Long Wang
Impact in
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- Advancements in Battery Materials
- Advanced Battery Materials and Technologies
- Energy Load and Power Forecasting
- Advanced battery technologies research
- Automotive Engineering top 1%
- Advanced Battery Technologies Research
Papers in
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- Energy Load and Power Forecasting 20
- Electric Power System Optimization 9
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- Solar Radiation and Photovoltaics 15
- Co-authors
- Zijun Zhang (26 shared papers)John B. Goodenough (4 shared papers)Chao Huang (51 shared papers)Jinguang Cheng (3 shared papers)Yuhao Lu (3 shared papers)Xiong Luo (43 shared papers)Maowen Xu (2 shared papers)Jue Liu (2 shared papers)
- Journals
- IEEE Internet of Things Journal (6 papers)Frontiers in Energy Research (5 papers)IEEE Access (5 papers)Optik (5 papers)IEEE Transactions on Power Systems (3 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Long Wang
204 papers receiving 6.9k citations
Long Wang's Hit Papers
Peers
Comparison fields: 5 of 166
- Electrical and Electronic Engineering 3.8k
- Automotive Engineering 702
- Control and Systems Engineering 995
- Energy Engineering and Power Technology 123
- Artificial Intelligence 1.3k
Countries citing papers authored by Long Wang
This map shows the geographic impact of Long Wang'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 Long Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Wang more than expected).
Fields of papers citing papers by Long Wang
This network shows the impact of papers produced by Long Wang. 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 Long Wang. The network helps show where Long Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Long Wang, 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 218 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Prussian blue: a new framework of electrode materials for sodium batteries Hit paper breakdown → | 2012 | 1044 |
| 2 | A Superior Low‐Cost Cathode for a Na‐Ion Battery Hit paper breakdown → | 2013 | 790 |
| 3 | Wind Turbine Gearbox Failure Identification With Deep Neural Networks Hit paper breakdown → | 2016 | 301 |
| 4 | 2017 | 243 | |
| 5 | 2018 | 226 | |
| 6 | 2008 | 221 | |
| 7 | 2017 | 187 | |
| 8 | 2020 | 183 | |
| 9 | 2020 | 171 | |
| 10 | 2016 | 163 | |
| 11 | 2016 | 143 | |
| 12 | 2018 | 122 | |
| 13 | 2017 | 119 | |
| 14 | 2013 | 103 | |
| 15 | 2013 | 93 | |
| 16 | 2018 | 93 | |
| 17 | 2021 | 92 | |
| 18 | 2018 | 88 | |
| 19 | 2017 | 84 | |
| 20 | 2018 | 79 |
About Long Wang
Long Wang is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Control and Systems Engineering, Computer Vision and Pattern Recognition and Renewable Energy, Sustainability and the Environment, having authored 218 papers that have together received 7.1k indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (20 papers), Photovoltaic System Optimization Techniques (18 papers), Solar Radiation and Photovoltaics (15 papers), Machine Fault Diagnosis Techniques (15 papers), Microgrid Control and Optimization (12 papers), Electric Power System Optimization (9 papers), Industrial Vision Systems and Defect Detection (8 papers) and Advanced Neural Network Applications (8 papers). The work is most often cited by research in Electrical and Electronic Engineering (3.8k citations), Automotive Engineering (702 citations), Control and Systems Engineering (995 citations), Energy Engineering and Power Technology (123 citations) and Artificial Intelligence (1.3k citations). Long Wang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Zijun Zhang, John B. Goodenough, Chao Huang, Jinguang Cheng, Yuhao Lu, Xiong Luo, Maowen Xu, Jue Liu, Dawei Zhang and Jia Xu. Their work appears in journals such as IEEE Internet of Things Journal, Frontiers in Energy Research, IEEE Access, Optik and IEEE Transactions on Power 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.