Junzhao Yu
Impact in
- Artificial Intelligence top 5%
- Neural Networks and Applications
- Machine Learning and ELM
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
-
- Advanced Algorithms and Applications
Papers in
-
- Advanced Algorithms and Applications 7
- Advanced Sensor and Control Systems 4
- Industrial Technology and Control Systems 3
-
- Metaheuristic Optimization Algorithms Research 3
- Text and Document Classification Technologies 3
- Co-authors
- Shifei Ding (13 shared papers)Chunyang Su (2 shared papers)Fengxiang Jin (3 shared papers)Hui Li (1 shared paper)Huajuan Huang (4 shared papers)Xiekai Zhang (1 shared paper)Huajuan Huang (3 shared papers)Han Zhao (1 shared paper)
In The Last Decade
Junzhao Yu
13 papers receiving 1.2k citations
Junzhao Yu's Hit Papers
Peers
Comparison fields: 5 of 137
- Artificial Intelligence 444
- Control and Systems Engineering 237
- Computer Vision and Pattern Recognition 212
- Environmental Engineering 102
- Safety, Risk, Reliability and Quality 48
Countries citing papers authored by Junzhao Yu
This map shows the geographic impact of Junzhao 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 Junzhao Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junzhao Yu more than expected).
Fields of papers citing papers by Junzhao Yu
This network shows the impact of papers produced by Junzhao 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 Junzhao Yu. The network helps show where Junzhao Yu may publish in the future.
Co-authors
The 11 scholars most cited alongside Junzhao Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | An optimizing BP neural network algorithm based on genetic algorithm Hit paper breakdown → | 2011 | 642 |
| 2 | Evolutionary artificial neural networks: a review Hit paper breakdown → | 2011 | 330 |
| 3 | 2012 | 83 | |
| 4 | 2013 | 56 | |
| 5 | 2015 | 56 | |
| 6 | 2013 | 24 | |
| 7 | 2013 | 21 | |
| 8 | 2012 | 15 | |
| 9 | 2012 | 13 | |
| 10 | 2013 | 7 | |
| 11 | 2012 | 7 | |
| 12 | 2014 | 2 | |
| 13 | 2012 | 1 |
About Junzhao Yu
Junzhao Yu is a scholar working on Control and Systems Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Safety, Risk, Reliability and Quality and Computational Theory and Mathematics, having authored 13 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Algorithms and Applications (7 papers), Face and Expression Recognition (5 papers), Advanced Sensor and Control Systems (4 papers), Metaheuristic Optimization Algorithms Research (3 papers), Text and Document Classification Technologies (3 papers), Industrial Technology and Control Systems (3 papers), Rough Sets and Fuzzy Logic (2 papers) and Geoscience and Mining Technology (2 papers). The work is most often cited by research in Artificial Intelligence (444 citations), Control and Systems Engineering (237 citations), Computer Vision and Pattern Recognition (212 citations), Environmental Engineering (102 citations) and Safety, Risk, Reliability and Quality (48 citations). Junzhao Yu has collaborated with scholars based in China and Taiwan. Frequent co-authors include Shifei Ding, Chunyang Su, Fengxiang Jin, Hui Li, Huajuan Huang, Xiekai Zhang, Huajuan Huang, Han Zhao, Han Zhao and Ru Nie. Their work appears in journals such as Artificial Intelligence Review, Neural Computing and Applications, International Journal of Machine Learning and Cybernetics, International Journal of Digital Content Technology and its Applications and Journal of Computers.
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.