| Mining e-cigarette adverse events in social media using Bi-LSTM recurrent neural network with word embedding representation J Xie, X Liu, D Dajun Zeng Journal of the American Medical Informatics Association 25 (1), 72-80, 2018 | 43 | 2018 |
| Understanding Medication Nonadherence from Social Media: A Sentiment-Enriched Deep Learning Approach. J Xie, X Liu, D Dajun Zeng, X Fang MIS Quarterly 46 (1), 2022 | 23 | 2022 |
| Unveiling the hidden truth of drug addiction: A social media approach using similarity network-based deep learning J Xie, Z Zhang, X Liu, D Zeng Journal of Management Information Systems 38 (1), 166-195, 2021 | 21 | 2021 |
| Readmission Prediction for Patients with Heterogeneous Hazard: A Trajectory-Based Deep Learning Approach J Xie, B Zhang, J Ma, DD Zeng, J Lo Ciganic SSRN, 2018 | 13* | 2018 |
| Understanding Reasons for Medication Nonadherence: An Exploration in Social Media Using Sentiment-Enriched Deep Learning Approach J Xie, X Liu, DD Zeng, X Fang International Conference on Information Systems (ICIS) 2017, 2017 | 10 | 2017 |
| Using deep learning to improve medication safety: the untapped potential of social media J Xie, DD Zeng, ZA Marcum Therapeutic Advances in Drug Safety, 2017 | 10 | 2017 |
| Understanding Medication Nonadherence from Social Media: A Sentiment-Enriched Deep Learning Approach J Xie, X Liu, DD Zeng, X Fang SSRN, 2017 | 6 | 2017 |
| Unbox the Black-Box: Predict and Interpret YouTube Viewership Using Deep Learning J Xie, Y Chai, X Liu Journal of Management Information Systems 40 (2), 541-579, 2023 | 5 | 2023 |
| An Interpretable Deep Learning Approach to Understand Health Misinformation Transmission on YouTube J Xie, Y Chai, X Liu | 5 | 2022 |
| Write like a pro or an amateur? Effect of medical language formality J Xie, B Zhang, S Brown, D Zeng ACM Transactions on Management Information Systems 12 (3), 1-25, 2021 | 5 | 2021 |
| Readmission Risk Prediction for Patients with Heterogeneous Hazard: A Trajectory-Aware Deep Learning Approach J Xie, B Zhang International Conference on Information Systems (ICIS) 2018, 2018 | 5 | 2018 |
| Care for the Mind Amid Chronic Diseases: An Interpretable AI Approach Using IoT J Xie, X Zhao, X Liu, X Fang arXiv preprint arXiv:2211.04509, 2022 | 3 | 2022 |
| Patient Dropout Prediction in Virtual Health: A Multimodal Dynamic Knowledge Graph and Text Mining Approach S Geng, W Zhang, J Xie, G Liang, B Niu arXiv preprint arXiv:2306.03833, 2023 | 2 | 2023 |
| Depression Detection Using Digital Traces on Social Media: A Knowledge-aware Deep Learning Approach W Zhang, J Xie, Z Zhang, X Liu arXiv preprint arXiv:2303.05389, 2023 | 2 | 2023 |
| Understanding Health Misinformation Transmission: An Interpretable Deep Learning Approach to Manage Infodemics J Xie, Y Chai, X Liu arXiv, 2020 | 2 | 2020 |
| Discovering Barriers to Opioid Addiction Treatment from Social Media: A Similarity Network-Based Deep Learning Approach J Xie, Z Zhang, X Liu, DD Zeng SSRN, 2019 | 2 | 2019 |
| Readmission Prediction Using Trajectory-Based Deep Learning Approach J Xie, B Zhang, D Zeng International Conference on Smart Health (ICSH) 2018, 224-230, 2018 | 1 | 2018 |
| Consumers’ Purchase Intention of Online Product Customization Using Different Terminals with/without Default Template J Xie, W Zhu, K Wang International Conference on HCI in Business 2015, 403-413, 2015 | 1 | 2015 |
| Few-Shot Learning for Chronic Disease Management: Leveraging Large Language Models and Multi-Prompt Engineering with Medical Knowledge Injection H Liu, W Zhang, J Xie, B Kim, Z Zhang, Y Chai | | 2024 |
| Short-Form Videos and Mental Health: A Knowledge-Guided Neural Topic Model J Xie, R Liang, Y Chai, Y Liu, D Zeng | | 2023 |
Daniel Dajun Zeng Professor of MIS. Affiliations: University of Arizona and Chinese Academy of SciencesVerified email at ia.ac.cn
