Qunfeng Liu

633 citations
33 papers · 438 indexed · h-index 12
Topics
Metaheuristic Optimization Algorithms Research (13 papers)Advanced Optimization Algorithms Research (11 papers)Advanced Multi-Objective Optimization Algorithms (9 papers)

In The Last Decade

Qunfeng Liu

33 papers receiving 425 citations

Peers

Qunfeng Liu
Comparison fields: 5 of 71
  • Artificial Intelligence 230
  • Computational Theory and Mathematics 184
  • Numerical Analysis 98
  • Biomedical Engineering 50
  • Control and Systems Engineering 47
Replace Eitaro Aiyoshi with:
Eitaro Aiyoshi Japan
Longquan Yong China
Vladimir Stanovov Russia
Wu Song China
Gajanan Waghmare India
Jixiang Cheng China
Hadi Givi Iran
Mohammad-H. Tayarani-N. United Kingdom
Victor Oduguwa United Kingdom
D. Yazdani Canada
Qunfeng Liu relative to Eitaro Aiyoshi Japan Eitaro Aiyoshi's profile →
Citations per field
00.5×10.3×
Eitaro Aiyoshi · 1×
Citations per year

Countries citing papers authored by Qunfeng Liu

Since Specialization
Citations

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

Fields of papers citing papers by Qunfeng Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qunfeng Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Qunfeng Liu. A scholar is included among the top collaborators of Qunfeng Liu 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 Qunfeng Liu. Qunfeng Liu 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 2
2 2
3 4
4 5
5 6
6 4
7 1
8 1
9 9
10 12
11 1
12 5
13 8
14 1
15 21
16 71
17 2
18 3
19 22
20
Three Questions and Deeper Considerations in Hypothesis Test
1

About Qunfeng Liu

Qunfeng Liu is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Modeling and Simulation, having authored 33 papers that have together received 438 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (13 papers), Advanced Optimization Algorithms Research (11 papers) and Advanced Multi-Objective Optimization Algorithms (9 papers). The work is most often cited by research in Numerical Analysis (98 citations), Computational Theory and Mathematics (184 citations) and Artificial Intelligence (230 citations). Qunfeng Liu has collaborated with scholars based in China, United Kingdom and New Zealand. Frequent co-authors include Yun Li, Wanyou Cheng, Jinping Zeng, Huaqiang Yuan, Wenhong Wei, Zhi‐Hui Zhan, Jinyan Liu, Li Ren, Guoyuan Li and Gang Yang. Their work appears in journals such as IEEE Access, Information Sciences and IEEE Transactions on Cybernetics.

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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