Feifei He
Impact in
- Transportation top 5%
- Transportation Planning and Optimization
- Building and Construction top 5%
- Traffic Prediction and Management Techniques
Papers in
-
- Energy Load and Power Forecasting 4
- Electric Power System Optimization 3
-
- Water resources management and optimization 2
- Co-authors
- Guangbiao Liu (7 shared papers)Jianzhong Zhou (3 shared papers)Yuqi Yang (2 shared papers)Zhong-kai Feng (1 shared paper)Lu Ma (1 shared paper)Xuedong Yan (1 shared paper)Mo Li (2 shared papers)Zhongzheng He (5 shared papers)
- Journals
- Applied Energy (4 papers)Water (3 papers)Clinical & Experimental Immunology (1 paper)Water Resources Management (1 paper)Energy (1 paper)
- Partner nations
- China
In The Last Decade
Feifei He
13 papers receiving 666 citations
Feifei He's Hit Papers
Peers
Comparison fields: 5 of 86
- Transportation 98
- Building and Construction 148
- Energy Engineering and Power Technology 27
- Management Science and Operations Research 110
- Electrical and Electronic Engineering 386
Countries citing papers authored by Feifei He
This map shows the geographic impact of Feifei He'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 Feifei He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feifei He more than expected).
Fields of papers citing papers by Feifei He
This network shows the impact of papers produced by Feifei He. 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 Feifei He. The network helps show where Feifei He may publish in the future.
Co-authors
The 25 scholars most cited alongside Feifei He, 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 | A hybrid short-term load forecasting model based on variational mode decomposition and long short-term memory networks considering relevant factors with Bayesian optimization algorithm Hit paper breakdown → | 2019 | 279 |
| 2 | 2016 | 149 | |
| 3 | 2020 | 94 | |
| 4 | 2019 | 56 | |
| 5 | 2019 | 34 | |
| 6 | 2007 | 22 | |
| 7 | 2020 | 16 | |
| 8 | 2024 | 10 | |
| 9 | 2019 | 9 | |
| 10 | 2023 | 3 | |
| 11 | 2020 | 2 | |
| 12 | 2020 | 2 | |
| 13 | 2024 | 1 | |
| 14 | 2024 | 0 | |
| 15 | 2025 | 0 | |
| 16 | 2025 | 0 |
About Feifei He
Feifei He is a scholar working on Electrical and Electronic Engineering, Ocean Engineering, Artificial Intelligence, Water Science and Technology and Computer Networks and Communications, having authored 16 papers that have together received 677 indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (4 papers), Electric Power System Optimization (3 papers), Water resources management and optimization (2 papers), Flood Risk Assessment and Management (2 papers), Hydrological Forecasting Using AI (2 papers), Grey System Theory Applications (2 papers), Data Stream Mining Techniques (2 papers) and Hydrology and Watershed Management Studies (2 papers). The work is most often cited by research in Transportation (98 citations), Building and Construction (148 citations), Energy Engineering and Power Technology (27 citations), Management Science and Operations Research (110 citations) and Electrical and Electronic Engineering (386 citations). Feifei He has collaborated with scholars based in China. Frequent co-authors include Guangbiao Liu, Jianzhong Zhou, Yuqi Yang, Zhong-kai Feng, Lu Ma, Xuedong Yan, Mo Li, Zhongzheng He, Benjun Jia and Jianzhong Zhou. Their work appears in journals such as Applied Energy, Water, Clinical & Experimental Immunology, Water Resources Management and 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.