Kun-Ta Chuang

50 papers receiving 435 citations

Peers

Kun-Ta Chuang
Comparison fields: 5 of 79
  • Signal Processing 104
  • Information Systems 140
  • Artificial Intelligence 181
  • Marketing 42
  • Computational Theory and Mathematics 68
Replace Robin Senge with:
Robin Senge Germany
Fan Guo United States
Zhenhua Tan China
Mohan Timilsina Ireland
Darius Braziunas Canada
Rajiv Khanna United States
Nicolas Usunier France
Souptik Datta United States
Samantha Hansen United States
Kun-Ta Chuang relative to Robin Senge Germany Robin Senge's profile →
Citations per field
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Robin Senge · 1×
Citations per year

Countries citing papers authored by Kun-Ta Chuang

Since Specialization
Citations

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

Fields of papers citing papers by Kun-Ta Chuang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kun-Ta Chuang. 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 Kun-Ta Chuang. The network helps show where Kun-Ta Chuang may publish in the future.

Co-authors

The 25 scholars most cited alongside Kun-Ta Chuang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kun-Ta Chuang Line = papers co-authored together Kun-Ta Chuang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200843
2 200741
3 200833
4 201431
5 201728
6 200728
7 200223
8 200823
9 202018
10 201715
11 200414
12 201614
13 201913
14 200613
15 200413
16 201711
17 200711
18 201811
19 200310
20 20219

About Kun-Ta Chuang

Kun-Ta Chuang is a scholar working on Signal Processing, Information Systems, Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 52 papers that have together received 465 indexed citations. Recurring topics across this work include Data Management and Algorithms (20 papers), Data Mining Algorithms and Applications (15 papers), Advanced Clustering Algorithms Research (8 papers), Complex Network Analysis Techniques (6 papers), Opportunistic and Delay-Tolerant Networks (5 papers), Rough Sets and Fuzzy Logic (4 papers), Time Series Analysis and Forecasting (4 papers) and Human Mobility and Location-Based Analysis (4 papers). The work is most often cited by research in Signal Processing (104 citations), Information Systems (140 citations), Artificial Intelligence (181 citations), Marketing (42 citations) and Computational Theory and Mathematics (68 citations). Kun-Ta Chuang has collaborated with scholars based in Taiwan, United States and Germany. Frequent co-authors include Ming-Syan Chen⋆, Jiun‐Long Huang, Shan-Hung Wu, Yu‐Chen Shu, Po‐Lin Chen, Nai‐Ying Ko, Wen‐Chien Ko, Jen-Wei Huang, De-Nian Yang and Chun-Rong Huang. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Knowledge and Information Systems, ACM Transactions on Knowledge Discovery from Data, The VLDB Journal and PLoS neglected tropical diseases.

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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