Daqing Wu

464 citations
11 papers · 401 · 1 hit paper · h-index 6

Impact in

Papers in

Daqing Wu

9 papers receiving 394 citations

Daqing Wu's Hit Papers

A novel collaborative optimization algorithm in solving complex optimization problems 2016 · 341 citations
3410+3+6Years since publication100200300

Peers

Daqing Wu
Comparison fields: 5 of 91
  • Industrial and Manufacturing Engineering 57
  • Control and Systems Engineering 104
  • Artificial Intelligence 122
  • Computational Theory and Mathematics 54
  • Statistics, Probability and Uncertainty 18
Replace Rami Abielmona with:
Rami Abielmona Canada
Amirmudin Udin Malaysia
An‐Da Li China
Feng Xue China
Ricardo Tanscheit Brazil
Tianhua Xu China
Jitamitra Desai Singapore
Matthias Steinbrecher Germany
Yabing Zha China
Esra’a Alkafaween Jordan
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 →
2016341
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 401 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (3 papers), Human-Automation Interaction and Safety (3 papers), Sustainable Supply Chain Management (2 papers), Vehicle Routing Optimization Methods (2 papers), Ergonomics and Human Factors (2 papers), Nanomaterials and Printing Technologies (1 paper), Supply Chain and Inventory Management (1 paper) and Electrospun Nanofibers in Biomedical Applications (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (57 citations), Control and Systems Engineering (104 citations), Artificial Intelligence (122 citations), Computational Theory and Mathematics (54 citations) and Statistics, Probability and Uncertainty (18 citations). Daqing Wu has collaborated with scholars based in China and France. Frequent co-authors include Li Zou, Guangyu Li, Huimin Zhao, Xinhua Yang, Wu Deng, Jianguo Zheng, Jiazhen Huo, Peiyao Li, Min Li and Yiqun Wang. Their work appears in journals such as Sustainability, Annals of Nuclear Energy, Safety Science, Environmental Research and Soft Computing.

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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