Hongwei Ge
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 2%
- Control and Systems Engineering top 5%
- Computational Theory and Mathematics top 2%
- Computer Networks and Communications top 5%
- Topics
- Metaheuristic Optimization Algorithms Research (26 papers)Evolutionary Algorithms and Applications (16 papers)Video Surveillance and Tracking Methods (16 papers)
- Cited by
- Artificial IntelligenceComputer Vision and Pattern RecognitionIndustrial and Manufacturing Engineering
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Hongwei Ge
124 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 127
- Artificial Intelligence 690
- Computer Vision and Pattern Recognition 365
- Control and Systems Engineering 332
- Computational Theory and Mathematics 257
- Computer Networks and Communications 224
Countries citing papers authored by Hongwei Ge
This map shows the geographic impact of Hongwei Ge'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 Hongwei Ge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongwei Ge more than expected).
Fields of papers citing papers by Hongwei Ge
This network shows the impact of papers produced by Hongwei Ge. 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 Hongwei Ge. The network helps show where Hongwei Ge may publish in the future.
Co-authorship network of co-authors of Hongwei Ge
This figure shows the co-authorship network connecting the top 25 collaborators of Hongwei Ge. A scholar is included among the top collaborators of Hongwei Ge 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 Hongwei Ge. Hongwei Ge is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 8 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 8 | |
| 11 | 15 | |
| 12 | 7 | |
| 13 | 92 | |
| 14 | An Interactive Many Objective Evolutionary Algorithm with Cascade Clustering and Reference Point Incremental Learning. | 1 |
| 15 | 1 | |
| 16 | Particle swarm optimization algorithm with firefly behavior and Levy flight | 2 |
| 17 | Particle Swarm Optimization Algorithm Based on Multi-swarm and Multi-model Cooperative Evolution | 0 |
| 18 | Edges Immunization Strategy in Scale-free Network | 3 |
| 19 | New hybrid particle swarm optimization | 8 |
| 20 | Rich-club phenomenon based search immunization | 1 |
About Hongwei Ge
Hongwei Ge is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, having authored 140 papers that have together received 1.6k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (26 papers), Evolutionary Algorithms and Applications (16 papers) and Video Surveillance and Tracking Methods (16 papers). The work is most often cited by research in Artificial Intelligence (690 citations), Computer Vision and Pattern Recognition (365 citations) and Industrial and Manufacturing Engineering (165 citations). Hongwei Ge has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Liang Sun, Yanchun Liang, Feng Qian, Chunguo Wu, Guozhen Tan, Yaqing Hou, Liang Sun, Yanchun Liang, Wenli Du and Heow Pueh Lee. Their work appears in journals such as PLoS ONE, Automatica and IEEE Transactions on Image Processing.
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.