Chuangyin Dang

196 papers receiving 6.8k citations

Hit Papers

MGRS: A multi-granulation rough set2009202620142020200920102011100200300400500

Peers

Chuangyin Dang
Comparison fields: 5 of 150
  • Computational Theory and Mathematics 4.0k
  • Artificial Intelligence 2.9k
  • Information Systems 2.2k
  • Management Science and Operations Research 1.3k
  • Control and Systems Engineering 954
Replace Zhi‐Hui Zhan with:
Zhi‐Hui Zhan China
Farhad Soleimanian Gharehchopogh Iran
Maurício G. C. Resende United States
Marjan Mernik Slovenia
Christian Blum Spain
Abraham Kandel United States
Nimrod Megiddo United States
Manuel Lozano Spain
Joaquín Derrac Spain
Patrick Siarry France
Chuangyin Dang relative to Zhi‐Hui Zhan China Zhi‐Hui Zhan's profile →
Citations per field
00.5×1.5×2.3×
Zhi‐Hui Zhan · 1×
Citations per year

Countries citing papers authored by Chuangyin Dang

Since Specialization
Citations

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

Fields of papers citing papers by Chuangyin Dang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chuangyin Dang. 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 Chuangyin Dang. The network helps show where Chuangyin Dang may publish in the future.

Co-authorship network of co-authors of Chuangyin Dang

This figure shows the co-authorship network connecting the top 25 collaborators of Chuangyin Dang. A scholar is included among the top collaborators of Chuangyin Dang 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 Chuangyin Dang. Chuangyin Dang 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 1
2 1
3 13
4 0
5 6
6 1
7 50
8 1
9
A PARAMETER FREE FILLED FUNCTION METHOD FOR GLOBAL OPTIMIZATION
2
10 2
11 64
12 4
13 2
14 21
15 30
16 143
17 1
18 90
19 26
20 3

About Chuangyin Dang

Chuangyin Dang is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Computational Mathematics, having authored 211 papers that have together received 7.1k indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (41 papers), Advanced Optimization Algorithms Research (33 papers) and Data Mining Algorithms and Applications (28 papers). The work is most often cited by research in Computational Theory and Mathematics (4.0k citations), Management Science and Operations Research (1.3k citations) and Information Systems (2.2k citations). Chuangyin Dang has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Jiye Liang, Yuhua Qian, Witold Pedrycz, Yiyu Yao, Xingwen Liu, Liang Bai, Fuyuan Cao, Hongbin Zhang, Yuping Wang and Kwai‐Sang Chin. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Automatic Control and Applied Energy.

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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