Automated Author Profile

Li, Jiuling

Current S-Index

8.7

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.5

Average Dataset Index per dataset

Total Datasets

16

Total datasets for this author

Average FAIR Score

14.3%

Average FAIR Score per dataset

Total Citations

9

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

CCDC 2471400: Experimental Crystal Structure Determination

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
0 Citations0 Mentions13% FAIR0.3 Dataset Index
10.5517/ccdc.csd.cc2nyplxJanuary 2025

CCDC 2393055: Experimental Crystal Structure Determination

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
1 Citation0 Mentions15% FAIR0.7 Dataset Index
10.5517/ccdc.csd.cc2lb5bgJanuary 2025

CCDC 2393043: Experimental Crystal Structure Determination

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
1 Citation0 Mentions13% FAIR0.7 Dataset Index
10.5517/ccdc.csd.cc2lb4y1January 2025

Redesigning urban parks for active living in dense urban areas: a remote audit approach

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
1 Citation0 Mentions13% FAIR0.7 Dataset Index
10.6084/m9.figshare.28525545.v1January 2025

Redesigning urban parks for active living in dense urban areas: a remote audit approach

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
1 Citation0 Mentions15% FAIR0.7 Dataset Index
10.6084/m9.figshare.28525545January 2025

CCDC 2257364: Experimental Crystal Structure Determination

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
1 Citation0 Mentions13% FAIR0.7 Dataset Index
10.5517/ccdc.csd.cc2frz6dJanuary 2024

CCDC 2216770: Experimental Crystal Structure Determination

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
0 Citations0 Mentions13% FAIR0.3 Dataset Index
10.5517/ccdc.csd.cc2ddqq8January 2023

CCDC 2216771: Experimental Crystal Structure Determination

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
0 Citations0 Mentions13% FAIR0.3 Dataset Index
10.5517/ccdc.csd.cc2ddqr9January 2023

CCDC 2144664: Experimental Crystal Structure Determination

No description available

Authors

  • Qi, Jinxu ;
  • Zheng, Yunyun ;
  • Li, Bin ;
  • Wei, Lai ;
  • Li, Jiuling ;
  • Xu, Xiangxiang ;
  • Zhao, Shiru ;
  • Zheng, Xinhua ;
  • Wang, Yihong
0 Citations0 Mentions15% FAIR0.4 Dataset Index
10.5517/ccdc.csd.cc29zpqqJanuary 2022

CCDC 2166136: Experimental Crystal Structure Determination

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
0 Citations0 Mentions15% FAIR0.4 Dataset Index
10.5517/ccdc.csd.cc2bq1chJanuary 2022