Dr WANG, Shangqiquo

• Hearing assessment
• Speech perception in noise
• Digital hearing care service

* Corresponding author

Wang, S.*, Cullington, H., & Reed, N. (2026). Now Is the Era When Everyone Can Easily Measure and Monitor Hearing. The Hearing Journal, 79(2):p 4-5. https://doi.org/10.1097/01.HJ.0001180732.92232.39

Wang, S.*, & Mo, C. (2025). Evaluation of AI chatbots in hearing health: model timeliness and prompt design matter. International Journal of Audiology, 1–4. https://doi.org/10.1080/14992027.2025.2606193

Wang, S., & Wong, L. L. N. (2025). Exploring the potential of using the integrated Digit in Noise Test as a measure of speech recognition in older hearing aid users. American Journal of Audiology. https://doi.org/10.1044/2025_AJA-24-00264

Wang, S., Wong, L. L. N., & Shen, X. (2025). The Effect of Dialect and Accent on Digit Perception in Noise in Young Listeners with Normal Hearing. Journal of Speech, Language, and Hearing Research. https://doi.org/10.1044/2025_JSLHR-24-00472

Wang, S., Wong, L. L. N., & Pan, T. Y. (2025). Integrated digit in noise test (iDIN) for rapid hearing and cognitive screening: a preliminary exploration. Age and Ageing, 54(1), afaf009. https://doi.org/10.1093/ageing/afaf009

Goehring, T., Dang, T., Gaultier, C., & Wang, S. (2025). Effects of speaker voice and digit optimization on the recognition of digits in noise by normal hearing and cochlear implant listeners. https://doi.org/10.31219/osf.io/r4ejx

Wong, L. L. N., Wang, S.*, Ieong, A. I. C., Man, C. M. Y., & Pan, T. Y. (2024). Evaluating psychometric properties of the Cantonese integrated Digit-in-Noise Test: perhaps the 2-digit sequence can also be used for hearing screening. International Journal of Audiology, 1–6. https://doi.org/10.1080/14992027.2024.2424877

Wang, S., Mo, C., Zhao, C., Shen, X., & Chen, Y. (2024). Recommendations for Expanding the Clinical Role of Audiologists in Hospitals in Mainland China: Insights from a Survey-Based Study. Perspectives of the ASHA Special Interest Groups.https://doi.org/10.1044/2024_PERSP-24-00080

Wang, S., & Wong, L. L. N. (2024). An exploration of the memory performance in older adult hearing aid users on the integrated Digit-in-Noise Test. Trends in Hearing, 28, 23312165241253653. https://doi.org/10.1177/23312165241253653

Wang, S., Mo, C., Chen, Y., Dai, X., Wang, H., Shen, X. (2024). Exploring the Performance of ChatGPT-4 in Taiwan Audiologist Examination: Indicating the Potential of AI Chatbots in Hearing Care. JMIR Medical Education, 10, e55595. https://doi.org/10.2196/55595

Wang, S., Wong, L. L. N., & Chen, Y. (2024). Development of the mandarin reading span test and confirmation of its relationship with speech perception in noise. International Journal of Audiology,63(12), 1009–1018. https://doi.org/10.1080/14992027.2024.2305685

Wang, S., & Wong, L. L. N. (2024). Development of the Mandarin Digit-in-Noise Test and Examination of the Effect of the Number of Digits Used in the Test. Ear and Hearing, 45(3), 572–582. https://doi.org/10.1097/AUD.0000000000001447

Chen, Y., Wong, L. L. N., Kuehnel, V., Qian, J., Voss, S. C., & Wang, S. (2021). Can dual compression offer better Mandarin speech intelligibility and sound quality than fast-acting compression? Trends in Hearing, 25. https://doi.org/10.1177/2331216521997610

Monaghan, J. J. M., Goehring, T., Yang, X., Bolner, F., Wang, S., Wright, M. C. M., & Bleeck, S. (2017). Auditory inspired machine learning techniques can improve speech intelligibility and quality for hearing-impaired listeners. The Journal of the Acoustical Society of America, 141(3), 1985–1998. https://doi.org/10.1121/1.4977197