Yi Guo

2.2k total citations · 4 hit papers
45 papers, 1.7k citations indexed

About

Yi Guo is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Neurology. According to data from OpenAlex, Yi Guo has authored 45 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cognitive Neuroscience, 11 papers in Biomedical Engineering and 10 papers in Neurology. Recurrent topics in Yi Guo's work include EEG and Brain-Computer Interfaces (13 papers), Functional Brain Connectivity Studies (12 papers) and Transcranial Magnetic Stimulation Studies (7 papers). Yi Guo is often cited by papers focused on EEG and Brain-Computer Interfaces (13 papers), Functional Brain Connectivity Studies (12 papers) and Transcranial Magnetic Stimulation Studies (7 papers). Yi Guo collaborates with scholars based in China, Hong Kong and United States. Yi Guo's co-authors include Xiping Hu, Bin Hu, Wenhao Yu, Shengming Xu, Zhaolong Ning, Xiaojie Wang, Ricky Y. K. Kwok, Lei Guo, Zhen Shang and Yingchao Zhang and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Analytical Chemistry.

In The Last Decade

Yi Guo

38 papers receiving 1.6k citations

Hit Papers

Mobile Edge Computing Enabled 5G Health Monitoring for In... 2020 2026 2022 2024 2020 2020 2022 2022 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yi Guo China 20 612 404 399 281 222 45 1.7k
Wei Liang China 21 1.0k 1.7× 648 1.6× 145 0.4× 121 0.4× 81 0.4× 111 1.7k
Quan Liu China 26 112 0.2× 115 0.3× 161 0.4× 67 0.2× 275 1.2× 106 2.1k
Yuan Zhang China 25 411 0.7× 318 0.8× 157 0.4× 11 0.0× 726 3.3× 180 2.8k
Leilei Wang China 20 327 0.5× 293 0.7× 67 0.2× 11 0.0× 69 0.3× 78 1.1k
Mohsin Jamil Pakistan 29 1.5k 2.4× 232 0.6× 117 0.3× 6 0.0× 535 2.4× 192 3.0k
Bryan Matthews United States 20 451 0.7× 112 0.3× 78 0.2× 12 0.0× 86 0.4× 62 1.5k
Ning Gao China 18 384 0.6× 271 0.7× 28 0.1× 33 0.1× 73 0.3× 115 1.0k
Xingxing Zhou China 18 169 0.3× 36 0.1× 155 0.4× 18 0.1× 107 0.5× 78 1.2k
Arpan Pal India 24 348 0.6× 468 1.2× 133 0.3× 5 0.0× 561 2.5× 220 2.2k

