Pei Hu

1.4k total citations · 1 hit paper
47 papers, 984 citations indexed

About

Pei Hu is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Pei Hu has authored 47 papers receiving a total of 984 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 11 papers in Computational Theory and Mathematics and 7 papers in Computer Networks and Communications. Recurrent topics in Pei Hu's work include Metaheuristic Optimization Algorithms Research (21 papers), Advanced Multi-Objective Optimization Algorithms (9 papers) and Emotion and Mood Recognition (6 papers). Pei Hu is often cited by papers focused on Metaheuristic Optimization Algorithms Research (21 papers), Advanced Multi-Objective Optimization Algorithms (9 papers) and Emotion and Mood Recognition (6 papers). Pei Hu collaborates with scholars based in China, Taiwan and Australia. Pei Hu's co-authors include Jeng‐Shyang Pan, Shu‐Chuan Chu, Yong Yuan, Shungui Zhou, Li Zhuang, Chaoli Sun, Václav Snåšel, Qing-Wei Chai, Qing Chen and Hanjiang Luo and has published in prestigious journals such as Journal of Hazardous Materials, Scientific Reports and IEEE Access.

In The Last Decade

Pei Hu

46 papers receiving 961 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.

Improved Binary Grey Wolf Optimizer and Its application for feature selection

2020 285 citations Pei Hu, Jeng‐Shyang Pan et al. Knowledge-Based Systems profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pei Hu China	13	501	249	148	139	137	47	984
Ebubekir Kaya Türkiye	12	360 0.7×	185 0.7×	57 0.4×	77 0.6×	69 0.5×	22	944
Diana Manjarrés Spain	12	229 0.5×	142 0.6×	120 0.8×	76 0.5×	104 0.8×	26	644
Yilin Chen China	17	223 0.4×	141 0.6×	100 0.7×	249 1.8×	100 0.7×	38	953
Laila Abdel‐Fatah Egypt	8	209 0.4×	136 0.5×	77 0.5×	50 0.4×	76 0.6×	11	578
Özgür Yeniay Türkiye	12	200 0.4×	100 0.4×	163 1.1×	55 0.4×	50 0.4×	28	895
Lingping Kong Czechia	11	307 0.6×	166 0.7×	128 0.9×	99 0.7×	167 1.2×	38	645
Mehdi Ramezani Iran	14	226 0.5×	247 1.0×	51 0.3×	95 0.7×	46 0.3×	42	821
Om Prakash Verma India	17	209 0.4×	118 0.5×	51 0.3×	166 1.2×	64 0.5×	73	931
Mehrdad Kaveh Iran	11	235 0.5×	84 0.3×	60 0.4×	52 0.4×	57 0.4×	16	551

Countries citing papers authored by Pei Hu

Since Specialization

Citations

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

Fields of papers citing papers by Pei Hu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pei Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Pei Hu. A scholar is included among the top collaborators of Pei Hu 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 Pei Hu. Pei Hu 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

Hu, Pei, et al.. (2025). A filter-wrapper model for high-dimensional feature selection based on evolutionary computation. Applied Intelligence. 55(7). 4 indexed citations

Yue, Liya, et al.. (2024). Advanced differential evolution for gender-aware English speech emotion recognition. Scientific Reports. 14(1). 17696–17696. 2 indexed citations

Liu, Nengxian, et al.. (2024). A Multi-Objective Sine Cosine Algorithm Based on a Competitive Mechanism and Its Application in Engineering Design Problems. Biomimetics. 9(2). 115–115. 2 indexed citations

Hu, Pei, et al.. (2024). A multi-level thresholding image segmentation algorithm based on equilibrium optimizer. Scientific Reports. 14(1). 29728–29728. 3 indexed citations

Hu, Pei, et al.. (2024). An Advanced Whale Optimization Algorithm for Grayscale Image Enhancement. Biomimetics. 9(12). 760–760. 2 indexed citations

Hu, Pei, et al.. (2024). Multi-Level Thresholding Color Image Segmentation Using Modified Gray Wolf Optimizer. Biomimetics. 9(11). 700–700. 1 indexed citations

Pan, Jeng‐Shyang, et al.. (2023). Binary Bamboo Forest Growth Optimization Algorithm for Feature Selection Problem. Entropy. 25(2). 314–314. 5 indexed citations

Pan, Jeng‐Shyang, Haojie Shi, Shu‐Chuan Chu, Pei Hu, & Hisham A. Shehadeh. (2023). Parallel Binary Rafflesia Optimization Algorithm and Its Application in Feature Selection Problem. Symmetry. 15(5). 1073–1073. 3 indexed citations

Yue, Liya, Pei Hu, Shu‐Chuan Chu, & Jeng‐Shyang Pan. (2023). Multi-Objective Gray Wolf Optimizer with Cost-Sensitive Feature Selection for Predicting Students’ Academic Performance in College English. Mathematics. 11(15). 3396–3396. 9 indexed citations

10.

Pan, Jeng‐Shyang, Pei Hu, Tien-Szu Pan, & Shu‐Chuan Chu. (2023). Improved Equilibrium Optimizer for Short-Term Traffic Flow Prediction. Journal of Database Management. 34(1). 1–20. 2 indexed citations

11.

Yue, Liya, Pei Hu, Shu‐Chuan Chu, & Jeng‐Shyang Pan. (2023). Genetic Algorithm for High-Dimensional Emotion Recognition from Speech Signals. Electronics. 12(23). 4779–4779. 1 indexed citations

12.

Liu, Nengxian, Jeng‐Shyang Pan, Shu‐Chuan Chu, & Pei Hu. (2022). A sinusoidal social learning swarm optimizer for large-scale optimization. Knowledge-Based Systems. 259. 110090–110090. 7 indexed citations

13.

Hu, Pei, Jeng‐Shyang Pan, Shu‐Chuan Chu, & Chaoli Sun. (2022). Multi-surrogate assisted binary particle swarm optimization algorithm and its application for feature selection. Applied Soft Computing. 121. 108736–108736. 73 indexed citations

14.

Hu, Pei, et al.. (2022). A novel Fruit Fly Optimization Algorithm with quasi-affine transformation evolutionary for numerical optimization and application. International Journal of Distributed Sensor Networks. 18(2). 812463498–812463498. 7 indexed citations

15.

Pan, Jeng‐Shyang, et al.. (2020). Quasi-Affine Transformation Evolutionary Algorithm With Communication Schemes for Application of RSSI in Wireless Sensor Networks. IEEE Access. 8. 8583–8594. 69 indexed citations

16.

Niu, Ben, et al.. (2018). Two-Dimensional Maximum Entropy Infrared Image Fast Segmentation Based on Chicken Swarm Optimization. 16. 150–153. 3 indexed citations

17.

Hu, Pei. (2010). Sexual quality of life and related factors in women with schizophrenia. Zhongguo xinli weisheng zazhi. 1 indexed citations

18.

Hu, Pei. (2009). Research on decomposition of decision table based on decision making. Jisuanji yingyong yanjiu.

19.

Liu, Dun, Pei Hu, Tianrui Li, & Chaozhe Jiang. (2007). An Approach for Attribute Weights Acquisition based on Rough Sets Theory and Information Gain. 2 indexed citations

20.

Hu, Pei. (2006). Synthesis of the sodium phthalate of mono lauryl alcohol. 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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