Jianfeng Qiu

1.1k citations
40 papers · 742 indexed · 1 hit paper · h-index 13
Topics
Metaheuristic Optimization Algorithms Research (16 papers)Advanced Multi-Objective Optimization Algorithms (10 papers)Machine Learning and Data Classification (6 papers)
Partner nations
ChinaUnited KingdomMacao

In The Last Decade

Jianfeng Qiu

39 papers receiving 727 citations

Hit Papers

A competitive mechanism based multi-objective particle sw...20172026202020232017100200300

Peers

Jianfeng Qiu
Comparison fields: 5 of 93
  • Artificial Intelligence 402
  • Computational Theory and Mathematics 287
  • Industrial and Manufacturing Engineering 114
  • Control and Systems Engineering 63
  • Civil and Structural Engineering 57
Replace S. K. Smit with:
S. K. Smit Netherlands
Prakash Shelokar India
Abdel-Rahman Hedar Egypt
Yuhai Zhao China
Praveen Kumar Tripathi India
Maoqing Zhang China
Thomas Bousonville Germany
Salim Chıkhı Algeria
Boglárka G.-Tóth Hungary
Jianfeng Qiu relative to S. K. Smit Netherlands S. K. Smit's profile →
Citations per field
00.5×6.0×
S. K. Smit · 1×
Citations per year

Countries citing papers authored by Jianfeng Qiu

Since Specialization
Citations

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

Fields of papers citing papers by Jianfeng Qiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianfeng Qiu

This figure shows the co-authorship network connecting the top 25 collaborators of Jianfeng Qiu. A scholar is included among the top collaborators of Jianfeng Qiu 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 Jianfeng Qiu. Jianfeng Qiu 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 1
2 0
3 3
4 1
5 1
6 5
7 6
8 23
9 2
10 8
11 34
12 1
13 4
14 58
15 2
16 1
17 27
18 8
19
Pbest-Guided Artificial Bee Colony Algorithm for Global numerical Function Optimization
1
20 1

About Jianfeng Qiu

Jianfeng Qiu is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Industrial and Manufacturing Engineering, having authored 40 papers that have together received 742 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (16 papers), Advanced Multi-Objective Optimization Algorithms (10 papers) and Machine Learning and Data Classification (6 papers). The work is most often cited by research in Computational Theory and Mathematics (287 citations), Artificial Intelligence (402 citations) and Industrial and Manufacturing Engineering (114 citations). Jianfeng Qiu has collaborated with scholars based in China, United Kingdom and Macao. Frequent co-authors include Xingyi Zhang, Yaochu Jin, Ran Cheng, Lei Zhang, Fan Cheng, Xiaoshu Xiang, Jianhua Xiao, Chao Wang, Yansen Su and Ran Xu. Their work appears in journals such as Scientific Reports, IEEE Transactions on Geoscience and Remote Sensing and IEEE Access.

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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