Automated Author ProfileChen, Mingyu
Chen, Mingyu
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: 9.9 (sum of 9 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
Authors
- Xiao, Yuntian ;
- Wu, Chuanhua ;
- Feng, Shanshan ;
- Chen, Mingyu ;
- Cao, Hongchen ;
- Chen, Kui ;
- Zhou, Ling ;
- Yi, Qiuxiang
An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
Authors
- Xiao, Yuntian ;
- Wu, Chuanhua ;
- Feng, Shanshan ;
- Chen, Mingyu ;
- Cao, Hongchen ;
- Chen, Kui ;
- Zhou, Ling ;
- Yi, Qiuxiang
An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
Authors
- Xiao, Yuntian ;
- Wu, Chuanhua ;
- Feng, Shanshan ;
- Chen, Mingyu ;
- Cao, Hongchen ;
- Chen, Kui ;
- Zhou, Ling ;
- Yi, Qiuxiang
PRISMA checklist.Supplementary table.
Authors
- Zhou, Xueyin ;
- Cao, Jiasheng ;
- Topatana, Win ;
- Xie, Tianao ;
- Chen, Tianen ;
- Hu, Jiahao ;
- Li, Shijie ;
- Juengpanich, Sarun ;
- Lu, Ziyi ;
- Zhang, Bin ;
- Wang, Kaitai ;
- Feng, Xu ;
- Sheng, Jiliang ;
- Chen, Mingyu
PRISMA checklist.Supplementary table.
Authors
- Zhou, Xueyin ;
- Cao, Jiasheng ;
- Topatana, Win ;
- Xie, Tianao ;
- Chen, Tianen ;
- Hu, Jiahao ;
- Li, Shijie ;
- Juengpanich, Sarun ;
- Lu, Ziyi ;
- Zhang, Bin ;
- Wang, Kaitai ;
- Feng, Xu ;
- Sheng, Jiliang ;
- Chen, Mingyu
An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
Authors
- Chen, Mingyu ;
- Wang, Ming ;
- Liu, Cheng ;
- Yang, Tao ;
- Zhou, Xinhui ;
- You, Yujian
An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
Authors
- Zhou, Xinhui ;
- Liu, Cheng ;
- Chen, Mingyu ;
- Wang, Xiaomei ;
- Ding, Ge ;
- Yang, Tao ;
- Xiao, Hongping ;
- You, Yujian
Motion-based control is gaining popularity, and motion gestures form a complementary modality in human-computer interactions. To achieve more robust user independent motion gesture recognition in a manner analogous to automatic speech recognition, we need a deeper understanding of the motions in gesture, which arouses the need for a 6D motion gesture database. In this work, we present a database that contains comprehensive motion data, including the position, orientation, acceleration, and angular speed, for a set of common motion gestures performed by different users. We hope this motion gesture database can be a useful platform for researchers and developers to build their recognition algorithms as well as a common test bench for performance comparisons. Associated codes with the dataset along with instructions may be found on our GitHub page at https://github.com/olivesgatech/6DMG.
Authors
- Chen, Mingyu ;
- AlRegib, Ghassan ;
- Juang, Biing-Hwang