Yu Guan

2.7k citations
89 papers · 1.9k · 1 hit paper · h-index 27

Impact in

Papers in

Yu Guan

80 papers receiving 1.9k citations

Yu Guan's Hit Papers

The communication mechanism of the gut-brain axis and its effect on central nervous system diseases: A systematic review 2024 · 72 citations
720+1Years since publication204060

Peers

Yu Guan
Comparison fields: 5 of 168
  • Computer Vision and Pattern Recognition 308
  • Human-Computer Interaction 82
  • Cancer Research 182
  • Nephrology 82
  • Statistics and Probability 93
Replace Seong‐Wook Park with:
Seong‐Wook Park South Korea
Jianrong Zhang China
Jiong Zhang China
Young‐Hak Kim South Korea
Zhao Chen China
Meng Li China
Uwe Krüger United States
Pierre Larochelle Canada
Kelvin K. L. Wong Australia
Yu Guan relative to Seong‐Wook Park South Korea Seong‐Wook Park's profile →
Citations per field
00.5×7.2×
Seong‐Wook Park · 1×
Citations per year

Countries citing papers authored by Yu Guan

Since Specialization
Citations

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

Fields of papers citing papers by Yu Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018152
2 2018102
3 2009101
4 201491
5 202187
6
The communication mechanism of the gut-brain axis and its effect on central nervous system diseases: A systematic review
Hit paper breakdown →
202472
7 202362
8 202049
9 201246
10 201345
11 202143
12 202042
13 201041
14 201240
15 200940
16 201039
17 202038
18 202038
19 201235
20 202435

About Yu Guan

Yu Guan is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Molecular Biology, Artificial Intelligence and Physiology, having authored 89 papers that have together received 1.9k indexed citations. Recurring topics across this work include Gait Recognition and Analysis (13 papers), Human Pose and Action Recognition (9 papers), Digital Media Forensic Detection (8 papers), Hand Gesture Recognition Systems (8 papers), Statistical Methods and Inference (7 papers), Sparse and Compressive Sensing Techniques (5 papers), Advanced Steganography and Watermarking Techniques (5 papers) and Advanced Statistical Methods and Models (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (308 citations), Human-Computer Interaction (82 citations), Cancer Research (182 citations), Nephrology (82 citations) and Statistics and Probability (93 citations). Yu Guan has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Chang‐Tsun Li, Yufeng Liu, Zhaojun Wang, Ying Chen, Fabio Roli, Mary E. Reid, Eric Kannisto, Yun Wu, Santosh K. Patnaik and Yunchen Yang. Their work appears in journals such as Journal of the American Statistical Association, Journal of Pediatric Surgery, Frontiers in Immunology, Technometrics and Environment International.

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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