Xiaoping Dai
Impact in
-
- Electrocatalysts for Energy Conversion
- Catalysis top 2%
- Catalysts for Methane Reforming
Papers in
-
- Electrocatalysts for Energy Conversion 85
- Catalysis 18
- Catalysts for Methane Reforming 18
- Co-authors
- Xin Zhang (53 shared papers)Hui Sun (23 shared papers)Xin Zhang (19 shared papers)Ying Kui Yang (12 shared papers)Yao Wang (25 shared papers)Zhanzhao Li (10 shared papers)Mengzhao Liu (9 shared papers)Yangde Ma (10 shared papers)
- Journals
- Proteins Structure Function and Bioinformatics (28 papers)Journal of Materials Chemistry A (13 papers)Nano Research (10 papers)Electrochimica Acta (8 papers)Dalton Transactions (7 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xiaoping Dai
209 papers receiving 7.6k citations
Peers
Comparison fields: 5 of 110
- Renewable Energy, Sustainability and the Environment 4.1k
- Catalysis 339
- Virology 209
- Hepatology 267
- Inorganic Chemistry 274
Countries citing papers authored by Xiaoping Dai
This map shows the geographic impact of Xiaoping 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 Xiaoping Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoping Dai more than expected).
Fields of papers citing papers by Xiaoping Dai
This network shows the impact of papers produced by Xiaoping 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 Xiaoping Dai. The network helps show where Xiaoping Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoping 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 220 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1990 | 490 | |
| 2 | 2015 | 458 | |
| 3 | 2013 | 339 | |
| 4 | 2014 | 310 | |
| 5 | 2018 | 203 | |
| 6 | 2021 | 183 | |
| 7 | 2019 | 164 | |
| 8 | 2016 | 134 | |
| 9 | 2015 | 129 | |
| 10 | 2017 | 123 | |
| 11 | 2016 | 118 | |
| 12 | 2015 | 114 | |
| 13 | 2018 | 113 | |
| 14 | 2019 | 110 | |
| 15 | 2019 | 105 | |
| 16 | 2013 | 102 | |
| 17 | 2016 | 96 | |
| 18 | 2018 | 87 | |
| 19 | 2018 | 86 | |
| 20 | 2015 | 83 |
About Xiaoping Dai
Xiaoping Dai is a scholar working on Renewable Energy, Sustainability and the Environment, Catalysis, Electrical and Electronic Engineering, Materials Chemistry and Inorganic Chemistry, having authored 220 papers that have together received 7.8k indexed citations. Recurring topics across this work include Electrocatalysts for Energy Conversion (85 papers), Silicon Carbide Semiconductor Technologies (43 papers), Enzyme Structure and Function (29 papers), Catalysts for Methane Reforming (18 papers), Electronic Packaging and Soldering Technologies (6 papers), Metal-Organic Frameworks: Synthesis and Applications (6 papers), Chemical Looping and Thermochemical Processes (6 papers) and Biochemical and Molecular Research (4 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (4.1k citations), Catalysis (339 citations), Virology (209 citations), Hepatology (267 citations) and Inorganic Chemistry (274 citations). Xiaoping Dai has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xin Zhang, Hui Sun, Xin Zhang, Ying Kui Yang, Yao Wang, Zhanzhao Li, Mengzhao Liu, Yangde Ma, Xin Yu Zhang and Chenglong Luan. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Journal of Materials Chemistry A, Nano Research, Electrochimica Acta and Dalton Transactions.
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.