Jonathan T. W. Kuo

935 citations
17 papers · 705 indexed · 1 hit paper · h-index 9
Topics
Neuroscience and Neural Engineering (10 papers)EEG and Brain-Computer Interfaces (7 papers)Conducting polymers and applications (4 papers)
Partner nations
United States

In The Last Decade

Jonathan T. W. Kuo

15 papers receiving 685 citations

Hit Papers

Micromachined Thermal Flow Sensors—A Review20122026201620212012100200300

Peers

Jonathan T. W. Kuo
Comparison fields: 5 of 74
  • Biomedical Engineering 442
  • Electrical and Electronic Engineering 349
  • Cellular and Molecular Neuroscience 215
  • Cognitive Neuroscience 101
  • Mechanical Engineering 84
Replace Lawrence Yu with:
Lawrence Yu United States
Sun-Il Chang United States
Daisuke Yamamoto Japan
Yunqi Cao United States
Maarten Cauwe Belgium
Tae Hong Im South Korea
Hoc Khiem Trieu Germany
Hyoungho Ko South Korea
Qingying Ren China
Hongen Tu United States
Jonathan T. W. Kuo relative to Lawrence Yu United States Lawrence Yu's profile →
Citations per field
00.5×2.7×
Lawrence Yu · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 0
3 7
4 19
5 10
6 42
7 30
8 8
9 2
10 3
11 2
12 3
13 96
14 3
15
Micromachined Thermal Flow Sensors—A Reviewbreakdown →
380
16 13
17 87

About Jonathan T. W. Kuo

Jonathan T. W. Kuo is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Bioengineering, having authored 17 papers that have together received 705 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (10 papers), EEG and Brain-Computer Interfaces (7 papers) and Conducting polymers and applications (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (215 citations), Biomedical Engineering (442 citations) and Bioengineering (55 citations). Jonathan T. W. Kuo has collaborated with scholars based in United States. Frequent co-authors include Ellis Meng, Lawrence Yu, Christian A. Gutierrez, Seth A. Hara, Brian Kim, Curtis D. Lee, Po-Ying Li, Roya Sheybani, Victor Pikov and Tuan Hoang. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Sensors and Actuators B Chemical and Lab on a Chip.

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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