Automated Author ProfileLi, Jiuling
Li, Jiuling
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: 8.7 (sum of 16 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
- Chen, Yu ;
- Xiao, Liangrui ;
- Wan, Yihang ;
- Liu, Wenxing ;
- Li, Jiuling ;
- Guo, Yafei
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
- Li, Jiuling ;
- Wang, Baofan ;
- Liu, Taichen ;
- Wen, Qinghong ;
- Jing, Tongfei ;
- Fu, Xiang ;
- Pan, Yingming ;
- Wei, Kai ;
- Zhou, Xiaoyu ;
- Hu, Wenhao ;
- Kang, Zhenghui
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
- Li, Jiuling ;
- Wang, Baofan ;
- Liu, Taichen ;
- Wen, Qinghong ;
- Jing, Tongfei ;
- Fu, Xiang ;
- Pan, Yingming ;
- Wei, Kai ;
- Zhou, Xiaoyu ;
- Hu, Wenhao ;
- Kang, Zhenghui
The widespread use of virtual audits has transformed the assessment of urban design attributes by eliminating the necessity for on-site visits. However, there remains a lack of virtual audit tools specifically designed for evaluating urban parks in dense urban environments. This study aims to (1) adapt the Audit Tool for Activity-friendly Parks in Dense Urban Areas (TAPS) into a remote audit tool (R-TAPS), and (2) evaluate its reliability and validity. Trained auditors used R-TAPS to conduct remote audits of urban parks (n = 53) in Tokyo, with on-site audits for a subset (n = 25). Kappa statistics and percent agreement assessed inter-rater reliability, and intra-class correlation coefficient (ICC) verified convergent validity. R-TAPS showed moderate to almost perfect agreement in 89% of the items. Remote and on-site audits exhibited a high positive correlation (ICC = 0.73). R-TAPS offers a reliable tool for virtually evaluating urban parks to promote physical activity in dense urban settings.
Authors
- Luo, Yufeng ;
- Kaczynski, Andrew T. ;
- Li, Jiuling ;
- Motomura, Monica ;
- Zhao, Jing ;
- Hanibuchi, Tomoya ;
- Oka, Koichiro ;
- Koohsari, Mohammad Javad
The widespread use of virtual audits has transformed the assessment of urban design attributes by eliminating the necessity for on-site visits. However, there remains a lack of virtual audit tools specifically designed for evaluating urban parks in dense urban environments. This study aims to (1) adapt the Audit Tool for Activity-friendly Parks in Dense Urban Areas (TAPS) into a remote audit tool (R-TAPS), and (2) evaluate its reliability and validity. Trained auditors used R-TAPS to conduct remote audits of urban parks (n = 53) in Tokyo, with on-site audits for a subset (n = 25). Kappa statistics and percent agreement assessed inter-rater reliability, and intra-class correlation coefficient (ICC) verified convergent validity. R-TAPS showed moderate to almost perfect agreement in 89% of the items. Remote and on-site audits exhibited a high positive correlation (ICC = 0.73). R-TAPS offers a reliable tool for virtually evaluating urban parks to promote physical activity in dense urban settings.
Authors
- Luo, Yufeng ;
- Kaczynski, Andrew T. ;
- Li, Jiuling ;
- Motomura, Monica ;
- Zhao, Jing ;
- Hanibuchi, Tomoya ;
- Oka, Koichiro ;
- Koohsari, Mohammad Javad
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
- Li, Jiuling ;
- Jia, Xinyu ;
- Yang, Qiangguo ;
- Guo, Jiakang ;
- Ren, Qianhui ;
- Liu, Taichen ;
- Wei, Kai ;
- Kang, Zhenghui
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
- Zheng, Yunyun ;
- Wei, Kai ;
- Gao, Yingying ;
- Zhou, Ziyan ;
- Zheng, Xinhua ;
- Li, Jiuling ;
- Qi, Jinxu
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
- Zheng, Yunyun ;
- Wei, Kai ;
- Gao, Yingying ;
- Zhou, Ziyan ;
- Zheng, Xinhua ;
- Li, Jiuling ;
- Qi, Jinxu
No description available
Authors
- Qi, Jinxu ;
- Zheng, Yunyun ;
- Li, Bin ;
- Wei, Lai ;
- Li, Jiuling ;
- Xu, Xiangxiang ;
- Zhao, Shiru ;
- Zheng, Xinhua ;
- Wang, Yihong
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
- Li, Jiuling ;
- Jia, Xinyu ;
- Qiu, Ju ;
- Wang, Min ;
- Chen, Juan ;
- Jing, Minghui ;
- Xu, Yifu ;
- Zheng, Xinhua ;
- Dai, Hongmei