Taiyun Chi

2.1k total citations
95 papers, 1.6k citations indexed

About

Taiyun Chi is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Taiyun Chi has authored 95 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Electrical and Electronic Engineering, 23 papers in Biomedical Engineering and 18 papers in Cellular and Molecular Neuroscience. Recurrent topics in Taiyun Chi's work include Radio Frequency Integrated Circuit Design (54 papers), Microwave Engineering and Waveguides (38 papers) and Neuroscience and Neural Engineering (18 papers). Taiyun Chi is often cited by papers focused on Radio Frequency Integrated Circuit Design (54 papers), Microwave Engineering and Waveguides (38 papers) and Neuroscience and Neural Engineering (18 papers). Taiyun Chi collaborates with scholars based in United States, China and Germany. Taiyun Chi's co-authors include Hua Wang, Sensen Li, Min-Yu Huang, Jong Hyeok Park, Jong-Seok Park, Huy Thong Nguyen, Tzu-Yuan Huang, Fei Wang, John Papapolymerou and Song Hu and has published in prestigious journals such as Neuron, Biosensors and Bioelectronics and IEEE Journal of Solid-State Circuits.

In The Last Decade

Taiyun Chi

87 papers receiving 1.6k citations

Peers

Taiyun Chi
Comparison fields: 5 of 76
  • Electrical and Electronic Engineering 1.3k
  • Biomedical Engineering 266
  • Aerospace Engineering 245
  • Cellular and Molecular Neuroscience 236
  • Cognitive Neuroscience 66
Replace M.N. Ericson with:
M.N. Ericson United States
Hao Gao Netherlands
Francisco G. Ruiz Spain
Christophe Loyez France
Hyoungho Ko South Korea
S. Mendis United States
Mona M. Hella United States
Shey‐Shi Lu Taiwan
Corrado Carta Germany
Kuang‐Wei Cheng Hong Kong
M.N. Ericson United States View profile →
Citations per field, relative to Taiyun Chi
Taiyun Chi · 1×
Citations per year, relative to Taiyun Chi
Taiyun Chi · 1×

Countries citing papers authored by Taiyun Chi

Since Specialization
Citations

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

Fields of papers citing papers by Taiyun Chi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taiyun Chi

This figure shows the co-authorship network connecting the top 25 collaborators of Taiyun Chi. A scholar is included among the top collaborators of Taiyun Chi 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 Taiyun Chi. Taiyun Chi 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
# Work Indexed citations
1 0
2 0
3 1
4 5
5 5
6 8
7 0
8 9
9 18
10 24
11 14
12 101
13 30
14 29
15 5
16 28
17 21
18 43
19 27
20 16

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