Yi Xia
Impact in
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Human-Computer Interaction top 10%
- Gaze Tracking and Assistive Technology
Papers in
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- Human Pose and Action Recognition 3
- Advanced Image and Video Retrieval Techniques 3
-
- EEG and Brain-Computer Interfaces 5
- Co-authors
- Fei Wang (2 shared papers)Xiaoyu Li (2 shared papers)Dengyong Zhang (2 shared papers)Fan He (2 shared papers)Yongliang Zhang (2 shared papers)Li Feng (1 shared paper)Bing Wang (5 shared papers)Yangyang Xu (2 shared papers)
- Journals
- Biomedical Signal Processing and Control (6 papers)Neurocomputing (2 papers)Applied Sciences (2 papers)Remote Sensing (2 papers)IEEE Transactions on Instrumentation and Measurement (2 papers)
- Partner nations
- ChinaUnited StatesIraq
In The Last Decade
Yi Xia
23 papers receiving 386 citations
Peers
Comparison fields: 5 of 70
- Cognitive Neuroscience 181
- Human-Computer Interaction 35
- Signal Processing 44
- Media Technology 35
- Computer Vision and Pattern Recognition 72
Countries citing papers authored by Yi Xia
This map shows the geographic impact of Yi Xia'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 Yi Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Xia more than expected).
Fields of papers citing papers by Yi Xia
This network shows the impact of papers produced by Yi Xia. 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 Yi Xia. The network helps show where Yi Xia may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi Xia, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 85 | |
| 2 | 2022 | 52 | |
| 3 | 2020 | 46 | |
| 4 | 2023 | 32 | |
| 5 | 2021 | 24 | |
| 6 | 2017 | 21 | |
| 7 | 2023 | 16 | |
| 8 | 2018 | 16 | |
| 9 | 2017 | 15 | |
| 10 | 2015 | 15 | |
| 11 | 2022 | 12 | |
| 12 | 2022 | 12 | |
| 13 | 2022 | 10 | |
| 14 | 2023 | 9 | |
| 15 | 2019 | 8 | |
| 16 | 2021 | 5 | |
| 17 | 2016 | 3 | |
| 18 | 2020 | 3 | |
| 19 | 2024 | 2 | |
| 20 | 2017 | 2 |
About Yi Xia
Yi Xia is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Media Technology, Biomedical Engineering and Signal Processing, having authored 30 papers that have together received 392 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (5 papers), Gait Recognition and Analysis (4 papers), Advanced Image Fusion Techniques (4 papers), Spectroscopy and Chemometric Analyses (3 papers), Human Pose and Action Recognition (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Gaze Tracking and Assistive Technology (2 papers) and Analytical Chemistry and Chromatography (2 papers). The work is most often cited by research in Cognitive Neuroscience (181 citations), Human-Computer Interaction (35 citations), Signal Processing (44 citations), Media Technology (35 citations) and Computer Vision and Pattern Recognition (72 citations). Yi Xia has collaborated with scholars based in China, United States and Iraq. Frequent co-authors include Fei Wang, Xiaoyu Li, Dengyong Zhang, Fan He, Yongliang Zhang, Li Feng, Bing Wang, Yangyang Xu, Peng Chen and Jun Zhang. Their work appears in journals such as Biomedical Signal Processing and Control, Neurocomputing, Applied Sciences, Remote Sensing and IEEE Transactions on Instrumentation and Measurement.
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.