Yee‐Leng Tan

419 total citations
17 papers, 275 citations indexed

About

Yee‐Leng Tan is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Yee‐Leng Tan has authored 17 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Psychiatry and Mental health, 7 papers in Cognitive Neuroscience and 6 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Yee‐Leng Tan's work include Epilepsy research and treatment (12 papers), EEG and Brain-Computer Interfaces (7 papers) and Pharmacological Effects and Toxicity Studies (4 papers). Yee‐Leng Tan is often cited by papers focused on Epilepsy research and treatment (12 papers), EEG and Brain-Computer Interfaces (7 papers) and Pharmacological Effects and Toxicity Studies (4 papers). Yee‐Leng Tan collaborates with scholars based in Singapore, United States and Canada. Yee‐Leng Tan's co-authors include Robert C. Knowlton, Wolfgang Mühlhofer, Susanne G. Mueller, Justin Dauwels, John Thomas, Brandon Westover, Sagar Karia, Nilesh Shah, Sydney S. Cash and Rahul Rathakrishnan and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Neurology.

In The Last Decade

Yee‐Leng Tan

15 papers receiving 270 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yee‐Leng Tan Singapore 8 177 146 65 56 43 17 275
Yogatheesan Varatharajah United States 10 161 0.9× 240 1.6× 70 1.1× 23 0.4× 26 0.6× 24 328
Rute Teotónio Portugal 7 224 1.3× 136 0.9× 66 1.0× 106 1.9× 34 0.8× 12 315
Hanneke E. Ronner Netherlands 7 131 0.7× 206 1.4× 53 0.8× 39 0.7× 28 0.7× 9 271
H. Guragain United States 8 162 0.9× 232 1.6× 101 1.6× 18 0.3× 31 0.7× 9 305
Marco Carnì Italy 10 88 0.5× 134 0.9× 49 0.8× 36 0.6× 118 2.7× 23 297
Ravindranadh Chowdary Mundlamuri India 10 224 1.3× 159 1.1× 106 1.6× 136 2.4× 31 0.7× 40 350
Giulia Varotto Italy 11 136 0.8× 332 2.3× 94 1.4× 19 0.3× 40 0.9× 19 441
Sergey Burnos Switzerland 7 276 1.6× 393 2.7× 169 2.6× 29 0.5× 34 0.8× 9 466
Petr Ježdík Czechia 10 134 0.8× 201 1.4× 91 1.4× 53 0.9× 21 0.5× 39 359
Karina A. González Otárula United States 9 185 1.0× 156 1.1× 104 1.6× 50 0.9× 24 0.6× 22 278

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-authorship network of co-authors of Yee‐Leng Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Yee‐Leng Tan. A scholar is included among the top collaborators of Yee‐Leng Tan 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 Yee‐Leng Tan. Yee‐Leng Tan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Saffari, Seyed Ehsan, et al.. (2024). Evaluation of prognostic scores for status epilepticus in the neurology ICU: A retrospective study. Journal of the Neurological Sciences. 459. 122953–122953. 2 indexed citations
2.
Cai, Yiying, et al.. (2023). The cost-effectiveness of a real-time seizure detection application for people with epilepsy. Epilepsy & Behavior. 148. 109441–109441.
3.
Tan, Yee‐Leng, et al.. (2023). Ictal EEG Source Imaging With Supplemental Electrodes. Journal of Clinical Neurophysiology. 41(6). 507–514. 1 indexed citations
4.
Tan, Yee‐Leng, Seyed Ehsan Saffari, & Nigel CK Tan. (2022). A framework for evaluating predictive models. Journal of Clinical Epidemiology. 150. 188–190. 6 indexed citations
5.
Thomas, John, Nishant Sinha, Rajamanickam Yuvaraj, et al.. (2022). Improving automated diagnosis of epilepsy from EEGs beyond IEDs. Journal of Neural Engineering. 19(6). 66017–66017. 14 indexed citations
6.
Thomas, John, et al.. (2022). Six-Center Assessment of CNN-Transformer with Belief Matching Loss for Patient-Independent Seizure Detection in EEG. International Journal of Neural Systems. 33(3). 2350012–2350012. 23 indexed citations
7.
Tan, Yee‐Leng, Karina A. González Otárula, Edward F. Chang, et al.. (2021). Patient specific prediction of temporal lobe epilepsy surgical outcomes. Epilepsia. 62(9). 2113–2122. 7 indexed citations
8.
Thomas, John, Jin Jing, Rajamanickam Yuvaraj, et al.. (2021). Automated Adult Epilepsy Diagnostic Tool Based on Interictal Scalp Electroencephalogram Characteristics: A Six-Center Study. International Journal of Neural Systems. 31(5). 2050074–2050074. 32 indexed citations
9.
Thomas, John, Jin Jing, Rajamanickam Yuvaraj, et al.. (2021). Time–Frequency Decomposition of Scalp Electroencephalograms Improves Deep Learning-Based Epilepsy Diagnosis. International Journal of Neural Systems. 31(8). 2150032–2150032. 24 indexed citations
10.
Thomas, John, Sagar Karia, Rahul Rathakrishnan, et al.. (2020). Five-institution study of automated classification of pathological slowing from adult scalp electroencephalograms. arXiv (Cornell University). 1 indexed citations
11.
Tan, Yee‐Leng, et al.. (2019). Teaching NeuroImages: Electroretinographic artifacts in EEG. Neurology. 93(17). e1660–e1661.
12.
Mühlhofer, Wolfgang, Yee‐Leng Tan, Susanne G. Mueller, & Robert C. Knowlton. (2017). MRI ‐negative temporal lobe epilepsy—What do we know?. Epilepsia. 58(5). 727–742. 133 indexed citations
13.
Otárula, Karina A. González, Yee‐Leng Tan, François Dubeau, et al.. (2017). Psychogenic nonepileptic seizures in patients with surgically treated temporal lobe epilepsy: Presurgical and de novo postsurgical occurrence. Epilepsy & Behavior. 75. 252–255. 9 indexed citations
14.
Knowlton, Robert C., Yee‐Leng Tan, Hosung Kim, Christopher P. Hess, & Yan Li. (2017). 7T MRS findings in focal epilepsy related to common malformations of cortical development (S55.006). Neurology. 88(16_supplement). 1 indexed citations
15.
Tan, Yee‐Leng, Wolfgang Mühlhofer, & Robert C. Knowlton. (2016). Pearls and Oy-sters: The chapeau de gendarme sign and other localizing gems in frontal lobe epilepsy. Neurology. 87(10). e103–5. 10 indexed citations
16.
Tan, Yee‐Leng, Amanda Ng, & Nagaendran Kandiah. (2013). Frontotemporal Dementia in Southeast Asia: A Comparative Study. SHILAP Revista de lepidopterología. 3(1). 1–9. 9 indexed citations
17.
Lee, Li Ching, Yee‐Leng Tan, Huay Cheem Tan, et al.. (2007). Abstract 3289: Vortex Formation Index in Heart Failure: Novel Non-invasive Assessment Of Fluid Dynamics using Transthoracic Echocardiography. Circulation. 116(suppl_16). 3 indexed citations

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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2026