Junfeng Huang
Impact in
- Spectroscopy top 2%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Molecular Biology top 10%
- Glycosylation and Glycoproteins Research
Papers in
-
- Glycosylation and Glycoproteins Research 19
- Machine Learning in Bioinformatics 6
- Spectroscopy 18
- Advanced Proteomics Techniques and Applications 15
- Mass Spectrometry Techniques and Applications 7
- Co-authors
- Hanfa Zou (9 shared papers)Lingjun Li (20 shared papers)Mingliang Ye (9 shared papers)Weiqing Yang (16 shared papers)Fangjun Wang (5 shared papers)Zhengwei Chen (6 shared papers)Wenliang Xu (6 shared papers)Kai Cheng (5 shared papers)
- Journals
- Analytical Chemistry (8 papers)Journal of Proteome Research (4 papers)Clinical and Translational Medicine (3 papers)Experimental Brain Research (3 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Junfeng Huang
122 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 150
- Spectroscopy 410
- Molecular Biology 1.1k
- Electronic, Optical and Magnetic Materials 212
- Industrial and Manufacturing Engineering 113
- Developmental Biology 22
Countries citing papers authored by Junfeng Huang
This map shows the geographic impact of Junfeng Huang'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 Junfeng Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junfeng Huang more than expected).
Fields of papers citing papers by Junfeng Huang
This network shows the impact of papers produced by Junfeng Huang. 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 Junfeng Huang. The network helps show where Junfeng Huang may publish in the future.
Co-authors
The 25 scholars most cited alongside Junfeng Huang, 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 125 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 209 | |
| 2 | 2023 | 128 | |
| 3 | 2019 | 125 | |
| 4 | 2022 | 121 | |
| 5 | 2014 | 87 | |
| 6 | 2021 | 71 | |
| 7 | 2015 | 70 | |
| 8 | 2020 | 70 | |
| 9 | 2021 | 69 | |
| 10 | 2018 | 66 | |
| 11 | 2023 | 59 | |
| 12 | 2024 | 51 | |
| 13 | 2021 | 49 | |
| 14 | 2013 | 47 | |
| 15 | 2016 | 45 | |
| 16 | 2018 | 44 | |
| 17 | 2020 | 44 | |
| 18 | 2015 | 43 | |
| 19 | 2014 | 43 | |
| 20 | 2024 | 42 |
About Junfeng Huang
Junfeng Huang is a scholar working on Molecular Biology, Spectroscopy, Materials Chemistry, Electrical and Electronic Engineering and Biomedical Engineering, having authored 125 papers that have together received 2.8k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (19 papers), Advanced Proteomics Techniques and Applications (15 papers), MXene and MAX Phase Materials (10 papers), Advancements in Battery Materials (9 papers), Plant Molecular Biology Research (7 papers), Mass Spectrometry Techniques and Applications (7 papers), Advanced Battery Materials and Technologies (7 papers) and Machine Learning in Bioinformatics (6 papers). The work is most often cited by research in Spectroscopy (410 citations), Molecular Biology (1.1k citations), Electronic, Optical and Magnetic Materials (212 citations), Industrial and Manufacturing Engineering (113 citations) and Developmental Biology (22 citations). Junfeng Huang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Hanfa Zou, Lingjun Li, Mingliang Ye, Weiqing Yang, Fangjun Wang, Zhengwei Chen, Wenliang Xu, Kai Cheng, Yangyang Bian and Chunxia Song. Their work appears in journals such as Analytical Chemistry, Journal of Proteome Research, Clinical and Translational Medicine, Experimental Brain Research and Proceedings of the National Academy of Sciences.
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.