Thomas K. Tcheng

1.9k total citations
35 papers, 1.2k citations indexed

About

Thomas K. Tcheng is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Cellular and Molecular Neuroscience. According to data from OpenAlex, Thomas K. Tcheng has authored 35 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Cognitive Neuroscience, 15 papers in Psychiatry and Mental health and 14 papers in Cellular and Molecular Neuroscience. Recurrent topics in Thomas K. Tcheng's work include EEG and Brain-Computer Interfaces (25 papers), Epilepsy research and treatment (15 papers) and Neurological disorders and treatments (13 papers). Thomas K. Tcheng is often cited by papers focused on EEG and Brain-Computer Interfaces (25 papers), Epilepsy research and treatment (15 papers) and Neurological disorders and treatments (13 papers). Thomas K. Tcheng collaborates with scholars based in United States, Switzerland and Denmark. Thomas K. Tcheng's co-authors include Martha J. Morrell, Rosana Esteller, Javier Echauz, Vikram R. Rao, Russell E. Berger, Jeffrey H. Goodman, Maxime O. Baud, Marc G. Leguia, Brian Litt and Sharanya Arcot Desai and has published in prestigious journals such as Brain, Current Biology and Annals of Neurology.

In The Last Decade

Thomas K. Tcheng

31 papers receiving 1.2k citations

Peers

Thomas K. Tcheng
Felice T. Sun United States
Richard J. Staba United States
Jonathan K. Kleen United States
Ashwini Oswal United Kingdom
S. Matt Stead United States
Piotr W. Olejniczak United States
Rachel Kelly United States
Thomas K. Tcheng
Citations per year, relative to Thomas K. Tcheng Thomas K. Tcheng (= 1×) peers Dániel Fabó

Countries citing papers authored by Thomas K. Tcheng

Since Specialization
Citations

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

Fields of papers citing papers by Thomas K. Tcheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas K. Tcheng. 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 Thomas K. Tcheng. The network helps show where Thomas K. Tcheng may publish in the future.

Co-authorship network of co-authors of Thomas K. Tcheng

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

All Works

20 of 20 papers shown
1.
Afzal, Muhammad Furqan, Sharanya Arcot Desai, Thomas K. Tcheng, et al.. (2025). Using vision transformers for electrographic seizure classification to aid physician review of intracranial electroencephalography recordings. Frontiers in Human Neuroscience. 19. 1680395–1680395.
2.
Menon, Karthik, Thomas K. Tcheng, Cairn G. Seale, et al.. (2025). Reconstructing signal during brain stimulation with Stim-BERT: a self-supervised learning model trained on millions of iEEG files. Frontiers in Artificial Intelligence. 8. 1502504–1502504.
3.
Afzal, Muhammad Furqan, Sharanya Arcot Desai, Jonathan T. W. Kuo, et al.. (2025). AI-Driven Electrographic Seizure Classification and Seizure Onset Detection Using Image- and Time-Series-Based Approaches. IEEE Transactions on Biomedical Engineering. 73(2). 872–880.
4.
Chiang, Sharon, Ankit N. Khambhati, Thomas K. Tcheng, et al.. (2024). State-dependent effects of responsive neurostimulation depend on seizure localization. Brain. 148(2). 521–532. 3 indexed citations
5.
Desai, Sharanya Arcot, Muhammad Furqan Afzal, Jonathan T. W. Kuo, et al.. (2023). Expert and deep learning model identification of iEEG seizures and seizure onset times. Frontiers in Neuroscience. 17. 1156838–1156838. 7 indexed citations
6.
Desai, Sharanya Arcot, Thomas K. Tcheng, & Martha J. Morrell. (2022). Non-linear Embedding Methods for Identifying Similar Brain Activity in 1 Million iEEG Records Captured From 256 RNS System Patients. Frontiers in Big Data. 5. 840508–840508. 10 indexed citations
7.
Proix, Timothée, Wilson Truccolo, Marc G. Leguia, et al.. (2020). Forecasting seizure risk in adults with focal epilepsy: a development and validation study. The Lancet Neurology. 20(2). 127–135. 122 indexed citations
8.
Ruoff, Leslie, Beata Jarosiewicz, Rochelle Zak, et al.. (2020). Sleep disruption is not observed with brain‐responsive neurostimulation for epilepsy. Epilepsia Open. 5(2). 155–165. 11 indexed citations
9.
Henin, Simon, Nicholas R. Hasulak, Daniel Friedman, et al.. (2019). Hippocampal gamma predicts associative memory performance as measured by acute and chronic intracranial EEG. Scientific Reports. 9(1). 593–593. 1 indexed citations
10.
Nune, George, Sharanya Arcot Desai, Babak Razavi, et al.. (2019). Treatment of drug-resistant epilepsy in patients with periventricular nodular heterotopia using RNS® System: Efficacy and description of chronic electrophysiological recordings. Clinical Neurophysiology. 130(8). 1196–1207. 20 indexed citations
11.
Meisenhelter, Stephen, Markus E. Testorf, Nicholas R. Hasulak, et al.. (2018). Cognitive tasks and human ambulatory electrocorticography using the RNS System. Journal of Neuroscience Methods. 311. 408–417. 11 indexed citations
12.
Skarpaas, Tara L., Thomas K. Tcheng, & Martha J. Morrell. (2018). Clinical and electrocorticographic response to antiepileptic drugs in patients treated with responsive stimulation. Epilepsy & Behavior. 83. 192–200. 45 indexed citations
13.
Aghajan, Zahra M., Peter J. Schuette, Tony Fields, et al.. (2017). Theta Oscillations in the Human Medial Temporal Lobe during Real-World Ambulatory Movement. Current Biology. 27(24). 3743–3751.e3. 98 indexed citations
14.
Anderson, Christopher T., Thomas K. Tcheng, Felice T. Sun, & Martha J. Morrell. (2015). Day–Night Patterns of Epileptiform Activity in 65 Patients With Long-Term Ambulatory Electrocorticography. Journal of Clinical Neurophysiology. 32(5). 406–412. 43 indexed citations
15.
Gillette, Martha U., Angela J. McArthur, Chen Liu, et al.. (2007). Intrinsic Neuronal Rhythms in the Suprachiasmatic Nuclei and their Adjustment. Novartis Foundation symposium. 183. 134–153. 22 indexed citations
16.
Duckrow, Robert B. & Thomas K. Tcheng. (2007). Daily Variation in an Intracranial EEG Feature in Humans Detected by a Responsive Neurostimulator System. Epilepsia. 48(8). 1614–1620. 24 indexed citations
17.
Goodman, Jeffrey H., Russell E. Berger, & Thomas K. Tcheng. (2005). Preemptive Low‐frequency Stimulation Decreases the Incidence of Amygdala‐kindled Seizures. Epilepsia. 46(1). 1–7. 133 indexed citations
18.
Esteller, Rosana, et al.. (2005). Line length: an efficient feature for seizure onset detection. 1707–1710. 189 indexed citations
19.
Esteller, Rosana, Javier Echauz, & Thomas K. Tcheng. (2005). Comparison of line length feature before and after brain electrical stimulation in epileptic patients. PubMed. 4. 4710–4713. 34 indexed citations
20.
Tcheng, Thomas K. & Martha U. Gillette. (1996). A novel carbon fiber bundle microelectrode and modified brain slice chamber for recording long-term multiunit activity from brain slices. Journal of Neuroscience Methods. 69(2). 163–169. 11 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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