Lining Wu
Impact in
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- Hybrid Renewable Energy Systems
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- Catalysts for Methane Reforming
Papers in ⓘ
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- Anesthesia and Neurotoxicity Research 3
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- Airway Management and Intubation Techniques 2
- Co-authors
- Peiyuan Pan (9 shared papers)Heng Chen (9 shared papers)Gang Xu (7 shared papers)Wenchao Li (5 shared papers)Jun‐Ma Yu (7 shared papers)Honggang Chen (1 shared paper)Tongyu Li (1 shared paper)Jinjun Wang (1 shared paper)
- Journals
- Energy (4 papers)Energy Conversion and Management (4 papers)Applied Thermal Engineering (1 paper)Journal of Cellular Biochemistry (1 paper)International Journal of Cardiology (1 paper)
- Partner nations
- ChinaFranceUnited States
In The Last Decade
Lining Wu
26 papers receiving 330 citations
Peers
Comparison fields: 5 of 101
- Energy Engineering and Power Technology 26
- Catalysis 51
- Anesthesiology and Pain Medicine 21
- Biomedical Engineering 114
- Industrial and Manufacturing Engineering 21
Countries citing papers authored by Lining Wu
This map shows the geographic impact of Lining Wu'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 Lining Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lining Wu more than expected).
Fields of papers citing papers by Lining Wu
This network shows the impact of papers produced by Lining Wu. 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 Lining Wu. The network helps show where Lining Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Lining Wu, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 62 | |
| 2 | 2023 | 31 | |
| 3 | 2023 | 26 | |
| 4 | 2023 | 24 | |
| 5 | 2024 | 24 | |
| 6 | 2023 | 23 | |
| 7 | 2023 | 21 | |
| 8 | 2023 | 18 | |
| 9 | 2023 | 17 | |
| 10 | 2019 | 15 | |
| 11 | 2023 | 15 | |
| 12 | 2020 | 12 | |
| 13 | 2022 | 9 | |
| 14 | 2020 | 7 | |
| 15 | 2019 | 6 | |
| 16 | 2024 | 4 | |
| 17 | 2021 | 4 | |
| 18 | 2020 | 4 | |
| 19 | 2019 | 3 | |
| 20 | 2024 | 3 |
About Lining Wu
Lining Wu is a scholar working on Developmental Neuroscience, Anesthesiology and Pain Medicine, Energy Engineering and Power Technology, Pathology and Forensic Medicine and Pollution, having authored 26 papers that have together received 340 indexed citations. Recurring topics across this work include Thermochemical Biomass Conversion Processes (6 papers), Chemical Looping and Thermochemical Processes (4 papers), Thermodynamic and Exergetic Analyses of Power and Cooling Systems (4 papers), Cardiac Ischemia and Reperfusion (4 papers), Anesthesia and Neurotoxicity Research (3 papers), Energy and Environment Impacts (3 papers), Long-Term Effects of COVID-19 (2 papers) and Airway Management and Intubation Techniques (2 papers). The work is most often cited by research in Energy Engineering and Power Technology (26 citations), Catalysis (51 citations), Anesthesiology and Pain Medicine (21 citations), Biomedical Engineering (114 citations) and Industrial and Manufacturing Engineering (21 citations). Lining Wu has collaborated with scholars based in China, France and United States. Frequent co-authors include Peiyuan Pan, Heng Chen, Gang Xu, Wenchao Li, Jun‐Ma Yu, Honggang Chen, Tongyu Li, Jinjun Wang, Gang Xu and Jun Liu. Their work appears in journals such as Energy, Energy Conversion and Management, Applied Thermal Engineering, Journal of Cellular Biochemistry and International Journal of Cardiology.
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.