Jun Yao Gao
Impact in
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- Particle physics theoretical and experimental studies
- Dark Matter and Cosmic Phenomena
- Artificial Intelligence top 5%
- Advanced Graph Neural Networks
- Speech and dialogue systems
- Wireless Signal Modulation Classification
Papers in
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- Domain Adaptation and Few-Shot Learning 4
- Speech and dialogue systems 3
- Advanced Graph Neural Networks 2
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- Machine Fault Diagnosis Techniques 4
- Co-authors
- Xianzhen Xu (1 shared paper)Dan Thanh Ngoc Cao (1 shared paper)Yu Zhou (1 shared paper)Xiaofei Liu (1 shared paper)Chang Zhou (1 shared paper)Yuqiong Liu (1 shared paper)Gaoming Huang (5 shared papers)Grace M. Johnston (4 shared papers)
- Journals
- Assembly Automation (2 papers)Mechanical Systems and Signal Processing (2 papers)IET Radar Sonar & Navigation (2 papers)Frontiers in Oncology (1 paper)Journal of Pain and Symptom Management (1 paper)
- Partner nations
- ChinaFranceUnited States
In The Last Decade
Jun Yao Gao
81 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 67
- Nuclear and High Energy Physics 403
- Artificial Intelligence 216
- Control and Systems Engineering 142
- Computer Vision and Pattern Recognition 75
- Health Informatics 6
Countries citing papers authored by Jun Yao Gao
This map shows the geographic impact of Jun Yao Gao'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 Jun Yao Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Yao Gao more than expected).
Fields of papers citing papers by Jun Yao Gao
This network shows the impact of papers produced by Jun Yao Gao. 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 Jun Yao Gao. The network helps show where Jun Yao Gao may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Yao Gao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 171 | |
| 2 | 2017 | 147 | |
| 3 | 2019 | 138 | |
| 4 | 2014 | 135 | |
| 5 | 2014 | 99 | |
| 6 | 2010 | 56 | |
| 7 | 2021 | 56 | |
| 8 | 2018 | 47 | |
| 9 | 2018 | 46 | |
| 10 | 2012 | 37 | |
| 11 | 2021 | 36 | |
| 12 | 2014 | 30 | |
| 13 | 2022 | 28 | |
| 14 | 2015 | 26 | |
| 15 | 2017 | 25 | |
| 16 | 2021 | 24 | |
| 17 | 2022 | 23 | |
| 18 | 2013 | 22 | |
| 19 | 2024 | 21 | |
| 20 | 2011 | 18 |
About Jun Yao Gao
Jun Yao Gao is a scholar working on Artificial Intelligence, Control and Systems Engineering, Nuclear and High Energy Physics, Computer Vision and Pattern Recognition and Signal Processing, having authored 86 papers that have together received 1.5k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (5 papers), Machine Fault Diagnosis Techniques (4 papers), Medical Image Segmentation Techniques (4 papers), Domain Adaptation and Few-Shot Learning (4 papers), Palliative Care and End-of-Life Issues (4 papers), Web Data Mining and Analysis (3 papers), Speech and dialogue systems (3 papers) and Advanced Graph Neural Networks (2 papers). The work is most often cited by research in Nuclear and High Energy Physics (403 citations), Artificial Intelligence (216 citations), Control and Systems Engineering (142 citations), Computer Vision and Pattern Recognition (75 citations) and Health Informatics (6 citations). Jun Yao Gao has collaborated with scholars based in China, France and United States. Frequent co-authors include Xianzhen Xu, Dan Thanh Ngoc Cao, Yu Zhou, Xiaofei Liu, Chang Zhou, Yuqiong Liu, Gaoming Huang, Grace M. Johnston, Miriam Ruth Lavergne and Le Zhang. Their work appears in journals such as Assembly Automation, Mechanical Systems and Signal Processing, IET Radar Sonar & Navigation, Frontiers in Oncology and Journal of Pain and Symptom Management.
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.