Gai‐Ge Wang
Impact in
- Artificial Intelligence top 0.05%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Computational Theory and Mathematics top 0.05%
- Advanced Multi-Objective Optimization Algorithms
Papers in
-
- Metaheuristic Optimization Algorithms Research 114
- Evolutionary Algorithms and Applications 55
-
- Advanced Multi-Objective Optimization Algorithms 72
- Co-authors
- Suash Deb (20 shared papers)Amir H. Gandomi (22 shared papers)Amir H. Alavi (24 shared papers)Leandro dos Santos Coelho (8 shared papers)Zhihua Cui (6 shared papers)Lihong Guo (13 shared papers)Heqi Wang (10 shared papers)Hong Duan (13 shared papers)
- Journals
- Information Sciences (12 papers)Neural Computing and Applications (10 papers)Knowledge-Based Systems (8 papers)International Journal of Bio-Inspired Computation (6 papers)Neurocomputing (5 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Gai‐Ge Wang
183 papers receiving 12.8k citations
Gai‐Ge Wang's Hit Papers
Peers
Comparison fields: 5 of 172
- Artificial Intelligence 7.3k
- Computational Theory and Mathematics 3.4k
- Industrial and Manufacturing Engineering 1.6k
- Computer Vision and Pattern Recognition 1.7k
- Computer Networks and Communications 1.5k
Countries citing papers authored by Gai‐Ge Wang
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).
Fields of papers citing papers by Gai‐Ge Wang
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.
Co-authors
The 25 scholars most cited alongside Gai‐Ge Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 192 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Monarch butterfly optimization Hit paper breakdown → | 2015 | 827 |
| 2 | Moth search algorithm: a bio-inspired metaheuristic algorithm for global optimization problems Hit paper breakdown → | 2016 | 667 |
| 3 | Elephant Herding Optimization Hit paper breakdown → | 2015 | 515 |
| 4 | Chaotic Krill Herd algorithm Hit paper breakdown → | 2014 | 488 |
| 5 | Detection of Malicious Code Variants Based on Deep Learning Hit paper breakdown → | 2018 | 469 |
| 6 | Earthworm optimisation algorithm: a bio-inspired metaheuristic algorithm for global optimisation problems Hit paper breakdown → | 2018 | 314 |
| 7 | 2017 | 247 | |
| 8 | 2020 | 241 | |
| 9 | 2013 | 232 | |
| 10 | 2016 | 227 | |
| 11 | Solving Multiobjective Fuzzy Job-Shop Scheduling Problem by a Hybrid Adaptive Differential Evolution Algorithm Hit paper breakdown → | 2022 | 218 |
| 12 | 2016 | 209 | |
| 13 | 2015 | 205 | |
| 14 | 2014 | 204 | |
| 15 | 2018 | 201 | |
| 16 | 2013 | 200 | |
| 17 | ConvUNeXt: An efficient convolution neural network for medical image segmentation Hit paper breakdown → | 2022 | 200 |
| 18 | 2015 | 188 | |
| 19 | 2012 | 187 | |
| 20 | 2021 | 183 |
About Gai‐Ge Wang
Gai‐Ge Wang is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Electrical and Electronic Engineering, having authored 192 papers that have together received 13.1k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (114 papers), Advanced Multi-Objective Optimization Algorithms (72 papers), Evolutionary Algorithms and Applications (55 papers), Robotic Path Planning Algorithms (12 papers), Scheduling and Optimization Algorithms (10 papers), Optimization and Packing Problems (10 papers), Vehicle Routing Optimization Methods (8 papers) and Advanced Neural Network Applications (7 papers). The work is most often cited by research in Artificial Intelligence (7.3k citations), Computational Theory and Mathematics (3.4k citations), Industrial and Manufacturing Engineering (1.6k citations), Computer Vision and Pattern Recognition (1.7k citations) and Computer Networks and Communications (1.5k citations). Gai‐Ge Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Suash Deb, Amir H. Gandomi, Amir H. Alavi, Leandro dos Santos Coelho, Zhihua Cui, Lihong Guo, Heqi Wang, Hong Duan, Yanhong Feng and Witold Pedrycz. Their work appears in journals such as Information Sciences, Neural Computing and Applications, Knowledge-Based Systems, International Journal of Bio-Inspired Computation and Neurocomputing.
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.