Automated Author ProfileZhou, Yan
Zhou, Yan
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 48.5 (sum of 72 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
We profiled the repertoires of peripheral blood TCRβ chains from 890 individuals including NPC patients, at-risk controls positive for serum EBV VCA-IgA antibody, and seronegative controls through bulk TCRβ sequencing. Library : TCR-seq of genomic DNA extracted from peripheral blood cells.FASTQ files were then processed to extract TCRβ repertoires using MiXCR (v3.0.6)
Authors
- Xu, Miao ;
- Zhang, Shanshan ;
- Zhou, Yan
We profiled the repertoires of peripheral blood TCRβ chains from 890 individuals including NPC patients, at-risk controls positive for serum EBV VCA-IgA antibody, and seronegative controls through bulk TCRβ sequencing. Library : TCR-seq of genomic DNA extracted from peripheral blood cells.FASTQ files were then processed to extract TCRβ repertoires using MiXCR (v3.0.6)
Authors
- Xu, Miao ;
- Zhang, Shanshan ;
- Zhou, Yan
2000-2022
Authors
- zhou, yan
2000-2022
Authors
- zhou, yan
This is the data for "Exploring 400 Gbps/λ and beyond with AI-accelerated silicon photonic slow-light technology", including all the data that support the plots within the paper in the main part and supplementary information.
Authors
- Han, Changhao ;
- Yang, Qipeng ;
- Qin, Jun ;
- Zhou, Yan ;
- Zheng, Zhao ;
- Zhang, Yunhao ;
- Wang, Haoren ;
- Sun, Yu ;
- Lu, Junde ;
- Wang, Yimeng ;
- Ge, Zhangfeng ;
- Wu, Yichen ;
- Wang, Lei ;
- He, Zhixue ;
- Yu, Shaohua ;
- Hu, Weiwei ;
- Peng, Chao ;
- Shu, Haowen ;
- Bowers, John ;
- Wang, Xingjun
This is the data for "Exploring 400 Gbps/λ and beyond with AI-accelerated silicon photonic slow-light technology", including all the data that support the plots within the paper in the main part and supplementary information.
Authors
- Han, Changhao ;
- Yang, Qipeng ;
- Qin, Jun ;
- Zhou, Yan ;
- Zheng, Zhao ;
- Zhang, Yunhao ;
- Wang, Haoren ;
- Sun, Yu ;
- Lu, Junde ;
- Wang, Yimeng ;
- Ge, Zhangfeng ;
- Wu, Yichen ;
- Wang, Lei ;
- He, Zhixue ;
- Yu, Shaohua ;
- Hu, Weiwei ;
- Peng, Chao ;
- Shu, Haowen ;
- Bowers, John ;
- Wang, Xingjun
No description available
Authors
- Zhou, Yan ;
- Aeschliman, Spencer ;
- Gohlke, David
Data sets for the LDBC Financial Benchmark (FinBench) v0.1.0 workload. Stored in tar.gz-compressed CSV files. Website: https://ldbcouncil.org/benchmarks/finbench Related publication: Shipeng Qi, Heng Lin, Zhihui Guo, Gábor Szárnyas, Bing Tong, Yan Zhou, Bin Yang, Jiansong Zhang, Zheng Wang, Youren Shen, Changyuan Wang, Parviz Peiravi, Henry A. Gabb, Benjamin A. Steer: The LDBC Financial Benchmark. CoRR abs/2306.15975 (2023)
Authors
- Shipeng Qi ;
- Lin, Heng ;
- Zhihui Guo ;
- Szárnyas, Gábor ;
- Tong, Bing ;
- Zhou, Yan ;
- Yang, Bin ;
- Jiansong Zhang ;
- Wang, Zheng ;
- Youren Shen ;
- Changyuan Wang ;
- Peiravi, Parviz ;
- Gabb, Henry A. ;
- Steer, Benjamin A.
No description available
Authors
- Zhou, Yan ;
- Gohlke, David ;
- Sansone, Michael
In this work, Cu surface and amorphous n-octadecane composite system and Cu surface and graphene/n-octadecane composite system were constructed. By performing MD simulation, the microscopic behavior and interaction mechanism of alkane molecules in the system will be examined. The results may provide a microscopic mechanism explanation for the enhancement of thermal conductivity of CPCM by carbon nanomaterials and metal nanomaterials.
Authors
- Zhou, Yan