Yating Hu
Impact in
- Analytical Chemistry top 10%
- Spectroscopy and Chemometric Analyses
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- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
- Robotic Path Planning Algorithms
Papers in
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- Advanced Clustering Algorithms Research 10
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- Face and Expression Recognition 3
- Co-authors
- Benxue Ma (5 shared papers)Yujie Li (5 shared papers)Guowei Yu (5 shared papers)Weijiang Zhang (1 shared paper)Hela Elmannai (1 shared paper)Abeer D. Algarni (1 shared paper)Hongchen Zhang (2 shared papers)Jian Li (2 shared papers)
- Journals
- Foods (4 papers)Frontiers in Plant Science (2 papers)IEEE Transactions on Antennas and Propagation (2 papers)Sensors (2 papers)Environmental Pollution (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Yating Hu
34 papers receiving 280 citations
Peers
Comparison fields: 5 of 74
- Analytical Chemistry 68
- Computer Vision and Pattern Recognition 82
- Biophysics 20
- Neurology 18
- Media Technology 18
Countries citing papers authored by Yating Hu
This map shows the geographic impact of Yating Hu'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 Yating Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yating Hu more than expected).
Fields of papers citing papers by Yating Hu
This network shows the impact of papers produced by Yating Hu. 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 Yating Hu. The network helps show where Yating Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yating Hu, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 83 | |
| 2 | 2023 | 41 | |
| 3 | 2022 | 18 | |
| 4 | 2023 | 17 | |
| 5 | 2023 | 15 | |
| 6 | 2023 | 13 | |
| 7 | 2016 | 11 | |
| 8 | 2022 | 10 | |
| 9 | 2022 | 7 | |
| 10 | 2015 | 7 | |
| 11 | 2022 | 6 | |
| 12 | 2011 | 6 | |
| 13 | 2010 | 6 | |
| 14 | 2024 | 5 | |
| 15 | 2011 | 5 | |
| 16 | 2023 | 4 | |
| 17 | 2017 | 4 | |
| 18 | 2024 | 3 | |
| 19 | 2009 | 3 | |
| 20 | 2013 | 3 |
About Yating Hu
Yating Hu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Analytical Chemistry and Aerospace Engineering, having authored 38 papers that have together received 293 indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (10 papers), Spectroscopy and Chemometric Analyses (6 papers), Advanced Algorithms and Applications (5 papers), Smart Agriculture and AI (4 papers), Electromagnetic Scattering and Analysis (3 papers), Face and Expression Recognition (3 papers), Data Management and Algorithms (3 papers) and Remote-Sensing Image Classification (3 papers). The work is most often cited by research in Analytical Chemistry (68 citations), Computer Vision and Pattern Recognition (82 citations), Biophysics (20 citations), Neurology (18 citations) and Media Technology (18 citations). Yating Hu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Benxue Ma, Yujie Li, Guowei Yu, Weijiang Zhang, Hela Elmannai, Abeer D. Algarni, Hongchen Zhang, Jian Li, Huiling Chen and Ali Asghar Heidari. Their work appears in journals such as Foods, Frontiers in Plant Science, IEEE Transactions on Antennas and Propagation, Sensors and Environmental Pollution.
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.