Song Ding
Impact in
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- Grey System Theory Applications
- Diverse Interdisciplinary Research Innovations
- Forecasting Techniques and Applications
- Environmental Engineering top 2%
- Environmental Impact and Sustainability
- Air Quality Monitoring and Forecasting
Papers in
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- Grey System Theory Applications 49
- Diverse Interdisciplinary Research Innovations 8
- Forecasting Techniques and Applications 6
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- Energy Load and Power Forecasting 34
- Co-authors
- Ruojin Li (10 shared papers)Yaoguo Dang (13 shared papers)Weijie Zhou (13 shared papers)Zui Tao (5 shared papers)Keith W. Hipel (2 shared papers)Shu Wu (3 shared papers)Xiaoli Wu (3 shared papers)Jing Ye (2 shared papers)
- Journals
- Expert Systems with Applications (7 papers)Energy (6 papers)Energy Economics (4 papers)Journal of Cleaner Production (4 papers)Computers & Industrial Engineering (3 papers)
- Partner nations
- ChinaCanadaUnited Kingdom
In The Last Decade
Song Ding
70 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 103
- Management Science and Operations Research 1.7k
- Environmental Engineering 409
- Electrical and Electronic Engineering 1.4k
- Economics and Econometrics 538
- Renewable Energy, Sustainability and the Environment 180
Countries citing papers authored by Song Ding
This map shows the geographic impact of Song Ding'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 Song Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Song Ding more than expected).
Fields of papers citing papers by Song Ding
This network shows the impact of papers produced by Song Ding. 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 Song Ding. The network helps show where Song Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Song Ding, 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 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 217 | |
| 2 | 2020 | 166 | |
| 3 | 2017 | 138 | |
| 4 | 2020 | 128 | |
| 5 | 2018 | 123 | |
| 6 | 2021 | 94 | |
| 7 | 2021 | 92 | |
| 8 | 2019 | 90 | |
| 9 | 2018 | 89 | |
| 10 | 2019 | 89 | |
| 11 | 2020 | 77 | |
| 12 | 2021 | 70 | |
| 13 | 2020 | 67 | |
| 14 | 2019 | 65 | |
| 15 | 2021 | 63 | |
| 16 | 2020 | 58 | |
| 17 | 2023 | 53 | |
| 18 | 2021 | 51 | |
| 19 | 2021 | 48 | |
| 20 | 2021 | 47 |
About Song Ding
Song Ding is a scholar working on Management Science and Operations Research, Electrical and Electronic Engineering, Economics and Econometrics, Environmental Engineering and Artificial Intelligence, having authored 75 papers that have together received 2.5k indexed citations. Recurring topics across this work include Grey System Theory Applications (49 papers), Energy Load and Power Forecasting (34 papers), Energy, Environment, Economic Growth (12 papers), Solar Radiation and Photovoltaics (8 papers), Diverse Interdisciplinary Research Innovations (8 papers), Forecasting Techniques and Applications (6 papers), Environmental Impact and Sustainability (6 papers) and Air Quality Monitoring and Forecasting (3 papers). The work is most often cited by research in Management Science and Operations Research (1.7k citations), Environmental Engineering (409 citations), Electrical and Electronic Engineering (1.4k citations), Economics and Econometrics (538 citations) and Renewable Energy, Sustainability and the Environment (180 citations). Song Ding has collaborated with scholars based in China, Canada and United Kingdom. Frequent co-authors include Ruojin Li, Yaoguo Dang, Weijie Zhou, Zui Tao, Keith W. Hipel, Shu Wu, Xiaoli Wu, Jing Ye, Xuemei Li and Kai Zhao. Their work appears in journals such as Expert Systems with Applications, Energy, Energy Economics, Journal of Cleaner Production and Computers & Industrial Engineering.
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.