Daqing Wu

461 total citations · 1 hit paper
11 papers, 400 citations indexed

About

Daqing Wu is a scholar working on Artificial Intelligence, Social Psychology and Strategy and Management. According to data from OpenAlex, Daqing Wu has authored 11 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Social Psychology and 2 papers in Strategy and Management. Recurrent topics in Daqing Wu's work include Metaheuristic Optimization Algorithms Research (3 papers), Human-Automation Interaction and Safety (3 papers) and Vehicle Routing Optimization Methods (2 papers). Daqing Wu is often cited by papers focused on Metaheuristic Optimization Algorithms Research (3 papers), Human-Automation Interaction and Safety (3 papers) and Vehicle Routing Optimization Methods (2 papers). Daqing Wu collaborates with scholars based in China and France. Daqing Wu's co-authors include Xinhua Yang, Wu Deng, Li Zou, Huimin Zhao, Guangyu Li, Jianguo Zheng, Jiazhen Huo, Peiyao Li, Min Li and Yiqun Wang and has published in prestigious journals such as Sustainability, Environmental Research and Safety Science.

In The Last Decade

Daqing Wu

9 papers receiving 393 citations

Hit Papers

A novel collaborative optimization algorithm in solving c... 2016 2026 2019 2022 2016 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A novel collaborative optimization algorithm in solving complex optimization problems
    2016 340 citations Wu Deng, Huimin Zhao et al. Soft Computing profile →

Peers

Daqing Wu
Juxia Xiong China
Esra’a Alkafaween Jordan
Jörg Gebhardt Germany
Jinghuan Guo China
Rongxi Wang China
Wilfried Jakob Germany
Carlos C. Insaurralde United Kingdom
Daqing Wu China
Sanchita Basak United States
Ziang Liu Japan
Juxia Xiong China
Daqing Wu
Citations per year, relative to Daqing Wu Daqing Wu (= 1×) peers Juxia Xiong

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-authorship network of co-authors of Daqing Wu

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

All Works

11 of 11 papers shown
1.
Tian, Shuting, Shuangshuang Li, Jingcheng Wu, et al.. (2024). Self-cleaning micro/nano graded porous groove structure fiber membranes by coaxial spinning for purification of dye wastewater. Environmental Research. 267. 120660–120660.
2.
Wu, Daqing, et al.. (2019). Distribution-Free Stochastic Closed-Loop Supply Chain Design Problem with Financial Management. Sustainability. 11(5). 1236–1236. 6 indexed citations
3.
Wu, Daqing, Yanli Liu, Kai‐Ge Zhou, Kang Li, & Jiao Li. (2019). A MULTI-OBJECTIVE PARTICLE SWARM OPTIMIZATION ALGORITHM BASED ON HUMAN SOCIAL BEHAVIOR FOR ENVIRONMENTAL ECONOMICS DISPATCH PROBLEMS. Environmental Engineering and Management Journal. 18(7). 1599–1607. 6 indexed citations
4.
Wu, Daqing, et al.. (2018). Minimization of Logistics Cost and Carbon Emissions Based on Quantum Particle Swarm Optimization. Sustainability. 10(10). 3791–3791. 16 indexed citations
5.
Zhang, Li, et al.. (2017). Optimal design methods for a digital human-computer interface based on human reliability in a nuclear power plant. Annals of Nuclear Energy. 106. 247–255. 4 indexed citations
6.
Wang, Yiqun, Li Zhang, Daqing Wu, et al.. (2017). A cognitive reliability model research for complex digital human-computer interface of industrial system. Safety Science. 108. 196–202. 17 indexed citations
7.
Deng, Wu, Huimin Zhao, Li Zou, et al.. (2016). A novel collaborative optimization algorithm in solving complex optimization problems. Soft Computing. 21(15). 4387–4398. 340 indexed citations breakdown →
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10.
Wu, Daqing & Jianguo Zheng. (2012). A Dynamic Multistage Hybrid Swarm Intelligence Optimization Algorithm for Function Optimization. Discrete Dynamics in Nature and Society. 2012(1). 8 indexed citations
11.
Wu, Daqing & Jianguo Zheng. (2012). Multi-strategies Adaptive-learning Based on Particle Swarm Optimization and Application. Journal of Convergence Information Technology. 7(14). 375–385. 1 indexed citations

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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