Dan Liu

2.7k citations
114 papers · 2.0k · h-index 21

Impact in

Papers in

Dan Liu

105 papers receiving 1.9k citations

Peers

Dan Liu
Comparison fields: 5 of 156
  • Cognitive Neuroscience 783
  • Physical Therapy, Sports Therapy and Rehabilitation 104
  • Radiology, Nuclear Medicine and Imaging 245
  • Experimental and Cognitive Psychology 144
  • Human-Computer Interaction 59
Replace Adriano de Oliveira Andrade with:
Adriano de Oliveira Andrade Brazil
Enas Abdulhay Jordan
Oldřich Vyšata Czechia
Siti Anom Ahmad Malaysia
Yasuhiro Wada Japan
Mohamad Khalil Lebanon
Sawal Hamid Md Ali Malaysia
Farzad Towhidkhah Iran
Hans Hallez Belgium
Dan Liu relative to Adriano de Oliveira Andrade Brazil Adriano de Oliveira Andrade's profile →
Citations per field
00.5×3.9×
Adriano de Oliveira Andrade · 1×
Citations per year

Countries citing papers authored by Dan Liu

Since Specialization
Citations

This map shows the geographic impact of Dan Liu'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 Dan Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Liu more than expected).

Fields of papers citing papers by Dan Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan Liu. 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 Dan Liu. The network helps show where Dan Liu may publish in the future.

Co-authors

The 25 scholars most cited alongside Dan Liu, 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 Dan Liu Line = papers co-authored together Dan Liu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007333
2 2008167
3 2009118
4 2016102
5 2017100
6 201880
7 201770
8 201668
9 202267
10 202347
11 202342
12 201940
13 201228
14 202127
15 201127
16 201926
17 202323
18 202222
19 201522
20 200921

About Dan Liu

Dan Liu is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Control and Systems Engineering and Electrical and Electronic Engineering, having authored 114 papers that have together received 2.0k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (26 papers), Optical Imaging and Spectroscopy Techniques (12 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Non-Invasive Vital Sign Monitoring (7 papers), Medical Imaging Techniques and Applications (7 papers), Photoacoustic and Ultrasonic Imaging (7 papers), Muscle activation and electromyography studies (7 papers) and Gaze Tracking and Assistive Technology (6 papers). The work is most often cited by research in Cognitive Neuroscience (783 citations), Physical Therapy, Sports Therapy and Rehabilitation (104 citations), Radiology, Nuclear Medicine and Imaging (245 citations), Experimental and Cognitive Psychology (144 citations) and Human-Computer Interaction (59 citations). Dan Liu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Emanuel Todorov, Qisong Wang, Jinwei Sun, Ou Bai, Minghang Zhao, Xuyun Fu, Shanbao Tong, Jijun Wang, Xiuyuan Wang and Yingjie Li. Their work appears in journals such as Biomedical Signal Processing and Control, IEEE Transactions on Instrumentation and Measurement, Medical Physics, IEEE Journal of Biomedical and Health Informatics and Journal of Clinical Oncology.

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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