Qing Wu

741 citations
31 papers · 592 indexed · h-index 11
Topics
Metaheuristic Optimization Algorithms Research (10 papers)Evolutionary Algorithms and Applications (5 papers)Maritime Navigation and Safety (4 papers)
Journals
SHILAP Revista de lepidopterologíaApplied EnergyExpert Systems with Applications

In The Last Decade

Qing Wu

28 papers receiving 573 citations

Peers

Qing Wu
Comparison fields: 5 of 67
  • Artificial Intelligence 221
  • Computer Networks and Communications 199
  • Control and Systems Engineering 187
  • Electrical and Electronic Engineering 187
  • Computational Theory and Mathematics 132
Replace Fengzhong Li with:
Fengzhong Li China
Nitish Chopra India
Hisham A. Shehadeh Jordan
Mohsen Montazeri Iran
Mohammed R. Saad Egypt
Yongjun Sun China
Qihe Shan China
Mohammad Amin Akbari Iran
Liang Han China
Yue Long China
Qing Wu relative to Fengzhong Li China Fengzhong Li's profile →
Citations per field
00.5×3.4×
Fengzhong Li · 1×
Citations per year

Countries citing papers authored by Qing Wu

Since Specialization
Citations

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

Fields of papers citing papers by Qing Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Qing Wu. A scholar is included among the top collaborators of Qing 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 Qing Wu. Qing Wu 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
#WorkIndexed citations
1 0
2 29
3 11
4 3
5 1
6 5
7 2
8 22
9 34
10 7
11 4
12 2
13 2
14 12
15 1
16 2
17 0
18 3
19 8
20 31

About Qing Wu

Qing Wu is a scholar working on Tourism, Leisure and Hospitality Management, Energy Engineering and Power Technology and Artificial Intelligence, having authored 31 papers that have together received 592 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (10 papers), Evolutionary Algorithms and Applications (5 papers) and Maritime Navigation and Safety (4 papers). The work is most often cited by research in Computer Networks and Communications (199 citations), Computational Theory and Mathematics (132 citations) and Control and Systems Engineering (187 citations). Qing Wu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Lin Jiang, Yong He, Min Wu, Chuan‐Ke Zhang, Yuxin Jiang, Liang Gao, Chunjiang Zhang, X. Zhou, Xinyu Li and Xing Wei. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Energy and Expert Systems with Applications.

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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