Huiru Zhao
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- Grey System Theory Applications 14
- Multi-Criteria Decision Making 12
- Environmental Engineering top 2%
- Environmental Impact and Sustainability 14
- Automotive Engineering top 2%
- Strategy and Management top 5%
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- Energy Load and Power Forecasting 26
- Smart Grid Energy Management 24
- Electric Power System Optimization 23
- Integrated Energy Systems Optimization 17
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- Energy, Environment, Economic Growth 18
- Cited by
- Management Science and Operations ResearchEnergy Engineering and Power TechnologyEnvironmental Engineering
- Journals
- Renewable and Sustainable Energy Reviews (1 paper)Journal of Cleaner Production (6 papers)Applied Energy (4 papers)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Huiru Zhao
99 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Management Science and Operations Research 972
- Energy Engineering and Power Technology 226
- Environmental Engineering 472
- Automotive Engineering 357
- Strategy and Management 395
Countries citing papers authored by Huiru Zhao
This map shows the geographic impact of Huiru Zhao'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 Huiru Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huiru Zhao more than expected).
Fields of papers citing papers by Huiru Zhao
This network shows the impact of papers produced by Huiru Zhao. 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 Huiru Zhao. The network helps show where Huiru Zhao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Huiru Zhao, 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 | 2025 | 3 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 9 | |
| 4 | 2023 | 7 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 14 | |
| 7 | 2022 | 21 | |
| 8 | 2022 | 11 | |
| 9 | 2022 | 15 | |
| 10 | 2022 | 28 | |
| 11 | 2022 | 13 | |
| 12 | 2022 | 13 | |
| 13 | 2022 | 108 | |
| 14 | 2021 | 17 | |
| 15 | 2020 | 3 | |
| 16 | 2020 | 29 | |
| 17 | Optimal site selection of electric vehicle charging station by using fuzzy TOPSIS based on sustainability perspectivebreakdown → | 2015 | 364 |
| 18 | 2012 | 1 | |
| 19 | 2011 | 1 | |
| 20 | The research on economic loss of power quality disturbances by econometric model | 2010 | 0 |
About Huiru Zhao
Huiru Zhao is a scholar working on Energy Engineering and Power Technology, Ecological Modeling and Management Science and Operations Research, having authored 105 papers that have together received 3.4k indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (26 papers), Smart Grid Energy Management (24 papers), Electric Power System Optimization (23 papers), Energy, Environment, Economic Growth (18 papers), Integrated Energy Systems Optimization (17 papers), Environmental Impact and Sustainability (14 papers), Grey System Theory Applications (14 papers) and Multi-Criteria Decision Making (12 papers). The work is most often cited by research in Management Science and Operations Research (972 citations), Energy Engineering and Power Technology (226 citations) and Environmental Engineering (472 citations). Huiru Zhao has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Sen Guo, Sen Guo, Haoran Zhao, Bingkang Li, Yuwei Wang, Xuejie Wang, Yihang Zhao, Hao Lu, Bao Wang and Hongze Li. Their work appears in journals such as Renewable and Sustainable Energy Reviews, Journal of Cleaner Production and Applied Energy.
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.