Peipei Ai
Impact in
- Catalysis top 5%
- Catalysts for Methane Reforming
- Catalysis and Oxidation Reactions
-
- Carbon dioxide utilization in catalysis
Papers in
- Catalysis 22
- Catalysts for Methane Reforming 22
-
- Catalytic Processes in Materials Science 18
- Graphene research and applications 3
- Co-authors
- Noritatsu Tsubaki (16 shared papers)Guohui Yang (10 shared papers)Minghui Tan (9 shared papers)Yoshiharu Yoneyama (7 shared papers)Ruiqin Yang (5 shared papers)Wei Huang (10 shared papers)Guoguo Liu (4 shared papers)Mingbo Wu (3 shared papers)
In The Last Decade
Peipei Ai
27 papers receiving 525 citations
Peers
Comparison fields: 5 of 42
- Catalysis 301
- Process Chemistry and Technology 66
- Materials Chemistry 341
- Inorganic Chemistry 76
- Biomedical Engineering 185
Countries citing papers authored by Peipei Ai
This map shows the geographic impact of Peipei Ai'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 Peipei Ai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peipei Ai more than expected).
Fields of papers citing papers by Peipei Ai
This network shows the impact of papers produced by Peipei Ai. 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 Peipei Ai. The network helps show where Peipei Ai may publish in the future.
Co-authors
The 25 scholars most cited alongside Peipei Ai, 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 | 2017 | 54 | |
| 2 | 2015 | 50 | |
| 3 | 2018 | 45 | |
| 4 | 2017 | 43 | |
| 5 | 2016 | 39 | |
| 6 | 2017 | 37 | |
| 7 | 2016 | 34 | |
| 8 | 2017 | 26 | |
| 9 | 2023 | 23 | |
| 10 | 2016 | 20 | |
| 11 | 2022 | 18 | |
| 12 | 2017 | 17 | |
| 13 | 2017 | 17 | |
| 14 | 2017 | 15 | |
| 15 | 2022 | 14 | |
| 16 | 2016 | 13 | |
| 17 | 2016 | 12 | |
| 18 | 2022 | 12 | |
| 19 | 2017 | 7 | |
| 20 | 2023 | 7 |
About Peipei Ai
Peipei Ai is a scholar working on Catalysis, Materials Chemistry, Biomedical Engineering, Organic Chemistry and Mechanical Engineering, having authored 28 papers that have together received 527 indexed citations. Recurring topics across this work include Catalysts for Methane Reforming (22 papers), Catalytic Processes in Materials Science (18 papers), Catalysis for Biomass Conversion (9 papers), Nanomaterials for catalytic reactions (6 papers), Catalysis and Hydrodesulfurization Studies (5 papers), Carbon dioxide utilization in catalysis (4 papers), Graphene research and applications (3 papers) and Organometallic Complex Synthesis and Catalysis (1 paper). The work is most often cited by research in Catalysis (301 citations), Process Chemistry and Technology (66 citations), Materials Chemistry (341 citations), Inorganic Chemistry (76 citations) and Biomedical Engineering (185 citations). Peipei Ai has collaborated with scholars based in China, Japan and Thailand. Frequent co-authors include Noritatsu Tsubaki, Guohui Yang, Minghui Tan, Yoshiharu Yoneyama, Ruiqin Yang, Wei Huang, Guoguo Liu, Mingbo Wu, Prasert Reubroycharoen and Peipei Zhang. Their work appears in journals such as Catalysis Science & Technology, Fuel, Journal of Energy Chemistry, Chemical Engineering Science 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.