Bin Dai
Impact in
- Catalysis top 0.2%
- Catalysis and Oxidation Reactions
- Process Chemistry and Technology top 0.5%
- Carbon dioxide utilization in catalysis
Papers in
-
- Catalytic C–H Functionalization Methods 61
- Catalytic Cross-Coupling Reactions 57
-
- Catalytic Processes in Materials Science 131
- Co-authors
- Mingyuan Zhu (76 shared papers)Feng Yu (107 shared papers)Lihua Kang (26 shared papers)Jinli Zhang (39 shared papers)Xuhong Guo (37 shared papers)Ning Liu (34 shared papers)Ping Liu (57 shared papers)Xugen Wang (20 shared papers)
- Journals
- RSC Advances (30 papers)Catalysts (18 papers)Chinese Chemical Letters (15 papers)Tetrahedron (15 papers)Chemical Engineering Journal (13 papers)
- Partner nations
- ChinaPolandUnited States
In The Last Decade
Bin Dai
535 papers receiving 12.6k citations
Bin Dai's Hit Papers
Peers
Comparison fields: 5 of 167
- Catalysis 2.3k
- Process Chemistry and Technology 825
- Organic Chemistry 3.9k
- Renewable Energy, Sustainability and the Environment 2.2k
- Materials Chemistry 5.3k
Countries citing papers authored by Bin Dai
This map shows the geographic impact of Bin Dai'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 Bin Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Dai more than expected).
Fields of papers citing papers by Bin Dai
This network shows the impact of papers produced by Bin Dai. 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 Bin Dai. The network helps show where Bin Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Dai, 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 547 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 218 | |
| 2 | 2018 | 211 | |
| 3 | 2015 | 167 | |
| 4 | 2018 | 165 | |
| 5 | 2013 | 155 | |
| 6 | 2014 | 152 | |
| 7 | 2014 | 149 | |
| 8 | 2014 | 137 | |
| 9 | 2017 | 137 | |
| 10 | 2016 | 133 | |
| 11 | 2015 | 132 | |
| 12 | 2011 | 118 | |
| 13 | 2015 | 116 | |
| 14 | 2015 | 115 | |
| 15 | 2017 | 115 | |
| 16 | 2014 | 114 | |
| 17 | 2019 | 112 | |
| 18 | 2017 | 107 | |
| 19 | 2016 | 105 | |
| 20 | 2020 | 104 |
About Bin Dai
Bin Dai is a scholar working on Organic Chemistry, Materials Chemistry, Catalysis, Renewable Energy, Sustainability and the Environment and Biomedical Engineering, having authored 547 papers that have together received 12.8k indexed citations. Recurring topics across this work include Catalytic Processes in Materials Science (131 papers), Catalysis and Oxidation Reactions (61 papers), Catalytic C–H Functionalization Methods (61 papers), Catalytic Cross-Coupling Reactions (57 papers), Advanced Photocatalysis Techniques (39 papers), Catalysis and Hydrodesulfurization Studies (38 papers), Catalysts for Methane Reforming (37 papers) and Catalysis for Biomass Conversion (35 papers). The work is most often cited by research in Catalysis (2.3k citations), Process Chemistry and Technology (825 citations), Organic Chemistry (3.9k citations), Renewable Energy, Sustainability and the Environment (2.2k citations) and Materials Chemistry (5.3k citations). Bin Dai has collaborated with scholars based in China, Poland and United States. Frequent co-authors include Mingyuan Zhu, Feng Yu, Lihua Kang, Jinli Zhang, Xuhong Guo, Ning Liu, Ping Liu, Xugen Wang, Lin He and Cunhua Ma. Their work appears in journals such as RSC Advances, Catalysts, Chinese Chemical Letters, Tetrahedron and Chemical Engineering Journal.
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.