Xinfang Ji

552 total citations · 1 hit paper
11 papers, 386 citations indexed

About

Xinfang Ji is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Industrial and Manufacturing Engineering. According to data from OpenAlex, Xinfang Ji has authored 11 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computational Theory and Mathematics, 10 papers in Artificial Intelligence and 2 papers in Industrial and Manufacturing Engineering. Recurrent topics in Xinfang Ji's work include Advanced Multi-Objective Optimization Algorithms (11 papers), Metaheuristic Optimization Algorithms Research (10 papers) and Evolutionary Algorithms and Applications (7 papers). Xinfang Ji is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (11 papers), Metaheuristic Optimization Algorithms Research (10 papers) and Evolutionary Algorithms and Applications (7 papers). Xinfang Ji collaborates with scholars based in China and Finland. Xinfang Ji's co-authors include Dunwei Gong, Zhang Yon, Jing Sun, Dunwei Gong, Xiaoyan Sun, Xiao‐Zhi Gao, Yinan Guo, Xiaoping Ma, Yiping Liu and Jie Yao and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and IEEE Transactions on Evolutionary Computation.

In The Last Decade

Xinfang Ji

10 papers receiving 375 citations

Hit Papers

align trajectories

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.

A review of surrogate-assisted evolutionary algorithms for expensive optimization problems

2023 108 citations Zhang Yon, Dunwei Gong et al. Expert Systems with Applications profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Xinfang Ji China	6	222	214	47	33	30	11	386
Yuanchao Liu China	14	295 1.3×	365 1.7×	46 1.0×	27 0.8×	20 0.7×	42	528
Linjun He China	10	260 1.2×	236 1.1×	40 0.9×	34 1.0×	18 0.6×	27	469
Xue Feng China	11	240 1.1×	264 1.2×	63 1.3×	41 1.2×	20 0.7×	29	469
Yugen You China	7	307 1.4×	288 1.3×	59 1.3×	25 0.8×	18 0.6×	10	396
Wu Song China	11	351 1.6×	372 1.7×	76 1.6×	25 0.8×	25 0.8×	19	554
Zhenshou Song China	11	264 1.2×	326 1.5×	34 0.7×	24 0.7×	20 0.7×	12	437
Alan Diaz-Manríquez Mexico	8	231 1.0×	200 0.9×	17 0.4×	29 0.9×	11 0.4×	19	332
Ling-po Li China	6	157 0.7×	254 1.2×	63 1.3×	16 0.5×	18 0.6×	6	485

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

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11 of 11 papers shown

1.

Ji, Xinfang, et al.. (2025). Surrogate-assisted two-stage cooperative differential evolution for expensive constrained multimodal optimization problems. Swarm and Evolutionary Computation. 97. 102014–102014. 1 indexed citations

2.

Yon, Zhang, et al.. (2023). A review of surrogate-assisted evolutionary algorithms for expensive optimization problems. Expert Systems with Applications. 217. 119495–119495. 108 indexed citations breakdown →

3.

Ji, Xinfang, et al.. (2023). Surrogate and Autoencoder-Assisted Multitask Particle Swarm Optimization for High-Dimensional Expensive Multimodal Problems. IEEE Transactions on Evolutionary Computation. 28(4). 1009–1023. 16 indexed citations

4.

Yon, Zhang, Xinfang Ji, Xiao‐Zhi Gao, Dunwei Gong, & Xiaoyan Sun. (2022). Objective-Constraint Mutual-Guided Surrogate-Based Particle Swarm Optimization for Expensive Constrained Multimodal Problems. IEEE Transactions on Evolutionary Computation. 27(4). 908–922. 20 indexed citations

5.

Ji, Xinfang, Zhang Yon, Dunwei Gong, & Xiaoyan Sun. (2021). Dual-Surrogate-Assisted Cooperative Particle Swarm Optimization for Expensive Multimodal Problems. IEEE Transactions on Evolutionary Computation. 25(4). 794–808. 93 indexed citations

6.

Zhang, Xutao, Biao Xu, Wei Zhang, Jun Zhang, & Xinfang Ji. (2020). Dynamic Neighborhood-Based Particle Swarm Optimization for Multimodal Problems. Mathematical Problems in Engineering. 2020. 1–13. 2 indexed citations

7.

Gong, Dunwei, Yiping Liu, Xinfang Ji, & Jing Sun. (2015). Evolutionary algorithms with user’s preferences for solving hybrid interval multi-objective optimization problems. Applied Intelligence. 43(3). 676–694. 4 indexed citations

8.

Gong, Dunwei, Xinfang Ji, Jing Sun, & Xiaoyan Sun. (2014). Interactive evolutionary algorithms with decision-maker׳s preferences for solving interval multi-objective optimization problems. Neurocomputing. 137. 241–251. 37 indexed citations

9.

Gong, Dunwei, Jing Sun, & Xinfang Ji. (2013). Evolutionary algorithms with preference polyhedron for interval multi-objective optimization problems. Information Sciences. 233. 141–161. 102 indexed citations

10.

Ji, Xinfang, Dunwei Gong, & Xiaoping Ma. (2011). Solving optimization problems with intervals and hybrid indices using evolutionary algorithms. 2542–2549. 2 indexed citations

11.

Gong, Dunwei, et al.. (2010). Adaptive evolutionary optimization algorithm for problems with hybrid indices. 15. 328–333. 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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