Long Yan
Impact in
- Catalysis top 1%
-
- Advanced Photocatalysis Techniques
- Electrocatalysts for Energy Conversion
Papers in ⓘ
-
- ZnO doping and properties 27
- Carbon Nanotubes in Composites 20
- Catalysis 27
- Co-authors
- Yao Fu (12 shared papers)Guangyin Fan (30 shared papers)Shuyan Song (17 shared papers)Lanlan Wu (11 shared papers)Hongjie Zhang (16 shared papers)Qishun Wang (9 shared papers)Hefei Huang (22 shared papers)Qian Yao (1 shared paper)
- Journals
- Green Chemistry (10 papers)Fuel (9 papers)Journal of Materials Science Materials in Electronics (8 papers)Journal of Nuclear Materials (8 papers)Journal of Alloys and Compounds (7 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Long Yan
419 papers receiving 8.3k citations
Peers
Comparison fields: 5 of 187
- Catalysis 821
- Renewable Energy, Sustainability and the Environment 1.6k
- Materials Chemistry 3.7k
- Process Chemistry and Technology 157
- Ceramics and Composites 301
Countries citing papers authored by Long Yan
This map shows the geographic impact of Long Yan'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 Long Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Yan more than expected).
Fields of papers citing papers by Long Yan
This network shows the impact of papers produced by Long Yan. 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 Long Yan. The network helps show where Long Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Long Yan, 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 449 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 261 | |
| 2 | 2017 | 202 | |
| 3 | 2020 | 189 | |
| 4 | 2014 | 171 | |
| 5 | 2019 | 157 | |
| 6 | 2018 | 156 | |
| 7 | 2016 | 140 | |
| 8 | 2011 | 140 | |
| 9 | 2017 | 134 | |
| 10 | 2018 | 130 | |
| 11 | 2018 | 127 | |
| 12 | 2015 | 118 | |
| 13 | 2021 | 99 | |
| 14 | 2016 | 94 | |
| 15 | 2017 | 87 | |
| 16 | 2021 | 83 | |
| 17 | 2020 | 82 | |
| 18 | 2022 | 80 | |
| 19 | 2021 | 78 | |
| 20 | 2019 | 77 |
About Long Yan
Long Yan is a scholar working on Materials Chemistry, Catalysis, Renewable Energy, Sustainability and the Environment, Condensed Matter Physics and Ceramics and Composites, having authored 449 papers that have together received 8.4k indexed citations. Recurring topics across this work include Advanced Photocatalysis Techniques (32 papers), Ion-surface interactions and analysis (31 papers), GaN-based semiconductor devices and materials (27 papers), ZnO doping and properties (27 papers), Catalysis and Hydrodesulfurization Studies (24 papers), Catalysis for Biomass Conversion (23 papers), Ga2O3 and related materials (22 papers) and Carbon Nanotubes in Composites (20 papers). The work is most often cited by research in Catalysis (821 citations), Renewable Energy, Sustainability and the Environment (1.6k citations), Materials Chemistry (3.7k citations), Process Chemistry and Technology (157 citations) and Ceramics and Composites (301 citations). Long Yan has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yao Fu, Guangyin Fan, Shuyan Song, Lanlan Wu, Hongjie Zhang, Qishun Wang, Hefei Huang, Qian Yao, Yumei Peng and Yao‐Bing Huang. Their work appears in journals such as Green Chemistry, Fuel, Journal of Materials Science Materials in Electronics, Journal of Nuclear Materials and Journal of Alloys and Compounds.
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.