Jun He

3.7k total citations
110 papers, 2.2k citations indexed

About

Jun He is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Jun He has authored 110 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Artificial Intelligence, 48 papers in Computational Theory and Mathematics and 17 papers in Computer Networks and Communications. Recurrent topics in Jun He's work include Metaheuristic Optimization Algorithms Research (56 papers), Evolutionary Algorithms and Applications (46 papers) and Advanced Multi-Objective Optimization Algorithms (42 papers). Jun He is often cited by papers focused on Metaheuristic Optimization Algorithms Research (56 papers), Evolutionary Algorithms and Applications (46 papers) and Advanced Multi-Objective Optimization Algorithms (42 papers). Jun He collaborates with scholars based in China, United Kingdom and Germany. Jun He's co-authors include Xin Yao, Pietro S. Oliveto, Yuren Zhou, Simon T. Powers, Lishan Kang, Guangming Lin, Hongbin Dong, Aiwen Lei, Wei Hou and Carsten Witt and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and IEEE Access.

In The Last Decade

Jun He

95 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jun He China	26	1.4k	913	287	174	152	110	2.2k
Feng Zou China	26	988 0.7×	569 0.6×	290 1.0×	129 0.7×	291 1.9×	127	2.2k
Vassilis P. Plagianakos Greece	24	1.3k 0.9×	655 0.7×	78 0.3×	59 0.3×	182 1.2×	120	2.1k
M. Montaz Ali South Africa	26	1.3k 0.9×	1.1k 1.2×	148 0.5×	176 1.0×	260 1.7×	99	2.6k
Leo Liberti France	30	538 0.4×	914 1.0×	375 1.3×	344 2.0×	366 2.4×	166	2.9k
Debao Chen China	26	1.1k 0.8×	612 0.7×	100 0.3×	135 0.8×	425 2.8×	114	2.2k
Jay Yellen United States	11	187 0.1×	300 0.3×	277 1.0×	70 0.4×	326 2.1×	19	1.4k
Aleksandar Ilić Serbia	25	148 0.1×	827 0.9×	385 1.3×	212 1.2×	290 1.9×	140	2.1k
Renato De Leone Italy	18	217 0.1×	250 0.3×	78 0.3×	62 0.4×	176 1.2×	79	962
Aimo Törn Finland	13	819 0.6×	941 1.0×	155 0.5×	121 0.7×	107 0.7×	24	2.0k
Cezary Z. Janikow United States	16	1.2k 0.8×	538 0.6×	116 0.4×	124 0.7×	109 0.7×	44	1.9k

Countries citing papers authored by Jun He

Since Specialization

Citations

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

Fields of papers citing papers by Jun He

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun He

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

Xu, Zhensong, Xinwei Wang, Liang Sun, et al.. (2025). Combination of backscatter calculation and image segmentation for denoising gated light ranging and imaging in fishing net detection. Applied Ocean Research. 156. 104455–104455.

Huang, Wei, Jun He, & Liehuang Zhu. (2025). A multiple direction search algorithm for continuous optimization. Swarm and Evolutionary Computation. 99. 102138–102138. 1 indexed citations

Chen, Hongyang, et al.. (2024). Accelerate Evolution Strategy by Proximal Policy Optimization. Proceedings of the Genetic and Evolutionary Computation Conference. 1064–1072.

Chen, Hongyang, et al.. (2024). An adaptive helper and equivalent objective evolution strategy for constrained optimization. Information Sciences. 690. 121536–121536. 1 indexed citations

Wang, Xinwei, et al.. (2023). Mask-guided deep learning fishing net detection and recognition based on underwater range gated laser imaging. Optics & Laser Technology. 171. 110402–110402. 14 indexed citations

He, Jun, et al.. (2022). Location Selection of Continuous Multi-logistics Nodes Base on Node Covering Algorithm. 29. 200–203.

Bu, Fan, et al.. (2020). Interval-valued intuitionistic fuzzy MADM method based on TOPSIS and grey correlation analysis. Mathematical Biosciences & Engineering. 17(5). 5584–5603. 11 indexed citations

Li, Kangshun, Yan Chen, Wei Li, Jun He, & Yu Xue. (2017). Improved gene expression programming to solve the inverse problem for ordinary differential equations. Swarm and Evolutionary Computation. 38. 231–239. 27 indexed citations

Çörüş, Doğan, Jun He, Thomas Jansen, et al.. (2016). On Easiest Functions for Mutation Operators in Bio-Inspired Optimisation. Algorithmica. 78(2). 714–740. 12 indexed citations

10.

Çörüş, Doğan, Jun He, Thomas Jansen, et al.. (2015). On Easiest Functions for Somatic Contiguous Hypermutations And Standard Bit Mutations. University of Birmingham Research Portal (University of Birmingham). 1399–1406. 3 indexed citations

11.

Friedrich, Tobias, Jun He, Thomas Jansen, & Alberto Moraglio. (2014). Genetic and Evolutionary Computation. Theoretical Computer Science. 561. 1–2. 3 indexed citations

12.

He, Jun & Tianshi Chen. (2012). A General Analysis of Evolutionary Algorithms for Hard and Easy Fitness Functions. arXiv (Cornell University).

13.

He, Jun & Ting‐Zhu Huang. (2011). Two augmentation preconditioners for nonsymmetric and indefinite saddle point linear systems with singular (1, 1) blocks. Computers & Mathematics with Applications. 62(1). 87–92. 9 indexed citations

14.

Chen, Tianshi, Jun He, Guangzhong Sun, Guoliang Chen, & Xin Yao. (2009). A New Approach for Analyzing Average Time Complexity of Population-Based Evolutionary Algorithms on Unimodal Problems. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 39(5). 1092–1106. 41 indexed citations

15.

Zhou, Yuren, Jun He, & Qing Nie. (2008). A comparative runtime analysis of heuristic algorithms for satisfiability problems. Artificial Intelligence. 173(2). 240–257. 22 indexed citations

16.

Oliveto, Pietro S., Jun He, & Xin Yao. (2007). Time complexity of evolutionary algorithms for combinatorial optimization: A decade of results. International Journal of Automation and Computing. 4(3). 281–293. 155 indexed citations

17.

He, Jun & Xin Yao. (2003). Towards an analytic framework for analysing the computation time of evolutionary algorithms. Artificial Intelligence. 145(1-2). 59–97. 119 indexed citations

18.

He, Jun & Xin Yao. (2001). Drift analysis and average time complexity of evolutionary algorithms. Artificial Intelligence. 127(1). 57–85. 256 indexed citations

19.

He, Jun & Lishan Kang. (1999). On the convergence rates of genetic algorithms. Theoretical Computer Science. 229(1-2). 23–39. 64 indexed citations

20.

Ji, Donghong, Jun He, & Changning Huang. (1997). Learning New Compositions from Given Ones. 25–32. 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.

Explore authors with similar magnitude of impact