Sheng Ge

961 citations
69 papers · 669 · h-index 14

Impact in

Papers in

Sheng Ge

62 papers receiving 665 citations

Peers

Sheng Ge
Comparison fields: 5 of 87
  • Cognitive Neuroscience 493
  • Human-Computer Interaction 47
  • Cellular and Molecular Neuroscience 135
  • Signal Processing 82
  • Experimental and Cognitive Psychology 83
Replace Junfeng Gao with:
Junfeng Gao China
Yufeng Ke China
Reiner Emkes Germany
Chi-Yuan Chang United States
Jesús Minguillón Spain
Minji Lee South Korea
Rutger Vlek Netherlands
Gernot G. Supp Germany
Pierpaolo Croce Italy
Sheng Ge relative to Junfeng Gao China Junfeng Gao's profile →
Citations per field
00.5×1.5×2.0×
Junfeng Gao · 1×
Citations per year

Countries citing papers authored by Sheng Ge

Since Specialization
Citations

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

Fields of papers citing papers by Sheng Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sheng Ge, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sheng Ge Line = papers co-authored together Sheng Ge links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201487
2 201868
3 201761
4 201846
5 201745
6 202130
7 201923
8 201922
9 201621
10 201621
11 201920
12 201415
13 201814
14 201713
15 202411
16 201011
17 201711
18 201711
19 20248
20 20147

About Sheng Ge

Sheng Ge is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Social Psychology, Signal Processing and Electrical and Electronic Engineering, having authored 69 papers that have together received 669 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (34 papers), Neuroscience and Neural Engineering (12 papers), Blind Source Separation Techniques (11 papers), Neural dynamics and brain function (11 papers), Non-Invasive Vital Sign Monitoring (8 papers), Neural and Behavioral Psychology Studies (7 papers), Advanced Memory and Neural Computing (7 papers) and Spatial Neglect and Hemispheric Dysfunction (7 papers). The work is most often cited by research in Cognitive Neuroscience (493 citations), Human-Computer Interaction (47 citations), Cellular and Molecular Neuroscience (135 citations), Signal Processing (82 citations) and Experimental and Cognitive Psychology (83 citations). Sheng Ge has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Pan Lin, Yue Leng, Dongchuan Yu, Junfeng Gao, Wenming Zheng, Haixian Wang, Keiji Iramina, Yuan Zong, Zhen Cui and Yang Li. Their work appears in journals such as IEEE Journal of Biomedical and Health Informatics, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Journal of Applied Physics, Frontiers in Behavioral Neuroscience and International Journal of Psychophysiology.

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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