| Effects of COVID-19 on college students’ mental health in the United States: Interview survey study C Son, S Hegde, A Smith, X Wang, F Sasangohar Journal of medical internet research 22 (9), e21279, 2020 | 3309 | 2020 |
| Investigating mental health of US college students during the COVID-19 pandemic: Cross-sectional survey study X Wang, S Hegde, C Son, B Keller, A Smith, F Sasangohar Journal of medical Internet research 22 (9), e22817, 2020 | 1504 | 2020 |
| Investigating popular mental health mobile application downloads and activity during the COVID-19 pandemic X Wang, C Markert, F Sasangohar Human Factors 65 (1), 50-61, 2023 | 55 | 2023 |
| Design and evaluation of an integrated, patient-focused electronic health record display for emergency medicine X Wang, TC Kim, S Hegde, DJ Hoffman, NC Benda, ES Franklin, ... Applied clinical informatics 10 (04), 693-706, 2019 | 14 | 2019 |
| A work-centered approach to system user-evaluation EM Roth, AM Bisantz, X Wang, T Kim, AZ Hettinger Journal of Cognitive Engineering and Decision Making 15 (4), 155-174, 2021 | 11 | 2021 |
| Modeling patient-related workload in the emergency department using electronic health record data X Wang, HJ Blumenthal, D Hoffman, N Benda, T Kim, S Perry, ES Franklin, ... International journal of medical informatics 150, 104451, 2021 | 11 | 2021 |
| Explaining supervised learning models: A preliminary study on binary classifiers X Wang, AM Bisantz, ML Bolton, L Cavuoto, V Chandola ergonomics in design 28 (3), 20-26, 2020 | 7 | 2020 |
| Artificial Intelligence–Based Consumer Health Informatics Application: Scoping Review O Asan, E Choi, X Wang Journal of Medical Internet Research 25, e47260, 2023 | 5 | 2023 |
| Modeling engineering persistence through expectancy value theory and machine learning techniques X Wang, A Dourado, PB Thomas, CR Bego 2022 IEEE Frontiers in Education Conference (FIE), 1-9, 2022 | 3 | 2022 |
| Investigating engineering persistence through expectancy value theory and machine learning techniques C Bego, P Thomas, X Wang, A Dourado 2022 ASEE Annual Conference & Exposition, 2022 | 3 | 2022 |
| Patient-related workload prediction in the emergency department: A big data approach X Wang, HJ Blumenthal, D Hoffman, N Benda, T Kim, S Perry, ES Franklin, ... Proceedings of the International Symposium on Human Factors and Ergonomics …, 2019 | 3 | 2019 |
| Lessons Learned From Hybrid Face-to-Face and Virtual Teaching of Various Industrial Engineering Courses During the COVID-19 Pandemic X Wang, C Son, F Sasangohar, J Moon 2021 ASEE Virtual Annual Conference Content Access, 2021 | 1 | 2021 |
| Assessing Interaction Strategies for Health IT: An Entropy Based Approach X Wang, R Berg, N McGeorge, D LaVergne, N Benda, A Bisantz Proceedings of the International Symposium on Human Factors and Ergonomics …, 2018 | 1 | 2018 |
| Early Prediction of First-Term Math Grades using Demographic and Survey Data PB Thomas, A Dourado, CR Bego, X Wang 2023 IEEE Frontiers in Education Conference (FIE), 1-5, 2023 | | 2023 |
| Preliminary Usability Evaluation of Personal Medical Devices towards Better Home Healthcare P Ranjan Jha, X Chen, X Wang Proceedings of the International Symposium on Human Factors and Ergonomics …, 2023 | | 2023 |
| Knowledge-reinforced Automatic Machine Learning Z Dong, X Wang, X Chen IIE Annual Conference. Proceedings, 1-7, 2023 | | 2023 |
| Mobile Health Solution for College Student Mental Health: Interview Study and Design Requirement Analysis X Wang, A Smith, B Keller, F Sasangohar arXiv preprint arXiv:2206.02960, 2022 | | 2022 |
| Cognitive Work Analysis and Visualization Design for the Graduate Admission Decision Making Process X Wang, AM Bisantz, ML Bolton, L Cavuoto, V Chandola Proceedings of the Human Factors and Ergonomics Society Annual Meeting 64 (1 …, 2020 | | 2020 |
| Preliminary Interview Study on the Opioid Prescription Decision Making Process X Wang, EM Roth, T Kim, J Arora, ES Franklin, AZ Hettinger, AM Bisantz Proceedings of the International Symposium on Human Factors and Ergonomics …, 2020 | | 2020 |
| Towards Better Interpretability of Machine Learning-Based Decision Support Systems X Wang State University of New York at Buffalo, 2020 | | 2020 |
Farzan SasangoharIndustrial and Systems Engineering, Texas A&M UniversityVerified email at tamu.edu
