Gai‐Ge Wang

171 papers and 11.0k indexed citations i.

About

Gai‐Ge Wang is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Gai‐Ge Wang has authored 171 papers receiving a total of 11.0k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Artificial Intelligence, 65 papers in Computational Theory and Mathematics and 24 papers in Computer Vision and Pattern Recognition. Recurrent topics in Gai‐Ge Wang’s work include Metaheuristic Optimization Algorithms Research (102 papers), Advanced Multi-Objective Optimization Algorithms (65 papers) and Evolutionary Algorithms and Applications (49 papers). Gai‐Ge Wang is often cited by papers focused on Metaheuristic Optimization Algorithms Research (102 papers), Advanced Multi-Objective Optimization Algorithms (65 papers) and Evolutionary Algorithms and Applications (49 papers). Gai‐Ge Wang collaborates with scholars based in China, United States and Australia. Gai‐Ge Wang's co-authors include Suash Deb, Amir H. Gandomi, Amir H. Alavi, Zhihua Cui, Lihong Guo, Leandro dos Santos Coelho, Heqi Wang, Yanhong Feng, Hong Duan and Witold Pedrycz and has published in prestigious journals such as Chemical Engineering Journal, Applied Energy and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Co-authorship network of co-authors of Gai‐Ge Wang i

Fields of papers citing papers by Gai‐Ge Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gai‐Ge Wang. 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 Gai‐Ge Wang. The network helps show where Gai‐Ge Wang may publish in the future.

Countries citing papers authored by Gai‐Ge Wang

Since Specialization
Citations

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

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

Rankless by CCL
2025