Kea‐Tiong Tang

7.1k citations
200 papers · 4.1k indexed · h-index 31
Topics
Advanced Memory and Neural Computing (70 papers)Advanced Chemical Sensor Technologies (57 papers)Gas Sensing Nanomaterials and Sensors (37 papers)
Partner nations
TaiwanChinaIran

In The Last Decade

Kea‐Tiong Tang

180 papers receiving 4.1k citations

Peers

Kea‐Tiong Tang
Comparison fields: 5 of 124
  • Electrical and Electronic Engineering 3.3k
  • Biomedical Engineering 1.3k
  • Cellular and Molecular Neuroscience 496
  • Artificial Intelligence 467
  • Bioengineering 386
Replace H. Troy Nagle with:
H. Troy Nagle United States
Xiaojin Zhao China
Wenbin Ye China
Ankur Srivastava United States
Eugenio Martinelli Italy
Ming Wang China
Giuseppe Ferri Italy
Kyung Ho Kim South Korea
Chi-Ying Tsui Hong Kong
Guang Li China
Kea‐Tiong Tang relative to H. Troy Nagle United States H. Troy Nagle's profile →
Citations per field
00.5×7.8×
H. Troy Nagle · 1×
Citations per year

Countries citing papers authored by Kea‐Tiong Tang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Kea‐Tiong Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Kea‐Tiong Tang. A scholar is included among the top collaborators of Kea‐Tiong Tang 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 Kea‐Tiong Tang. Kea‐Tiong Tang 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
#WorkIndexed citations
1 2
2 0
3 0
4 3
5 47
6 3
7 8
8 26
9 8
10 9
11 19
12 4
13 91
14 19
15 143
16 180
17 7
18 10
19 65
20 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) and Gas Sensing Nanomaterials and Sensors (37 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.

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