I‐Hui Lee

3.4k citations
90 papers · 2.5k · h-index 28

Impact in

Papers in

I‐Hui Lee

83 papers receiving 2.5k citations

Peers

I‐Hui Lee
Comparison fields: 5 of 124
  • Neurology 481
  • Developmental Neuroscience 162
  • Biological Psychiatry 90
  • Rehabilitation 162
  • Cellular and Molecular Neuroscience 468
Replace Nathalie Kubis with:
Nathalie Kubis France
F. Javier Rubio Spain
Keith E. Tansey United States
Timothy J. England United Kingdom
Wolf‐Rüdiger Schäbitz Germany
Yung‐Hsiao Chiang Taiwan
Chuansheng Zhao China
Girolama Alessandra Marfia Italy
Giovanni Cirillo Italy
Giuseppe Moretto Italy
I‐Hui Lee relative to Nathalie Kubis France Nathalie Kubis's profile →
Citations per field
00.5×1.5×2.1×
Nathalie Kubis · 1×
Citations per year

Countries citing papers authored by I‐Hui Lee

Since Specialization
Citations

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

Fields of papers citing papers by I‐Hui Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I‐Hui Lee. 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 I‐Hui Lee. The network helps show where I‐Hui Lee may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012291
2 2013257
3 2012100
4 200587
5 201184
6 201583
7 200782
8 200482
9 201980
10 200977
11 201358
12 201257
13 201554
14 201954
15 201248
16 201146
17 201445
18 201145
19 200544
20 201444

About I‐Hui Lee

I‐Hui Lee is a scholar working on Pulmonary and Respiratory Medicine, Cognitive Neuroscience, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 90 papers that have together received 2.5k indexed citations. Recurring topics across this work include Cerebrovascular and Carotid Artery Diseases (10 papers), Acute Ischemic Stroke Management (8 papers), Transcranial Magnetic Stimulation Studies (7 papers), Bipolar Disorder and Treatment (6 papers), EEG and Brain-Computer Interfaces (6 papers), Nerve injury and regeneration (5 papers), Neurogenesis and neuroplasticity mechanisms (4 papers) and Functional Brain Connectivity Studies (4 papers). The work is most often cited by research in Neurology (481 citations), Developmental Neuroscience (162 citations), Biological Psychiatry (90 citations), Rehabilitation (162 citations) and Cellular and Molecular Neuroscience (468 citations). I‐Hui Lee has collaborated with scholars based in Taiwan, United States and Sweden. Frequent co-authors include Yung‐Yang Lin, Kwong‐Kum Liao, Wan‐Yu Hsu, Chia‐Hsiung Cheng, Bing‐Wen Soong, Yi‐Chung Lee, Ko‐Hsun Liao, Wei‐Shiang Lin, Shu‐Meng Cheng and Wen‐Yu Lin. Their work appears in journals such as PLoS ONE, Stroke, American Journal of Neuroradiology, Medicine and Scientific Reports.

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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