Xinfang Ji

552 citations
11 papers · 386 indexed · 1 hit paper · h-index 6
Topics
Advanced Multi-Objective Optimization Algorithms (11 papers)Metaheuristic Optimization Algorithms Research (10 papers)Evolutionary Algorithms and Applications (7 papers)
Partner nations
ChinaFinland

In The Last Decade

Xinfang Ji

10 papers receiving 375 citations

Hit Papers

A review of surrogate-assisted evolutionary algorithms fo...20232026202420252023255075100

Peers

Xinfang Ji
Comparison fields: 5 of 65
  • Computational Theory and Mathematics 222
  • Artificial Intelligence 214
  • Control and Systems Engineering 47
  • Mechanical Engineering 33
  • Computer Vision and Pattern Recognition 30
Replace Linjun He with:
Linjun He China
Yuanchao Liu China
Xue Feng China
Wu Song China
Farid MiarNaeimi Iran
João A. Duro United Kingdom
Alan Diaz-Manríquez Mexico
Yugen You China
Xinfang Ji relative to Linjun He China Linjun He's profile →
Citations per field
00.5×9.5×
Linjun He · 1×
Citations per year

Countries citing papers authored by Xinfang Ji

Since Specialization
Citations

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

Fields of papers citing papers by Xinfang Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinfang Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Xinfang Ji. A scholar is included among the top collaborators of Xinfang Ji 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 Xinfang Ji. Xinfang Ji 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
#WorkIndexed citations
1 1
2
A review of surrogate-assisted evolutionary algorithms for expensive optimization problemsbreakdown →
108
3 16
4 20
5 93
6 2
7 4
8 37
9 102
10 2
11 1

About Xinfang Ji

Xinfang Ji is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Industrial and Manufacturing Engineering, having authored 11 papers that have together received 386 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (11 papers), Metaheuristic Optimization Algorithms Research (10 papers) and Evolutionary Algorithms and Applications (7 papers). The work is most often cited by research in Computational Theory and Mathematics (222 citations), Artificial Intelligence (214 citations) and Statistics, Probability and Uncertainty (26 citations). Xinfang Ji has collaborated with scholars based in China and Finland. Frequent co-authors include Dunwei Gong, Zhang Yon, Jing Sun, Dunwei Gong, Xiaoyan Sun, Xiao‐Zhi Gao, Yinan Guo, Yiping Liu, Xiaoping Ma and Xutao Zhang. Their work appears in journals such as Expert Systems with Applications, Information Sciences and IEEE Transactions on Evolutionary Computation.

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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