Dan He
Impact in
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- Medicinal Plants and Neuroprotection
- Materials Chemistry top 5%
- Nanoparticles: synthesis and applications
- Advanced Nanomaterials in Catalysis
Papers in
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- Data Management and Algorithms 14
- Genetics 27
- Genetic Associations and Epidemiology 15
- Genomic variations and chromosomal abnormalities 6
- Co-authors
- Li Wang (3 shared papers)Song Gao (14 shared papers)Koji Yokoyama (5 shared papers)Guangquan Li (2 shared papers)Buyuan Guan (1 shared paper)Yan Cui (1 shared paper)Eleazar Eskin (16 shared papers)Baiji Xue (3 shared papers)
- Journals
- Bioinformatics (5 papers)International Journal of Molecular Sciences (4 papers)Scientia Horticulturae (3 papers)Frontiers in Microbiology (3 papers)IEEE Transactions on Intelligent Transportation Systems (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Dan He
138 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 159
- Complementary and alternative medicine 123
- Materials Chemistry 755
- Plant Science 517
- Biomedical Engineering 472
- Genetics 282
Countries citing papers authored by Dan He
This map shows the geographic impact of Dan He'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 Dan He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan He more than expected).
Fields of papers citing papers by Dan He
This network shows the impact of papers produced by Dan He. 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 Dan He. The network helps show where Dan He may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan He, 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 | 2011 | 446 | |
| 2 | 2016 | 184 | |
| 3 | 2013 | 178 | |
| 4 | 2010 | 84 | |
| 5 | 2010 | 60 | |
| 6 | 2019 | 60 | |
| 7 | 2018 | 52 | |
| 8 | 2010 | 51 | |
| 9 | 2016 | 50 | |
| 10 | 2018 | 44 | |
| 11 | 2016 | 42 | |
| 12 | 2014 | 41 | |
| 13 | 2013 | 40 | |
| 14 | 2017 | 37 | |
| 15 | 2011 | 35 | |
| 16 | 2018 | 35 | |
| 17 | 2007 | 33 | |
| 18 | 2018 | 32 | |
| 19 | 2019 | 30 | |
| 20 | 2015 | 29 |
About Dan He
Dan He is a scholar working on Signal Processing, Genetics, Molecular Biology, Plant Science and Artificial Intelligence, having authored 145 papers that have together received 2.5k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (16 papers), Algorithms and Data Compression (15 papers), Genetic Associations and Epidemiology (15 papers), Data Management and Algorithms (14 papers), Data Mining Algorithms and Applications (10 papers), Plant Pathogens and Fungal Diseases (10 papers), Advanced Database Systems and Queries (7 papers) and Genomic variations and chromosomal abnormalities (6 papers). The work is most often cited by research in Complementary and alternative medicine (123 citations), Materials Chemistry (755 citations), Plant Science (517 citations), Biomedical Engineering (472 citations) and Genetics (282 citations). Dan He has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Li Wang, Song Gao, Koji Yokoyama, Guangquan Li, Buyuan Guan, Yan Cui, Eleazar Eskin, Baiji Xue, D. Stott Parker and Dongyang Wang. Their work appears in journals such as Bioinformatics, International Journal of Molecular Sciences, Scientia Horticulturae, Frontiers in Microbiology and IEEE Transactions on Intelligent Transportation Systems.
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.