Dan Liu

2.6k citations
114 papers · 1.9k indexed · h-index 21
Topics
EEG and Brain-Computer Interfaces (27 papers)Optical Imaging and Spectroscopy Techniques (12 papers)Medical Imaging Techniques and Applications (9 papers)

In The Last Decade

Dan Liu

103 papers receiving 1.9k citations

Peers

Dan Liu
Comparison fields: 5 of 160
  • Cognitive Neuroscience 812
  • Biomedical Engineering 383
  • Radiology, Nuclear Medicine and Imaging 293
  • Cardiology and Cardiovascular Medicine 214
  • Molecular Biology 205
Replace Oldřich Vyšata with:
Oldřich Vyšata Czechia
Adrian D. C. Chan Canada
Mohamad Khalil Lebanon
Tong Boon Tang Malaysia
Enas Abdulhay Jordan
Sawal Hamid Md Ali Malaysia
Feng He China
Rosa H. M. Chan Hong Kong
Manjunatha Mahadevappa India
Alexandros T. Tzallas Greece
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Citations per field
00.5×
Oldřich Vyšata · 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-authorship network of co-authors of Dan Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Liu. A scholar is included among the top collaborators of Dan Liu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dan Liu. Dan Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 8
2 0
3 3
4 10
5 39
6 0
7 0
8 2
9 1
10 4
11 14
12 26
13 68
14
The Efficient Synthesis and Biological Evaluation of Novel Bi-Functionalized Sarcophagine for 64Cu Radiopharmaceuticals
3
15
Application of localization algorithm for internet of things based on forest fire monitoring.
4
16 20
17
Improved variable step size (IVSS) LMS for active noise control system
2
18
Input signal reconstruction based on improved Moving Least Squares for nonlinear multiple-input multiple-output sensor
5
19 21
20 1

About Dan Liu

Dan Liu is a scholar working on Cognitive Neuroscience, Human-Computer Interaction and Radiology, Nuclear Medicine and Imaging, having authored 114 papers that have together received 1.9k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (27 papers), Optical Imaging and Spectroscopy Techniques (12 papers) and Medical Imaging Techniques and Applications (9 papers). The work is most often cited by research in Cognitive Neuroscience (812 citations), Physical Therapy, Sports Therapy and Rehabilitation (109 citations) and Radiology, Nuclear Medicine and Imaging (293 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, Xuyun Fu, Minghang Zhao, Xiuyuan Wang, Yingjie Li, Yisheng Zhu and Yihong Qiu. Their work appears in journals such as Journal of the American Chemical Society, Journal of Clinical Oncology and Journal of Neuroscience.

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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