H. Yu
Impact in
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- Computational Drug Discovery Methods
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- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Machine Learning in Bioinformatics
- Gene Regulatory Network Analysis
- Microbial Metabolic Engineering and Bioproduction
- Biomedical Text Mining and Ontologies
Papers in
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- Glycosylation and Glycoproteins Research 3
- Gene expression and cancer classification 1
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- Environmental remediation with nanomaterials 3
- Co-authors
- Natali Gulbahce (1 shared paper)Xiaoling Wang (1 shared paper)Chunming Qiao (1 shared paper)Vishal Anand (1 shared paper)Yucheng Zhao (1 shared paper)Qingsong Yu (2 shared papers)Kazue Sako (1 shared paper)Yitong Jiang (2 shared papers)
- Journals
- Environmental Research (2 papers)Environmental Pollution (1 paper)Briefings in Functional Genomics (1 paper)Ecotoxicology and Environmental Safety (1 paper)Semiconductor Science and Technology (1 paper)
- Partner nations
- ChinaUnited StatesRussia
In The Last Decade
H. Yu
17 papers receiving 297 citations
Peers
Comparison fields: 5 of 89
- Computational Theory and Mathematics 41
- Molecular Biology 163
- Pollution 14
- Genetics 10
- Statistical and Nonlinear Physics 12
Countries citing papers authored by H. Yu
This map shows the geographic impact of H. Yu'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 H. Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. Yu more than expected).
Fields of papers citing papers by H. Yu
This network shows the impact of papers produced by H. Yu. 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 H. Yu. The network helps show where H. Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside H. Yu, 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 | 2011 | 186 | |
| 2 | 2024 | 15 | |
| 3 | 2012 | 14 | |
| 4 | 2005 | 12 | |
| 5 | 2009 | 11 | |
| 6 | 2007 | 11 | |
| 7 | 2012 | 10 | |
| 8 | 2008 | 10 | |
| 9 | 2025 | 10 | |
| 10 | 2024 | 7 | |
| 11 | 2009 | 4 | |
| 12 | 2003 | 4 | |
| 13 | 2024 | 3 | |
| 14 | 2024 | 3 | |
| 15 | 2025 | 3 | |
| 16 | 2025 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2022 | 0 | |
| 19 | 2025 | 0 |
About H. Yu
H. Yu is a scholar working on Molecular Biology, Biomedical Engineering, Cardiology and Cardiovascular Medicine, Industrial and Manufacturing Engineering and Health, Toxicology and Mutagenesis, having authored 19 papers that have together received 305 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (3 papers), Environmental remediation with nanomaterials (3 papers), Microbial Fuel Cells and Bioremediation (2 papers), Recycling and Waste Management Techniques (1 paper), Software System Performance and Reliability (1 paper), Electromagnetic Simulation and Numerical Methods (1 paper), Gene expression and cancer classification (1 paper) and Photodynamic Therapy Research Studies (1 paper). The work is most often cited by research in Computational Theory and Mathematics (41 citations), Molecular Biology (163 citations), Pollution (14 citations), Genetics (10 citations) and Statistical and Nonlinear Physics (12 citations). H. Yu has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Natali Gulbahce, Xiaoling Wang, Chunming Qiao, Vishal Anand, Yucheng Zhao, Qingsong Yu, Kazue Sako, Yitong Jiang, Qin Zou and Yoshiyuki Inoue. Their work appears in journals such as Environmental Research, Environmental Pollution, Briefings in Functional Genomics, Ecotoxicology and Environmental Safety and Semiconductor Science and Technology.
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.