Duc-Cuong Dang

1.7k total citations
29 papers, 864 citations indexed

About

Duc-Cuong Dang is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Industrial and Manufacturing Engineering. According to data from OpenAlex, Duc-Cuong Dang has authored 29 papers receiving a total of 864 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 19 papers in Computational Theory and Mathematics and 6 papers in Industrial and Manufacturing Engineering. Recurrent topics in Duc-Cuong Dang's work include Metaheuristic Optimization Algorithms Research (22 papers), Evolutionary Algorithms and Applications (20 papers) and Advanced Multi-Objective Optimization Algorithms (17 papers). Duc-Cuong Dang is often cited by papers focused on Metaheuristic Optimization Algorithms Research (22 papers), Evolutionary Algorithms and Applications (20 papers) and Advanced Multi-Objective Optimization Algorithms (17 papers). Duc-Cuong Dang collaborates with scholars based in United Kingdom, Germany and France. Duc-Cuong Dang's co-authors include Per Kristian Lehre, Aziz Moukrim, Dirk Sudholt, Anton V. Eremeev, Doğan Çörüş, Tobias Friedrich, Andrew M. Sutton, Pietro S. Oliveto, Timo Kötzing and Martin S. Krejca and has published in prestigious journals such as European Journal of Operational Research, Journal of Theoretical Biology and Artificial Intelligence.

In The Last Decade

Duc-Cuong Dang

27 papers receiving 856 citations

Peers

Duc-Cuong Dang
Comparison fields: 5 of 64
  • Artificial Intelligence 489
  • Computational Theory and Mathematics 343
  • Industrial and Manufacturing Engineering 301
  • Automotive Engineering 115
  • Building and Construction 75
Replace Leslie Pérez Cáceres with:
Leslie Pérez Cáceres Chile
Arnaud Liefooghe France
Jérémie Dubois-Lacoste Belgium
B. Bullnheimer Austria
Clarisse Dhaenens France
Una Benlic China
Andreas Beham Austria
L. M. Gambardella Switzerland
Matthew Hyde United Kingdom
Zong-Gan Chen China
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Citations per field, relative to Duc-Cuong Dang
Duc-Cuong Dang · 1×
Citations per year, relative to Duc-Cuong Dang
Duc-Cuong Dang · 1×

Countries citing papers authored by Duc-Cuong Dang

Since Specialization
Citations

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

Fields of papers citing papers by Duc-Cuong Dang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Duc-Cuong Dang

This figure shows the co-authorship network connecting the top 25 collaborators of Duc-Cuong Dang. A scholar is included among the top collaborators of Duc-Cuong 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 Duc-Cuong Dang. Duc-Cuong 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
# Work Indexed citations
1 0
2 11
3 1
4 0
5 7
6 4
7 19
8 8
9 21
10 11
11 20
12 100
13 80
14 43
15 20
16 20
17 25
18 11
19 6
20 71

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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