Kea‐Tiong Tang
- Bioengineering top 0.5%
- Analytical Chemistry and Sensors 32
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- Advanced Memory and Neural Computing 70
- Gas Sensing Nanomaterials and Sensors 37
- Ferroelectric and Negative Capacitance Devices 35
- CCD and CMOS Imaging Sensors 31
- Hardware and Architecture top 2%
- Biomedical Engineering top 2%
- Advanced Chemical Sensor Technologies 57
- Analog and Mixed-Signal Circuit Design 29
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- Neuroscience and Neural Engineering 36
In The Last Decade
Kea‐Tiong Tang
180 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 124
- Bioengineering 386
- Electrical and Electronic Engineering 3.3k
- Hardware and Architecture 274
- Biomedical Engineering 1.3k
- Cellular and Molecular Neuroscience 496
Countries citing papers authored by Kea‐Tiong Tang
This map shows the geographic impact of Kea‐Tiong Tang'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 Kea‐Tiong Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kea‐Tiong Tang more than expected).
Fields of papers citing papers by Kea‐Tiong Tang
This network shows the impact of papers produced by Kea‐Tiong Tang. 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 Kea‐Tiong Tang. The network helps show where Kea‐Tiong Tang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kea‐Tiong Tang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 47 | |
| 6 | 2024 | 3 | |
| 7 | 2023 | 8 | |
| 8 | 2023 | 26 | |
| 9 | 2023 | 8 | |
| 10 | 2023 | 9 | |
| 11 | 2023 | 19 | |
| 12 | 2023 | 4 | |
| 13 | 2022 | 91 | |
| 14 | 2022 | 19 | |
| 15 | 2021 | 143 | |
| 16 | 2020 | 180 | |
| 17 | 2020 | 7 | |
| 18 | 2020 | 10 | |
| 19 | 2020 | 65 | |
| 20 | 2016 | 15 |
About Kea‐Tiong Tang
Kea‐Tiong Tang is a scholar working on Bioengineering, Electrical and Electronic Engineering and Cellular and Molecular Neuroscience, having authored 200 papers that have together received 4.1k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (70 papers), Advanced Chemical Sensor Technologies (57 papers), Gas Sensing Nanomaterials and Sensors (37 papers), Neuroscience and Neural Engineering (36 papers), Ferroelectric and Negative Capacitance Devices (35 papers), Analytical Chemistry and Sensors (32 papers), CCD and CMOS Imaging Sensors (31 papers) and Analog and Mixed-Signal Circuit Design (29 papers). The work is most often cited by research in Bioengineering (386 citations), Electrical and Electronic Engineering (3.3k citations) and Hardware and Architecture (274 citations). Kea‐Tiong Tang has collaborated with scholars based in Taiwan, China and Iran. Frequent co-authors include Shih-Wen Chiu, Meng‐Fan Chang, Chih-Cheng Hsieh, Ren-Shuo Liu, Sudhir Kumar Pandey, Ki‐Hyun Kim, Chung‐Chuan Lo, Wei-Chen Wei, Cheng-Xin Xue and Hung-Yi Hsieh. Their work appears in journals such as Science, Applied Physics Letters and Langmuir.
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.