| eToxPred: a machine learning-based approach to estimate the toxicity of drug candidates L Pu, M Naderi, T Liu, HC Wu, S Mukhopadhyay, M Brylinski BMC Pharmacology and Toxicology 20, 1-15, 2019 | 127 | 2019 |
| DeepDrug3D: classification of ligand-binding pockets in proteins with a convolutional neural network L Pu, RG Govindaraj, JM Lemoine, HC Wu, M Brylinski PLoS computational biology 15 (2), e1006718, 2019 | 108 | 2019 |
| A wearable pulse oximeter with wireless communication and motion artifact tailoring for continuous use PJ Chacon, L Pu, TH Da Costa, YH Shin, T Ghomian, H Shamkhalichenar, ... IEEE Transactions on Biomedical Engineering 66 (6), 1505-1513, 2018 | 41 | 2018 |
| Novel object-size measurement using the digital camera L Pu, R Tian, HC Wu, K Yan 2016 IEEE Advanced Information Management, Communicates, Electronic and …, 2016 | 17 | 2016 |
| Novel tailoring algorithm for abrupt motion artifact removal in photoplethysmogram signals L Pu, PJ Chacon, HC Wu, JW Choi Biomedical Engineering Letters 7, 299-304, 2017 | 15 | 2017 |
| GraphDTI: A robust deep learning predictor of drug-target interactions from multiple heterogeneous data G Liu, M Singha, L Pu, P Neupane, J Feinstein, HC Wu, J Ramanujam, ... Journal of cheminformatics 13, 1-17, 2021 | 14 | 2021 |
| CancerOmicsNet: a multi-omics network-based approach to anti-cancer drug profiling L Pu, M Singha, J Ramanujam, M Brylinski Oncotarget 13, 695, 2022 | 13 | 2022 |
| Pocket2Drug: an encoder-decoder deep neural network for the target-based drug design W Shi, M Singha, G Srivastava, L Pu, J Ramanujam, M Brylinski Frontiers in pharmacology 13, 837715, 2022 | 11 | 2022 |
| BionoiNet: ligand-binding site classification with off-the-shelf deep neural network W Shi, JM Lemoine, AEMA Shawky, M Singha, L Pu, S Yang, ... Bioinformatics 36 (10), 3077-3083, 2020 | 11 | 2020 |
| Novel three-hierarchy multiple-tag-recognition technique for next generation RFID systems L Pu, HC Wu, K Yan, Z Gao, X Wang, W Xiang IEEE Transactions on Wireless Communications 19 (2), 1237-1249, 2019 | 9 | 2019 |
| Novel robust photoplethysmogram-based authentication L Pu, PJ Chacon, HC Wu, JW Choi IEEE Sensors Journal 22 (5), 4675-4686, 2022 | 7 | 2022 |
| An integrated network representation of multiple cancer-specific data for graph-based machine learning L Pu, M Singha, HC Wu, C Busch, J Ramanujam, M Brylinski NPJ systems biology and applications 8 (1), 14, 2022 | 6 | 2022 |
| GraphGR: A graph neural network to predict the effect of pharmacotherapy on the cancer cell growth M Singha, L Pu, AEM Shawky, K Busch, HC Wu, J Ramanujam, ... bioRxiv, 2020.05. 20.107458, 2020 | 6 | 2020 |
| Artificial intelligence to guide precision anticancer therapy with multitargeted kinase inhibitors M Singha, L Pu, BA Stanfield, IK Uche, PJF Rider, KG Kousoulas, ... BMC cancer 22 (1), 1211, 2022 | 5 | 2022 |
| New multimedia archiving technique using multiple quick-response codes S Sarkar, L Pu, HC Wu, SCH Huang, Y Wu 2017 IEEE International Symposium on Broadband Multimedia Systems and …, 2017 | 5 | 2017 |
| Novel robust indoor device-free moving-object localization and tracking using machine learning with Kalman filter and smoother G Liu, P Neupane, HC Wu, W Xiang, L Pu, SY Chang IEEE Systems Journal 16 (4), 6253-6264, 2022 | 4 | 2022 |
| Graphsite: ligand binding site classification with deep graph learning W Shi, M Singha, L Pu, G Srivastava, J Ramanujam, M Brylinski Biomolecules 12 (8), 1053, 2022 | 4 | 2022 |
| Indoor object localization and tracking using deep learning over received signal strength G Liu, HC Wu, W Xiang, J Ye, Y Wu, L Pu 2020 IEEE International Symposium on Broadband Multimedia Systems and …, 2020 | 4 | 2020 |
| Unlocking the potential of kinase targets in cancer: insights from CancerOmicsNet, an AI-driven approach to drug response prediction in cancer M Singha, L Pu, G Srivastava, X Ni, BA Stanfield, IK Uche, PJF Rider, ... Cancers 15 (16), 4050, 2023 | 3 | 2023 |
| Graphsite: ligand-binding site classification using deep graph neural network W Shi, M Singha, L Pu, J Ramanujam, M Brylinski bioRxiv, 2021.12. 06.471420, 2021 | 2 | 2021 |
