Xin‐She Yang

65.9k total citations · 25 hit papers
325 papers, 34.1k citations indexed

About

Xin‐She Yang is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Electrical and Electronic Engineering. According to data from OpenAlex, Xin‐She Yang has authored 325 papers receiving a total of 34.1k indexed citations (citations by other indexed papers that have themselves been cited), including 123 papers in Artificial Intelligence, 70 papers in Computational Theory and Mathematics and 43 papers in Electrical and Electronic Engineering. Recurrent topics in Xin‐She Yang's work include Metaheuristic Optimization Algorithms Research (104 papers), Advanced Multi-Objective Optimization Algorithms (58 papers) and Evolutionary Algorithms and Applications (51 papers). Xin‐She Yang is often cited by papers focused on Metaheuristic Optimization Algorithms Research (104 papers), Advanced Multi-Objective Optimization Algorithms (58 papers) and Evolutionary Algorithms and Applications (51 papers). Xin‐She Yang collaborates with scholars based in United Kingdom, China and India. Xin‐She Yang's co-authors include Suash Deb, Amir H. Gandomi, Amir H. Alavi, Xingshi He, Iztok Fister, Momin Jamil, Siamak Talatahari, Mehmet Karamanoglu, Janez Brest and Sławomir Kozieł and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, PLoS ONE and Advanced Functional Materials.

In The Last Decade

Xin‐She Yang

311 papers receiving 32.3k citations

Hit Papers

Cuckoo Search via L&#... 2008 2026 2014 2020 2009 2008 2010 2011 2010 1000 2.0k 3.0k 4.0k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Xin‐She Yang 16.7k 7.6k 6.7k 4.6k 3.7k 325 34.1k
Andrew Lewis 13.1k 0.8× 5.2k 0.7× 6.8k 1.0× 4.9k 1.1× 3.6k 1.0× 114 28.4k
Derviş Karaboğa 13.6k 0.8× 5.2k 0.7× 4.6k 0.7× 3.7k 0.8× 3.5k 0.9× 134 26.8k
Kenneth V. Price 14.2k 0.9× 8.4k 1.1× 5.3k 0.8× 4.1k 0.9× 2.4k 0.6× 13 29.8k
Amir H. Gandomi 18.9k 1.1× 8.2k 1.1× 6.6k 1.0× 4.2k 0.9× 4.2k 1.1× 610 43.7k
David E. Goldberg 19.9k 1.2× 9.4k 1.2× 5.1k 0.8× 4.7k 1.0× 3.3k 0.9× 305 46.6k
Huiling Chen 20.0k 1.2× 6.4k 0.8× 5.0k 0.7× 3.1k 0.7× 5.3k 1.4× 822 40.8k
Rainer Storn 13.3k 0.8× 7.9k 1.0× 5.2k 0.8× 3.9k 0.9× 2.3k 0.6× 15 28.3k
Xin Yao 28.9k 1.7× 14.6k 1.9× 4.3k 0.6× 3.3k 0.7× 3.8k 1.0× 875 44.3k
Seyed Mohammad Mirjalili 10.4k 0.6× 4.4k 0.6× 5.7k 0.9× 3.9k 0.9× 2.6k 0.7× 37 22.1k
Ponnuthurai Nagaratnam Suganthan 30.5k 1.8× 18.3k 2.4× 8.6k 1.3× 6.2k 1.4× 4.8k 1.3× 556 50.6k

Countries citing papers authored by Xin‐She Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xin‐She Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xin‐She Yang. 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 Xin‐She Yang. The network helps show where Xin‐She Yang may publish in the future.

