Yee‐Leng Tan

15 papers receiving 270 citations

Peers

Yee‐Leng Tan
Comparison fields: 5 of 57
  • Psychiatry and Mental health 177
  • Cognitive Neuroscience 146
  • Cellular and Molecular Neuroscience 65
  • Pediatrics, Perinatology and Child Health 56
  • Signal Processing 26
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Rute Teotónio Portugal
Hanneke E. Ronner Netherlands
Ravindranadh Chowdary Mundlamuri India
Petr Ježdík Czechia
Karina A. González Otárula United States
Martin Tomášek Czechia
Saleem Malik United States
Olesya Grinenko United States
Marta Amengual‐Gual United States
Giulia Varotto Italy
Yee‐Leng Tan relative to Rute Teotónio Portugal Rute Teotónio's profile →
Citations per field
00.5×2.9×
Rute Teotónio · 1×
Citations per year

Countries citing papers authored by Yee‐Leng Tan

Since Specialization
Citations

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

Fields of papers citing papers by Yee‐Leng Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yee‐Leng Tan. 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 Yee‐Leng Tan. The network helps show where Yee‐Leng Tan may publish in the future.

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2017133
2 202132
3 202124
4 202223
5 202214
6 201610
7 20179
8 20139
9 20217
10 20226
11 20073
12 20242
13
Five-institution study of automated classification of pathological slowing from adult scalp electroencephalograms
20201
14 20171
15 20231
16 20230
17 20190

About Yee‐Leng Tan

Yee‐Leng Tan is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience, Pediatrics, Perinatology and Child Health, Molecular Biology and Cellular and Molecular Neuroscience, having authored 17 papers that have together received 275 indexed citations. Recurring topics across this work include Epilepsy research and treatment (12 papers), EEG and Brain-Computer Interfaces (7 papers), Pharmacological Effects and Toxicity Studies (4 papers), Machine Learning in Bioinformatics (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Machine Learning in Healthcare (2 papers), Cardiovascular Function and Risk Factors (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Psychiatry and Mental health (177 citations), Cognitive Neuroscience (146 citations), Cellular and Molecular Neuroscience (65 citations), Pediatrics, Perinatology and Child Health (56 citations) and Signal Processing (26 citations). Yee‐Leng Tan has collaborated with scholars based in Singapore, United States and Canada. Frequent co-authors include Robert C. Knowlton, Wolfgang Mühlhofer, Susanne G. Mueller, Justin Dauwels, John Thomas, Rajamanickam Yuvaraj, Brandon Westover, Sagar Karia, Sydney S. Cash and Rohit Srivastava. Their work appears in journals such as International Journal of Neural Systems, Neurology, Epilepsy & Behavior, Epilepsia and Journal of Clinical Neurophysiology.

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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