Mei Jia
- Materials Chemistry top 5%
- Renewable Energy, Sustainability and the Environment top 2%
- Inorganic Chemistry top 2%
- Electrical and Electronic Engineering
- Process Chemistry and Technology top 5%
- Topics
- Catalytic Processes in Materials Science (4 papers)Electrochemical Analysis and Applications (4 papers)Machine Learning in Materials Science (3 papers)
- Cited by
- Process Chemistry and TechnologyRenewable Energy, Sustainability and the EnvironmentInorganic Chemistry
- Journals
- NatureJournal of the American Chemical SocietySHILAP Revista de lepidopterología
- Partner nations
- ChinaSwedenUnited Kingdom
In The Last Decade
Mei Jia
14 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 54
- Materials Chemistry 864
- Renewable Energy, Sustainability and the Environment 761
- Inorganic Chemistry 554
- Electrical and Electronic Engineering 244
- Process Chemistry and Technology 137
Countries citing papers authored by Mei Jia
This map shows the geographic impact of Mei Jia'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 Mei Jia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mei Jia more than expected).
Fields of papers citing papers by Mei Jia
This network shows the impact of papers produced by Mei Jia. 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 Mei Jia. The network helps show where Mei Jia may publish in the future.
Co-authorship network of co-authors of Mei Jia
This figure shows the co-authorship network connecting the top 25 collaborators of Mei Jia. A scholar is included among the top collaborators of Mei Jia based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mei Jia. Mei Jia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 14 | |
| 3 | 24 | |
| 4 | 24 | |
| 5 | 42 | |
| 6 | Filling metal–organic framework mesopores with TiO2 for CO2 photoreductionbreakdown → | 857 |
| 7 | 95 | |
| 8 | 25 | |
| 9 | 9 | |
| 10 | 149 | |
| 11 | 7 | |
| 12 | 3 | |
| 13 | 0 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 2 |
About Mei Jia
Mei Jia is a scholar working on Electrochemistry, Filtration and Separation and Renewable Energy, Sustainability and the Environment, having authored 16 papers that have together received 1.3k indexed citations. Recurring topics across this work include Catalytic Processes in Materials Science (4 papers), Electrochemical Analysis and Applications (4 papers) and Machine Learning in Materials Science (3 papers). The work is most often cited by research in Process Chemistry and Technology (137 citations), Renewable Energy, Sustainability and the Environment (761 citations) and Inorganic Chemistry (554 citations). Mei Jia has collaborated with scholars based in China, Sweden and United Kingdom. Frequent co-authors include Jun Cheng, Yanhang Ma, Hexiang Deng, Xiaohui Xu, Yi Zhou, Hae Sung Cho, Osamu Terasaki, Zhuo Jiang, Ling Zan and Jie Wu. Their work appears in journals such as Nature, Journal of the American Chemical Society and SHILAP Revista de lepidopterología.
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.