Shijun Chen
Impact in
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- Hybrid Renewable Energy Systems
- Ocean Engineering top 2%
- Enhanced Oil Recovery Techniques
Papers in
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- Electric Power System Optimization 20
- Smart Grid Energy Management 11
- Energy Load and Power Forecasting 9
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- Water resources management and optimization 17
- Enhanced Oil Recovery Techniques 9
- Co-authors
- Weibin Huang (33 shared papers)Guangwen Ma (29 shared papers)Jidong Li (3 shared papers)Lu Gao (1 shared paper)Xing Liu (1 shared paper)Gang Chen (12 shared papers)Yanlong Hu (5 shared papers)Shuai Zhang (2 shared papers)
- Journals
- Journal of Cleaner Production (3 papers)Journal of Hydrology (3 papers)Energy (2 papers)Water Policy (2 papers)Journal of CO2 Utilization (2 papers)
- Partner nations
- ChinaUnited KingdomUkraine
In The Last Decade
Shijun Chen
122 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 151
- Energy Engineering and Power Technology 115
- Ocean Engineering 225
- Microbiology 77
- Water Science and Technology 146
- Environmental Engineering 144
Countries citing papers authored by Shijun Chen
This map shows the geographic impact of Shijun Chen'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 Shijun Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shijun Chen more than expected).
Fields of papers citing papers by Shijun Chen
This network shows the impact of papers produced by Shijun Chen. 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 Shijun Chen. The network helps show where Shijun Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Shijun Chen, 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 145 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 212 | |
| 2 | 2018 | 62 | |
| 3 | 2021 | 59 | |
| 4 | 2016 | 57 | |
| 5 | 2009 | 54 | |
| 6 | 2018 | 44 | |
| 7 | 2024 | 39 | |
| 8 | 2023 | 38 | |
| 9 | 2017 | 31 | |
| 10 | 2020 | 28 | |
| 11 | 2018 | 28 | |
| 12 | 2014 | 27 | |
| 13 | 2020 | 25 | |
| 14 | 2004 | 25 | |
| 15 | 2020 | 24 | |
| 16 | 2021 | 23 | |
| 17 | 2023 | 23 | |
| 18 | 2023 | 23 | |
| 19 | 2018 | 20 | |
| 20 | 2019 | 20 |
About Shijun Chen
Shijun Chen is a scholar working on Electrical and Electronic Engineering, Ocean Engineering, Water Science and Technology, Artificial Intelligence and Civil and Structural Engineering, having authored 145 papers that have together received 1.4k indexed citations. Recurring topics across this work include Electric Power System Optimization (20 papers), Water resources management and optimization (17 papers), Water-Energy-Food Nexus Studies (13 papers), Smart Grid Energy Management (11 papers), Energy Load and Power Forecasting (9 papers), Enhanced Oil Recovery Techniques (9 papers), Petroleum Processing and Analysis (8 papers) and Antimicrobial Peptides and Activities (8 papers). The work is most often cited by research in Energy Engineering and Power Technology (115 citations), Ocean Engineering (225 citations), Microbiology (77 citations), Water Science and Technology (146 citations) and Environmental Engineering (144 citations). Shijun Chen has collaborated with scholars based in China, United Kingdom and Ukraine. Frequent co-authors include Weibin Huang, Guangwen Ma, Jidong Li, Lu Gao, Xing Liu, Gang Chen, Yanlong Hu, Shuai Zhang, Xuefan Gu and Jing Wang. Their work appears in journals such as Journal of Cleaner Production, Journal of Hydrology, Energy, Water Policy and Journal of CO2 Utilization.
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.