| A bibliometric review of large language models research from 2017 to 2023 L Fan, L Li, Z Ma, S Lee, H Yu, L Hemphill ACM Transactions on Intelligent Systems and Technology, 2023 | 147* | 2023 |
| ChatGPT in education: A discourse analysis of worries and concerns on social media HYLH Lingyao Li, Zihui Ma, Lizhou Fan, Sanggyu Lee Education and Information Technologies, 2023 | 104* | 2023 |
| How has airport service quality changed in the context of COVID-19: A data-driven crowdsourcing approach based on sentiment analysis L Li, Y Mao, Y Wang, Z Ma Journal of Air Transport Management 105, 102298, 2022 | 51 | 2022 |
| Leveraging social media data to study the community resilience of New York City to 2019 power outage L Li, Z Ma, T Cao International Journal of Disaster Risk Reduction 51, 101776, 2020 | 51 | 2020 |
| Data-driven investigations of using social media to aid evacuations amid Western United States wildfire season L Li, Z Ma, T Cao Fire Safety Journal 126, 103480, 2021 | 31 | 2021 |
| Can social media data be used to evaluate the risk of human interactions during the COVID-19 pandemic? L Li, Z Ma, H Lee, S Lee International Journal of Disaster Risk Reduction 56, 102142, 2021 | 22 | 2021 |
| Dynamic assessment of the COVID-19 vaccine acceptance leveraging social media data L Li, J Zhou, Z Ma, MT Bensi, MA Hall, GB Baecher Journal of Biomedical Informatics 129, 104054, 2022 | 20 | 2022 |
| Investigating disaster response for resilient communities through social media data and the Susceptible-Infected-Recovered (SIR) model: A case study of 2020 Western US wildfire … Z Ma, L Li, L Hemphill, GB Baecher, Y Yuan Sustainable Cities and Society 106, 105362, 2024 | 12 | 2024 |
| Ex post project risk assessment: Method and empirical study A Erfani, Z Ma, Q Cui, GB Baecher Journal of Construction Engineering and Management 149 (2), 04022174, 2023 | 12 | 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 e-prints, arXiv: 2403.16303, 2024 | 10* | 2024 |
| Social media crowdsourcing for earthquake damage assessment L Li, Z Ma, M Bensi, GB Baecher Geo-Risk 2023, 161-170, 2023 | 4 | 2023 |
| Can social media data be utilized to enhance early warning: Retrospective analysis of the us covid-19 pandemic L Li, L Gao, J Zhou, Z Ma, DF Choy, MA Hall medRxiv, 2021.04. 11.21255285, 2021 | 3 | 2021 |
| A review of the catalytic preparation of mesophase pitch Z Ma, T Yang, Y Song, W Chen, C Duan, H Song, X Tian, X Gong, Z Liu, ... New Carbon Materials 39 (4), 583-610, 2024 | 2 | 2024 |
| Appraising Situational Awareness in Social Media Data for Wildfire Response Z Ma, L Li, Y Yuan, GB Baecher ASCE Inspire 2023, 289-297, 2023 | 2 | 2023 |
| Surveying the Use of Social Media Data and Natural Language Processing Techniques to Investigate Natural Disasters Z Ma, L Li, Y Mao, Y Wang, OG Patsy, MT Bensi, L Hemphill, GB Baecher Natural Hazards Review 25 (4), 03124003, 2024 | 1 | 2024 |
| Assessing Response Disparities in California Wildland-Urban-Interface (WUI) Cities Using the Compartmental Model Z Ma, G Hu, TS Lin, L Li, S Hu, L Hagen, GB Baecher arXiv preprint arXiv:2411.09946, 2024 | | 2024 |
| Toward satisfactory public accessibility: A crowdsourcing approach through online reviews to inclusive urban design L Li, S Hu, Y Dai, M Deng, P Momeni, G Laverghetta, L Fan, Z Ma, ... arXiv preprint arXiv:2409.08459, 2024 | | 2024 |
| Natural Language Processing, Social Media, and Epidemic Modeling for Wildfire Response and Resilience Enhancement Z Ma University of Maryland, College Park, 2024 | | 2024 |
| Epidemic Model of Disaster Response in the Twitter Community: An Experiment With the 2020 Western US Wildfire Season Z Ma, L Li, M Bensi, GB Baecher AGU Fall Meeting Abstracts 2023 (726), NH41B-0726, 2023 | | 2023 |
| Thriving in a Pandemic: Lessons Learned from a Resilient University Program Seen Through the CoI Lens Z Ma, L Li, JCE Johnson arXiv preprint arXiv:2310.20183, 2023 | | 2023 |
Lizhou FanPostdoc, AI in Medicine @Harvard-MGBПідтверджена електронна адреса в bwh.harvard.edu