Daqing Wu

461 citations
11 papers · 400 · 1 hit paper · h-index 6

Impact in

Papers in

Daqing Wu

9 papers receiving 393 citations

Daqing Wu's Hit Papers

A novel collaborative optimization algorithm in solving complex optimization problems 2016 · 340 citations
3400+3+6Years since publication100200300

Peers

Daqing Wu
Comparison fields: 5 of 91
  • Industrial and Manufacturing Engineering 56
  • Control and Systems Engineering 103
  • Artificial Intelligence 123
  • Computational Theory and Mathematics 54
  • Statistics, Probability and Uncertainty 17
Replace Rami Abielmona with:
Rami Abielmona Canada
Amirmudin Udin Malaysia
Alican Doğan Türkiye
Feng Xue China
Michael A. Yukish United States
Ricardo Tanscheit Brazil
Carlos C. Insaurralde United Kingdom
Saptarshi Sengupta United States
Tianhua Xu China
Juxia Xiong China
Daqing Wu relative to Rami Abielmona Canada Rami Abielmona's profile →
Citations per field
00.5×3.6×
Rami Abielmona · 1×
Citations per year

Countries citing papers authored by Daqing Wu

Since Specialization
Citations

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

Fields of papers citing papers by Daqing Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daqing Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daqing Wu Line = papers co-authored together Daqing Wu links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
A novel collaborative optimization algorithm in solving complex optimization problems
Hit paper breakdown →
2016340
2 201717
3 201816
4 20128
5 20196
6 20196
7 20174
8 20152
9 20121
10 20240
11 20160

About Daqing Wu

Daqing Wu is a scholar working on Artificial Intelligence, Social Psychology, Strategy and Management, Control and Systems Engineering and Biomedical Engineering, having authored 11 papers that have together received 400 indexed citations. Recurring topics across this work include Human-Automation Interaction and Safety (3 papers), Metaheuristic Optimization Algorithms Research (3 papers), Vehicle Routing Optimization Methods (2 papers), Ergonomics and Human Factors (2 papers), Sustainable Supply Chain Management (2 papers), Optimization and Search Problems (1 paper), Evolutionary Algorithms and Applications (1 paper) and Power Systems and Renewable Energy (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (56 citations), Control and Systems Engineering (103 citations), Artificial Intelligence (123 citations), Computational Theory and Mathematics (54 citations) and Statistics, Probability and Uncertainty (17 citations). Daqing Wu has collaborated with scholars based in China and France. Frequent co-authors include Wu Deng, Li Zou, Guangyu Li, Xinhua Yang, Huimin Zhao, Jianguo Zheng, Jiazhen Huo, Yiqun Wang, Peiyao Li and Min Li. Their work appears in journals such as Sustainability, Annals of Nuclear Energy, Soft Computing, Safety Science and Environmental Research.

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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