Ding-Hong Peng

469 total citations
19 papers, 385 citations indexed

About

Ding-Hong Peng is a scholar working on Management Science and Operations Research, Control and Systems Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Ding-Hong Peng has authored 19 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Management Science and Operations Research, 8 papers in Control and Systems Engineering and 3 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Ding-Hong Peng's work include Multi-Criteria Decision Making (13 papers), Optimization and Mathematical Programming (8 papers) and Evaluation and Optimization Models (3 papers). Ding-Hong Peng is often cited by papers focused on Multi-Criteria Decision Making (13 papers), Optimization and Mathematical Programming (8 papers) and Evaluation and Optimization Models (3 papers). Ding-Hong Peng collaborates with scholars based in China. Ding-Hong Peng's co-authors include Changyuan Gao, Hua Wang, Bo Peng, Hua Wang, Lili Zhai, Wei Chen, Jinjin Wang, Wenhua Zhang, Xue Luo and Tingting Dong and has published in prestigious journals such as Knowledge-Based Systems, Applied Mathematical Modelling and The Scientific World JOURNAL.

In The Last Decade

Ding-Hong Peng

19 papers receiving 371 citations

Peers

Ding-Hong Peng
Comparison fields: 5 of 68
  • Management Science and Operations Research 297
  • Control and Systems Engineering 125
  • Computational Theory and Mathematics 83
  • Statistics and Probability 78
  • Artificial Intelligence 65
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Deepa Joshi India View profile →
Citations per field, relative to Ding-Hong Peng
Ding-Hong Peng · 1×
Citations per year, relative to Ding-Hong Peng
Ding-Hong Peng · 1×

Countries citing papers authored by Ding-Hong Peng

Since Specialization
Citations

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

Fields of papers citing papers by Ding-Hong Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ding-Hong Peng. 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 Ding-Hong Peng. The network helps show where Ding-Hong Peng may publish in the future.

Co-authorship network of co-authors of Ding-Hong Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Ding-Hong Peng. A scholar is included among the top collaborators of Ding-Hong Peng 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 Ding-Hong Peng. Ding-Hong Peng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
# Work Indexed citations
1 1
2 1
3 5
4
Renewable Energy Selection Method based on Picture Fuzzy Dynamic MABAC
1
5 9
6 1
7 29
8 1
9 16
10 3
11 19
12 20
13 34
14 3
15 12
16 9
17 7
18 139
19 75

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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