Li Tong

2.0k total citations
97 papers, 1.4k citations indexed

About

Li Tong is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology. According to data from OpenAlex, Li Tong has authored 97 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Cognitive Neuroscience, 19 papers in Computer Vision and Pattern Recognition and 17 papers in Experimental and Cognitive Psychology. Recurrent topics in Li Tong's work include Neural dynamics and brain function (39 papers), EEG and Brain-Computer Interfaces (32 papers) and Functional Brain Connectivity Studies (25 papers). Li Tong is often cited by papers focused on Neural dynamics and brain function (39 papers), EEG and Brain-Computer Interfaces (32 papers) and Functional Brain Connectivity Studies (25 papers). Li Tong collaborates with scholars based in China, United States and India. Li Tong's co-authors include Ying Zeng, Bin Yan, Chi Zhang, Ning Zhuang, Linyuan Wang, Jun Shu, Bin Yan, Hanming Zhang, Kai Qiao and Zhonglin Li and has published in prestigious journals such as PLoS ONE, Advanced Functional Materials and Journal of Agricultural and Food Chemistry.

In The Last Decade

Li Tong

86 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Li Tong China 21 832 407 186 141 121 97 1.4k
Zhiguo Zhang China 23 1.3k 1.5× 373 0.9× 72 0.4× 165 1.2× 107 0.9× 130 1.9k
Jin‐Hun Sohn South Korea 23 617 0.7× 355 0.9× 115 0.6× 148 1.0× 67 0.6× 126 1.7k
Yingjie Li China 17 752 0.9× 283 0.7× 109 0.6× 154 1.1× 58 0.5× 88 1.2k
Weigang Cui China 16 853 1.0× 112 0.3× 380 2.0× 146 1.0× 100 0.8× 37 1.5k
Dan Liao China 15 391 0.5× 456 1.1× 240 1.3× 147 1.0× 61 0.5× 32 1.2k
Rajamanickam Yuvaraj Singapore 21 1.3k 1.5× 275 0.7× 48 0.3× 312 2.2× 105 0.9× 48 1.8k
Christian O’Reilly Canada 18 923 1.1× 205 0.5× 63 0.3× 39 0.3× 222 1.8× 62 1.4k
Keivan Maghooli Iran 18 487 0.6× 338 0.8× 35 0.2× 147 1.0× 129 1.1× 102 969
José Manuel Ferrández Spain 17 406 0.5× 206 0.5× 38 0.2× 97 0.7× 115 1.0× 101 1.0k

Countries citing papers authored by Li Tong

Since Specialization
Citations

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

Fields of papers citing papers by Li Tong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Tong

This figure shows the co-authorship network connecting the top 25 collaborators of Li Tong. A scholar is included among the top collaborators of Li Tong 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 Tong. Li Tong 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.
Jin, Fei, et al.. (2025). Genetics‐Based Targeting Strategies for Precise Neuromodulation. Advanced Science. 12(28). e13817–e13817. 2 indexed citations
2.
3.
Li, Cuicui, Honghong Ren, Hsueh‐Erh Liu, et al.. (2024). Middle frontal gyrus volume mediates the relationship between interleukin-1β and antidepressant response in major depressive disorder. Journal of Affective Disorders. 372. 56–65. 3 indexed citations
4.
Li, Cuicui, Wen‐Xiong Chen, Xiaojing Li, et al.. (2023). Gray matter asymmetry atypical patterns in subgrouping minors with autism based on core symptoms. Frontiers in Neuroscience. 16. 1077908–1077908. 6 indexed citations
5.
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Deng, Na, Bisheng Zheng, Jian Chen, et al.. (2023). Apple peel polyphenol alleviates antibiotic-induced intestinal dysbiosis by modulating tight junction proteins, the TLR4/NF-κB pathway and intestinal flora. Food & Function. 14(14). 6678–6689. 10 indexed citations
7.
Li, Zhonglin, Hui Gao, Jing Zhou, et al.. (2023). Intermittent energy restriction changes the regional homogeneity of the obese human brain. Frontiers in Neuroscience. 17. 1201169–1201169. 3 indexed citations
8.
Zeng, Ying, et al.. (2023). Extremely negative emotion interferes with cognition: Evidence from ERPs and time-varying brain network. Journal of Neuroscience Methods. 396. 109922–109922. 9 indexed citations
9.
Deng, Na, et al.. (2022). Changes in polyphenol fractions and bacterial composition after in vitro fermentation of apple peel polyphenol by gut microbiota. International Journal of Food Science & Technology. 57(7). 4268–4276. 13 indexed citations
10.
11.
Jin, Fei, et al.. (2022). Physical Cue‐Based Strategies on Peripheral Nerve Regeneration. Advanced Functional Materials. 33(3). 36 indexed citations
12.
Zeng, Ying, et al.. (2022). A Collaborative Brain-Computer Interface Framework for Enhancing Group Detection Performance of Dynamic Visual Targets. Computational Intelligence and Neuroscience. 2022. 1–12. 5 indexed citations
13.
Zhuang, Ning, Li Tong, Bin Yan, et al.. (2021). Two-Level Domain Adaptation Neural Network for EEG-Based Emotion Recognition. Frontiers in Human Neuroscience. 14. 605246–605246. 55 indexed citations
14.
Zhang, Chi, et al.. (2020). A Comparative Analysis of Visual Encoding Models Based on Classification and Segmentation Task-Driven CNNs. Computational and Mathematical Methods in Medicine. 2020. 1–15. 1 indexed citations
15.
Zhang, Chi, Kai Qiao, Linyuan Wang, et al.. (2019). A visual encoding model based on deep neural networks and transfer learning for brain activity measured by functional magnetic resonance imaging. Journal of Neuroscience Methods. 325. 108318–108318. 26 indexed citations
16.
Shi, Liang, Li Tong, Hong Tao, et al.. (2018). P2.01-86 Genetic Profiling of Circulating Cell-Free DNA from Cerebrospinal Fluid and Plasma in ALK-Positive Lung Cancer with Brain Metastases. Journal of Thoracic Oncology. 13(10). S697–S698. 1 indexed citations
17.
Zhuang, Ning, Ying Zeng, Li Tong, et al.. (2017). Emotion Recognition from EEG Signals Using Multidimensional Information in EMD Domain. BioMed Research International. 2017. 1–9. 224 indexed citations
18.
19.
Giordano, Christian, Kamalika Mojumdar, Feng‐Xia Liang, et al.. (2014). Toll-like receptor 4 ablation in mdx mice reveals innate immunity as a therapeutic target in Duchenne muscular dystrophy. Human Molecular Genetics. 24(8). 2147–2162. 71 indexed citations
20.
Li, Liang, Bin Yan, Li Tong, Linyuan Wang, & Jianxin Li. (2014). Incremental Activation Detection for Real-Time fMRI Series Using Robust Kalman Filter. Computational and Mathematical Methods in Medicine. 2014. 1–7. 1 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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