Co-authorship network of co-authors of Xin‐She Yang

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

All Works

20 of 20 papers shown
1.
Chao, Guojie, Ouyang Yue, Xin‐She Yang, et al.. (2025). Micromechanical cleavage enables neat surface and organic-inorganic interlayer for reversible Zn anodes. Journal of Power Sources. 634. 236475–236475. 2 indexed citations
2.
Naderi, Sadjad, Xin‐She Yang, Christopher C. Pain, et al.. (2025). Optimised hammer drilling bit design using artificial neural networks trained by FDEM-generated data. Journal of Rock Mechanics and Geotechnical Engineering. 17(11). 6868–6880. 1 indexed citations
3.
Yang, Xin‐She, Jiansheng Xiang, J. Latham, Sadjad Naderi, & Yanghua Wang. (2025). Cracking and fragmentation in percussive drilling: Insight from FDEM simulation. Journal of Rock Mechanics and Geotechnical Engineering. 17(10). 6095–6110. 1 indexed citations
4.
Yang, Xin‐She. (2024). A generalized evolutionary metaheuristic (GEM) algorithm for engineering optimization. Cogent Engineering. 11(1). 6 indexed citations
5.
Yang, Xin‐She, Jiansheng Xiang, Sadjad Naderi, et al.. (2024). Where Does the Energy Go in Percussion Drilling? FDEM's Answer. SPIRE - Sciences Po Institutional REpository. 2 indexed citations
6.
Gerbaud, Laurent, V. Nagarajan, Sadjad Naderi, et al.. (2024). A Study of Rock Breakage Under Extreme Submerged Confining Pressure: Can DTH Hammer Drilling Deliver?. SPIRE - Sciences Po Institutional REpository. 1 indexed citations
7.
Le, Tuan Anh, et al.. (2024). Firefly Algorithm for Movable Antenna Arrays. IEEE Wireless Communications Letters. 13(11). 3157–3161. 3 indexed citations
8.
Yang, Xin‐She, et al.. (2023). Proceedings of Eighth International Congress on Information and Communication Technology. Lecture notes in networks and systems. 9 indexed citations
9.
Le, Tuan Anh, Derrick Wing Kwan Ng, & Xin‐She Yang. (2023). A Rank-One Optimization Framework and Its Applications to Transmit Beamforming. IEEE Transactions on Vehicular Technology. 73(1). 620–636. 3 indexed citations
10.
Bhateja, Vikrant, Xin‐She Yang, Jerry Chun‐Wei Lin, & Ranjita Das. (2023). Evolution in Computational Intelligence. Smart innovation, systems and technologies. 1 indexed citations
11.
Yang, Xin‐She, R. Simon Sherratt, Nilanjan Dey, & Amit Joshi. (2023). Proceedings of Eighth International Congress on Information and Communication Technology. Lecture notes in networks and systems. 1 indexed citations
14.
Li, Qian, et al.. (2021). An elitism-based multi-objective evolutionary algorithm for min-cost network disintegration. Knowledge-Based Systems. 239. 107944–107944. 8 indexed citations
15.
Vien, Quoc‐Tuan, Tuan Anh Le, Xin‐She Yang, & Trung Q. Duong. (2019). Enhancing Security of MME Handover via Fractional Programming and Firefly Algorithm. IEEE Transactions on Communications. 67(9). 6206–6220. 9 indexed citations
16.
Fong, Simon, Suash Deb, Xin‐She Yang, & Yan Zhuang. (2014). Towards Enhancement of Performance of K-Means Clustering Using Nature-Inspired Optimization Algorithms. The Scientific World JOURNAL. 2014. 1–16. 39 indexed citations
17.
Jeliazkov, Ivan & Xin‐She Yang. (2014). Bayesian inference in the social sciences. Wiley eBooks. 2 indexed citations
18.
Fong, Simon, Yan Zhuang, Rui Tang, Xin‐She Yang, & Suash Deb. (2013). Selecting Optimal Feature Set in High-Dimensional Data by Swarm Search. Journal of Applied Mathematics. 2013. 1–18. 17 indexed citations
19.
Yang, Xin‐She & Suash Deb. (2009). Cuckoo Search via Lévy flights. 210–214. 4520 indexed citations breakdown →
20.
Yang, Xin‐She, et al.. (2006). Optimization of CFRP strengthening of precracked structures using genetic algorithms. Cambridge University Engineering Department Publications Database. 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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