Dawei Wu
Impact in
-
- Mercury impact and mitigation studies
Papers in
-
- Carbon Dioxide Capture Technologies 6
- Membrane Separation and Gas Transport 5
- Industrial Gas Emission Control 3
-
- Catalytic Processes in Materials Science 5
- Co-authors
- Jing Liu (23 shared papers)Yingju Yang (12 shared papers)Fenghua Shen (7 shared papers)Yuchen Dong (6 shared papers)Chenkai Gu (8 shared papers)Ying Zheng (4 shared papers)Jianbo Hu (5 shared papers)Zhen Zhang (3 shared papers)
- Journals
- Fuel (8 papers)Chemical Engineering Journal (4 papers)Industrial & Engineering Chemistry Research (4 papers)Energy & Fuels (2 papers)Nanomaterials (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Dawei Wu
28 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 56
- Process Chemistry and Technology 90
- Health, Toxicology and Mutagenesis 324
- Catalysis 152
- Geochemistry and Petrology 117
- Renewable Energy, Sustainability and the Environment 255
Countries citing papers authored by Dawei Wu
This map shows the geographic impact of Dawei 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 Dawei Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dawei Wu more than expected).
Fields of papers citing papers by Dawei Wu
This network shows the impact of papers produced by Dawei 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 Dawei Wu. The network helps show where Dawei Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Dawei 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 108 | |
| 2 | 2017 | 99 | |
| 3 | 2020 | 96 | |
| 4 | 2018 | 93 | |
| 5 | 2018 | 91 | |
| 6 | 2018 | 66 | |
| 7 | 2019 | 63 | |
| 8 | 2020 | 56 | |
| 9 | 2020 | 55 | |
| 10 | 2021 | 45 | |
| 11 | 2021 | 42 | |
| 12 | 2018 | 38 | |
| 13 | 2018 | 32 | |
| 14 | 2021 | 29 | |
| 15 | 2021 | 25 | |
| 16 | 2019 | 24 | |
| 17 | 2019 | 23 | |
| 18 | 2022 | 22 | |
| 19 | 2022 | 22 | |
| 20 | 2018 | 16 |
About Dawei Wu
Dawei Wu is a scholar working on Mechanical Engineering, Materials Chemistry, Health, Toxicology and Mutagenesis, Geochemistry and Petrology and Inorganic Chemistry, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Mercury impact and mitigation studies (7 papers), Carbon Dioxide Capture Technologies (6 papers), Metal-Organic Frameworks: Synthesis and Applications (5 papers), Coal and Its By-products (5 papers), Membrane Separation and Gas Transport (5 papers), Catalytic Processes in Materials Science (5 papers), Industrial Gas Emission Control (3 papers) and Phase Equilibria and Thermodynamics (3 papers). The work is most often cited by research in Process Chemistry and Technology (90 citations), Health, Toxicology and Mutagenesis (324 citations), Catalysis (152 citations), Geochemistry and Petrology (117 citations) and Renewable Energy, Sustainability and the Environment (255 citations). Dawei Wu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jing Liu, Yingju Yang, Fenghua Shen, Yuchen Dong, Chenkai Gu, Ying Zheng, Jianbo Hu, Zhen Zhang, Yang Liu and Feng Liu. Their work appears in journals such as Fuel, Chemical Engineering Journal, Industrial & Engineering Chemistry Research, Energy & Fuels and Nanomaterials.
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.