Ling Ji
Impact in
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- Hybrid Renewable Energy Systems
- Environmental Engineering top 2%
- Environmental Impact and Sustainability
Papers in
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- Electric Power System Optimization 14
- Integrated Energy Systems Optimization 12
- Smart Grid Energy Management 8
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- Water resources management and optimization 33
- Co-authors
- Guohe Huang (44 shared papers)Yulei Xie (43 shared papers)Dongxiao Niu (14 shared papers)Wenhao Xu (6 shared papers)Yanpeng Cai (9 shared papers)Dehong Xia (8 shared papers)Lijian Sun (7 shared papers)Zhifeng Yang (4 shared papers)
- Journals
- Journal of Cleaner Production (10 papers)Energy (8 papers)Journal of Environmental Management (5 papers)Resources Conservation and Recycling (4 papers)Sustainability (3 papers)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Ling Ji
86 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 116
- Energy Engineering and Power Technology 165
- Environmental Engineering 496
- Water Science and Technology 465
- Pollution 276
- Ocean Engineering 330
Countries citing papers authored by Ling Ji
This map shows the geographic impact of Ling Ji'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 Ling Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Ji more than expected).
Fields of papers citing papers by Ling Ji
This network shows the impact of papers produced by Ling Ji. 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 Ling Ji. The network helps show where Ling Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Ling Ji, 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 97 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 122 | |
| 2 | 2002 | 121 | |
| 3 | 2017 | 116 | |
| 4 | 2021 | 87 | |
| 5 | 2021 | 81 | |
| 6 | 2020 | 80 | |
| 7 | 2015 | 72 | |
| 8 | 2018 | 63 | |
| 9 | 2014 | 62 | |
| 10 | 2022 | 51 | |
| 11 | 2020 | 46 | |
| 12 | 2020 | 46 | |
| 13 | 2014 | 41 | |
| 14 | 2022 | 39 | |
| 15 | 2018 | 38 | |
| 16 | 2016 | 35 | |
| 17 | 2020 | 33 | |
| 18 | 2019 | 33 | |
| 19 | 2019 | 33 | |
| 20 | 2014 | 31 |
About Ling Ji
Ling Ji is a scholar working on Electrical and Electronic Engineering, Ocean Engineering, Water Science and Technology, Environmental Engineering and Pollution, having authored 97 papers that have together received 1.9k indexed citations. Recurring topics across this work include Water resources management and optimization (33 papers), Water-Energy-Food Nexus Studies (26 papers), Environmental Impact and Sustainability (17 papers), Energy and Environment Impacts (15 papers), Electric Power System Optimization (14 papers), Integrated Energy Systems Optimization (12 papers), Water Systems and Optimization (11 papers) and Smart Grid Energy Management (8 papers). The work is most often cited by research in Energy Engineering and Power Technology (165 citations), Environmental Engineering (496 citations), Water Science and Technology (465 citations), Pollution (276 citations) and Ocean Engineering (330 citations). Ling Ji has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Guohe Huang, Yulei Xie, Dongxiao Niu, Wenhao Xu, Yanpeng Cai, Dehong Xia, Lijian Sun, Zhifeng Yang, Lucheng Huang and Ernst Worrell. Their work appears in journals such as Journal of Cleaner Production, Energy, Journal of Environmental Management, Resources Conservation and Recycling and Sustainability.
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.