Gai‐Ge Wang

16.1k total citations · 9 hit papers
189 papers, 12.9k citations indexed

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 189 papers receiving a total of 12.9k indexed citations (citations by other indexed papers that have themselves been cited), including 125 papers in Artificial Intelligence, 72 papers in Computational Theory and Mathematics and 27 papers in Computer Vision and Pattern Recognition. Recurrent topics in Gai‐Ge Wang's work include Metaheuristic Optimization Algorithms Research (114 papers), Advanced Multi-Objective Optimization Algorithms (72 papers) and Evolutionary Algorithms and Applications (55 papers). Gai‐Ge Wang is often cited by papers focused on Metaheuristic Optimization Algorithms Research (114 papers), Advanced Multi-Objective Optimization Algorithms (72 papers) and Evolutionary Algorithms and Applications (55 papers). Gai‐Ge Wang collaborates with scholars based in China, United States and Canada. Gai‐Ge Wang's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemical Engineering Journal and Applied Energy.

In The Last Decade

Gai‐Ge Wang

183 papers receiving 12.5k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Monarch butterfly optimization

2015 814 citations Gai‐Ge Wang et al. profile →
Moth search algorithm: a bio-inspired metaheuristic algorithm for global optimization problems

2016 663 citations Gai‐Ge Wang profile →
Elephant Herding Optimization

2015 506 citations Gai‐Ge Wang et al. profile →
Chaotic Krill Herd algorithm

2014 481 citations Gai‐Ge Wang et al. Information Sciences profile →
Detection of Malicious Code Variants Based on Deep Learning

2018 459 citations Gai‐Ge Wang et al. profile →
Earthworm optimisation algorithm: a bio-inspired metaheuristic algorithm for global optimisation problems

2018 312 citations Gai‐Ge Wang et al. profile →
Solving Fuzzy Job-Shop Scheduling Problem Using DE Algorithm Improved by a Selection Mechanism

2020 237 citations Gai‐Ge Wang et al. profile →
Solving Multiobjective Fuzzy Job-Shop Scheduling Problem by a Hybrid Adaptive Differential Evolution Algorithm

2022 207 citations Gai‐Ge Wang et al. profile →
ConvUNeXt: An efficient convolution neural network for medical image segmentation

2022 187 citations Muwei Jian, Gai‐Ge Wang et al. profile →

Peers

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).

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.

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

This figure shows the co-authorship network connecting the top 25 collaborators of Gai‐Ge Wang. A scholar is included among the top collaborators of Gai‐Ge Wang 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 Gai‐Ge Wang. Gai‐Ge Wang 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

