Yihe Dong
Impact in
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- Tannin, Tannase and Anticancer Activities
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- Data Management and Algorithms
Papers in
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- Advanced Image and Video Retrieval Techniques 2
- Multimodal Machine Learning Applications 2
- Video Analysis and Summarization 1
- Ecology 2
- Microbial Community Ecology and Physiology 2
- Environmental DNA in Biodiversity Studies 2
- Co-authors
- Ilya Razenshteyn (2 shared papers)Mary Ann Moran (2 shared papers)Piotr Indyk (2 shared papers)Qinyao Luo (1 shared paper)Samuel B. Hopkins (1 shared paper)Hao Deng (1 shared paper)Jerry Li (1 shared paper)
- Journals
- IEEE Access (1 paper)The American Biology Teacher (2 papers)arXiv (Cornell University) (1 paper)Neural Information Processing Systems (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Yihe Dong
6 papers receiving 25 citations
Peers
Comparison fields: 5 of 35
- Applied Microbiology and Biotechnology 2
- Signal Processing 3
- Computer Vision and Pattern Recognition 5
- Environmental Chemistry 2
- Artificial Intelligence 6
Countries citing papers authored by Yihe Dong
This map shows the geographic impact of Yihe Dong'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 Yihe Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yihe Dong more than expected).
Fields of papers citing papers by Yihe Dong
This network shows the impact of papers produced by Yihe Dong. 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 Yihe Dong. The network helps show where Yihe Dong may publish in the future.
Co-authors
The 7 scholars most cited alongside Yihe Dong, 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 | 2020 | 8 | |
| 2 | 2019 | 7 | |
| 3 | 2008 | 4 | |
| 4 | 2008 | 3 | |
| 5 | Quantum Entropy Scoring for Fast Robust Mean Estimation and Improved Outlier Detection | 2019 | 2 |
| 6 | Learning Sublinear-Time Indexing for Nearest Neighbor Search. | 2019 | 2 |
About Yihe Dong
Yihe Dong is a scholar working on Computer Vision and Pattern Recognition, Ecology, Molecular Biology, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 6 papers that have together received 26 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (2 papers), Multimodal Machine Learning Applications (2 papers), Microbial Community Ecology and Physiology (2 papers), Environmental DNA in Biodiversity Studies (2 papers), Imbalanced Data Classification Techniques (1 paper), Machine Learning and Algorithms (1 paper), Video Analysis and Summarization (1 paper) and Urban Transport and Accessibility (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (2 citations), Signal Processing (3 citations), Computer Vision and Pattern Recognition (5 citations), Environmental Chemistry (2 citations) and Artificial Intelligence (6 citations). Yihe Dong has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Ilya Razenshteyn, Mary Ann Moran, Piotr Indyk, Qinyao Luo, Samuel B. Hopkins, Hao Deng and Jerry Li. Their work appears in journals such as IEEE Access, The American Biology Teacher, arXiv (Cornell University) and Neural Information Processing 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.