Dan Long
Impact in
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- Advanced Photocatalysis Techniques
- Materials Chemistry top 10%
- Advanced Nanomaterials in Catalysis
- Copper-based nanomaterials and applications
Papers in
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- Advanced Nanomaterials in Catalysis 5
- ZnO doping and properties 4
- Copper-based nanomaterials and applications 4
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- Advanced Photocatalysis Techniques 19
- Co-authors
- Yongping Zhang (14 shared papers)Xi Rao (12 shared papers)Hailong Dou (6 shared papers)Ruo Yuan (4 shared papers)Xianwei Meng (6 shared papers)Yaqin Chai (3 shared papers)Longfei Tan (5 shared papers)Xiaojun Xu (2 shared papers)
- Journals
- Nanoscale (3 papers)Catalysis Science & Technology (2 papers)PLoS ONE (2 papers)Analytical Chemistry (2 papers)ACS Applied Energy Materials (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Dan Long
50 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 131
- Renewable Energy, Sustainability and the Environment 535
- Materials Chemistry 637
- Biomaterials 141
- Biomedical Engineering 397
- Catalysis 58
Countries citing papers authored by Dan Long
This map shows the geographic impact of Dan Long'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 Dan Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Long more than expected).
Fields of papers citing papers by Dan Long
This network shows the impact of papers produced by Dan Long. 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 Dan Long. The network helps show where Dan Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Long, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 149 | |
| 2 | 2012 | 121 | |
| 3 | 2016 | 103 | |
| 4 | 2013 | 101 | |
| 5 | 2019 | 87 | |
| 6 | 2019 | 62 | |
| 7 | 2020 | 59 | |
| 8 | 2020 | 53 | |
| 9 | 2019 | 49 | |
| 10 | 2021 | 47 | |
| 11 | 2020 | 45 | |
| 12 | 2015 | 43 | |
| 13 | 2020 | 39 | |
| 14 | 2018 | 38 | |
| 15 | 2017 | 34 | |
| 16 | 2020 | 34 | |
| 17 | 2019 | 33 | |
| 18 | 2017 | 31 | |
| 19 | 2017 | 29 | |
| 20 | 2019 | 26 |
About Dan Long
Dan Long is a scholar working on Materials Chemistry, Renewable Energy, Sustainability and the Environment, Electrical and Electronic Engineering, Biomedical Engineering and Molecular Biology, having authored 53 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Photocatalysis Techniques (19 papers), Perovskite Materials and Applications (9 papers), Advanced Nanomaterials in Catalysis (5 papers), Nanoplatforms for cancer theranostics (5 papers), ZnO doping and properties (4 papers), Copper-based nanomaterials and applications (4 papers), Advanced biosensing and bioanalysis techniques (4 papers) and Functional Brain Connectivity Studies (4 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (535 citations), Materials Chemistry (637 citations), Biomaterials (141 citations), Biomedical Engineering (397 citations) and Catalysis (58 citations). Dan Long has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yongping Zhang, Xi Rao, Hailong Dou, Ruo Yuan, Xianwei Meng, Yaqin Chai, Longfei Tan, Xiaojun Xu, Shaohui Zheng and Minming Zhang. Their work appears in journals such as Nanoscale, Catalysis Science & Technology, PLoS ONE, Analytical Chemistry and ACS Applied Energy Materials.
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.