#	Work	Indexed citations
1	A dynamic multi-objective optimization based on knowledge prediction and density clustering strategy 2025 ·Applied Soft Computing ·Yong Wang, (unknown), (unknown), Gai‐Ge Wang	0
2	NGSTGAN: N-Gram Swin Transformer and Multi-Attention U-Net Discriminator for Efficient Multi-Spectral Remote Sensing Image Super-Resolution 2025 ·Remote Sensing ·(unknown), (unknown), Bibo Lu, Wei Yang, (unknown), Gai‐Ge Wang	3
3	A two-mode offspring generation selection mechanism with co-evolution for sparse large-scale multiobjective optimization 2025 ·Information Sciences ·(unknown), Jian Wang, Gai‐Ge Wang, Yong Zhang, Dunwei Gong, Yaochu Jin, Nikhil R. Pal	1
4	A Tree-Based Multiobjective Evolutionary Algorithm for Energy-Efficient Hybrid Flow-Shop Scheduling 2024 ·IEEE Transactions on Evolutionary Computation ·(unknown), Gai‐Ge Wang, Ling Wang	5
5	An Adaptive Multistrategy Algorithm Based on Extent of Environmental Change for Dynamic Multiobjective Optimization 2024 ·IEEE Transactions on Evolutionary Computation ·Yong Wang, (unknown), Gai‐Ge Wang	4
6	Impact of physical and attention mechanisms on U-Net for SST forecasting 2024 ·Yong Wang, (unknown), Gai‐Ge Wang	3
7	SSFAN: A Compact and Efficient Spectral-Spatial Feature Extraction and Attention-Based Neural Network for Hyperspectral Image Classification 2024 ·Remote Sensing ·(unknown), (unknown), Bibo Lu, Wei Yang, Yingjie Zhang, Gai‐Ge Wang, (unknown)	1
8	Triple-DRNet: A triple-cascade convolution neural network for diabetic retinopathy grading using fundus images 2023 ·Computers in Biology and Medicine ·Muwei Jian, Hongyu Chen, Tao Chen, Xiaoguang Li, Gai‐Ge Wang	42
9	A dual-population multi-objective evolutionary algorithm driven by generative adversarial networks for benchmarking and protein-peptide docking 2023 ·Computers in Biology and Medicine ·(unknown), Gai‐Ge Wang, (unknown), Rui Wang	4
10	YOLO-AA: an efficient object detection model via strengthening fusion context information 2023 ·Multimedia Tools and Applications ·(unknown), Muwei Jian, Gai‐Ge Wang	3
11	A systematic review of fuzzing 2023 ·Soft Computing ·(unknown), Haipeng Qu, Jianliang Xu, (unknown), (unknown), Gai‐Ge Wang	11
12	Hierarchical learning particle swarm optimization using fuzzy logic 2023 ·Expert Systems with Applications ·Yong Wang, (unknown), Gai‐Ge Wang	29
13	Decomposition-Based Multiobjective Optimization for Variable-Length Mixed-Variable Pareto Optimization and Its Application in Cloud Service Allocation 2023 ·IEEE Transactions on Systems Man and Cybernetics Systems ·Lianbo Ma, Yang Liu, Guo Yu, (unknown), Hongwei Mo, Gai‐Ge Wang, Yaochu Jin, Ying Tan	10
14	AMSUnet: A neural network using atrous multi-scale convolution for medical image segmentation 2023 ·Computers in Biology and Medicine ·(unknown), (unknown), Muwei Jian, Gai‐Ge Wang, Liyan Chen, (unknown)	44
15	Landsat-8 to Sentinel-2 Satellite Imagery Super-Resolution-Based Multiscale Dilated Transformer Generative Adversarial Networks 2023 ·Remote Sensing ·(unknown), (unknown), Wei Yang, Gai‐Ge Wang, (unknown), Xuan Liu, Bibo Lu	6
16	Redemptive Resource Sharing and Allocation Scheme for Internet of Things-Assisted Smart Healthcare Systems 2022 ·IEEE Journal of Biomedical and Health Informatics ·Jiechao Gao, Tu N. Nguyen, (unknown), (unknown), Gai‐Ge Wang	6
17	A Novel Monarch Butterfly Optimization with Global Position Updating Operator for Large-Scale 0-1 Knapsack Problems 2019 ·Mathematics ·Yanhong Feng, Xu Yu, Gai‐Ge Wang	23
18	Elephant Herding Optimization for Solving Non-convex Optimal Power Flow Problem 2017 ·SHILAP Revista de lepidopterología ·(unknown), (unknown), Ragab A. El‐Sehiemy, Gai‐Ge Wang	14
19	A Novel Hybrid Cuckoo Search Algorithm with Global Harmony Search for 0–1 Knapsack Problems 2016 ·International Journal of Computational Intelligence Systems ·Yanhong Feng, Gai‐Ge Wang, Xiao‐Zhi Gao	35
20	An Effective Hybrid Cuckoo Search Algorithm with Improved Shuffled Frog Leaping Algorithm for 0-1 Knapsack Problems 2014 ·Computational Intelligence and Neuroscience ·Yanhong Feng, Gai‐Ge Wang, (unknown), Xiangjun Zhao	23

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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