Chung‐Chun Kung

611 citations
55 papers · 454 indexed · h-index 10
Topics
Adaptive Control of Nonlinear Systems (23 papers)Fuzzy Logic and Control Systems (20 papers)Stability and Control of Uncertain Systems (11 papers)
Partner nations
Taiwan

In The Last Decade

Chung‐Chun Kung

49 papers receiving 435 citations

Peers

Chung‐Chun Kung
Comparison fields: 5 of 38
  • Control and Systems Engineering 305
  • Artificial Intelligence 177
  • Electrical and Electronic Engineering 69
  • Automotive Engineering 53
  • Statistics and Probability 45
Replace Ming-Ying Hsiao with:
Ming-Ying Hsiao Taiwan
Nohé R. Cázarez-Castro Mexico
T.-T. Lee Taiwan
Shengchuan Li China
Po-Hung Shen Taiwan
Wen‐Shyong Yu Taiwan
Petr Hušek Czechia
Chen‐Sheng Ting Taiwan
H.B. GATLAND New Zealand
Mikio Maeda Japan
Chung‐Chun Kung relative to Ming-Ying Hsiao Taiwan Ming-Ying Hsiao's profile →
Citations per field
00.5×1.5×2.0×
Ming-Ying Hsiao · 1×
Citations per year

Countries citing papers authored by Chung‐Chun Kung

Since Specialization
Citations

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

Fields of papers citing papers by Chung‐Chun Kung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chung‐Chun Kung. 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 Chung‐Chun Kung. The network helps show where Chung‐Chun Kung may publish in the future.

Co-authorship network of co-authors of Chung‐Chun Kung

This figure shows the co-authorship network connecting the top 25 collaborators of Chung‐Chun Kung. A scholar is included among the top collaborators of Chung‐Chun Kung 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 Chung‐Chun Kung. Chung‐Chun Kung 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 8
2 3
3 4
4 0
5 1
6 10
7 4
8 85
9 6
10 3
11 2
12 0
13 8
14 2
15 10
16 3
17 1
18 5
19 3
20 0

About Chung‐Chun Kung

Chung‐Chun Kung is a scholar working on Control and Systems Engineering, Statistics and Probability and Artificial Intelligence, having authored 55 papers that have together received 454 indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (23 papers), Fuzzy Logic and Control Systems (20 papers) and Stability and Control of Uncertain Systems (11 papers). The work is most often cited by research in Control and Systems Engineering (305 citations), Artificial Intelligence (177 citations) and Statistics and Probability (45 citations). Chung‐Chun Kung has collaborated with scholars based in Taiwan. Frequent co-authors include Bor‐Sen Chen, Chih-Chi Chen, Liang‐Chih Huang, Wen‐Cheng Chen, Wen‐Ching Ko, Yuren Chen, Jwu‐Sheng Hu and Wei-Yin Chen. Their work appears in journals such as IEEE Access, Fuzzy Sets and Systems and International Journal of Control.

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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