Jun Hu
Impact in
- Pollution top 2%
- Pharmaceutical and Antibiotic Environmental Impacts
Papers in
-
- Machine Learning in Bioinformatics 33
- Protein Structure and Dynamics 20
- RNA and protein synthesis mechanisms 17
- Genomics and Phylogenetic Studies 9
-
- Water Treatment and Disinfection 28
- Co-authors
- Dong‐Jun Yu (29 shared papers)Hong‐Bin Shen (13 shared papers)Yan Chen (4 shared papers)Yang Zhang (5 shared papers)Zhichun Li (3 shared papers)Christo Wilson (2 shared papers)Ben Y. Zhao (2 shared papers)Hongyu Gao (2 shared papers)
- Journals
- IEEE/ACM Transactions on Computational Biology and Bioinformatics (8 papers)Journal of Chemical Information and Modeling (7 papers)Water Research (6 papers)Separation and Purification Technology (5 papers)Environmental Pollution (4 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Jun Hu
139 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 169
- Pollution 376
- Process Chemistry and Technology 71
- Computational Theory and Mathematics 388
- Health, Toxicology and Mutagenesis 308
- Water Science and Technology 305
Countries citing papers authored by Jun Hu
This map shows the geographic impact of Jun Hu'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 Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Hu more than expected).
Fields of papers citing papers by Jun Hu
This network shows the impact of papers produced by Jun Hu. 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 Hu. The network helps show where Jun Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Hu, 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 145 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 262 | |
| 2 | 2010 | 145 | |
| 3 | 2012 | 142 | |
| 4 | 2013 | 115 | |
| 5 | 2019 | 110 | |
| 6 | 2011 | 100 | |
| 7 | 2019 | 81 | |
| 8 | 2016 | 75 | |
| 9 | 2013 | 66 | |
| 10 | 2018 | 65 | |
| 11 | 2012 | 65 | |
| 12 | 2021 | 63 | |
| 13 | 2020 | 63 | |
| 14 | 2016 | 62 | |
| 15 | 2013 | 59 | |
| 16 | 2019 | 59 | |
| 17 | 2018 | 54 | |
| 18 | 2019 | 53 | |
| 19 | 2014 | 50 | |
| 20 | 2018 | 49 |
About Jun Hu
Jun Hu is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis, Water Science and Technology, Pollution and Computational Theory and Mathematics, having authored 145 papers that have together received 3.1k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (33 papers), Water Treatment and Disinfection (28 papers), Protein Structure and Dynamics (20 papers), Advanced oxidation water treatment (19 papers), RNA and protein synthesis mechanisms (17 papers), Computational Drug Discovery Methods (16 papers), Pharmaceutical and Antibiotic Environmental Impacts (9 papers) and Genomics and Phylogenetic Studies (9 papers). The work is most often cited by research in Pollution (376 citations), Process Chemistry and Technology (71 citations), Computational Theory and Mathematics (388 citations), Health, Toxicology and Mutagenesis (308 citations) and Water Science and Technology (305 citations). Jun Hu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Dong‐Jun Yu, Hong‐Bin Shen, Yan Chen, Yang Zhang, Zhichun Li, Christo Wilson, Ben Y. Zhao, Hongyu Gao, Guijun Zhang and Chengxin Zhang. Their work appears in journals such as IEEE/ACM Transactions on Computational Biology and Bioinformatics, Journal of Chemical Information and Modeling, Water Research, Separation and Purification Technology and Environmental Pollution.
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.