Ai‐Ling Hsu

720 citations
28 papers · 556 · h-index 10

Impact in

Papers in

Ai‐Ling Hsu

26 papers receiving 546 citations

Peers

Ai‐Ling Hsu
Comparison fields: 5 of 100
  • Psychiatry and Mental health 122
  • Cognitive Neuroscience 172
  • Neurology 63
  • Experimental and Cognitive Psychology 52
  • Radiology, Nuclear Medicine and Imaging 81
Replace Weijia Gao with:
Weijia Gao China
Benjamin Wade United States
Zhenghua Hou China
Myung J. Lee United States
Richard Joules United Kingdom
Jürgen Pripfl Austria
Yi Su China
Xiangrui Li United States
Jefferson Luiz Brum Marques Brazil
Ahmad Mayeli United States
Ai‐Ling Hsu relative to Weijia Gao China Weijia Gao's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ai‐Ling Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Ai‐Ling Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ai‐Ling Hsu. 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 Ai‐Ling Hsu. The network helps show where Ai‐Ling Hsu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011281
2 201955
3 201832
4 202028
5 201824
6 201814
7 201914
8 202012
9 202010
10 201910
11 20199
12 20179
13 20207
14 20157
15 20246
16 20256
17 20225
18 20165
19 20225
20 20234

About Ai‐Ling Hsu

Ai‐Ling Hsu is a scholar working on Cognitive Neuroscience, Cardiology and Cardiovascular Medicine, Endocrine and Autonomic Systems, Experimental and Cognitive Psychology and Radiology, Nuclear Medicine and Imaging, having authored 28 papers that have together received 556 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (16 papers), Heart Rate Variability and Autonomic Control (5 papers), EEG and Brain-Computer Interfaces (5 papers), Advanced MRI Techniques and Applications (4 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Neural dynamics and brain function (3 papers), Neuroscience of respiration and sleep (3 papers) and Transcranial Magnetic Stimulation Studies (2 papers). The work is most often cited by research in Psychiatry and Mental health (122 citations), Cognitive Neuroscience (172 citations), Neurology (63 citations), Experimental and Cognitive Psychology (52 citations) and Radiology, Nuclear Medicine and Imaging (81 citations). Ai‐Ling Hsu has collaborated with scholars based in Taiwan, United States and Belgium. Frequent co-authors include Ching‐Po Lin, Kun‐Hsien Chou, Carlton Chu, Peter A. Bandettini, Changwei W. Wu, Yi‐Ping Chao, Jaw‐Shiun Tsai, Chih‐Mao Huang, Feng‐Ying Huang and Tzung‐Jeng Hwang. Their work appears in journals such as Scientific Reports, Frontiers in Human Neuroscience, Frontiers in Neuroscience, NeuroImage and Frontiers in Psychiatry.

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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