Bao Ge

2.5k citations
56 papers · 1.3k · 1 hit paper · h-index 16

Impact in

    • Artificial Intelligence in Healthcare and Education
    • Functional Brain Connectivity Studies
    • EEG and Brain-Computer Interfaces
    • Neural dynamics and brain function

Papers in

Bao Ge

52 papers receiving 1.2k citations

Bao Ge's Hit Papers

Summary of ChatGPT-Related research and perspective towards the future of large language models 2023 · 442 citations
4420+1+2Years since publication100200300400

Peers

Bao Ge
Comparison fields: 5 of 139
  • Health Informatics 110
  • Cognitive Neuroscience 303
  • Radiology, Nuclear Medicine and Imaging 189
  • Artificial Intelligence 264
  • Computer Science Applications 34
Replace Luca Longo with:
Luca Longo Ireland
Yixuan Sun China
Jiaqi Gong United States
Soo Young Lee South Korea
Zhengliang Liu United States
Liang Peng China
Peter Eklund Australia
Qianglong Chen China
Youngbin Kim South Korea
Han Zhao China
Bao Ge relative to Luca Longo Ireland Luca Longo's profile →
Citations per field
00.5×3.4×
Luca Longo · 1×
Citations per year

Countries citing papers authored by Bao Ge

Since Specialization
Citations

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

Fields of papers citing papers by Bao Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bao 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 Bao Ge Line = papers co-authored together Bao Ge links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Summary of ChatGPT-Related research and perspective towards the future of large language models
Hit paper breakdown →
2023442
2 1999152
3 201473
4 201556
5 202447
6 201139
7 202029
8 202125
9 202024
10 201624
11 200924
12 202223
13 202222
14 202418
15 202317
16 201216
17 201514
18 202214
19 202214
20 202313

About Bao Ge

Bao Ge is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Artificial Intelligence and Materials Chemistry, having authored 56 papers that have together received 1.3k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (31 papers), Advanced Neuroimaging Techniques and Applications (16 papers), Neural dynamics and brain function (14 papers), EEG and Brain-Computer Interfaces (13 papers), Advanced MRI Techniques and Applications (10 papers), Fetal and Pediatric Neurological Disorders (3 papers), Topic Modeling (3 papers) and Image and Signal Denoising Methods (3 papers). The work is most often cited by research in Health Informatics (110 citations), Cognitive Neuroscience (303 citations), Radiology, Nuclear Medicine and Imaging (189 citations), Artificial Intelligence (264 citations) and Computer Science Applications (34 citations). Bao Ge has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Tianming Liu, Zhengliang Liu, Zihao Wu, Xiang Li, Mengshen He, Dajiang Zhu, Yiheng Liu, Sam Fong Yau Li, Lin Zhao and Jiaming Tian. Their work appears in journals such as Medical Image Analysis, Journal of Neural Engineering, Brain Imaging and Behavior, Materials Chemistry and Physics and Chemical Physics Letters.

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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