Jonathan T. W. Kuo

935 total citations · 1 hit paper
17 papers, 705 citations indexed

About

Jonathan T. W. Kuo is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Biomedical Engineering. According to data from OpenAlex, Jonathan T. W. Kuo has authored 17 papers receiving a total of 705 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cellular and Molecular Neuroscience, 7 papers in Cognitive Neuroscience and 6 papers in Biomedical Engineering. Recurrent topics in Jonathan T. W. Kuo's work include Neuroscience and Neural Engineering (10 papers), EEG and Brain-Computer Interfaces (7 papers) and Conducting polymers and applications (4 papers). Jonathan T. W. Kuo is often cited by papers focused on Neuroscience and Neural Engineering (10 papers), EEG and Brain-Computer Interfaces (7 papers) and Conducting polymers and applications (4 papers). Jonathan T. W. Kuo collaborates with scholars based in United States. Jonathan T. W. Kuo's co-authors include Ellis Meng, Lawrence Yu, Christian A. Gutierrez, Brian Kim, Seth A. Hara, Curtis D. Lee, Po-Ying Li, Roya Sheybani, Victor Pikov and Tuan Hoang and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, Sensors and Actuators B Chemical and Lab on a Chip.

In The Last Decade

Jonathan T. W. Kuo

15 papers receiving 685 citations

Hit Papers

Micromachined Thermal Flow Sensors—A Review 2012 2026 2016 2021 2012 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Micromachined Thermal Flow Sensors—A Review
    2012 380 citations Jonathan T. W. Kuo, Lawrence Yu et al. Micromachines profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan T. W. Kuo United States 9 442 349 215 101 84 17 705
Lawrence Yu United States 8 468 1.1× 343 1.0× 103 0.5× 37 0.4× 87 1.0× 14 662
Maarten Cauwe Belgium 16 295 0.7× 589 1.7× 113 0.5× 47 0.5× 59 0.7× 56 784
Sun-Il Chang United States 10 838 1.9× 379 1.1× 116 0.5× 439 4.3× 96 1.1× 20 1000
Yunqi Cao United States 15 366 0.8× 376 1.1× 72 0.3× 82 0.8× 98 1.2× 61 748
Daisuke Yamamoto Japan 10 752 1.7× 388 1.1× 53 0.2× 190 1.9× 76 0.9× 19 927
Hyoungho Ko South Korea 16 590 1.3× 595 1.7× 119 0.6× 66 0.7× 35 0.4× 139 894
Erik Jung Germany 18 240 0.5× 542 1.6× 94 0.4× 39 0.4× 147 1.8× 69 853
Hongen Tu United States 12 264 0.6× 190 0.5× 92 0.4× 65 0.6× 175 2.1× 25 475
Tae Hong Im South Korea 13 442 1.0× 390 1.1× 102 0.5× 145 1.4× 91 1.1× 14 790
Chao Hou China 9 409 0.9× 157 0.4× 62 0.3× 143 1.4× 90 1.1× 14 573

Countries citing papers authored by Jonathan T. W. Kuo

Since Specialization
Citations

This map shows the geographic impact of Jonathan T. W. Kuo'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 Jonathan T. W. Kuo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan T. W. Kuo more than expected).

Fields of papers citing papers by Jonathan T. W. Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan T. W. Kuo. 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 Jonathan T. W. Kuo. The network helps show where Jonathan T. W. Kuo may publish in the future.

Co-authorship network of co-authors of Jonathan T. W. Kuo

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan T. W. Kuo. A scholar is included among the top collaborators of Jonathan T. W. Kuo 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 Jonathan T. W. Kuo. Jonathan T. W. Kuo 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.
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.
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.
3.
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
4.
Yang, Libang, Xia Hong, Karen Smith, et al.. (2021). A CD44/Brg1 nuclear complex confers mesenchymal progenitor cells with enhanced fibrogenicity in idiopathic pulmonary fibrosis. JCI Insight. 6(9). 19 indexed citations
5.
Kuo, Jonathan T. W., et al.. (2020). Comparative antioxidant properties of water extracts from different parts of beefsteak plant (Perilla frutescens). Journal of Food and Drug Analysis. 17(6). 10 indexed citations
6.
Hara, Seth A., Brian Kim, Jonathan T. W. Kuo, et al.. (2016). Long-term stability of intracortical recordings using perforated and arrayed Parylene sheath electrodes. Journal of Neural Engineering. 13(6). 66020–66020. 42 indexed citations
7.
Lee, Curtis D., Seth A. Hara, Lawrence Yu, et al.. (2015). Matrigel coatings forParylene sheath neural probes. Journal of Biomedical Materials Research Part B Applied Biomaterials. 104(2). 357–368. 30 indexed citations
8.
Hara, Seth A., Brian Kim, Jonathan T. W. Kuo, & Ellis Meng. (2015). An Electrochemical Investigation of the Impact of Microfabrication Techniques on Polymer-Based Microelectrode Neural Interfaces. Journal of Microelectromechanical Systems. 24(4). 801–809. 8 indexed citations
9.
Kuo, Jonathan T. W., et al.. (2014). Fabrication and characterization of a microfluidic module for chemical gradient generation utilizing passive pumping. PubMed. 2014. 4415–4418. 2 indexed citations
10.
Hara, Seth A., Brian Kim, Jonathan T. W. Kuo, et al.. (2013). Perforated 2×2 Parylene sheath electrode array for chronic intracortical recording. 645–648. 3 indexed citations
11.
Lee, Curtis, Lawrence Yu, Jonathan T. W. Kuo, et al.. (2013). Drug eluting coating for 3D Parylene sheath electrode. 839–842. 2 indexed citations
12.
Kim, Brian, Seth A. Hara, Jonathan T. W. Kuo, et al.. (2013). Evaluation of post-fabrication thermoforming process for intracortical Parylene sheath electrode. 24. 379–382. 3 indexed citations
13.
Kuo, Jonathan T. W., Brian Kim, Seth A. Hara, et al.. (2012). Novel flexible Parylene neural probe with 3D sheath structure for enhancing tissue integration. Lab on a Chip. 13(4). 554–561. 96 indexed citations
14.
Kuo, Jonathan T. W., Lawrence Yu, & Ellis Meng. (2012). Micromachined Thermal Flow Sensors—A Review. Micromachines. 3(3). 550–573. 380 indexed citations breakdown →
15.
16.
Kuo, Jonathan T. W., et al.. (2010). A microfluidic platform with integrated flow sensing for focal chemical stimulation of cells and tissue. Sensors and Actuators B Chemical. 152(2). 267–276. 13 indexed citations
17.
Li, Po-Ying, Roya Sheybani, Christian A. Gutierrez, Jonathan T. W. Kuo, & Ellis Meng. (2009). A Parylene Bellows Electrochemical Actuator. Journal of Microelectromechanical Systems. 19(1). 215–228. 87 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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