Daifa Wang
Impact in
- Acoustics and Ultrasonics top 0.5%
- Random lasers and scattering media
-
- Optical Imaging and Spectroscopy Techniques
Papers in
-
- Optical Imaging and Spectroscopy Techniques 31
-
- Photoacoustic and Ultrasonic Imaging 13
- Non-Invasive Vital Sign Monitoring 9
- Optical Coherence Tomography Applications 6
- Co-authors
- Jing Bai (4 shared papers)Xiaolei Song (4 shared papers)Haojiang Zhou (1 shared paper)Mooseok Jang (1 shared paper)Changhuei Yang (1 shared paper)Haowen Ruan (1 shared paper)Joshua Brake (1 shared paper)Deyu Li (18 shared papers)
- Journals
- Neurophotonics (4 papers)Optics Express (4 papers)Scientific Reports (3 papers)Medical Physics (2 papers)Chinese Optics Letters (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Daifa Wang
47 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 112
- Acoustics and Ultrasonics 224
- Radiology, Nuclear Medicine and Imaging 496
- Biophysics 85
- Biomedical Engineering 528
- Cognitive Neuroscience 201
Countries citing papers authored by Daifa Wang
This map shows the geographic impact of Daifa 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 Daifa Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daifa Wang more than expected).
Fields of papers citing papers by Daifa Wang
This network shows the impact of papers produced by Daifa 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 Daifa Wang. The network helps show where Daifa Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Daifa 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
Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 190 | |
| 2 | 2007 | 104 | |
| 3 | 2017 | 99 | |
| 4 | 2017 | 72 | |
| 5 | 2015 | 67 | |
| 6 | 2020 | 53 | |
| 7 | 2019 | 47 | |
| 8 | 2010 | 43 | |
| 9 | 2009 | 42 | |
| 10 | 2010 | 37 | |
| 11 | 2007 | 34 | |
| 12 | 2018 | 32 | |
| 13 | 2023 | 26 | |
| 14 | 2019 | 25 | |
| 15 | 2022 | 23 | |
| 16 | 2023 | 21 | |
| 17 | 2022 | 20 | |
| 18 | 2022 | 19 | |
| 19 | 2009 | 19 | |
| 20 | 2010 | 18 |
About Daifa Wang
Daifa Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Cognitive Neuroscience, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 52 papers that have together received 1.1k indexed citations. Recurring topics across this work include Optical Imaging and Spectroscopy Techniques (31 papers), Photoacoustic and Ultrasonic Imaging (13 papers), Non-Invasive Vital Sign Monitoring (9 papers), Optical Coherence Tomography Applications (6 papers), Functional Brain Connectivity Studies (6 papers), Heart Rate Variability and Autonomic Control (5 papers), EEG and Brain-Computer Interfaces (5 papers) and Orbital Angular Momentum in Optics (4 papers). The work is most often cited by research in Acoustics and Ultrasonics (224 citations), Radiology, Nuclear Medicine and Imaging (496 citations), Biophysics (85 citations), Biomedical Engineering (528 citations) and Cognitive Neuroscience (201 citations). Daifa Wang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Jing Bai, Xiaolei Song, Haojiang Zhou, Mooseok Jang, Changhuei Yang, Haowen Ruan, Joshua Brake, Deyu Li, Xin Liu and Dan Zhang. Their work appears in journals such as Neurophotonics, Optics Express, Scientific Reports, Medical Physics and Chinese Optics Letters.
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.