| High Nursing Staff Turnover In Nursing Homes Offers Important Quality Information: Study examines high turnover of nursing staff at US nursing homes. A Gandhi, H Yu, DC Grabowski Health Affairs 40 (3), 384-391, 2021 | 184 | 2021 |
| Stigmatization in social media: Documenting and analyzing hate speech for COVID‐19 on Twitter L Fan, H Yu, Z Yin Proceedings of the Association for Information Science and Technology 57 (1 …, 2020 | 70 | 2020 |
| A bibliometric review of large language models research from 2017 to 2023 L Fan, L Li, Z Ma, S Lee, H Yu, L Hemphill arXiv preprint arXiv:2304.02020, 2023 | 66 | 2023 |
| ChatGPT in education: A discourse analysis of worries and concerns on social media L Li, Z Ma, L Fan, S Lee, H Yu, L Hemphill Education and Information Technologies, 1-34, 2023 | 39 | 2023 |
| Association between nursing home staff turnover and infection control citations L Loomer, DC Grabowski, H Yu, A Gandhi Health Services Research 57 (2), 322-332, 2022 | 33 | 2022 |
| # StopAsianHate: Archiving and analyzing Twitter discourse in the wake of the 2021 Atlanta spa shootings L Fan, H Yu, AJ Gilliland Proceedings of the Association for Information Science and Technology 58 (1 …, 2021 | 16 | 2021 |
| Using machine learning to predict concrete’s strength: learning from small datasets B Ouyang, Y Song, Y Li, F Wu, H Yu, Y Wang, Z Yin, X Luo, G Sant, ... Engineering Research Express 3 (1), 015022, 2021 | 15 | 2021 |
| Predicting concrete’s strength by machine learning: Balance between accuracy and complexity of algorithms N Ouyang, Y Song, Y Li, F Wu, H Yu, Y Wang, G Sant, M Bauchy ACI Materials Journal 117 (6), 2020 | 14 | 2020 |
| Using machine learning to enhance archival processing of social media archives L Fan, Z Yin, H Yu, AJ Gilliland Journal on Computing and Cultural Heritage (JOCCH) 15 (3), 1-23, 2022 | 9* | 2022 |
| Using a three-step social media similarity (TSMS) mapping method to analyze controversial speech relating to COVID-19 in Twitter collections Z Yin, L Fan, H Yu, AJ Gilliland 2020 IEEE International Conference on Big Data (Big Data), 1949-1953, 2020 | 6 | 2020 |
| Disparities and resilience: analyzing online Health information provision, behaviors and needs of LBGTQ+ elders during COVID-19 H Yu, L Fan, AJ Gilliland BMC Public Health 22 (1), 2338, 2022 | 5 | 2022 |
| Learning from Sparse Datasets: Predicting Concrete's Strength by Machine Learning B Ouyang, Y Li, Y Song, F Wu, H Yu, Y Wang, M Bauchy, G Sant arXiv preprint arXiv:2004.14407, 2020 | 5 | 2020 |
| A bibliometric review of large language models research from 2017 to 2023. arXiv 2023 L Fan, L Li, Z Ma, S Lee, H Yu, L Hemphill arXiv preprint arXiv:2304.02020, 0 | 5 | |
| Hate Speech on Social Media: A Global Approach B Di Fátima, A Munoriyarwa, A Gilliland, AE Msughter, A Vizcaíno-Verdú, ... Pontificia Universidad Católica del Ecuador, 2023 | 3 | 2023 |
| Aggravated anti-Asian hate since Covid-19 and the# stopasianhate movement: Connection, disjointness, and challenges L Fan, H Yu, AJ Gilliland Hate speech on social media: A global approach, 35-74, 2023 | 1 | 2023 |
| Large Language Models in Biomedical and Health Informatics: A Bibliometric Review H Yu, L Fan, L Li, J Zhou, Z Ma, L Xian, W Hua, S He, M Jin, Y Zhang, ... arXiv preprint arXiv:2403.16303, 2024 | | 2024 |
| Can Better Leadership Reduce Nursing Home Staff Turnover? JAR Williams, JE Collins, A Gandhi, H Yu, LI Boden, JN Katz, GR Wagner, ... Journal of the American Medical Directors Association 25 (3), 403-407. e1, 2024 | | 2024 |
| The Health and Employment Effects of Employer Vaccination Mandates A Gandhi, K Wen, B McGarry, H Yu, M Syme, S Berry, E White, V Mor, ... 2023 Annual Research Meeting, 2023 | | 2023 |
| The Health and Employment Effects of Employer Vaccination Mandates CM Kosar, K Wen, BE McGarry, H Yu, A Gandhi ASHEcon 2023 Conference, 2023 | | 2023 |
Lizhou FanPhD Candidate, University of Michigan School of InformationVerified email at umich.edu
