Haidong Yi
Impact in
- Biotechnology top 10%
- Enzyme Production and Characterization
-
- Microbial Community Ecology and Physiology
- Bacteriophages and microbial interactions
Papers in
-
- Single-cell and spatial transcriptomics 5
- Gene expression and cancer classification 3
- RNA and protein synthesis mechanisms 2
- Genomics and Phylogenetic Studies 2
- Bioinformatics and Genomic Networks 2
- CRISPR and Genetic Engineering 2
- Co-authors
- Yanbin Yin (5 shared papers)Han Zhang (5 shared papers)Le Huang (4 shared papers)Peizhi Wu (1 shared paper)Zhenglu Yang (1 shared paper)Sarah Entwistle (1 shared paper)Xueqiong Li (1 shared paper)Jinfang Zheng (1 shared paper)
- Journals
- Nucleic Acids Research (4 papers)Bioinformatics (3 papers)Genome biology (1 paper)Engineering Optimization (1 paper)Influenza and Other Respiratory Viruses (1 paper)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Haidong Yi
13 papers receiving 415 citations
Peers
Comparison fields: 5 of 83
- Biotechnology 60
- Ecology 116
- Molecular Biology 275
- Food Science 46
- Endocrinology 13
Countries citing papers authored by Haidong Yi
This map shows the geographic impact of Haidong Yi'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 Haidong Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haidong Yi more than expected).
Fields of papers citing papers by Haidong Yi
This network shows the impact of papers produced by Haidong Yi. 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 Haidong Yi. The network helps show where Haidong Yi may publish in the future.
Co-authors
The 25 scholars most cited alongside Haidong Yi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 218 | |
| 2 | 2020 | 72 | |
| 3 | 2020 | 48 | |
| 4 | 2020 | 38 | |
| 5 | 2017 | 17 | |
| 6 | 2024 | 5 | |
| 7 | 2021 | 5 | |
| 8 | 2021 | 4 | |
| 9 | 2015 | 3 | |
| 10 | Exchangeable Neural ODE for Set Modeling | 2020 | 2 |
| 11 | 2021 | 2 | |
| 12 | 2020 | 1 | |
| 13 | 2022 | 1 | |
| 14 | 2026 | 0 |
About Haidong Yi
Haidong Yi is a scholar working on Molecular Biology, Artificial Intelligence, Computer Vision and Pattern Recognition, Biotechnology and Biophysics, having authored 14 papers that have together received 416 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), Gene expression and cancer classification (3 papers), Cell Image Analysis Techniques (2 papers), RNA and protein synthesis mechanisms (2 papers), Genomics and Phylogenetic Studies (2 papers), Enzyme Production and Characterization (2 papers), Bioinformatics and Genomic Networks (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Biotechnology (60 citations), Ecology (116 citations), Molecular Biology (275 citations), Food Science (46 citations) and Endocrinology (13 citations). Haidong Yi has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Yanbin Yin, Han Zhang, Le Huang, Peizhi Wu, Zhenglu Yang, Sarah Entwistle, Xueqiong Li, Jinfang Zheng, Bo Zheng and Xuehuan Feng. Their work appears in journals such as Nucleic Acids Research, Bioinformatics, Genome biology, Engineering Optimization and Influenza and Other Respiratory Viruses.
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.