Algebraic graph-assisted bidirectional transformers for molecular property prediction D Chen, K Gao, DD Nguyen, X Chen, Y Jiang, GW Wei, F Pan Nature communications 12 (1), 3521, 2021 | 174 | 2021 |
Encoding the atomic structure for machine learning in materials science S Li, Y Liu, D Chen, Y Jiang, Z Nie, F Pan Wiley Interdisciplinary Reviews: Computational Molecular Science 12 (1), e1558, 2022 | 70 | 2022 |
Topological representations of crystalline compounds for the machine-learning prediction of materials properties Y Jiang, D Chen, X Chen, T Li, GW Wei, F Pan npj computational materials 7 (1), 28, 2021 | 61 | 2021 |
Extracting predictive representations from hundreds of millions of molecules D Chen, J Zheng, GW Wei, F Pan The journal of physical chemistry letters 12 (44), 10793-10801, 2021 | 55 | 2021 |
Low-temperature prepared carbon electrodes for hole-conductor-free mesoscopic perovskite solar cells G Yue, D Chen, P Wang, J Zhang, Z Hu, Y Zhu Electrochimica Acta 218, 84-90, 2016 | 36 | 2016 |
A new MaterialGo database and its comparison with other high-throughput electronic structure databases for their predicted energy band gaps JS Jie, MY Weng, SN Li, D Chen, SC Li, WJ Xiao, JX Zheng, F Pan, ... Science China Technological Sciences 62, 1423-1430, 2019 | 35 | 2019 |
Topology-based machine learning strategy for cluster structure prediction X Chen, D Chen, M Weng, Y Jiang, GW Wei, F Pan The journal of physical chemistry letters 11 (11), 4392-4401, 2020 | 31 | 2020 |
Discovering unusual structures from exception using big data and machine learning techniques J Jie, Z Hu, G Qian, M Weng, S Li, S Li, M Hu, D Chen, W Xiao, J Zheng, ... Science Bulletin 64 (9), 612-616, 2019 | 31 | 2019 |
Persistent hyperdigraph homology and persistent hyperdigraph Laplacians D Chen, J Liu, J Wu, GW Wei arXiv preprint arXiv:2304.00345, 2023 | 28 | 2023 |
Path topology in molecular and materials sciences D Chen, J Liu, J Wu, GW Wei, F Pan, ST Yau The journal of physical chemistry letters 14 (4), 954-964, 2023 | 25 | 2023 |
Proteome-informed machine learning studies of cocaine addiction K Gao, D Chen, AJ Robison, GW Wei The journal of physical chemistry letters 12 (45), 11122-11134, 2021 | 21 | 2021 |
Machine learning analysis of cocaine addiction informed by DAT, SERT, and NET-based interactome networks H Feng, K Gao, D Chen, L Shen, AJ Robison, E Ellsworth, GW Wei Journal of chemical theory and computation 18 (4), 2703-2719, 2022 | 20 | 2022 |
High throughput identification of Li ion diffusion pathways in typical solid state electrolytes and electrode materials by BV-Ewald method D Chen, J Jie, M Weng, S Li, D Chen, F Pan, LW Wang Journal of Materials Chemistry A 7 (3), 1300-1306, 2019 | 19 | 2019 |
Tidal: topology-inferred drug addiction learning Z Zhu, B Dou, Y Cao, J Jiang, Y Zhu, D Chen, H Feng, J Liu, B Zhang, ... Journal of chemical information and modeling 63 (5), 1472-1489, 2023 | 16 | 2023 |
Multiscale topology-enabled structure-to-sequence transformer for protein–ligand interaction predictions D Chen, J Liu, GW Wei Nature Machine Intelligence 6 (7), 799-810, 2024 | 12 | 2024 |
Correlating Rate‐Dependent Transition Metal Dissolution between Structure Degradation in Li‐Rich Layered Oxides B Cao, T Li, W Zhao, L Yin, H Cao, D Chen, L Li, F Pan, M Zhang Small 19 (42), 2301834, 2023 | 11 | 2023 |
Application of topology-based structure features for machine learning in materials science S Zheng, H Ding, S Li, D Chen, F Pan Chinese Journal of Structural Chemistry 42 (7), 100120, 2023 | 9 | 2023 |
Neighborhood path complex for the quantitative analysis of the structure and stability of carboranes J Liu, D Chen, F Pan, J Wu Journal of Computational Biophysics and Chemistry 22 (04), 503-511, 2023 | 7 | 2023 |
A descriptor of “material genes”: Effective atomic size in structural unit of ionic crystals D Chen, SN Li, JS Jie, SB Li, SS Zheng, MY Weng, CC Yu, SC Li, ... Science China Technological Sciences 62, 849-855, 2019 | 7 | 2019 |
Neighborhood hypergraph model for topological data analysis J Liu, D Chen, J Li, J Wu Computational and Mathematical Biophysics 10 (1), 262-280, 2022 | 5 | 2022 |