Ruyi Dong
Impact in
- Artificial Intelligence top 10%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Machine Learning and ELM
-
- Advanced Multi-Objective Optimization Algorithms
Papers in
-
- Electric Power System Optimization 6
- Energy Load and Power Forecasting 5
- Power Systems and Technologies 2
-
- Metaheuristic Optimization Algorithms Research 5
- Co-authors
- Shengsheng Wang (10 shared papers)Huiling Chen (6 shared papers)Ali Asghar Heidari (6 shared papers)Hamza Turabieh (1 shared paper)Majdi Mafarja (1 shared paper)Long Ma (2 shared papers)Xinying Wang (1 shared paper)Guangyao Wang (1 shared paper)
- Journals
- Frontiers in Neuroinformatics (1 paper)Journal of Computational Design and Engineering (1 paper)International Journal of Electrical Power & Energy Systems (1 paper)Frontiers in Energy Research (1 paper)Knowledge-Based Systems (1 paper)
- Partner nations
- ChinaIranSaudi Arabia
In The Last Decade
Ruyi Dong
16 papers receiving 311 citations
Peers
Comparison fields: 5 of 75
- Artificial Intelligence 139
- Computational Theory and Mathematics 57
- Energy Engineering and Power Technology 11
- Computer Vision and Pattern Recognition 37
- Media Technology 15
Countries citing papers authored by Ruyi Dong
This map shows the geographic impact of Ruyi Dong'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 Ruyi Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruyi Dong more than expected).
Fields of papers citing papers by Ruyi Dong
This network shows the impact of papers produced by Ruyi Dong. 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 Ruyi Dong. The network helps show where Ruyi Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Ruyi Dong, 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 | 2021 | 107 | |
| 2 | 2023 | 38 | |
| 3 | 2020 | 37 | |
| 4 | 2020 | 33 | |
| 5 | 2023 | 21 | |
| 6 | 2018 | 20 | |
| 7 | 2019 | 18 | |
| 8 | 2023 | 11 | |
| 9 | 2024 | 9 | |
| 10 | 2023 | 8 | |
| 11 | 2019 | 7 | |
| 12 | 2019 | 3 | |
| 13 | 2023 | 2 | |
| 14 | 2019 | 2 | |
| 15 | 2018 | 1 | |
| 16 | 2020 | 1 |
About Ruyi Dong
Ruyi Dong is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Computational Theory and Mathematics, Molecular Biology and Computer Vision and Pattern Recognition, having authored 16 papers that have together received 318 indexed citations. Recurring topics across this work include Electric Power System Optimization (6 papers), Metaheuristic Optimization Algorithms Research (5 papers), Energy Load and Power Forecasting (5 papers), Advanced Multi-Objective Optimization Algorithms (4 papers), Robotic Path Planning Algorithms (2 papers), Power Systems and Technologies (2 papers), Power Systems and Renewable Energy (2 papers) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Artificial Intelligence (139 citations), Computational Theory and Mathematics (57 citations), Energy Engineering and Power Technology (11 citations), Computer Vision and Pattern Recognition (37 citations) and Media Technology (15 citations). Ruyi Dong has collaborated with scholars based in China, Iran and Saudi Arabia. Frequent co-authors include Shengsheng Wang, Huiling Chen, Ali Asghar Heidari, Hamza Turabieh, Majdi Mafarja, Long Ma, Xinying Wang, Guangyao Wang, Yanan Liu and Juanjuan Wang. Their work appears in journals such as Frontiers in Neuroinformatics, Journal of Computational Design and Engineering, International Journal of Electrical Power & Energy Systems, Frontiers in Energy Research and Knowledge-Based 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.