Automated Author Profile

Liu, Peng

Current S-Index

382.6

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.7

Average Dataset Index per dataset

Total Datasets

583

Total datasets for this author

Average FAIR Score

48.9%

Average FAIR Score per dataset

Total Citations

461

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

Limited datasets
Only the first 500 datasets are displayed.

CCDC 2380194: 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

  • Sun, Juntao ;
  • Tugwell, Thomas H. ;
  • Madhusudhanan, Mithun C. ;
  • Xu, Letian ;
  • Yang, Shenghua ;
  • Liu, Peng ;
  • Engle, Keary M.
1 Citation0 Mentions50% FAIR0.7 Dataset Index
10.5517/ccdc.csd.cc2kwsgq2025

CCDC 2380193: 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

  • Sun, Juntao ;
  • Tugwell, Thomas H. ;
  • Madhusudhanan, Mithun C. ;
  • Xu, Letian ;
  • Yang, Shenghua ;
  • Liu, Peng ;
  • Engle, Keary M.
1 Citation0 Mentions50% FAIR0.7 Dataset Index
10.5517/ccdc.csd.cc2kwsfp2025

CCDC 2364265: 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

  • Sun, Juntao ;
  • Tugwell, Thomas H. ;
  • Madhusudhanan, Mithun C. ;
  • Xu, Letian ;
  • Yang, Shenghua ;
  • Liu, Peng ;
  • Engle, Keary M.
1 Citation0 Mentions50% FAIR0.7 Dataset Index
10.5517/ccdc.csd.cc2kc6ms2025

CCDC 2362076: 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

  • Sun, Juntao ;
  • Tugwell, Thomas H. ;
  • Madhusudhanan, Mithun C. ;
  • Xu, Letian ;
  • Yang, Shenghua ;
  • Liu, Peng ;
  • Engle, Keary M.
1 Citation0 Mentions15% FAIR0.7 Dataset Index
10.5517/ccdc.csd.cc2k8y0t2025

CCDC 2417055: 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

  • Sun, Juntao ;
  • Tugwell, Thomas H. ;
  • Madhusudhanan, Mithun C. ;
  • Xu, Letian ;
  • Yang, Shenghua ;
  • Liu, Peng ;
  • Engle, Keary M.
1 Citation0 Mentions50% FAIR0.7 Dataset Index
10.5517/ccdc.csd.cc2m44jg2025

CCDC 2416148: 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

  • Sun, Juntao ;
  • Tugwell, Thomas H. ;
  • Madhusudhanan, Mithun C. ;
  • Xu, Letian ;
  • Yang, Shenghua ;
  • Liu, Peng ;
  • Engle, Keary M.
1 Citation0 Mentions50% FAIR0.7 Dataset Index
10.5517/ccdc.csd.cc2m36872025

The Impact of Temporal Expectation on Unconscious Inhibitory Processing: A Computational Analysis Using Hierarchical Drift Diffusion Modeling

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
1 Citation0 Mentions85% FAIR0.5 Dataset Index
10.6084/m9.figshare.30189643.v12025

The Impact of Temporal Expectation on Unconscious Inhibitory Processing: A Computational Analysis Using Hierarchical Drift Diffusion Modeling

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
1 Citation0 Mentions85% FAIR0.7 Dataset Index
10.6084/m9.figshare.301896432025

CCDC 2472662: 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

  • Lv, Wenzhen ;
  • Liu, Peng ;
  • Yu, Yihang ;
  • Cai, Yebo ;
  • Wei, Weijia ;
  • Han, Chaofei ;
  • Miao, Zhenzhen ;
  • Xu, Ligang ;
  • Wu, Guangbao ;
  • Liu, Zhuang ;
  • Chen, Runfeng
1 Citation0 Mentions50% FAIR0.7 Dataset Index
10.5517/ccdc.csd.cc2p00912025

CCDC 2472661: 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

  • Lv, Wenzhen ;
  • Liu, Peng ;
  • Yu, Yihang ;
  • Cai, Yebo ;
  • Wei, Weijia ;
  • Han, Chaofei ;
  • Miao, Zhenzhen ;
  • Xu, Ligang ;
  • Wu, Guangbao ;
  • Liu, Zhuang ;
  • Chen, Runfeng
1 Citation0 Mentions50% FAIR0.7 Dataset Index
10.5517/ccdc.csd.cc2p00802025