Will Ke Wang
Impact in
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- Time Series Analysis and Forecasting
Papers in
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- Time Series Analysis and Forecasting 2
- Direction-of-Arrival Estimation Techniques 1
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- Astronomy and Astrophysical Research 2
- Co-authors
- Jessilyn Dunn (5 shared papers)Yihang Jiang (3 shared papers)Günter Schreier (1 shared paper)Nigel Hamilton Lovell (1 shared paper)Michael Marschollek (1 shared paper)Robert Avram (1 shared paper)Jeffrey E. Olgin (1 shared paper)Stephen James Redmond (1 shared paper)
- Journals
- Monthly Notices of the Royal Astronomical Society (2 papers)Journal of Medical Internet Research (2 papers)Sensors (2 papers)Signal Processing (1 paper)Cell Reports Methods (1 paper)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Will Ke Wang
15 papers receiving 281 citations
Peers
Comparison fields: 5 of 100
- Instrumentation 12
- Signal Processing 28
- Cardiology and Cardiovascular Medicine 48
- Biomedical Engineering 100
- Experimental and Cognitive Psychology 20
Countries citing papers authored by Will Ke Wang
This map shows the geographic impact of Will Ke Wang'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 Will Ke Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Will Ke Wang more than expected).
Fields of papers citing papers by Will Ke Wang
This network shows the impact of papers produced by Will Ke Wang. 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 Will Ke Wang. The network helps show where Will Ke Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Will Ke Wang, 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 | 2023 | 88 | |
| 2 | 2016 | 49 | |
| 3 | 2020 | 46 | |
| 4 | 2022 | 29 | |
| 5 | 2020 | 26 | |
| 6 | 2021 | 12 | |
| 7 | 2021 | 10 | |
| 8 | 2024 | 9 | |
| 9 | 2021 | 8 | |
| 10 | 2023 | 4 | |
| 11 | 2025 | 3 | |
| 12 | 2025 | 2 | |
| 13 | 2021 | 2 | |
| 14 | 2024 | 2 | |
| 15 | 2025 | 1 | |
| 16 | 2026 | 0 |
About Will Ke Wang
Will Ke Wang is a scholar working on Signal Processing, Instrumentation, Cognitive Neuroscience, Biomedical Engineering and Astronomy and Astrophysics, having authored 16 papers that have together received 291 indexed citations. Recurring topics across this work include Non-Invasive Vital Sign Monitoring (2 papers), Astronomy and Astrophysical Research (2 papers), Time Series Analysis and Forecasting (2 papers), Advanced Sensor and Energy Harvesting Materials (2 papers), Tactile and Sensory Interactions (2 papers), Obstructive Sleep Apnea Research (1 paper), Direction-of-Arrival Estimation Techniques (1 paper) and Sparse and Compressive Sensing Techniques (1 paper). The work is most often cited by research in Instrumentation (12 citations), Signal Processing (28 citations), Cardiology and Cardiovascular Medicine (48 citations), Biomedical Engineering (100 citations) and Experimental and Cognitive Psychology (20 citations). Will Ke Wang has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Jessilyn Dunn, Yihang Jiang, Günter Schreier, Nigel Hamilton Lovell, Michael Marschollek, Robert Avram, Jeffrey E. Olgin, Stephen James Redmond, Brinnae Bent and Michael Schukat. Their work appears in journals such as Monthly Notices of the Royal Astronomical Society, Journal of Medical Internet Research, Sensors, Signal Processing and Cell Reports Methods.
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.