Daifa Wang

1.4k citations
51 papers · 1.1k · h-index 18

Impact in

Papers in

Daifa Wang

47 papers receiving 1.0k citations

Peers

Daifa Wang
Comparison fields: 5 of 112
  • Acoustics and Ultrasonics 221
  • Radiology, Nuclear Medicine and Imaging 493
  • Biophysics 92
  • Biomedical Engineering 557
  • Cognitive Neuroscience 233
Replace Heidrun Wabnitz with:
Heidrun Wabnitz Germany
Martin Hohmann Germany
Kartikeya Murari Canada
Amy Robichaux‐Viehoever United States
Peng Miao China
Martin Fry United Kingdom
David Gräßel Germany
Prasun K. Roy India
Vlad Toronov United States
Pan Wang China
Daifa Wang relative to Heidrun Wabnitz Germany Heidrun Wabnitz's profile →
Citations per field
00.5×5.4×
Heidrun Wabnitz · 1×
Citations per year

Countries citing papers authored by Daifa Wang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Daifa Wang Line = papers co-authored together Daifa Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015187
2 2007101
3 201792
4 201770
5 201554
6 202050
7 201043
8 201942
9 200937
10 201036
11 200733
12 201831
13 201925
14 202322
15 202221
16 200919
17 202218
18 201018
19 202117
20 202216

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 51 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 (14 papers), Non-Invasive Vital Sign Monitoring (10 papers), Functional Brain Connectivity Studies (9 papers), Heart Rate Variability and Autonomic Control (8 papers), Optical Coherence Tomography Applications (6 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 (221 citations), Radiology, Nuclear Medicine and Imaging (493 citations), Biophysics (92 citations), Biomedical Engineering (557 citations) and Cognitive Neuroscience (233 citations). Daifa Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jing Bai, Xiaolei Song, Haojiang Zhou, Joshua Brake, Haowen Ruan, Mooseok Jang, Changhuei Yang, Deyu Li, Xin Liu and Dan Zhang. Their work appears in journals such as Optics Express, Scientific Reports, Neurophotonics, Medical Physics and IEEE Access.

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.

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