Xin Gao
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- Artificial Intelligence in Healthcare 3
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- Fault Detection and Control Systems 5
- Artificial Intelligence top 5%
- Machine Learning in Healthcare 4
- Topic Modeling 3
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- Spectroscopy and Chemometric Analyses 8
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- Spectroscopy Techniques in Biomedical and Chemical Research 5
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- Mineral Processing and Grinding 4
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- RNA and protein synthesis mechanisms 3
- Journals
- SHILAP Revista de lepidopterología (1 paper)Bioinformatics (1 paper)Scientific Reports (1 paper)
- Partner nations
- ChinaUnited StatesSaudi Arabia
In The Last Decade
Xin Gao
47 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 139
- Health Information Management 110
- Control and Systems Engineering 309
- Artificial Intelligence 375
- Industrial and Manufacturing Engineering 96
- Computer Vision and Pattern Recognition 180
Countries citing papers authored by Xin Gao
This map shows the geographic impact of Xin 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 Xin Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin Gao more than expected).
Fields of papers citing papers by Xin Gao
This network shows the impact of papers produced by Xin 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 Xin Gao. The network helps show where Xin Gao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xin 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 0 | |
| 8 | 2023 | 8 | |
| 9 | 2022 | 17 | |
| 10 | 2021 | 15 | |
| 11 | 2021 | 9 | |
| 12 | 2018 | 11 | |
| 13 | 2018 | 8 | |
| 14 | 2017 | 34 | |
| 15 | Study on video stabilization performance assessment in electronic image stabilization | 2013 | 0 |
| 16 | 2013 | 68 | |
| 17 | A Data Collaboration Model for Collaborative Design Based on C-Net. | 2012 | 0 |
| 18 | 2011 | 3 | |
| 19 | 2006 | 11 | |
| 20 | Based on multiscale curvat ure feature extracting of plant leaf | 2003 | 1 |
About Xin Gao
Xin Gao is a scholar working on Biophysics, Analytical Chemistry and Health Information Management, having authored 56 papers that have together received 1.1k indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (8 papers), Spectroscopy Techniques in Biomedical and Chemical Research (5 papers), Fault Detection and Control Systems (5 papers), Machine Learning in Healthcare (4 papers), Mineral Processing and Grinding (4 papers), Topic Modeling (3 papers), Artificial Intelligence in Healthcare (3 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Health Information Management (110 citations), Control and Systems Engineering (309 citations) and Artificial Intelligence (375 citations). Xin Gao has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Fang Deng, Xianghu Yue, Jian Hou, Liantao Ma, Yasha Wang, Jiangtao Wang, Xinyu Ma, Wenjie Ruan, Junyi Gao and Xiangping Zhu. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics 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.