Countries citing papers authored by Yi Guo

Since Specialization
Citations

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

Fields of papers citing papers by Yi Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Yi Guo. A scholar is included among the top collaborators of Yi Guo 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 Yi Guo. Yi Guo 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.
Chen, Siyan, et al.. (2025). Diagnostic and inclusion criteria in Alzheimer's disease clinical trials: A systematic review of the past decade. Journal of Alzheimer s Disease Reports. 9. 4133479052–4133479052.
2.
Dang, Ge, Lin Zhu, Xue Shi, et al.. (2025). Are neurasthenia and depression the same disease entity? An electroencephalography study. BMC Psychiatry. 25(1). 44–44.
4.
Guo, Yi, et al.. (2024). MAST-GCN: Multi-Scale Adaptive Spatial-Temporal Graph Convolutional Network for EEG-Based Depression Recognition. IEEE Transactions on Affective Computing. 15(4). 1985–1996. 11 indexed citations
6.
Ahmad, Ijaz, Xin Wang, Li Lin, et al.. (2024). An Attention-Based Hybrid Deep Learning Approach for Patient-Specific, Cross-Patient, and Patient-Independent Seizure Detection. PubMed. 2024. 1–4. 1 indexed citations
7.
Zhu, Lin, Ge Dang, Xue Shi, et al.. (2023). Predicting response to repetitive transcranial magnetic stimulation in patients with chronic insomnia disorder using electroencephalography: A pilot study. Brain Research Bulletin. 206. 110851–110851. 8 indexed citations
8.
Zhu, Lin, Ge Dang, Wei Wu, et al.. (2023). Functional connectivity changes are correlated with sleep improvement in chronic insomnia patients after rTMS treatment. Frontiers in Neuroscience. 17. 1135995–1135995. 10 indexed citations
9.
Xu, Shihao, Xiping Hu, Edith C.‐H. Ngai, et al.. (2022). Emotion Recognition From Gait Analyses: Current Research and Future Directions. IEEE Transactions on Computational Social Systems. 11(1). 363–377. 31 indexed citations
10.
Xu, Shihao, Xiping Hu, Edith C.‐H. Ngai, et al.. (2022). Postgraduate Student Depression Assessment by Multimedia Gait Analysis. IEEE Multimedia. 29(2). 56–65. 19 indexed citations
11.
Zhang, Xinqi, Huixia Ren, Xiaolin Su, et al.. (2022). Dual-targeted repetitive transcranial magnetic stimulation modulates brain functional network connectivity to improve cognition in mild cognitive impairment patients. Frontiers in Physiology. 13. 1066290–1066290. 13 indexed citations
12.
Rao, Haocong, Siqi Wang, Xiping Hu, et al.. (2021). A Self-Supervised Gait Encoding Approach With Locality-Awareness for 3D Skeleton Based Person Re-Identification. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(10). 6649–6666. 64 indexed citations
13.
Cai, Min, Ge Dang, Xiaolin Su, et al.. (2021). Identifying Mild Cognitive Impairment in Parkinson’s Disease With Electroencephalogram Functional Connectivity. Frontiers in Aging Neuroscience. 13. 701499–701499. 14 indexed citations
14.
Ning, Zhaolong, Kaiyuan Zhang, Xiaojie Wang, et al.. (2020). Joint Computing and Caching in 5G-Envisioned Internet of Vehicles: A Deep Reinforcement Learning-Based Traffic Control System. IEEE Transactions on Intelligent Transportation Systems. 22(8). 5201–5212. 211 indexed citations breakdown →
15.
Xu, Shihao, Haocong Rao, Hong Peng, et al.. (2020). Attention-Based Multilevel Co-Occurrence Graph Convolutional LSTM for 3-D Action Recognition. IEEE Internet of Things Journal. 8(21). 15990–16001. 31 indexed citations
16.
Wang, Tao, Cancheng Li, Xiping Hu, et al.. (2019). Depression Prevalence in Postgraduate Students and Its Association With Gait Abnormality. IEEE Access. 7. 174425–174437. 45 indexed citations
17.
Wang, Xiaojie, Zhaolong Ning, MengChu Zhou, et al.. (2018). A Privacy-Preserving Message Forwarding Framework for Opportunistic Cloud of Things. IEEE Internet of Things Journal. 5(6). 5281–5295. 64 indexed citations
18.
Huang, Suli, Ziquan Lv, Ying Wen, et al.. (2018). miR‐129‐2‐3p directly targets SYK gene and associates with the risk of ischaemic stroke in a Chinese population. Journal of Cellular and Molecular Medicine. 23(1). 167–176. 10 indexed citations
19.
Jiang, Xin, et al.. (2013). Decreased Leukocyte Telomere Length (LTL) Is Associated with Stroke but Unlikely to Be Causative. PLoS ONE. 8(7). e68254–e68254. 24 indexed citations
20.
Li, Fangming, Yi Guo, Shenggang Sun, et al.. (2008). Free cholesterol-induced macrophage apoptosis is mediated by inositol-requiring enzyme 1 alpha-regulated activation of Jun N-terminal kinase. Acta Biochimica et Biophysica Sinica. 40(3). 226–234. 13 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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