Ping Jiang
Impact in
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- Grey System Theory Applications
- Stock Market Forecasting Methods
Papers in
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- Energy Load and Power Forecasting 30
- Electric Power System Optimization 16
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- Grey System Theory Applications 17
- Stock Market Forecasting Methods 5
- Co-authors
- Zhenkun Liu (8 shared papers)Lifang Zhang (5 shared papers)Xinsong Niu (3 shared papers)Ranran Li (5 shared papers)Jianzhou Wang (4 shared papers)Hufang Yang (5 shared papers)Xuejiao Ma (4 shared papers)Jianzhou Wang (5 shared papers)
- Journals
- Applied Energy (5 papers)Energy (5 papers)Applied Mathematical Modelling (3 papers)Neural Computing and Applications (3 papers)Energies (2 papers)
- Partner nations
- ChinaMacaoUnited Kingdom
In The Last Decade
Ping Jiang
44 papers receiving 2.4k citations
Ping Jiang's Hit Papers
Peers
Comparison fields: 5 of 107
- Management Science and Operations Research 713
- Energy Engineering and Power Technology 114
- Electrical and Electronic Engineering 1.8k
- Environmental Engineering 379
- Artificial Intelligence 757
Countries citing papers authored by Ping Jiang
This map shows the geographic impact of Ping Jiang'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 Ping Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping Jiang more than expected).
Fields of papers citing papers by Ping Jiang
This network shows the impact of papers produced by Ping Jiang. 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 Ping Jiang. The network helps show where Ping Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ping Jiang, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A combined forecasting model for time series: Application to short-term wind speed forecasting Hit paper breakdown → | 2019 | 253 |
| 2 | 2020 | 191 | |
| 3 | 2015 | 147 | |
| 4 | 2021 | 141 | |
| 5 | 2018 | 139 | |
| 6 | 2016 | 117 | |
| 7 | 2020 | 110 | |
| 8 | 2018 | 107 | |
| 9 | 2016 | 104 | |
| 10 | 2019 | 97 | |
| 11 | 2020 | 89 | |
| 12 | 2016 | 89 | |
| 13 | 2021 | 87 | |
| 14 | 2020 | 78 | |
| 15 | 2016 | 70 | |
| 16 | 2020 | 57 | |
| 17 | 2019 | 51 | |
| 18 | 2017 | 49 | |
| 19 | 2019 | 48 | |
| 20 | 2022 | 47 |
About Ping Jiang
Ping Jiang is a scholar working on Electrical and Electronic Engineering, Management Science and Operations Research, Artificial Intelligence, Economics and Econometrics and Environmental Engineering, having authored 44 papers that have together received 2.5k indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (30 papers), Grey System Theory Applications (17 papers), Electric Power System Optimization (16 papers), Solar Radiation and Photovoltaics (6 papers), Stock Market Forecasting Methods (5 papers), Wind Energy Research and Development (4 papers), Market Dynamics and Volatility (3 papers) and Environmental Impact and Sustainability (2 papers). The work is most often cited by research in Management Science and Operations Research (713 citations), Energy Engineering and Power Technology (114 citations), Electrical and Electronic Engineering (1.8k citations), Environmental Engineering (379 citations) and Artificial Intelligence (757 citations). Ping Jiang has collaborated with scholars based in China, Macao and United Kingdom. Frequent co-authors include Zhenkun Liu, Lifang Zhang, Xinsong Niu, Ranran Li, Jianzhou Wang, Hufang Yang, Xuejiao Ma, Jianzhou Wang, Hongmin Li and Yun Wang. Their work appears in journals such as Applied Energy, Energy, Applied Mathematical Modelling, Neural Computing and Applications and Energies.
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.