Dan Wu
Impact in
- Catalysis top 5%
- Inorganic Chemistry top 5%
Papers in
-
- Catalytic Processes in Materials Science 12
-
- Catalysis for Biomass Conversion 12
- Lignin and Wood Chemistry 9
- Co-authors
- Fred E. Regnier (4 shared papers)Marianthi Ierapetritou (5 shared papers)Vitaly V. Ordomsky (11 shared papers)Andreï Y. Khodakov (9 shared papers)Willinton Y. Hernández (5 shared papers)Maya Marinova (4 shared papers)Vladimir L. Zholobenko (1 shared paper)Di Hu (1 shared paper)
- Journals
- Progress in Nuclear Energy (7 papers)Fluid Phase Equilibria (6 papers)Sensors and Actuators B Chemical (6 papers)Chemical Engineering Journal (4 papers)Talanta (4 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Dan Wu
139 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 124
- Catalysis 234
- Inorganic Chemistry 303
- Renewable Energy, Sustainability and the Environment 340
- Biomedical Engineering 902
- Fluid Flow and Transfer Processes 112
Countries citing papers authored by Dan Wu
This map shows the geographic impact of Dan 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 Dan Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Wu more than expected).
Fields of papers citing papers by Dan Wu
This network shows the impact of papers produced by Dan 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 Dan Wu. The network helps show where Dan Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan 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 151 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 184 | |
| 2 | 2020 | 101 | |
| 3 | 2021 | 99 | |
| 4 | 2002 | 91 | |
| 5 | 2021 | 88 | |
| 6 | 1993 | 76 | |
| 7 | 2019 | 76 | |
| 8 | 1986 | 75 | |
| 9 | 1992 | 74 | |
| 10 | 1993 | 58 | |
| 11 | 2009 | 58 | |
| 12 | 2007 | 55 | |
| 13 | 2003 | 55 | |
| 14 | 1996 | 53 | |
| 15 | 2004 | 49 | |
| 16 | 2007 | 48 | |
| 17 | 2009 | 37 | |
| 18 | 1994 | 36 | |
| 19 | 2016 | 36 | |
| 20 | 2023 | 34 |
About Dan Wu
Dan Wu is a scholar working on Materials Chemistry, Biomedical Engineering, Mechanical Engineering, Electrical and Electronic Engineering and Molecular Biology, having authored 151 papers that have together received 2.5k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (16 papers), Catalysis and Hydrodesulfurization Studies (13 papers), Catalysis for Biomass Conversion (12 papers), Catalytic Processes in Materials Science (12 papers), Heat Transfer and Boiling Studies (11 papers), Metal-Organic Frameworks: Synthesis and Applications (10 papers), Nuclear Engineering Thermal-Hydraulics (10 papers) and Lignin and Wood Chemistry (9 papers). The work is most often cited by research in Catalysis (234 citations), Inorganic Chemistry (303 citations), Renewable Energy, Sustainability and the Environment (340 citations), Biomedical Engineering (902 citations) and Fluid Flow and Transfer Processes (112 citations). Dan Wu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Fred E. Regnier, Marianthi Ierapetritou, Vitaly V. Ordomsky, Andreï Y. Khodakov, Willinton Y. Hernández, Maya Marinova, Vladimir L. Zholobenko, Di Hu, Xiang Yu and Simona Moldovan. Their work appears in journals such as Progress in Nuclear Energy, Fluid Phase Equilibria, Sensors and Actuators B Chemical, Chemical Engineering Journal and Talanta.
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.