| Boosting the efficiency of a footstep piezoelectric-stack energy harvester using the synchronized switch technology H Liu, R Hua, Y Lu, Y Wang, E Salman, J Liang Journal of intelligent material systems and structures 30 (6), 813-822, 2019 | 34 | 2019 |
| Monitoring insole (MONI): A low power solution toward daily gait monitoring and analysis R Hua, Y Wang IEEE sensors journal 19 (15), 6410-6420, 2019 | 28 | 2019 |
| A nonlinear interface integrated lever mechanism for piezoelectric footstep energy harvesting R Hua, H Liu, H Yang, Y Wang, J Ferrante Applied Physics Letters 113 (5), 2018 | 28 | 2018 |
| Smart insoles review (2008-2021): Applications, potentials, and future I Almuteb*, R Hua*, Y Wang Smart Health, 100301, 2022 | 23 | 2022 |
| A customized convolutional neural network model integrated with acceleration-based smart insole toward personalized foot gesture recognition R Hua, Y Wang IEEE Sensors Letters 4 (4), 1-4, 2020 | 11 | 2020 |
| Accurate personal ultraviolet dose estimation with multiple wearable sensors J Li, Y Liu, H Li, R Hua, CJ Xue, HG Lee, H Yang 2016 IEEE 13th International Conference on Wearable and Implantable Body …, 2016 | 8 | 2016 |
| Robust foot motion recognition using stride detection and weak supervision-based fast labeling R Hua, Y Wang IEEE Sensors Journal 21 (14), 16245-16255, 2021 | 6 | 2021 |
| Age-dependent mobility decline analysis through sequential foot motion reproduction R Hua, Y Wang IEEE Sensors Letters 5 (11), 1-4, 2021 | 5 | 2021 |
| Maximum power point tracking for a multi-layered piezoelectric heel charger with a levered mechanism toward impact-based energy harvesting R Hua, S Marin-Quiros, HK Mohan, Y Wang Review of Scientific Instruments 93 (9), 2022 | 4 | 2022 |
| Distinguishing medication ON and OFF for Parkinson’s disease through repetitive foot motion recognition and analysis R Hua, Y Wang IEEE Sensors Journal 22 (12), 12219-12227, 2022 | 4 | 2022 |
| Insole-based falling risk evaluation for patients with Parkinson's disease through walking while holding a cup of water R Hua, N Nguyen, A Jawad, K Kazmierski, B White, Y Wang IEEE Sensors Letters 6 (6), 1-4, 2022 | 4 | 2022 |
| Daily Locomotor Movement Recognition with a Smart Insole and a Pre-defined Route Map: Towards Early Motor Dysfunction Detection* R Hua, Y Wang 2019 IEEE Healthcare Innovations and Point of Care Technologies,(HI-POCT), 87-90, 2019 | 4 | 2019 |
| Toe Tapping Based Falling Risk Evaluation for Patients With Parkinson's Disease Using Monitoring Insoles R Hua, Y Wang, DM Kennedy, JE Hubbard, Y Wang IEEE Sensors Letters 6 (6), 1-4, 2022 | 1 | 2022 |
| Utility of White Light Scanning as an alternative to computed tomography to evaluate severity of pectus excavatum deformity M Carter, R Hua, JB Pitt, S Zeineddin, A Perez, L Sands, S Kujawa, ... Journal of Pediatric Surgery, 2024 | | 2024 |
| Step cadence as a novel objective postoperative recovery metric in children who undergo laparoscopic appendectomy M Carter, S Zeineddin, I Bai, JB Pitt, R Hua, S Kwon, HMK Ghomrawi, ... Surgery, 2024 | | 2024 |
| Stage-Wise Data Balancing Promoting Toe-tapping-based Classification of Parkinson's Disease Progression using Smart Insoles Y Wang, R Hua, I Almuteb | | 2023 |
| Evaluation and Implementation of a Fast Butterfly Control Valve for Atomic Layer Deposition Process R Hua, G Hill, M Ryan, Q Li, D Rowell, E Hill 2023 MKS Instruments Global Technology Conference, 2023 | | 2023 |
| Smart Throttle Valve with Real Time Torque Monitoring R Hua, G Hill, M Ryan, Q Li, D Rowell, E Hill 2023 MKS Instruments Global Technology Conference, 2023 | | 2023 |
| Foot Motion-Based Falling Risk Evaluation for Patients with Parkinson’s Disease R Hua Texas A&M University, 2022 | | 2022 |
| Flexible Monitoring Insole for Early-Stage Parkinson’s Disease Detection and After Diagnosis Patient Life Quality and Treatment Evaluation Y Wang, R Hua US Patent App. 62/863,854, 2020 | | 2020 |
Ya WangAssociate Professor, Texas A&M UniversityVerified email at tamu.edu
