Chuan-Kang Ting

1.8k citations
75 papers · 1.1k indexed · h-index 18
Topics
Metaheuristic Optimization Algorithms Research (29 papers)Evolutionary Algorithms and Applications (26 papers)Advanced Multi-Objective Optimization Algorithms (21 papers)

In The Last Decade

Chuan-Kang Ting

71 papers receiving 1.1k citations

Peers

Chuan-Kang Ting
Comparison fields: 5 of 96
  • Artificial Intelligence 520
  • Computational Theory and Mathematics 356
  • Computer Networks and Communications 232
  • Industrial and Manufacturing Engineering 200
  • Electrical and Electronic Engineering 180
Replace Jacek Mańdziuk with:
Jacek Mańdziuk Poland
Hamed Shah‐Hosseini Iran
Shixiang Gu United States
Mohammad Gheshlaghi Azar United Kingdom
Youssef Hamadi United Kingdom
C.M.H. Kuijpers Spain
Sheng-Uei Guan China
Alberto Bugarín Spain
Frans A. Oliehoek Netherlands
Miren Nekane Bilbao Spain
Chuan-Kang Ting relative to Jacek Mańdziuk Poland Jacek Mańdziuk's profile →
Citations per field
00.5×2.9×
Jacek Mańdziuk · 1×
Citations per year

Countries citing papers authored by Chuan-Kang Ting

Since Specialization
Citations

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

Fields of papers citing papers by Chuan-Kang Ting

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chuan-Kang Ting. 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 Chuan-Kang Ting. The network helps show where Chuan-Kang Ting may publish in the future.

Co-authorship network of co-authors of Chuan-Kang Ting

This figure shows the co-authorship network connecting the top 25 collaborators of Chuan-Kang Ting. A scholar is included among the top collaborators of Chuan-Kang Ting 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 Chuan-Kang Ting. Chuan-Kang Ting 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 0
2 1
3 1
4 1
5 0
6 4
7 5
8 78
9 82
10 6
11 45
12 9
13 25
14 2
15 2
16 11
17 70
18 5
19 3
20 3

About Chuan-Kang Ting

Chuan-Kang Ting is a scholar working on Industrial and Manufacturing Engineering, Computational Theory and Mathematics and Artificial Intelligence, having authored 75 papers that have together received 1.1k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (29 papers), Evolutionary Algorithms and Applications (26 papers) and Advanced Multi-Objective Optimization Algorithms (21 papers). The work is most often cited by research in Computational Theory and Mathematics (356 citations), Industrial and Manufacturing Engineering (200 citations) and Artificial Intelligence (520 citations). Chuan-Kang Ting has collaborated with scholars based in Taiwan, Germany and United States. Frequent co-authors include Chien‐Hung Liu, Chung‐Nan Lee, Xin-Lan Liao, Chih‐Chung Lai, Jain-Shing Wu, Sheng-Tun Li, Tzung‐Pei Hong, Yu‐Hsuan Huang, Cheng‐Jian Lin and Shih-Chieh Su. Their work appears in journals such as Bioinformatics, PLoS ONE and Expert Systems with Applications.

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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