Bin Yu
Impact in
- Biochemistry top 0.5%
- Phytochemicals and Antioxidant Activities
- Food Science top 0.5%
- Fermentation and Sensory Analysis
- Food Chemistry and Fat Analysis
- Food Quality and Safety Studies
Papers in
- Food Science 55
- Fermentation and Sensory Analysis 45
- Biochemistry 34
- Phytochemicals and Antioxidant Activities 34
- Co-authors
- Shao‐Quan Liu (66 shared papers)Philip Curran (44 shared papers)Mun Wai Cheong (15 shared papers)Jingcan Sun (31 shared papers)Benjamin Lassabliere (33 shared papers)Liang Wei Lee (5 shared papers)Pin‐Rou Lee (11 shared papers)Weibiao Zhou (8 shared papers)
- Journals
- Food Chemistry (17 papers)LWT (11 papers)Food Research International (6 papers)Talanta (6 papers)International Journal of Food Science & Technology (6 papers)
- Partner nations
- SingaporeChinaUnited States
In The Last Decade
Bin Yu
103 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 123
- Biochemistry 497
- Food Science 1.4k
- Pharmacology 816
- Pathology and Forensic Medicine 591
- Biotechnology 242
Countries citing papers authored by Bin Yu
This map shows the geographic impact of Bin Yu'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 Bin Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Yu more than expected).
Fields of papers citing papers by Bin Yu
This network shows the impact of papers produced by Bin Yu. 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 Bin Yu. The network helps show where Bin Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Yu, 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 103 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 234 | |
| 2 | 2013 | 134 | |
| 3 | 2019 | 89 | |
| 4 | 2012 | 88 | |
| 5 | 2018 | 72 | |
| 6 | 2016 | 68 | |
| 7 | 2016 | 64 | |
| 8 | 2017 | 63 | |
| 9 | 2012 | 57 | |
| 10 | 2010 | 53 | |
| 11 | 2010 | 50 | |
| 12 | 2020 | 49 | |
| 13 | 2011 | 49 | |
| 14 | 2009 | 46 | |
| 15 | 2012 | 45 | |
| 16 | 2016 | 44 | |
| 17 | 2012 | 44 | |
| 18 | 2011 | 44 | |
| 19 | 2019 | 41 | |
| 20 | 2019 | 40 |
About Bin Yu
Bin Yu is a scholar working on Food Science, Biochemistry, Plant Science, Molecular Biology and Pathology and Forensic Medicine, having authored 103 papers that have together received 2.5k indexed citations. Recurring topics across this work include Fermentation and Sensory Analysis (45 papers), Phytochemicals and Antioxidant Activities (34 papers), Tea Polyphenols and Effects (19 papers), Horticultural and Viticultural Research (16 papers), Coffee research and impacts (15 papers), Analytical Chemistry and Chromatography (11 papers), Advanced Chemical Sensor Technologies (10 papers) and Biochemical and biochemical processes (9 papers). The work is most often cited by research in Biochemistry (497 citations), Food Science (1.4k citations), Pharmacology (816 citations), Pathology and Forensic Medicine (591 citations) and Biotechnology (242 citations). Bin Yu has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Shao‐Quan Liu, Philip Curran, Mun Wai Cheong, Jingcan Sun, Benjamin Lassabliere, Liang Wei Lee, Pin‐Rou Lee, Weibiao Zhou, Chenhui Wang and Rui Min Vivian Goh. Their work appears in journals such as Food Chemistry, LWT, Food Research International, Talanta and International Journal of Food Science & Technology.
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.