Jun Bin
Impact in
- Analytical Chemistry top 1%
- Spectroscopy and Chemometric Analyses
- Biophysics top 2%
- Spectroscopy Techniques in Biomedical and Chemical Research
Papers in
-
- Spectroscopy and Chemometric Analyses 24
- Biophysics 12
- Spectroscopy Techniques in Biomedical and Chemical Research 12
- Co-authors
- Yi‐Zeng Liang (8 shared papers)Yong‐Huan Yun (3 shared papers)Zhimin Zhang (3 shared papers)Dongsheng Cao (1 shared paper)Qing‐Song Xu (1 shared paper)Lin Xu (1 shared paper)Wei Fan (6 shared papers)Jianhua Huang (2 shared papers)
- Journals
- Analytical Letters (6 papers)The Analyst (2 papers)RSC Advances (1 paper)Food Chemistry (1 paper)Analytica Chimica Acta (1 paper)
- Partner nations
- ChinaSouth Korea
In The Last Decade
Jun Bin
28 papers receiving 591 citations
Peers
Comparison fields: 5 of 93
- Analytical Chemistry 419
- Biophysics 185
- Industrial and Manufacturing Engineering 103
- Biomedical Engineering 184
- Biochemistry 24
Countries citing papers authored by Jun Bin
This map shows the geographic impact of Jun Bin'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 Bin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Bin more than expected).
Fields of papers citing papers by Jun Bin
This network shows the impact of papers produced by Jun Bin. 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 Bin. The network helps show where Jun Bin may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Bin, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 131 | |
| 2 | 2013 | 101 | |
| 3 | 2016 | 61 | |
| 4 | 2016 | 41 | |
| 5 | 2013 | 36 | |
| 6 | 2021 | 30 | |
| 7 | 2017 | 29 | |
| 8 | 2016 | 28 | |
| 9 | 2019 | 16 | |
| 10 | 2022 | 16 | |
| 11 | 2024 | 15 | |
| 12 | 2020 | 15 | |
| 13 | 2023 | 8 | |
| 14 | [Application of Intelligent Optimization Algorithms to Wavelength Selection of Near-Infrared Spectroscopy]. | 2017 | 7 |
| 15 | 2019 | 7 | |
| 16 | 2020 | 7 | |
| 17 | 2016 | 6 | |
| 18 | 2013 | 6 | |
| 19 | 2022 | 6 | |
| 20 | 2016 | 6 |
About Jun Bin
Jun Bin is a scholar working on Analytical Chemistry, Biophysics, Biomedical Engineering, Industrial and Manufacturing Engineering and Molecular Biology, having authored 29 papers that have together received 599 indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (24 papers), Spectroscopy Techniques in Biomedical and Chemical Research (12 papers), Advanced Chemical Sensor Technologies (11 papers), Water Quality Monitoring and Analysis (6 papers), Analytical Chemistry and Chromatography (3 papers), Smart Agriculture and AI (2 papers), Advanced biosensing and bioanalysis techniques (1 paper) and Virtual Reality Applications and Impacts (1 paper). The work is most often cited by research in Analytical Chemistry (419 citations), Biophysics (185 citations), Industrial and Manufacturing Engineering (103 citations), Biomedical Engineering (184 citations) and Biochemistry (24 citations). Jun Bin has collaborated with scholars based in China and South Korea. Frequent co-authors include Yi‐Zeng Liang, Yong‐Huan Yun, Zhimin Zhang, Dongsheng Cao, Qing‐Song Xu, Lin Xu, Wei Fan, Jianhua Huang, Jianbing Wang and Zhenyu Yang. Their work appears in journals such as Analytical Letters, The Analyst, RSC Advances, Food Chemistry and Analytica Chimica Acta.
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.