Tingxi Wen
- Cognitive Neuroscience top 10%
- Artificial Intelligence
- Computer Vision and Pattern Recognition top 10%
- Biomedical Engineering
- Signal Processing top 10%
- Co-authors
- Zhongnan ZhangKelvin K. L. WongJianlong HuangYu DuChuanbo HuangMeihong WangLizhen WangYuguang Ye
- Topics
- EEG and Brain-Computer Interfaces (7 papers)AI in cancer detection (4 papers)Blind Source Separation Techniques (4 papers)
- Journals
- PLoS ONEIEEE AccessMedicine
In The Last Decade
Tingxi Wen
28 papers receiving 453 citations
Peers
Comparison fields: 5 of 105
- Cognitive Neuroscience 188
- Artificial Intelligence 88
- Computer Vision and Pattern Recognition 87
- Biomedical Engineering 64
- Signal Processing 62
Countries citing papers authored by Tingxi Wen
This map shows the geographic impact of Tingxi Wen'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 Tingxi Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tingxi Wen more than expected).
Fields of papers citing papers by Tingxi Wen
This network shows the impact of papers produced by Tingxi Wen. 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 Tingxi Wen. The network helps show where Tingxi Wen may publish in the future.
Co-authorship network of co-authors of Tingxi Wen
This figure shows the co-authorship network connecting the top 25 collaborators of Tingxi Wen. A scholar is included among the top collaborators of Tingxi Wen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tingxi Wen. Tingxi Wen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 26 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 21 | |
| 6 | 24 | |
| 7 | 7 | |
| 8 | 13 | |
| 9 | 8 | |
| 10 | 14 | |
| 11 | 20 | |
| 12 | 12 | |
| 13 | 148 | |
| 14 | 15 | |
| 15 | 1 | |
| 16 | 48 | |
| 17 | Prediction model for outburst of coal and gas based on QGA-LSSVM | 2 |
| 18 | Research on prediction of mine water inrush source identification——Xinzhuangzi coalfield as an example | 4 |
| 19 | QGA-LSSVM model for mine water inrush source identification | 2 |
| 20 | Neural network prediction of unit fuel consumption of mining truck | 1 |
About Tingxi Wen
Tingxi Wen is a scholar working on Biophysics, Signal Processing and Computer Vision and Pattern Recognition, having authored 28 papers that have together received 471 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (7 papers), AI in cancer detection (4 papers) and Blind Source Separation Techniques (4 papers). The work is most often cited by research in Cognitive Neuroscience (188 citations), Signal Processing (62 citations) and Computer Vision and Pattern Recognition (87 citations). Tingxi Wen has collaborated with scholars based in China, Australia and Latvia. Frequent co-authors include Zhongnan Zhang, Kelvin K. L. Wong, Jianlong Huang, Yu Du, Chuanbo Huang, Meihong Wang, Lizhen Wang, Yu Du, Yuguang Ye and Ming Qiu. Their work appears in journals such as PLoS ONE, IEEE Access and Medicine.
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.