Wen‐Long Mo
Impact in
- Fuel Technology top 1%
- Coal and Coke Industries Research
- Catalysis top 5%
- Catalysts for Methane Reforming
- Catalysis and Oxidation Reactions
Papers in
-
- Thermochemical Biomass Conversion Processes 31
-
- Catalysis and Hydrodesulfurization Studies 12
- Co-authors
- Xing Fan (45 shared papers)Feng‐Yun Ma (25 shared papers)Yaya Ma (19 shared papers)Xian‐Yong Wei (30 shared papers)Xiaoqiang He (10 shared papers)Xian‐Yong Wei (14 shared papers)Qiang Wang (2 shared papers)Guosheng Li (5 shared papers)
In The Last Decade
Wen‐Long Mo
59 papers receiving 596 citations
Peers
Comparison fields: 5 of 59
- Fuel Technology 66
- Catalysis 172
- Geochemistry and Petrology 59
- Analytical Chemistry 72
- Ocean Engineering 94
Countries citing papers authored by Wen‐Long Mo
This map shows the geographic impact of Wen‐Long Mo'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 Wen‐Long Mo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wen‐Long Mo more than expected).
Fields of papers citing papers by Wen‐Long Mo
This network shows the impact of papers produced by Wen‐Long Mo. 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 Wen‐Long Mo. The network helps show where Wen‐Long Mo may publish in the future.
Co-authors
The 25 scholars most cited alongside Wen‐Long Mo, 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 67 | |
| 2 | 2020 | 32 | |
| 3 | 2021 | 31 | |
| 4 | 2021 | 26 | |
| 5 | 2020 | 25 | |
| 6 | 2020 | 24 | |
| 7 | 2020 | 24 | |
| 8 | 2023 | 23 | |
| 9 | 2015 | 23 | |
| 10 | 2022 | 22 | |
| 11 | 2025 | 20 | |
| 12 | 2021 | 17 | |
| 13 | 2019 | 16 | |
| 14 | 2020 | 15 | |
| 15 | 2023 | 14 | |
| 16 | 2020 | 14 | |
| 17 | 2019 | 14 | |
| 18 | 2022 | 14 | |
| 19 | 2022 | 11 | |
| 20 | 2023 | 10 |
About Wen‐Long Mo
Wen‐Long Mo is a scholar working on Biomedical Engineering, Mechanical Engineering, Materials Chemistry, Ocean Engineering and Geochemistry and Petrology, having authored 67 papers that have together received 603 indexed citations. Recurring topics across this work include Thermochemical Biomass Conversion Processes (31 papers), Coal Properties and Utilization (16 papers), Coal and Its By-products (13 papers), Catalytic Processes in Materials Science (13 papers), Catalysis and Hydrodesulfurization Studies (12 papers), Coal and Coke Industries Research (11 papers), Catalysts for Methane Reforming (10 papers) and Petroleum Processing and Analysis (9 papers). The work is most often cited by research in Fuel Technology (66 citations), Catalysis (172 citations), Geochemistry and Petrology (59 citations), Analytical Chemistry (72 citations) and Ocean Engineering (94 citations). Wen‐Long Mo has collaborated with scholars based in China, Pakistan and India. Frequent co-authors include Xing Fan, Feng‐Yun Ma, Yaya Ma, Xian‐Yong Wei, Xiaoqiang He, Xian‐Yong Wei, Qiang Wang, Guosheng Li, Jingmei Liu and Yue Wang. Their work appears in journals such as ACS Omega, Fuel, Journal of the Energy Institute, Energy & Fuels and Energy Sources Part A Recovery Utilization and Environmental Effects.
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.