Automated Author ProfileLiu, Peng
Liu, Peng
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: 382.6 (sum of 583 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
- Sun, Juntao ;
- Tugwell, Thomas H. ;
- Madhusudhanan, Mithun C. ;
- Xu, Letian ;
- Yang, Shenghua ;
- Liu, Peng ;
- Engle, Keary M.
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
- Sun, Juntao ;
- Tugwell, Thomas H. ;
- Madhusudhanan, Mithun C. ;
- Xu, Letian ;
- Yang, Shenghua ;
- Liu, Peng ;
- Engle, Keary M.
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
- Sun, Juntao ;
- Tugwell, Thomas H. ;
- Madhusudhanan, Mithun C. ;
- Xu, Letian ;
- Yang, Shenghua ;
- Liu, Peng ;
- Engle, Keary M.
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
- Sun, Juntao ;
- Tugwell, Thomas H. ;
- Madhusudhanan, Mithun C. ;
- Xu, Letian ;
- Yang, Shenghua ;
- Liu, Peng ;
- Engle, Keary M.
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
- Sun, Juntao ;
- Tugwell, Thomas H. ;
- Madhusudhanan, Mithun C. ;
- Xu, Letian ;
- Yang, Shenghua ;
- Liu, Peng ;
- Engle, Keary M.
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
- Sun, Juntao ;
- Tugwell, Thomas H. ;
- Madhusudhanan, Mithun C. ;
- Xu, Letian ;
- Yang, Shenghua ;
- Liu, Peng ;
- Engle, Keary M.
Numerous studies have shown that motor inhibition can be triggered automatically when the cognitive system encounters interfering stimuli, even a suspicious stimulus in the absence of perceptual awareness (e.g., the negative compatibility effect). This study investigated the effect of temporal expectation, a top-down active preparation for future events, on unconscious inhibitory processing both in the local expectation context on a trial-by-trial basis (Experiment 1) and in the global expectation context on a block-wise basis (Experiment 2). Modeling of the behavioral data using a drift-diffusion model showed that temporal expectation can accelerate the evidence accumulation and improve response caution, regardless of context. Importantly, the acceleration is lower when the target is consistent with the suspicious response tendency induced by the subliminal prime than when the target is inconsistent with that, which is significantly correlated with the behavioral RTs (i.e., the compatibility effect). The results provide evidence for a framework in which temporal expectation enhances inhibitory control of unconscious processes. The mechanism is likely to be that temporal expectation enhances the activations afforded by subliminal stimuli and the strength of cognitive monitoring, so that the cognitive system suppresses these suspicious activations more strongly, preventing them from escaping and interfering with subsequent processing.
Authors
- Wang, Yongchun ;
- Cao, Jinlan ;
- Chen, Wandong ;
- Tang, Zhengqi ;
- Liu, Tingyi ;
- Mu, Zhen ;
- Liu, Peng ;
- Wang, Yonghui
Numerous studies have shown that motor inhibition can be triggered automatically when the cognitive system encounters interfering stimuli, even a suspicious stimulus in the absence of perceptual awareness (e.g., the negative compatibility effect). This study investigated the effect of temporal expectation, a top-down active preparation for future events, on unconscious inhibitory processing both in the local expectation context on a trial-by-trial basis (Experiment 1) and in the global expectation context on a block-wise basis (Experiment 2). Modeling of the behavioral data using a drift-diffusion model showed that temporal expectation can accelerate the evidence accumulation and improve response caution, regardless of context. Importantly, the acceleration is lower when the target is consistent with the suspicious response tendency induced by the subliminal prime than when the target is inconsistent with that, which is significantly correlated with the behavioral RTs (i.e., the compatibility effect). The results provide evidence for a framework in which temporal expectation enhances inhibitory control of unconscious processes. The mechanism is likely to be that temporal expectation enhances the activations afforded by subliminal stimuli and the strength of cognitive monitoring, so that the cognitive system suppresses these suspicious activations more strongly, preventing them from escaping and interfering with subsequent processing.
Authors
- Wang, Yongchun ;
- Cao, Jinlan ;
- Chen, Wandong ;
- Tang, Zhengqi ;
- Liu, Tingyi ;
- Mu, Zhen ;
- Liu, Peng ;
- Wang, Yonghui
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
- Lv, Wenzhen ;
- Liu, Peng ;
- Yu, Yihang ;
- Cai, Yebo ;
- Wei, Weijia ;
- Han, Chaofei ;
- Miao, Zhenzhen ;
- Xu, Ligang ;
- Wu, Guangbao ;
- Liu, Zhuang ;
- Chen, Runfeng
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
- Lv, Wenzhen ;
- Liu, Peng ;
- Yu, Yihang ;
- Cai, Yebo ;
- Wei, Weijia ;
- Han, Chaofei ;
- Miao, Zhenzhen ;
- Xu, Ligang ;
- Wu, Guangbao ;
- Liu, Zhuang ;
- Chen, Runfeng