Yalan Ye
Impact in
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- ECG Monitoring and Analysis
- Heart Rate Variability and Autonomic Control
- Signal Processing top 10%
- Blind Source Separation Techniques
Papers in
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- Blind Source Separation Techniques 12
- Advanced Malware Detection Techniques 4
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- Domain Adaptation and Few-Shot Learning 5
- Co-authors
- Zhilin Zhang (8 shared papers)Fagen Li (3 shared papers)Mengshu Hou (5 shared papers)Jingjing Li (6 shared papers)Heng Tao Shen (5 shared papers)Ikram Ali (1 shared paper)Li Lu (6 shared papers)Yunxia Li (5 shared papers)
- Journals
- Energy Reports (3 papers)IEEE Transactions on Multimedia (2 papers)IEEE Internet of Things Journal (2 papers)Sensors (2 papers)Computer Methods and Programs in Biomedicine (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yalan Ye
62 papers receiving 548 citations
Peers
Comparison fields: 5 of 89
- Cardiology and Cardiovascular Medicine 169
- Signal Processing 64
- Artificial Intelligence 171
- Cognitive Neuroscience 93
- Biomedical Engineering 195
Countries citing papers authored by Yalan Ye
This map shows the geographic impact of Yalan Ye'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 Yalan Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yalan Ye more than expected).
Fields of papers citing papers by Yalan Ye
This network shows the impact of papers produced by Yalan Ye. 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 Yalan Ye. The network helps show where Yalan Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Yalan Ye, 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 83 | |
| 2 | 2020 | 46 | |
| 3 | 2019 | 41 | |
| 4 | 2017 | 33 | |
| 5 | 2021 | 29 | |
| 6 | 2020 | 26 | |
| 7 | 2008 | 23 | |
| 8 | 2020 | 20 | |
| 9 | 2021 | 15 | |
| 10 | 2018 | 15 | |
| 11 | 2023 | 15 | |
| 12 | 2019 | 14 | |
| 13 | 2012 | 11 | |
| 14 | 2020 | 10 | |
| 15 | 2022 | 10 | |
| 16 | 2021 | 10 | |
| 17 | 2022 | 9 | |
| 18 | 2006 | 9 | |
| 19 | 2021 | 9 | |
| 20 | 2022 | 9 |
About Yalan Ye
Yalan Ye is a scholar working on Signal Processing, Artificial Intelligence, Cardiology and Cardiovascular Medicine, Cognitive Neuroscience and Computer Networks and Communications, having authored 73 papers that have together received 570 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (14 papers), ECG Monitoring and Analysis (14 papers), Blind Source Separation Techniques (12 papers), Emotion and Mood Recognition (8 papers), Non-Invasive Vital Sign Monitoring (6 papers), Domain Adaptation and Few-Shot Learning (5 papers), Advanced Algorithms and Applications (4 papers) and Advanced Malware Detection Techniques (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (169 citations), Signal Processing (64 citations), Artificial Intelligence (171 citations), Cognitive Neuroscience (93 citations) and Biomedical Engineering (195 citations). Yalan Ye has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Zhilin Zhang, Fagen Li, Mengshu Hou, Jingjing Li, Heng Tao Shen, Ikram Ali, Li Lu, Yunxia Li, Ziqing Wang and Xiaoguang Liu. Their work appears in journals such as Energy Reports, IEEE Transactions on Multimedia, IEEE Internet of Things Journal, Sensors and Computer Methods and Programs in Biomedicine.
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.