Yonghong Luo
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Signal Processing top 5%
- Control and Systems Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Xiangrui CaiXiaojie YuanYing ZhangLipeng ZhuJun XuChao LüJie SongWenjie Zhang
- Topics
- Power System Optimization and Stability (8 papers)Optimal Power Flow Distribution (5 papers)Time Series Analysis and Forecasting (4 papers)
- Journals
- IEEE Transactions on Power SystemsIEEE Transactions on Industrial InformaticsIEEE Transactions on Neural Networks and Learning Systems
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Yonghong Luo
17 papers receiving 553 citations
Peers
Comparison fields: 5 of 85
- Artificial Intelligence 257
- Electrical and Electronic Engineering 200
- Signal Processing 139
- Control and Systems Engineering 110
- Computer Vision and Pattern Recognition 75
Countries citing papers authored by Yonghong Luo
This map shows the geographic impact of Yonghong Luo'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 Yonghong Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yonghong Luo more than expected).
Fields of papers citing papers by Yonghong Luo
This network shows the impact of papers produced by Yonghong Luo. 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 Yonghong Luo. The network helps show where Yonghong Luo may publish in the future.
Co-authorship network of co-authors of Yonghong Luo
This figure shows the co-authorship network connecting the top 25 collaborators of Yonghong Luo. A scholar is included among the top collaborators of Yonghong Luo 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 Yonghong Luo. Yonghong Luo 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 | 2 | |
| 3 | 1 | |
| 4 | 27 | |
| 5 | 19 | |
| 6 | 26 | |
| 7 | 57 | |
| 8 | 25 | |
| 9 | 79 | |
| 10 | 2 | |
| 11 | 130 | |
| 12 | 2 | |
| 13 | 5 | |
| 14 | Multivariate Time Series Imputation with Generative Adversarial Networks | 189 |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 0 | |
| 18 | 0 | |
| 19 | Fuzzy clustering based on predator prey particle swarm optimization | 1 |
About Yonghong Luo
Yonghong Luo is a scholar working on Energy Engineering and Power Technology, Signal Processing and Safety, Risk, Reliability and Quality, having authored 19 papers that have together received 568 indexed citations. Recurring topics across this work include Power System Optimization and Stability (8 papers), Optimal Power Flow Distribution (5 papers) and Time Series Analysis and Forecasting (4 papers). The work is most often cited by research in Signal Processing (139 citations), Artificial Intelligence (257 citations) and Computational Mathematics (4 citations). Yonghong Luo has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xiangrui Cai, Xiaojie Yuan, Ying Zhang, Lipeng Zhu, Jun Xu, Ying Zhang, Chao Lü, Jie Song, Wenjie Zhang and Dipti Srinivasan. Their work appears in journals such as IEEE Transactions on Power Systems, IEEE Transactions on Industrial Informatics and IEEE Transactions on Neural Networks and Learning Systems.
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.