Jun Fan
Impact in
-
- Advanced Photocatalysis Techniques
- Materials Chemistry top 10%
- Carbon and Quantum Dots Applications
- Nanocluster Synthesis and Applications
- Quantum Dots Synthesis And Properties
- Advanced Nanomaterials in Catalysis
- Copper-based nanomaterials and applications
Papers in
-
- Nanocluster Synthesis and Applications 4
- Quantum Dots Synthesis And Properties 3
- Carbon and Quantum Dots Applications 2
-
- Advanced Photocatalysis Techniques 4
- Co-authors
- Enzhou Liu (6 shared papers)Huanxian Shi (5 shared papers)Yujia Yan (2 shared papers)Cunjin Wang (3 shared papers)Min Yang (2 shared papers)Zhen Ji (2 shared papers)Bin Zhang (1 shared paper)Xiao Hu (1 shared paper)
- Journals
- Colloids and Surfaces A Physicochemical and Engineering Aspects (1 paper)Ceramics International (1 paper)Journal of Alloys and Compounds (1 paper)Food Chemistry (1 paper)Materials Research Bulletin (1 paper)
- Partner nations
- ChinaNetherlandsNew Zealand
In The Last Decade
Jun Fan
8 papers receiving 500 citations
Peers
Comparison fields: 5 of 45
- Renewable Energy, Sustainability and the Environment 226
- Materials Chemistry 423
- Electrical and Electronic Engineering 150
- Inorganic Chemistry 35
- Analytical Chemistry 17
Countries citing papers authored by Jun Fan
This map shows the geographic impact of Jun Fan'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 Jun Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Fan more than expected).
Fields of papers citing papers by Jun Fan
This network shows the impact of papers produced by Jun Fan. 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 Jun Fan. The network helps show where Jun Fan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Fan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 199 | |
| 2 | 2020 | 121 | |
| 3 | 2021 | 48 | |
| 4 | 2021 | 37 | |
| 5 | 2020 | 33 | |
| 6 | 2019 | 28 | |
| 7 | 2020 | 27 | |
| 8 | 2023 | 19 |
About Jun Fan
Jun Fan is a scholar working on Materials Chemistry, Renewable Energy, Sustainability and the Environment, Electrical and Electronic Engineering, Molecular Biology and Spectroscopy, having authored 8 papers that have together received 512 indexed citations. Recurring topics across this work include Nanocluster Synthesis and Applications (4 papers), Advanced Photocatalysis Techniques (4 papers), Quantum Dots Synthesis And Properties (3 papers), Carbon and Quantum Dots Applications (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Gas Sensing Nanomaterials and Sensors (1 paper), Analytical chemistry methods development (1 paper) and Molecular Sensors and Ion Detection (1 paper). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (226 citations), Materials Chemistry (423 citations), Electrical and Electronic Engineering (150 citations), Inorganic Chemistry (35 citations) and Analytical Chemistry (17 citations). Jun Fan has collaborated with scholars based in China, Netherlands and New Zealand. Frequent co-authors include Enzhou Liu, Huanxian Shi, Yujia Yan, Cunjin Wang, Min Yang, Zhen Ji, Bin Zhang, Xiao Hu, Wenjuan Sun and Chenxuan Wang. Their work appears in journals such as Colloids and Surfaces A Physicochemical and Engineering Aspects, Ceramics International, Journal of Alloys and Compounds, Food Chemistry and Materials Research Bulletin.
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.