Binbin Yong
Impact in
-
- Hybrid Renewable Energy Systems
- Pollution top 10%
- Energy and Environment Impacts
Papers in
-
- Energy Load and Power Forecasting 16
-
- Neural Networks and Applications 7
- Solar Radiation and Photovoltaics 5
- Co-authors
- Qingguo Zhou (29 shared papers)Jun Shen (29 shared papers)Vigna K. Ramachandaramurthy (3 shared papers)Rajparthiban Kumar Rajkumar (3 shared papers)Fucun Li (8 shared papers)Huaming Chen (7 shared papers)Xin Liu (2 shared papers)Qingguo Zhou (6 shared papers)
- Journals
- Energy (2 papers)IEEE Access (2 papers)Journal of Industrial Information Integration (1 paper)Solar Energy (1 paper)Tsinghua Science & Technology (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Binbin Yong
37 papers receiving 824 citations
Binbin Yong's Hit Papers
Peers
Comparison fields: 5 of 101
- Energy Engineering and Power Technology 149
- Pollution 96
- Information Systems 190
- Artificial Intelligence 211
- Management Information Systems 57
Countries citing papers authored by Binbin Yong
This map shows the geographic impact of Binbin Yong'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 Binbin Yong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Binbin Yong more than expected).
Fields of papers citing papers by Binbin Yong
This network shows the impact of papers produced by Binbin Yong. 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 Binbin Yong. The network helps show where Binbin Yong may publish in the future.
Co-authors
The 25 scholars most cited alongside Binbin Yong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | An intelligent blockchain-based system for safe vaccine supply and supervision Hit paper breakdown → | 2019 | 203 |
| 2 | 2011 | 167 | |
| 3 | 2018 | 114 | |
| 4 | 2020 | 50 | |
| 5 | 2020 | 36 | |
| 6 | 2019 | 33 | |
| 7 | 2024 | 30 | |
| 8 | 2020 | 26 | |
| 9 | 2016 | 23 | |
| 10 | 2019 | 20 | |
| 11 | 2019 | 20 | |
| 12 | 2020 | 17 | |
| 13 | 2016 | 14 | |
| 14 | 2019 | 14 | |
| 15 | 2022 | 7 | |
| 16 | 2019 | 7 | |
| 17 | 2020 | 6 | |
| 18 | 2010 | 6 | |
| 19 | 2024 | 5 | |
| 20 | 2017 | 5 |
About Binbin Yong
Binbin Yong is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering and Management Science and Operations Research, having authored 42 papers that have together received 849 indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (16 papers), Neural Networks and Applications (7 papers), Solar Radiation and Photovoltaics (5 papers), Grey System Theory Applications (5 papers), Traffic Prediction and Management Techniques (4 papers), Advanced Neural Network Applications (3 papers), EEG and Brain-Computer Interfaces (3 papers) and Photovoltaic System Optimization Techniques (3 papers). The work is most often cited by research in Energy Engineering and Power Technology (149 citations), Pollution (96 citations), Information Systems (190 citations), Artificial Intelligence (211 citations) and Management Information Systems (57 citations). Binbin Yong has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Qingguo Zhou, Jun Shen, Vigna K. Ramachandaramurthy, Rajparthiban Kumar Rajkumar, Fucun Li, Huaming Chen, Xin Liu, Qingguo Zhou, Yuexing Peng and Yonghui Li. Their work appears in journals such as Energy, IEEE Access, Journal of Industrial Information Integration, Solar Energy and Tsinghua Science & Technology.
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.