Qunfeng Liu

633 total citations
33 papers, 438 citations indexed

About

Qunfeng Liu is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Numerical Analysis. According to data from OpenAlex, Qunfeng Liu has authored 33 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computational Theory and Mathematics, 13 papers in Artificial Intelligence and 11 papers in Numerical Analysis. Recurrent topics in Qunfeng Liu's work include Metaheuristic Optimization Algorithms Research (13 papers), Advanced Optimization Algorithms Research (11 papers) and Advanced Multi-Objective Optimization Algorithms (9 papers). Qunfeng Liu is often cited by papers focused on Metaheuristic Optimization Algorithms Research (13 papers), Advanced Optimization Algorithms Research (11 papers) and Advanced Multi-Objective Optimization Algorithms (9 papers). Qunfeng Liu collaborates with scholars based in China, New Zealand and United Kingdom. Qunfeng Liu's co-authors include Yun Li, Wanyou Cheng, Jinping Zeng, Zhi‐Hui Zhan, Huaqiang Yuan, Wenhong Wei, Heng Gu, Li Ren, Gang Yang and Jinyan Liu and has published in prestigious journals such as IEEE Access, Information Sciences and IEEE Transactions on Cybernetics.

In The Last Decade

Qunfeng Liu

33 papers receiving 425 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Qunfeng Liu China	12	230	184	98	50	47	33	438
Eitaro Aiyoshi Japan	10	155 0.7×	135 0.7×	48 0.5×	28 0.6×	148 3.1×	59	424
Vladimir Stanovov Russia	13	364 1.6×	229 1.2×	16 0.2×	43 0.9×	56 1.2×	66	605
Longquan Yong China	11	151 0.7×	100 0.5×	68 0.7×	27 0.5×	26 0.6×	51	330
Wu Song China	11	372 1.6×	351 1.9×	19 0.2×	7 0.1×	76 1.6×	19	554
Gajanan Waghmare India	8	182 0.8×	125 0.7×	9 0.1×	35 0.7×	81 1.7×	9	454
Jixiang Cheng China	12	346 1.5×	285 1.5×	7 0.1×	14 0.3×	49 1.0×	37	677
Emerson Hochsteiner de Vasconcelos Segundo Brazil	9	215 0.9×	170 0.9×	4 0.0×	33 0.7×	59 1.3×	14	485
Qiongjie Tian United States	4	184 0.8×	90 0.5×	6 0.1×	22 0.4×	59 1.3×	13	302
A. J. Umbarkar India	8	162 0.7×	63 0.3×	7 0.1×	9 0.2×	38 0.8×	23	360

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

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20 of 20 papers shown

Liu, Qunfeng, et al.. (2024). On the representativeness metric of benchmark problems in numerical optimization. Swarm and Evolutionary Computation. 91. 101716–101716. 2 indexed citations

Liu, Qunfeng, et al.. (2024). Mean-based Borda count for paradox-free comparisons of optimization algorithms. Information Sciences. 660. 120120–120120. 2 indexed citations

Li, Xinxin, Shuai Hua, Qunfeng Liu, & Yun Li. (2023). A partition-based convergence framework for population-based optimization algorithms. Information Sciences. 627. 169–188. 4 indexed citations

Chen, Caifeng, et al.. (2022). An adaptive differential evolution with extended historical memory and iterative local search. Applied Soft Computing. 125. 109203–109203. 5 indexed citations

Liu, Qunfeng, et al.. (2022). Paradox-Free Analysis for Comparing the Performance of Optimization Algorithms. IEEE Transactions on Evolutionary Computation. 27(5). 1275–1287. 6 indexed citations

Zhang, Nannan, et al.. (2022). Prediction of Air Leakage Rate of Sintering Furnace Based on BP Neural Network Optimized by PSO. Wireless Communications and Mobile Computing. 2022(1). 4 indexed citations

Zhou, Qin, et al.. (2021). Bilevel-search particle swarm optimization for computationally expensive optimization problems. Soft Computing. 25(22). 14357–14374. 1 indexed citations

Liu, Qunfeng, et al.. (2021). Evolutionary Algorithms for Applications of Biological Networks: A Review. Lecture notes in computer science. 102–114. 3 indexed citations

Liu, Qunfeng, William V. Gehrlein, Ling Wang, et al.. (2019). Paradoxes in Numerical Comparison of Optimization Algorithms. IEEE Transactions on Evolutionary Computation. 24(4). 777–791. 12 indexed citations

10.

Li, Lin, et al.. (2019). Benchmarks for Evaluating Optimization Algorithms and Benchmarking MATLAB Derivative-Free Optimizers for Practitioners’ Rapid Access. IEEE Access. 7. 79657–79670. 9 indexed citations

11.

Liu, Qunfeng, et al.. (2019). Recognition of Branch Series Resonance Based on Port Equivalent Method. CPSS Transactions on Power Electronics and Applications. 4(3). 197–203. 1 indexed citations

12.

Long, Jun, et al.. (2019). A Recommendation Model Based on Multi-Emotion Similarity in the Social Networks. Information. 10(1). 18–18. 5 indexed citations

13.

Chen, Wei, Yingying Cao, Shi Cheng, et al.. (2018). Simplex Search-Based Brain Storm Optimization. IEEE Access. 6. 75997–76006. 8 indexed citations

14.

Long, Jun, et al.. (2018). A Filter of Minhash for Image Similarity Measures. Journal of Advanced Computational Intelligence and Intelligent Informatics. 22(5). 689–698. 1 indexed citations

15.

Liu, Qunfeng, Wei–Neng Chen, Jeremiah D. Deng, et al.. (2017). Benchmarking Stochastic Algorithms for Global Optimization Problems by Visualizing Confidence Intervals. IEEE Transactions on Cybernetics. 47(9). 2924–2937. 21 indexed citations

16.

Liu, Qunfeng, Wenhong Wei, Huaqiang Yuan, Zhi‐Hui Zhan, & Yun Li. (2016). Topology selection for particle swarm optimization. Information Sciences. 363. 154–173. 71 indexed citations

17.

Cheng, Wanyou, Qunfeng Liu, & Donghui Li. (2013). An accurate active set conjugate gradient algorithm with project search for bound constrained optimization. Optimization Letters. 8(2). 763–776. 2 indexed citations

18.

Liu, Qunfeng & Jinping Zeng. (2010). Convergence analysis of multigrid methods with residual scaling techniques. Journal of Computational and Applied Mathematics. 234(10). 2932–2942. 3 indexed citations

19.

Cheng, Wanyou & Qunfeng Liu. (2009). Sufficient descent nonlinear conjugate gradient methods with conjugacy condition. Numerical Algorithms. 53(1). 113–131. 22 indexed citations

20.

Liu, Qunfeng. (2008). Three Questions and Deeper Considerations in Hypothesis Test. 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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