Po-Hsuan Chen

28 papers receiving 519 citations

Peers

Po-Hsuan Chen
Comparison fields: 5 of 102
  • Aging 22
  • Bioengineering 41
  • Cognitive Neuroscience 96
  • Molecular Biology 231
  • Cellular and Molecular Neuroscience 56
Replace Yiqun Liu with:
Yiqun Liu China
Nordine Helassa United Kingdom
John Selberg United States
Xin An China
Rong Sun China
Paulo R. F. Rocha Portugal
Noriyuki Ohnishi Japan
Hanfei Li China
Aidos Baumuratov Luxembourg
Po-Hsuan Chen relative to Yiqun Liu China Yiqun Liu's profile →
Citations per field
00.5×8.7×
Yiqun Liu · 1×
Citations per year

Countries citing papers authored by Po-Hsuan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Po-Hsuan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Po-Hsuan Chen. 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 Po-Hsuan Chen. The network helps show where Po-Hsuan Chen may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004113
2
A reduced-dimension fMRI shared response model
201574
3 201374
4 201052
5 202246
6 201922
7 201916
8 201814
9
Transfer Learning on fMRI Datasets
201812
10 202012
11 201112
12 201611
13 202011
14 202110
15 20217
16 20177
17 20205
18 20195
19 20235
20 20204

About Po-Hsuan Chen

Po-Hsuan Chen is a scholar working on Molecular Biology, Bioengineering, Biomedical Engineering, Cognitive Neuroscience and Electrical and Electronic Engineering, having authored 30 papers that have together received 526 indexed citations. Recurring topics across this work include Analytical Chemistry and Sensors (8 papers), Advanced biosensing and bioanalysis techniques (4 papers), Functional Brain Connectivity Studies (4 papers), Advanced Fluorescence Microscopy Techniques (3 papers), Extracellular vesicles in disease (3 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Acoustic Wave Resonator Technologies (2 papers) and Neuroscience and Neural Engineering (2 papers). The work is most often cited by research in Aging (22 citations), Bioengineering (41 citations), Cognitive Neuroscience (96 citations), Molecular Biology (231 citations) and Cellular and Molecular Neuroscience (56 citations). Po-Hsuan Chen has collaborated with scholars based in Taiwan, United States and Italy. Frequent co-authors include Kuang‐Ming Hsiao, Cheng‐Chung Chou, Chia-Ping Lai, Jei‐Fu Shaw, Chang‐Lung Lee, Shu‐Hsing Wu, Peter J. Ramadge, Chien‐Chih Yang, Yu‐Lin Wang and James V. Haxby. Their work appears in journals such as Sensors and Actuators B Chemical, ECS Journal of Solid State Science and Technology, Science and Public Policy, Biomicrofluidics and Analytical Chemistry.

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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