David Hsu

2.9k total citations
79 papers, 2.1k citations indexed

About

David Hsu is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, David Hsu has authored 79 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Psychiatry and Mental health, 26 papers in Cognitive Neuroscience and 18 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in David Hsu's work include Epilepsy research and treatment (28 papers), EEG and Brain-Computer Interfaces (13 papers) and Spectroscopy and Quantum Chemical Studies (12 papers). David Hsu is often cited by papers focused on Epilepsy research and treatment (28 papers), EEG and Brain-Computer Interfaces (13 papers) and Spectroscopy and Quantum Chemical Studies (12 papers). David Hsu collaborates with scholars based in United States, Australia and Chile. David Hsu's co-authors include J. L. Skinner, Carl E. Stafstrom, Bruce P. Hermann, Jana E. Jones, Michael Seidenberg, John E. Straub, Kevin Dabbs, Daren C. Jackson, Jack J. Lin and Patricia Amara and has published in prestigious journals such as The Journal of Chemical Physics, PLoS ONE and Proceedings of the IEEE.

In The Last Decade

David Hsu

77 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Hsu United States 29 692 521 515 436 326 79 2.1k
Jullie W. Pan United States 43 892 1.3× 460 0.9× 614 1.2× 877 2.0× 208 0.6× 99 4.2k
Daniel M. Spielman United States 45 419 0.6× 835 1.6× 627 1.2× 363 0.8× 233 0.7× 168 5.6k
Thomas H. Mareci United States 40 189 0.3× 263 0.5× 553 1.1× 439 1.0× 422 1.3× 135 5.0k
Thomas Ernst United States 46 411 0.6× 366 0.7× 1.2k 2.2× 816 1.9× 625 1.9× 142 6.6k
James W. Hugg United States 31 1.2k 1.7× 278 0.5× 558 1.1× 819 1.9× 311 1.0× 73 3.1k
Graham C. Wiggins United States 32 370 0.5× 801 1.5× 987 1.9× 198 0.5× 175 0.5× 74 3.6k
E.J. Hoffman United States 33 382 0.6× 508 1.0× 480 0.9× 454 1.0× 78 0.2× 104 6.4k
Kjell Erlandsson United Kingdom 33 425 0.6× 126 0.2× 389 0.8× 452 1.0× 67 0.2× 170 3.7k
Dmitry S. Novikov United States 43 245 0.4× 738 1.4× 1.0k 2.0× 209 0.5× 587 1.8× 126 7.1k
Roger J. Ordidge United Kingdom 46 194 0.3× 826 1.6× 591 1.1× 397 0.9× 619 1.9× 206 7.1k

Countries citing papers authored by David Hsu

Since Specialization
Citations

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

Fields of papers citing papers by David Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Hsu

