhengxia Wang, et al.. (2021). Multiple Connection Pattern Combination From Single-Mode Data for Mild Cognitive Impairment Identification. Frontiers in Cell and Developmental Biology. 9. 782727–782727. 26 indexed citations
15.
Gao, Xin, Xiaowen Xu, Xu‐Yun Hua, et al.. (2020). Group Similarity Constraint Functional Brain Network Estimation for Mild Cognitive Impairment Classification. Frontiers in Neuroscience. 14. 165–165. 14 indexed citations
16.
Xu, Xiaowen, Weikai Li, Xiang‐Bin Wang, et al.. (2020). Feature Selection and Combination of Information in the Functional Brain Connectome for Discrimination of Mild Cognitive Impairment and Analyses of Altered Brain Patterns. Frontiers in Aging Neuroscience. 12. 28–28. 38 indexed citations
17.
Li, Weikai, Xiaowen Xu, Wei Jiang, Peijun Wang, & Xin Gao. (2020). Functional connectivity network estimation with an inter-similarity prior for mild cognitive impairment classification. Aging. 12(17). 17328–17342. 19 indexed citations
18.
Li, Weikai, Yu‐Chen Chen, Xin Gao, & Xiao Wang. (2020). Functional Brain Network Estimation with Human-Guided Modularity Representation. IFAC-PapersOnLine. 53(5). 786–791. 1 indexed citations
19.
Zhou, Yueying, Lishan Qiao, Weikai Li, Limei Zhang, & Dinggang Shen. (2018). Simultaneous Estimation of Low- and High-Order Functional Connectivity for Identifying Mild Cognitive Impairment. Frontiers in Neuroinformatics. 12. 3–3. 43 indexed citations
20.
Huo, Taoguang, Weikai Li, Yinghua Zhang, et al.. (2014). Excitotoxicity Induced by Realgar in the Rat Hippocampus: the Involvement of Learning Memory Injury, Dysfunction of Glutamate Metabolism and NMDA Receptors. Molecular Neurobiology. 51(3). 980–994. 46 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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