| Self-reported COVID-19 symptoms on Twitter: an analysis and a research resource A Sarker, S Lakamana, W Hogg-Bremer, A Xie, MA Al-Garadi, YC Yang Journal of the American Medical Informatics Association 27 (8), 1310-1315, 2020 | 162 | 2020 |
| Extending the coherence of a quantum dot hybrid qubit B Thorgrimsson, D Kim, YC Yang, LW Smith, CB Simmons, DR Ward, ... npj Quantum Information 3 (1), 32, 2017 | 97 | 2017 |
| Text classification models for the automatic detection of nonmedical prescription medication use from social media MA Al-Garadi, YC Yang, H Cai, Y Ruan, K O’Connor, GH Graciela, ... BMC medical informatics and decision making 21, 1-13, 2021 | 82 | 2021 |
| Achieving high-fidelity single-qubit gates in a strongly driven charge qubit with 1/f charge noise YC Yang, SN Coppersmith, M Friesen npj Quantum Information 5 (1), 12, 2019 | 50 | 2019 |
| Achieving high-fidelity single-qubit gates in a strongly driven silicon-quantum-dot hybrid qubit YC Yang, SN Coppersmith, M Friesen Physical Review A 95 (6), 062321, 2017 | 37 | 2017 |
| Natural language model for automatic identification of intimate partner violence reports from twitter MA Al-Garadi, S Kim, Y Guo, E Warren, YC Yang, S Lakamana, A Sarker Array 15, 100217, 2022 | 36 | 2022 |
| The role of natural language processing during the COVID-19 pandemic: health applications, opportunities, and challenges MA Al-Garadi, YC Yang, A Sarker Healthcare 10 (11), 2270, 2022 | 26 | 2022 |
| Automatic gender detection in Twitter profiles for health-related cohort studies YC Yang, MA Al-Garadi, JS Love, J Perrone, A Sarker JAMIA open 4 (2), ooab042, 2021 | 22 | 2021 |
| High-fidelity single-qubit gates in a strongly driven quantum-dot hybrid qubit with charge noise YC Yang, SN Coppersmith, M Friesen Physical Review A 100 (2), 022337, 2019 | 21 | 2019 |
| A text classification approach for the automatic detection of twitter posts containing self-reported covid-19 symptoms MA Al-Garadi, YC Yang, S Lakamana, A Sarker | 20 | 2020 |
| Thematic analysis of reddit content about buprenorphine-naloxone using manual annotation and natural language processing techniques RL Graves, J Perrone, MA Al-Garadi, YC Yang, JS Love, K O’Connor, ... Journal of Addiction Medicine, 2022 | 18 | 2022 |
| High-fidelity entangling gates for quantum-dot hybrid qubits based on exchange interactions YC Yang, SN Coppersmith, M Friesen Physical Review A 101 (1), 012338, 2020 | 15 | 2020 |
| Extending the coherence of a quantum dot hybrid qubit. npj Quantum Inf. 3 B Thorgrimsson, D Kim, YC Yang, LW Smith, CB Simmons, DR Ward, ... | 15 | 2017 |
| Automatic detection of twitter users who express chronic stress experiences via supervised machine learning and natural language processing YC Yang, A Xie, S Kim, J Hair, M Al-Garadi, A Sarker CIN: Computers, Informatics, Nursing 41 (9), 717-724, 2023 | 14 | 2023 |
| Comparison of pretraining models and strategies for health-related social media text classification Y Guo, Y Ge, YC Yang, MA Al-Garadi, A Sarker Healthcare 10 (8), 1478, 2022 | 14 | 2022 |
| Few-shot learning for medical text: A systematic review Y Ge, Y Guo, YC Yang, MA Al-Garadi, A Sarker arXiv preprint arXiv:2204.14081, 2022 | 14 | 2022 |
| A light-weight text summarization system for fast access to medical evidence A Sarker, YC Yang, MA Al-Garadi, A Abbas Frontiers in digital health 2, 585559, 2020 | 11 | 2020 |
| Automatic breast cancer cohort detection from social media for studying factors affecting patient-centered outcomes MA Al-Garadi, YC Yang, S Lakamana, J Lin, S Li, A Xie, W Hogg-Bremer, ... Artificial Intelligence in Medicine: 18th International Conference on …, 2020 | 10 | 2020 |
| Large-scale social media analysis reveals emotions associated with nonmedical prescription drug use AGM Ali, S LoveJennifer Health data science, 2022 | 9 | 2022 |
| Can accurate demographic information about people who use prescription medications nonmedically be derived from Twitter? YC Yang, MA Al-Garadi, JS Love, HLF Cooper, J Perrone, A Sarker Proceedings of the National Academy of Sciences 120 (8), e2207391120, 2023 | 8 | 2023 |