This figure shows the co-authorship network connecting the top 25 collaborators of David Hsu. A scholar is included among the top collaborators of David Hsu 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 David Hsu. David Hsu 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.
Almane, Dace, Robyn M. Busch, Lisa Ferguson, et al.. (2025). Application of the International Classification of Cognitive Disorders in Epilepsy (IC-CoDE) to youths with new and recent onset epilepsies. Epilepsy & Behavior. 171. 110606–110606. 1 indexed citations
2.
Carrasco, Melisa, et al.. (2024). Lacosamide Boluses Decreased Seizure Burden and Were Well Tolerated in Neonates With Acute Seizures: A Single-Center Retrospective Case Series. Journal of Child Neurology. 40(2). 116–122. 1 indexed citations
3.
Margolis, Amanda, et al.. (2023). Real-world, long-term evaluation of the tolerability and therapy retention of Epidiolex® (cannabidiol) in patients with refractory epilepsy. Epilepsy & Behavior. 141. 109159–109159. 29 indexed citations
4.
Jouny, Christophe C., et al.. (2022). Automated seizure activity tracking and onset zone localization from scalp EEG using deep neural networks. PLoS ONE. 17(2). e0264537–e0264537. 16 indexed citations
5.
Hsu, David, et al.. (2021). Unexpected pain with electrocortical stimulation in a teenager with temporal encephalocele. Epilepsy & Behavior Reports. 16. 100444–100444. 1 indexed citations
6.
Hsu, David & Ke‐Vin Chang. (2019). Biceps Tendon Rupture. 2 indexed citations
7.
Almane, Dace, Jana E. Jones, Carl E. Stafstrom, et al.. (2019). The Timing, Nature, and Range of Neurobehavioral Comorbidities in Juvenile Myoclonic Epilepsy. Pediatric Neurology. 101. 47–52. 26 indexed citations
8.
Jackson, Daren C., Jana E. Jones, David Hsu, et al.. (2018). Language function in childhood idiopathic epilepsy syndromes. Brain and Language. 193. 4–9. 15 indexed citations
9.
Garcia‐Ramos, Camille, Kevin Dabbs, M. Elizabeth Meyerand, et al.. (2018). Psychomotor slowing is associated with anomalies in baseline and prospective large scale neural networks in youth with epilepsy. NeuroImage Clinical. 19. 222–231. 7 indexed citations
10.
Almane, Dace, Qianqian Zhao, Paul J. Rathouz, et al.. (2018). Contribution of Family Relatedness to Neurobehavioral Comorbidities in Idiopathic Childhood Epilepsies. Journal of the International Neuropsychological Society. 24(7). 653–661. 10 indexed citations
11.
Lenk, Guy M., Krystyna Szymańska, Grażyna Dębska–Vielhaber, et al.. (2016). Biallelic Mutations of VAC14 in Pediatric-Onset Neurological Disease. The American Journal of Human Genetics. 99(1). 188–194. 41 indexed citations
12.
Hermann, Bruce P., Qianqian Zhao, Daren C. Jackson, et al.. (2016). Cognitive phenotypes in childhood idiopathic epilepsies. Epilepsy & Behavior. 61. 269–274. 36 indexed citations
13.
Hsu, David, Daren C. Jackson, Carl E. Stafstrom, et al.. (2015). Correlation of EEG with neuropsychological status in children with epilepsy. Clinical Neurophysiology. 127(2). 1196–1205. 8 indexed citations
14.
Almane, Dace, Jana E. Jones, Daren C. Jackson, et al.. (2015). Brief clinical screening for academic underachievement in new-onset childhood epilepsy: Utility and longitudinal results. Epilepsy & Behavior. 43. 117–121. 11 indexed citations
15.
Peciña, Marta, Brian J. Mickey, Tiffany Love, et al.. (2012). DRD2 polymorphisms modulate reward and emotion processing, dopamine neurotransmission and openness to experience. Cortex. 49(3). 877–890. 60 indexed citations
16.
Lin, Jack J., Jeff Riley, David Hsu, et al.. (2012). Striatal hypertrophy and its cognitive effects in new‐onset benign epilepsy with centrotemporal spikes. Epilepsia. 53(4). 677–685. 46 indexed citations
17.
Hsu, David, et al.. (2010). Time–frequency analysis using damped-oscillator pseudo-wavelets: Application to electrophysiological recordings. Journal of Neuroscience Methods. 194(1). 179–192. 5 indexed citations
18.
Allen, Carl E., Ricardo J. Flores, Ronald A. Rauch, et al.. (2009). Neurodegenerative central nervous system Langerhans cell histiocytosis and coincident hydrocephalus treated with vincristine/cytosine arabinoside. Pediatric Blood & Cancer. 54(3). 416–423. 57 indexed citations
19.
Shon, Aaron P., David Hsu, & C. Diorio. (2001). Learning Spike-Based Correlations and Conditional Probabilities in Silicon. Neural Information Processing Systems. 1123–1130. 8 indexed citations
20.
Hsu, David, Miguel Figueroa, & C. Diorio. (2000). A Silicon Primitive for Competitive Learning. Neural Information Processing Systems. 713–719. 10 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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