Junlong Geng
Impact in
- Materials Chemistry top 2%
- Luminescence and Fluorescent Materials
- Carbon and Quantum Dots Applications
- Nanocluster Synthesis and Applications
- Advanced Nanomaterials in Catalysis
- Spectroscopy top 1%
- Molecular Sensors and Ion Detection
Papers in
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- Luminescence and Fluorescent Materials 33
- Carbon and Quantum Dots Applications 6
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- Nanoplatforms for cancer theranostics 24
- Nonlinear Optical Materials Studies 5
- Photoacoustic and Ultrasonic Imaging 5
- Co-authors
- Bin Liu (37 shared papers)Ben Zhong Tang (15 shared papers)Dan Ding (9 shared papers)Jianzhao Liu (3 shared papers)Jie Liu (10 shared papers)Wei Qin (7 shared papers)Kai shang Li (8 shared papers)Haibin Shi (2 shared papers)
In The Last Decade
Junlong Geng
55 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 98
- Materials Chemistry 2.6k
- Spectroscopy 890
- Biomedical Engineering 1.7k
- Biomaterials 309
- Polymers and Plastics 204
Countries citing papers authored by Junlong Geng
This map shows the geographic impact of Junlong Geng'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 Junlong Geng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junlong Geng more than expected).
Fields of papers citing papers by Junlong Geng
This network shows the impact of papers produced by Junlong Geng. 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 Junlong Geng. The network helps show where Junlong Geng may publish in the future.
Co-authors
The 25 scholars most cited alongside Junlong Geng, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 389 | |
| 2 | 2013 | 341 | |
| 3 | 2013 | 263 | |
| 4 | 2014 | 171 | |
| 5 | 2016 | 166 | |
| 6 | 2013 | 146 | |
| 7 | 2012 | 140 | |
| 8 | 2013 | 96 | |
| 9 | 2016 | 94 | |
| 10 | 2013 | 93 | |
| 11 | 2013 | 88 | |
| 12 | 2017 | 88 | |
| 13 | 2012 | 87 | |
| 14 | 2013 | 83 | |
| 15 | 2013 | 82 | |
| 16 | 2012 | 78 | |
| 17 | 2014 | 64 | |
| 18 | 2009 | 62 | |
| 19 | 2014 | 60 | |
| 20 | 2012 | 54 |
About Junlong Geng
Junlong Geng is a scholar working on Materials Chemistry, Biomedical Engineering, Polymers and Plastics, Spectroscopy and Surfaces, Coatings and Films, having authored 57 papers that have together received 3.4k indexed citations. Recurring topics across this work include Luminescence and Fluorescent Materials (33 papers), Nanoplatforms for cancer theranostics (24 papers), Advanced biosensing and bioanalysis techniques (12 papers), Molecular Sensors and Ion Detection (7 papers), Dendrimers and Hyperbranched Polymers (7 papers), Carbon and Quantum Dots Applications (6 papers), Nonlinear Optical Materials Studies (5 papers) and Photoacoustic and Ultrasonic Imaging (5 papers). The work is most often cited by research in Materials Chemistry (2.6k citations), Spectroscopy (890 citations), Biomedical Engineering (1.7k citations), Biomaterials (309 citations) and Polymers and Plastics (204 citations). Junlong Geng has collaborated with scholars based in Singapore, China and Hong Kong. Frequent co-authors include Bin Liu, Ben Zhong Tang, Dan Ding, Jianzhao Liu, Jie Liu, Wei Qin, Kai shang Li, Haibin Shi, Guangxue Feng and L. Zhou. Their work appears in journals such as Small, Polymer Chemistry, Chemical Communications, Particle & Particle Systems Characterization and Journal of the American Chemical Society.
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.