Dehong Yu
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence top 10%
- Mechanical Engineering
- Control and Systems Engineering top 10%
- Computational Theory and Mathematics top 10%
- Co-authors
- Jian ZhuangHu XiaZhenzhong XiaoJin LiangZhengzong TangAnand AsundiCai‐Feng WangYaqing Zhang
- Topics
- Advanced Vision and Imaging (5 papers)Optical measurement and interference techniques (5 papers)Metaheuristic Optimization Algorithms Research (4 papers)
In The Last Decade
Dehong Yu
33 papers receiving 419 citations
Peers
Comparison fields: 5 of 79
- Computer Vision and Pattern Recognition 131
- Artificial Intelligence 104
- Mechanical Engineering 94
- Control and Systems Engineering 75
- Computational Theory and Mathematics 64
Countries citing papers authored by Dehong Yu
This map shows the geographic impact of Dehong Yu'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 Dehong Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dehong Yu more than expected).
Fields of papers citing papers by Dehong Yu
This network shows the impact of papers produced by Dehong Yu. 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 Dehong Yu. The network helps show where Dehong Yu may publish in the future.
Co-authorship network of co-authors of Dehong Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Dehong Yu. A scholar is included among the top collaborators of Dehong Yu 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 Dehong Yu. Dehong Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 10 | |
| 3 | 17 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 9 | |
| 7 | 17 | |
| 8 | 28 | |
| 9 | 17 | |
| 10 | 45 | |
| 11 | 3 | |
| 12 | 10 | |
| 13 | 47 | |
| 14 | 2 | |
| 15 | 1 | |
| 16 | 10 | |
| 17 | Environment-Based Synergic Immune Genetic Algorithm | 1 |
| 18 | A novel and accelerated genetic algorithm | 3 |
| 19 | 1 | |
| 20 | Modeling and Advanced Control of a Methanol/Water Binary Batch Distillation Column | 2 |
About Dehong Yu
Dehong Yu is a scholar working on Issues, ethics and legal aspects, Media Technology and Computer Vision and Pattern Recognition, having authored 33 papers that have together received 435 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (5 papers), Optical measurement and interference techniques (5 papers) and Metaheuristic Optimization Algorithms Research (4 papers). The work is most often cited by research in Geology (45 citations), Computer Vision and Pattern Recognition (131 citations) and Computational Theory and Mathematics (64 citations). Dehong Yu has collaborated with scholars based in China, Australia and Singapore. Frequent co-authors include Jian Zhuang, Hu Xia, Zhenzhong Xiao, Jin Liang, Zhengzong Tang, Anand Asundi, Jian Zhuang, Cai‐Feng Wang, Yaqing Zhang and Jin-De Chen. Their work appears in journals such as Expert Systems with Applications, Pattern Recognition and Journal of Advanced Nursing.
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.