Qifang Luo

3.6k total citations · 1 hit paper
127 papers, 2.7k citations indexed

About

Qifang Luo is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Industrial and Manufacturing Engineering. According to data from OpenAlex, Qifang Luo has authored 127 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Artificial Intelligence, 32 papers in Computational Theory and Mathematics and 31 papers in Industrial and Manufacturing Engineering. Recurrent topics in Qifang Luo's work include Metaheuristic Optimization Algorithms Research (82 papers), Advanced Multi-Objective Optimization Algorithms (32 papers) and Evolutionary Algorithms and Applications (20 papers). Qifang Luo is often cited by papers focused on Metaheuristic Optimization Algorithms Research (82 papers), Advanced Multi-Objective Optimization Algorithms (32 papers) and Evolutionary Algorithms and Applications (20 papers). Qifang Luo collaborates with scholars based in China, Malaysia and Egypt. Qifang Luo's co-authors include Yongquan Zhou, Ying Ling, Guo Zhou, Wu Deng, Sen Zhang, Shihong Yin, Rui Wang, Haizhou Wu, Huan Chen and Zhongmin Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Qifang Luo

118 papers receiving 2.7k citations

Hit Papers

align trajectories sort by overperformance

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.

Lévy Flight Trajectory-Based Whale Optimization Algorithm for Global Optimization

2017 340 citations Yongquan Zhou, Qifang Luo et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Qifang Luo China	28	1.7k	666	427	400	381	127	2.7k
Jagdish Chand Bansal India	28	1.8k 1.0×	683 1.0×	415 1.0×	577 1.4×	337 0.9×	126	3.2k
Mohammad H. Nadimi-Shahraki Iran	30	2.2k 1.3×	955 1.4×	475 1.1×	533 1.3×	249 0.7×	77	3.6k
Benyamın Abdollahzadeh Iran	13	1.7k 1.0×	748 1.1×	365 0.9×	636 1.6×	293 0.8×	16	3.1k
Kashif Hussain China	20	2.1k 1.2×	870 1.3×	479 1.1×	684 1.7×	261 0.7×	34	3.7k
Mustafa Servet Kıran Türkiye	26	1.6k 1.0×	609 0.9×	452 1.1×	450 1.1×	508 1.3×	60	2.6k
Reda Mohamed Egypt	29	1.7k 1.0×	559 0.8×	563 1.3×	697 1.7×	327 0.9×	82	3.4k
Nurhan Karaboğa Türkiye	19	1.5k 0.9×	493 0.7×	431 1.0×	592 1.5×	284 0.7×	56	3.2k
Xiaoyan Sun China	30	1.5k 0.9×	751 1.1×	486 1.1×	442 1.1×	257 0.7×	130	3.1k
Shubham Gupta India	25	1.5k 0.9×	778 1.2×	277 0.6×	312 0.8×	191 0.5×	67	2.5k
Mehrdad Mahdavi United States	19	1.9k 1.2×	888 1.3×	501 1.2×	549 1.4×	276 0.7×	49	3.4k

Countries citing papers authored by Qifang Luo

Since Specialization

Citations

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

Fields of papers citing papers by Qifang Luo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qifang Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Qifang Luo. A scholar is included among the top collaborators of Qifang Luo 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 Qifang Luo. Qifang Luo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Tian, Tao, et al.. (2024). Hybrid Whale Optimization with a Firefly Algorithm for Function Optimization and Mobile Robot Path Planning. Biomimetics. 9(1). 39–39. 10 indexed citations

Wu, Jiang, Qifang Luo, & Yongquan Zhou. (2024). Modified dung beetle optimizer with multi-strategy for uncertain multi-modal transport path problem. Journal of Computational Design and Engineering. 11(4). 40–72. 5 indexed citations

Zhou, Yongquan, et al.. (2024). Binary Hybrid Artificial Hummingbird with Flower Pollination Algorithm for Feature Selection in Parkinson’s Disease Diagnosis. Journal of Bionic Engineering. 21(2). 1003–1021. 3 indexed citations

Zhou, Guo, et al.. (2024). Interval-based multi-objective metaheuristic honey badger algorithm. Soft Computing. 28(19). 11295–11322.

