Yu Guan

2.9k citations
81 papers · 1.8k indexed · 1 hit paper · h-index 20

Yu Guan

74 papers receiving 1.8k citations

Hit Papers

Ensembles of Deep LSTM Learners for Activity Recognition ...3702017202620202023100200300

Peers

Yu Guan
Comparison fields: 5 of 143
  • Computer Vision and Pattern Recognition 620
  • Physical Therapy, Sports Therapy and Rehabilitation 101
  • Human-Computer Interaction 66
  • Radiology, Nuclear Medicine and Imaging 271
  • Artificial Intelligence 370
Replace Charence Wong with:
Charence Wong United Kingdom
Fani Deligianni United Kingdom
María Lindén Sweden
Dewar Finlay United Kingdom
Xi Long Netherlands
Hamid GholamHosseini New Zealand
Mohamad Khalil Lebanon
Hugo Gambôa Portugal
Emmanuel Agu United States
Yu Guan relative to Charence Wong United Kingdom Charence Wong's profile →
Citations per field
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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-authorship network

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
#Work
1 20251
2 20251
3 20250
4 20252
5 202412
6 20242
7 20242
8 20241
9 20231
10 20234
11 202211
12 2020108
13 20202
14
Orchestrating Development Lifecycle of Machine Learning Based IoT Applications: A Survey.
20191
15
Order Matters: Shuffling Sequence Generation for Video Prediction
20190
16 2019118
17 2019103
18 20187
19
Research on Communication and Networking Technologies of Link16 Data Link
20100
20
On conditioned probability matrix and channel theory and Marcov chains
20001

About Yu Guan

Yu Guan is a scholar working on Physical Therapy, Sports Therapy and Rehabilitation, Computer Vision and Pattern Recognition and Occupational Therapy, having authored 81 papers that have together received 1.8k indexed citations. Recurring topics across this work include Chronic Obstructive Pulmonary Disease (COPD) Research (11 papers), Lung Cancer Diagnosis and Treatment (10 papers), Human Pose and Action Recognition (8 papers), Context-Aware Activity Recognition Systems (7 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Atomic and Subatomic Physics Research (6 papers), Anomaly Detection Techniques and Applications (6 papers) and Balance, Gait, and Falls Prevention (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (620 citations), Physical Therapy, Sports Therapy and Rehabilitation (101 citations) and Human-Computer Interaction (66 citations). Yu Guan has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Thomas Plötz, Shiyuan Liu, Bing Zhai, Jian Qing Shi, Yi Xia, João Palotti, Chang‐Tsun Li, Ignacio Perez-Pozuelo, Rana Zia Ur Rehman and Silvia Del Din. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

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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