Kun Long Chen
Impact in
- Catalysis top 5%
- Catalysts for Methane Reforming
- Analytical Chemistry top 1%
- Petroleum Processing and Analysis
Papers in
-
- Petroleum Processing and Analysis 39
-
- Thermochemical Biomass Conversion Processes 27
- Co-authors
- Aijun Guo (58 shared papers)Zongxian Wang (46 shared papers)He Liu (42 shared papers)Bernard Wiafe Biney (24 shared papers)Wei Xia (23 shared papers)Somenath Mitra (4 shared papers)Weining Li (14 shared papers)Dong Wan (5 shared papers)
- Journals
- Fuel (23 papers)Journal of Analytical and Applied Pyrolysis (11 papers)Energy & Fuels (9 papers)Fuel Processing Technology (5 papers)Energy (5 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Kun Long Chen
184 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 122
- Catalysis 366
- Analytical Chemistry 338
- Fuel Technology 26
- Process Chemistry and Technology 88
- Mechanical Engineering 939
Countries citing papers authored by Kun Long Chen
This map shows the geographic impact of Kun Long 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 Kun Long Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Long Chen more than expected).
Fields of papers citing papers by Kun Long Chen
This network shows the impact of papers produced by Kun Long 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 Kun Long Chen. The network helps show where Kun Long Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun Long 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 196 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 180 | |
| 2 | 2016 | 174 | |
| 3 | 2015 | 123 | |
| 4 | 2013 | 116 | |
| 5 | 2017 | 103 | |
| 6 | 2019 | 77 | |
| 7 | 2019 | 74 | |
| 8 | 2009 | 66 | |
| 9 | 2020 | 61 | |
| 10 | 2024 | 59 | |
| 11 | 2024 | 49 | |
| 12 | 2022 | 47 | |
| 13 | 2014 | 46 | |
| 14 | 2023 | 45 | |
| 15 | 2018 | 43 | |
| 16 | 2018 | 43 | |
| 17 | 2023 | 39 | |
| 18 | 2018 | 39 | |
| 19 | 2024 | 39 | |
| 20 | 2016 | 39 |
About Kun Long Chen
Kun Long Chen is a scholar working on Analytical Chemistry, Biomedical Engineering, Mechanical Engineering, Materials Chemistry and Catalysis, having authored 196 papers that have together received 3.3k indexed citations. Recurring topics across this work include Petroleum Processing and Analysis (39 papers), Catalysis and Hydrodesulfurization Studies (27 papers), Thermochemical Biomass Conversion Processes (27 papers), Hydrocarbon exploration and reservoir analysis (26 papers), Catalytic Processes in Materials Science (22 papers), Zeolite Catalysis and Synthesis (14 papers), Enhanced Oil Recovery Techniques (13 papers) and Fiber-reinforced polymer composites (13 papers). The work is most often cited by research in Catalysis (366 citations), Analytical Chemistry (338 citations), Fuel Technology (26 citations), Process Chemistry and Technology (88 citations) and Mechanical Engineering (939 citations). Kun Long Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Aijun Guo, Zongxian Wang, He Liu, Bernard Wiafe Biney, Wei Xia, Somenath Mitra, Weining Li, Dong Wan, Qin Hu and Guanghua Wang. Their work appears in journals such as Fuel, Journal of Analytical and Applied Pyrolysis, Energy & Fuels, Fuel Processing Technology and Energy.
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.