Xiangyi Long
Impact in
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- Catalysts for Methane Reforming
Papers in
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- Thermochemical Biomass Conversion Processes 8
- Chemical Looping and Thermochemical Processes 3
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- Fiber-reinforced polymer composites 4
- Iron and Steelmaking Processes 3
- Co-authors
- Marcos Millán (13 shared papers)N. Paterson (8 shared papers)Guanming Yuan (7 shared papers)Zhengwei Cui (7 shared papers)Zhang Jiang (5 shared papers)Ye Cong (5 shared papers)Xuanke Li (5 shared papers)C. Berrueco (4 shared papers)
- Journals
- Fuel (7 papers)Carbon (2 papers)Chemical Engineering Journal (2 papers)Electric Power Systems Research (1 paper)Journal of Water Process Engineering (1 paper)
- Partner nations
- United KingdomChinaMalaysia
In The Last Decade
Xiangyi Long
19 papers receiving 305 citations
Peers
Comparison fields: 5 of 35
- Catalysis 36
- Fuel Technology 4
- Mechanical Engineering 136
- Geochemistry and Petrology 20
- Industrial and Manufacturing Engineering 29
Countries citing papers authored by Xiangyi Long
This map shows the geographic impact of Xiangyi Long'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 Xiangyi Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiangyi Long more than expected).
Fields of papers citing papers by Xiangyi Long
This network shows the impact of papers produced by Xiangyi Long. 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 Xiangyi Long. The network helps show where Xiangyi Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiangyi Long, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 45 | |
| 2 | 2020 | 32 | |
| 3 | 2021 | 30 | |
| 4 | 2024 | 27 | |
| 5 | 2023 | 26 | |
| 6 | 2021 | 21 | |
| 7 | 2020 | 21 | |
| 8 | 2020 | 16 | |
| 9 | 2020 | 15 | |
| 10 | 2019 | 15 | |
| 11 | 2022 | 15 | |
| 12 | 2022 | 14 | |
| 13 | 2023 | 10 | |
| 14 | 2021 | 7 | |
| 15 | 2024 | 6 | |
| 16 | 2022 | 5 | |
| 17 | 2024 | 3 | |
| 18 | 2023 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2025 | 0 |
About Xiangyi Long
Xiangyi Long is a scholar working on Biomedical Engineering, Mechanical Engineering, Materials Chemistry, Catalysis and Electrical and Electronic Engineering, having authored 23 papers that have together received 310 indexed citations. Recurring topics across this work include Thermochemical Biomass Conversion Processes (8 papers), Graphene research and applications (4 papers), Fiber-reinforced polymer composites (4 papers), Supercapacitor Materials and Fabrication (3 papers), Iron and Steelmaking Processes (3 papers), Chemical Looping and Thermochemical Processes (3 papers), Nanomaterials for catalytic reactions (2 papers) and Advanced Battery Materials and Technologies (2 papers). The work is most often cited by research in Catalysis (36 citations), Fuel Technology (4 citations), Mechanical Engineering (136 citations), Geochemistry and Petrology (20 citations) and Industrial and Manufacturing Engineering (29 citations). Xiangyi Long has collaborated with scholars based in United Kingdom, China and Malaysia. Frequent co-authors include Marcos Millán, N. Paterson, Guanming Yuan, Zhengwei Cui, Zhang Jiang, Ye Cong, Xuanke Li, C. Berrueco, Jie Yu and Kagiso Bikane. Their work appears in journals such as Fuel, Carbon, Chemical Engineering Journal, Electric Power Systems Research and Journal of Water Process 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.