Zhou, Yongquan, et al.. (2024). Optimal stochastic power flow using enhanced multi-objective mayfly algorithm. Heliyon. 10(5). e26427–e26427. 1 indexed citations

Wang, Meiyan, et al.. (2023). Hybrid Manta Ray Foraging Algorithm with Cuckoo Search for Global Optimization and Three-Dimensional Wireless Sensor Network Deployment Problem. Biomimetics. 8(5). 411–411. 3 indexed citations

Zhou, Yongquan, et al.. (2023). Multi-strategy chimp optimization algorithm for global optimization and minimum spanning tree. Soft Computing. 28(3). 2055–2082. 4 indexed citations

Liu, Bo, Yongquan Zhou, Qifang Luo, & Huajuan Huang. (2023). Quantum-inspired African vultures optimization algorithm with elite mutation strategy for production scheduling problems. Journal of Computational Design and Engineering. 10(4). 1767–1789. 12 indexed citations

Zhang, Yunhui, Yongquan Zhou, Guo Zhou, & Qifang Luo. (2023). An effective multi-objective bald eagle search algorithm for solving engineering design problems. Applied Soft Computing. 145. 110585–110585. 12 indexed citations

10.

Li, Ning, Guo Zhou, Yongquan Zhou, Wu Deng, & Qifang Luo. (2023). Multi-objective pathfinder algorithm for multi-objective optimal power flow problem with random renewable energy sources: wind, photovoltaic and tidal. Scientific Reports. 13(1). 10647–10647. 14 indexed citations

11.

Li, Lei, Yongquan Zhou, Huajuan Huang, & Qifang Luo. (2022). Extreme Learning Machine Using Improved Gradient-Based Optimizer for Dam Seepage Prediction. Arabian Journal for Science and Engineering. 48(8). 9693–9712. 8 indexed citations

12.

Zhou, Yongquan, et al.. (2022). Improved chimp optimization algorithm for three-dimensional path planning problem. Multimedia Tools and Applications. 81(19). 27397–27422. 36 indexed citations

13.

Luo, Qifang, et al.. (2022). Color Image Enhancement: A Metaheuristic Chimp Optimization Algorithm. Neural Processing Letters. 54(6). 4769–4808. 16 indexed citations

14.

Yin, Shihong, Qifang Luo, & Yongquan Zhou. (2022). EOSMA: An Equilibrium Optimizer Slime Mould Algorithm for Engineering Design Problems. Arabian Journal for Science and Engineering. 47(8). 10115–10146. 54 indexed citations

15.

Zhou, Yongquan, et al.. (2022). Enhanced discrete dragonfly algorithm for solving four-color map problems. Applied Intelligence. 53(6). 6372–6400. 10 indexed citations

16.

Yin, Shihong, Qifang Luo, & Yongquan Zhou. (2022). IBMSMA: An Indicator-based Multi-swarm Slime Mould Algorithm for Multi-objective Truss Optimization Problems. Journal of Bionic Engineering. 20(3). 1333–1360. 27 indexed citations

17.

Zhou, Yongquan, et al.. (2021). Teaching-learning-based pathfinder algorithm for function and engineering optimization problems. Applied Intelligence. 51(7). 5040–5066. 33 indexed citations

18.

Bi, Jian, Yongquan Zhou, Zhonghua Tang, & Qifang Luo. (2021). Artificial electric field algorithm with inertia and repulsion for spherical minimum spanning tree. Applied Intelligence. 52(1). 195–214. 13 indexed citations

19.

Zhang, Shaoling, Yongquan Zhou, & Qifang Luo. (2017). Elite Opposition-Based Cognitive Behavior Optimization Algorithm for Global Optimization. Journal of Intelligent Systems. 28(2). 185–217. 4 indexed citations

20.

Huang, Kang, et al.. (2015). A Cuckoo Search Algorithm With Elite Opposition-Based Strategy. SHILAP Revista de lepidopterología. 25(4). 567–593. 9 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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