| Solar–thermal water evaporation: a review Y Pang, J Zhang, R Ma, Z Qu, E Lee, T Luo ACS Energy Letters 5 (2), 437-456, 2020 | 246 | 2020 |
| PI1M: a benchmark database for polymer informatics R Ma, T Luo Journal of Chemical Information and Modeling 60 (10), 4684-4690, 2020 | 94 | 2020 |
| Transfer learning study of gas adsorption in metal–organic frameworks R Ma, YJ Colon, T Luo ACS Applied Materials & Interfaces 12 (30), 34041-34048, 2020 | 66 | 2020 |
| Evaluating polymer representations via quantifying structure–property relationships R Ma, Z Liu, Q Zhang, Z Liu, T Luo Journal of chemical information and modeling 59 (7), 3110-3119, 2019 | 52 | 2019 |
| Origin of Hydrophilic Surface Functionalization-Induced Thermal Conductance Enhancement across Solid–Water Interfaces D Huang, R Ma, T Zhang, T Luo ACS applied materials & interfaces 10 (33), 28159-28165, 2018 | 33 | 2018 |
| Determining influential descriptors for polymer chain conformation based on empirical force-fields and molecular dynamics simulations R Ma, D Huang, T Zhang, T Luo Chemical Physics Letters 704, 49-54, 2018 | 33 | 2018 |
| Exploring High Thermal Conductivity Amorphous Polymers Using Reinforcement Learning M Ruimin, Z Hanfeng, L Tengfei ACS Applied Materials & Interfaces 14 (13), 15587–15598, 2022 | 32 | 2022 |
| Role of molecular polarity in thermal transport of boron nitride–organic molecule composites R Ma, X Wan, T Zhang, N Yang, T Luo ACS omega 3 (10), 12530-12534, 2018 | 31 | 2018 |
| Impact of surface and pore characteristics on fatigue life of laser powder bed fusion Ti–6Al–4V alloy described by neural network models S Moon, R Ma, R Attardo, C Tomonto, M Nordin, P Wheelock, M Glavicic, ... Scientific reports 11 (1), 20424, 2021 | 27 | 2021 |
| Machine learning-assisted exploration of thermally conductive polymers based on high-throughput molecular dynamics simulations R Ma, H Zhang, J Xu, L Sun, Y Hayashi, R Yoshida, J Shiomi, J Wang, ... Materials Today Physics 28, 100850, 2022 | 24 | 2022 |
| Thermal conductivity of polyelectrolytes with different counterions X Wei, R Ma, T Luo The Journal of Physical Chemistry C 124 (8), 4483-4488, 2020 | 21 | 2020 |
| Multi-modal intermediate integrative methods in neuropsychiatric disorders: A review W Yanlin, T Shi, M Ruimin, Z Ibrahim, W Yanjie, P Yi Computational and Structural Biotechnology 20, 6149-6162, 2022 | 8* | 2022 |
| Autism Spectrum Disorder Classification in Children based on Structural MRI Features Extracted using Contrastive Variational Autoencoder R Ma, R Xie, Y Wang, J Meng, Y Wei, W Xi, Y Pan arXiv preprint arXiv:2307.00976, 2023 | 2 | 2023 |
| Interfacial Thermal Transport in Boron Nitride-Polymer Nanocomposite R Ma, X Wan, T Zhang, N Yang, T Luo arXiv preprint arXiv:1711.11201, 2017 | 2 | 2017 |
| Meta-data Study in Autism Spectrum Disorder Classification Based on Structural MRI R Ma, Y Wang, Y Wei, Y Pan arXiv preprint arXiv:2206.05052, 2022 | 1 | 2022 |
| Data Augmentation Study in Structural Magnetic Resonance Imaging Based Autism Spectrum Disorder Classification 马瑞民， 谢锐涛， 黄莹， 郗文辉， 魏彦杰， 潘毅 Journal of Integration Technology 12 (6), 33-42, 2023 | | 2023 |
| Distinct Neurodevelopmental Patterns and Intermediate Integration-Based Predictive Modeling in Autism Spectral Disorder Y Wang, S Ma, R Ma, L Xiao, Y Wei, Y Pan bioRxiv, 2023.06. 26.546426, 2023 | | 2023 |
| Polymer Design Via Data-Driven Approaches R Ma University of Notre Dame, 2021 | | 2021 |
