Guangming Lin

4.2k total citations · 1 hit paper
10 papers, 3.0k citations indexed

About

Guangming Lin is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Electrical and Electronic Engineering. According to data from OpenAlex, Guangming Lin has authored 10 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Computational Theory and Mathematics and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Guangming Lin's work include Metaheuristic Optimization Algorithms Research (6 papers), Evolutionary Algorithms and Applications (5 papers) and Advanced Multi-Objective Optimization Algorithms (3 papers). Guangming Lin is often cited by papers focused on Metaheuristic Optimization Algorithms Research (6 papers), Evolutionary Algorithms and Applications (5 papers) and Advanced Multi-Objective Optimization Algorithms (3 papers). Guangming Lin collaborates with scholars based in China, Australia and United Kingdom. Guangming Lin's co-authors include Xin Yao, Yong Liu, Jun He, Lishan Kang, Yuping Chen, Sanfeng Chen, Yongsheng Liang, Xin Lu, Xu Tan and Fei Tang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Evolutionary Computation and Neurocomputing.

In The Last Decade

Guangming Lin

9 papers receiving 2.9k citations

Hit Papers

Evolutionary programming made faster 1999 2026 2008 2017 1999 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guangming Lin China 3 2.4k 1.4k 383 367 249 10 3.0k
V. L. Huang Singapore 9 2.4k 1.0× 1.7k 1.2× 429 1.1× 530 1.4× 158 0.6× 9 3.5k
Rui Mendes Portugal 12 2.6k 1.1× 1.3k 0.9× 726 1.9× 370 1.0× 308 1.2× 24 3.5k
Hadi Eskandar Iran 12 1.8k 0.8× 1.3k 1.0× 553 1.4× 612 1.7× 141 0.6× 16 3.1k
Shubham Gupta India 25 1.5k 0.6× 778 0.6× 357 0.9× 312 0.9× 171 0.7× 67 2.5k
Anne Auger France 16 3.2k 1.4× 2.4k 1.7× 341 0.9× 201 0.5× 168 0.7× 36 4.1k
Zhijian Wu China 25 1.7k 0.7× 951 0.7× 318 0.8× 195 0.5× 152 0.6× 114 2.3k
Weifeng Gao China 26 2.5k 1.0× 1.5k 1.1× 432 1.1× 376 1.0× 335 1.3× 107 3.5k
Mahamed G. H. Omran Kuwait 19 1.7k 0.7× 752 0.5× 302 0.8× 270 0.7× 165 0.7× 49 2.6k
Uday K. Chakraborty United States 23 1.6k 0.7× 992 0.7× 356 0.9× 482 1.3× 107 0.4× 58 2.9k
Asanga Ratnaweera Sri Lanka 7 1.4k 0.6× 599 0.4× 740 1.9× 573 1.6× 165 0.7× 17 2.6k

Countries citing papers authored by Guangming Lin

Since Specialization
Citations

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

Fields of papers citing papers by Guangming Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangming Lin

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

All Works

10 of 10 papers shown
1.
Chen, Sanfeng, et al.. (2023). Localization Algorithm Based on a Spring Particle Model (LASPM) for Large-Scale Unmanned Aerial Vehicle Swarm (UAVs). International Journal of Cognitive Informatics and Natural Intelligence. 17(1). 1–13. 1 indexed citations
2.
Chen, Sanfeng, et al.. (2019). An improved DV-Hop algorithm based on distance optimisation for WSNs. International Journal of Wireless and Mobile Computing. 17(2). 219–219. 1 indexed citations
3.
He, Jun & Guangming Lin. (2015). Average Convergence Rate of Evolutionary Algorithms. IEEE Transactions on Evolutionary Computation. 20(2). 316–321. 55 indexed citations
4.
Tang, Fei, et al.. (2014). Discovery scientific laws by hybrid evolutionary model. Neurocomputing. 148. 143–149. 2 indexed citations
5.
Lin, Guangming, et al.. (2013). Radio Frequency Identification (RFID) Enabled Fixed Prosthesis and Its  Applications in Clinical Dentistry. SHILAP Revista de lepidopterología. 3(2). 101–105. 1 indexed citations
6.
Lu, Xin, et al.. (2012). Channel Estimation Techniques Based on Short Preamble and Pilot for MIMO-OFDM Systems. International Journal of Digital Content Technology and its Applications. 6(12). 449–456. 1 indexed citations
7.
Lin, Guangming, Lishan Kang, Yongsheng Liang, & Yuping Chen. (2008). Velocity self-adaptation made Particle Swarm Optimization faster. 1–6. 2 indexed citations
8.
Lin, Guangming & Xin Yao. (2002). Analysing crossover operators by search step size. 107–110. 19 indexed citations
9.
Yao, Xin, Yong Liu, & Guangming Lin. (1999). Evolutionary programming made faster. IEEE Transactions on Evolutionary Computation. 3(2). 82–102. 2939 indexed citations breakdown →
10.
Lin, Guangming, et al.. (1996). Parallel genetic algorithm on PVM. Wuhan University Journal of Natural Sciences. 1(3-4). 605–610. 2 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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