PUBLICATIONS
PUBLICATIONS
Liang Z, Chapa-Martell MA. (2019) Accuracy of Fitbit wristbands in measuring sleep stage transitions and the effect of user-specific factors. JMIR mHealth and uHealth 7(6):e13384, DOI:10.2196/13384. 【Top 5% among papers published in 2019】
Liang Z, Chapa-Martell MA. (2018) Validity of consumer activity wristbands and wearable EEG for measuring overall sleep parameters and sleep structure in free-living conditions. Journal of Healthcare Informatics Research 2 (1-2): 152-178. 【Top 10% in 2018】
Liang Z, Ploderer B, Liu W, Nagata Y, Bailey J, Kulik L, Li Y. (2016). SleepExplorer: A visualization tool to make sense of correlations between personal sleep data and contextual factors. Personal and Ubiquitous Computing 20(6): 985-1000. 【Top 10% in 2016】
Liang Z, Chapa-Martell MA. (2021) A multi-level classification approach for sleep stage prediction with processed data derived from consumer wearable activity trackers. Frontiers in Digital Health (Section: Health Informatics) 3:665946. 【Top 15% in 2021】
Liang Z, Wakahara Y. (2014). Real-time Urban Traffic Amount Prediction Models for Dynamic Route Guidance Systems. EURASIP Journal on Wireless Communications and Networking, 2014: 85. 【Top 20% in 2014】
[Q2] Priyadarshana YHPP, Liang Z, Piumarta I. (2025) ExDoRA: Enhancing transferability of large language models for depression detection using free-text explanations. Frontiers in Artificial Intelligence 8. PubMed SCI Scopus 【First author is PhD student】
[Q1] Hoang NH, Liang Z. (2025) AI-driven sleep apnea screening with overnight blood oxygen saturation: current practices and future directions. Front. Digit. Health - Health Informatics. PubMed SCI Scopus 【First author is PhD student】
[Q1] Hoang NH, Liang Z. (2025) Detection and Severity Classification of Sleep Apnea Using Continuous Wearable SpO2 Signals: A Multi-Scale Feature Approach. Sensors 25(6), 1698. DOI: 10.3390/s25061698. PubMed SCI Scopus 【First author is PhD student】
[Q1] Saskovets M, Saponkova I, Liang Z. (2025) Effects of Sound Interventions on the Mental Stress Response in Adults: A Scoping Review. JMIR Mental Health. 22/11/2024:69120. DOI: 10.2196/preprints.69120. PubMed SCI Scopus 【First author is PhD student】
[Q1] Liang Z, Melcer EF, Khotchasing K, Chen S, Hwang D, Hoang NH. (2024) The Role of Relevance in Shaping Perceptions of Sleep Hygiene Games Among University Students: Mixed Methods Study. JMIR Serious Games 12:e64063. Doi: 22/09/2024:64063. PubMed SCI Scopus
[Q1] Liang Z. (2024) Developing Probabilistic Ensemble Machine Learning Models for Home-Based Sleep Apnea Screening using Overnight SpO2 Data at Varying Data Granularity. Sleep and Breathing 28: 2409-2420. Doi: 10.1007/s11325-024-03141-x. PubMed SCI Scopus
[Q1] Liang Z, Melcer E, Khotchasing K, Hoang NH. (2024) Co-design Personal Sleep Health Technology for and with University Students. Front. Digit. Health - Human Factors and Digital Health, 6:1371808. Doi: 10.3389/fdgth.2024.1371808. PubMed SCI Scopus
[Q2] Liang Z. (2024) More Haste, Less Speed?: Relationship between Response Time and Response Accuracy in Gamified Online Quizzes in an Undergraduate Engineering Course. Front. Educ. - Higher Education, 9. Doi: 10.3389/feduc.2024.1412954. SCI Scopus SCI Scopus
[Q1] Priyadarshana YHPP, Senanayake A, Liang Z, Piumarta I. (2024) Prompt Engineering for Digital Mental Health: A Short Review. Frontiers in Digital Health - Digital Mental Health 6:1410947. Doi: 10.3389/fdgth.2024.1410947. PubMed SCI Scopus 【First author is PhD student】
Saskovets M, Liang Z, Piumarta I, Saponkova I. (2024) Effects of Sound Interventions on the Mental Stress Response in Adults: Protocol for A Scoping Review. JMIR Research Protocols 13:e54030. Doi:10.2196/54030. PubMed SCI Scopus 【First author is PhD student】
[Q2] Liang Z. (2023) Novel method combining multiscale attention entropy of overnight blood oxygen level and machine learning for easy sleep apnea screening. Digital Health 9:1-19, Doi: 10.1177/2055207623121155. PubMed SCI Scopus
[Q1] Nhung, H. H., Liang Z. (2023) Knowledge discovery in ubiquitous and personal sleep-tracking: a scoping review. JMIR mHealth and uHealth 11:e42750. Doi:10.2196/42750. PubMed SCI Scopus 【First author is master student】
[Q1] Ploderer B, Rodgers S, Liang Z. (2023) What’s keeping teens up at night? Reflecting on sleep and technology habits with teens. Personal and Ubiquitous Computing, 27, 249–270. Doi: 10.1007/s00779-021-01661-x. SCI Scopus
Liang Z. (2023) Developing and Validating Ensemble Classifiers for At-Home Sleep Apnea Screening. Engineering Proceedings. 2023: 58(1):49. Doi:10.3390/ecsa-10-16184.
Sirithummarak P, Liang Z. (2023) Developing a Cross-Platform Application for Integrating Real-time Time-series Data from Multiple Wearable Sensors. Engineering Proceedings. 2023; 58(1):4. Doi:10.3390/ecsa-10-16185. Scopus 【First author is master student】
[Q2] Liang Z. (2022). Context-aware sleep health recommender systems (CASHRS): a narrative review. Electronics 2022, 11(20), 3384. PubMed SCI Scopus
[Q1] Liang Z. (2022). Mining associations between glycemic variability in awake-time and in-sleep among non-diabetic adults. Frontiers in Medical Technology - Medtech Data Analytics, 4:1026830. Doi:10.3389/fmedt.2022.1026830. PubMed SCI Scopus
[Q1] Liang Z. (2021) What does sleeping brain tell about stress? A pilot fNIRS study into stress-related cortical hemodynamic features during sleep. Frontiers in Computer Science - Mobile and Ubiquitous Computing 3:774949. Doi: 10.3389/fcomp.2021.774949. SCI Scopus
[Q1] Liang Z, Chapa-Martell MA. (2021) A multi-level classification approach for sleep stage prediction with processed data derived from consumer wearable activity trackers. Frontiers in Digital Health - Health Informatics 3:665946. Doi: 10.3389/fdgth.2021.665946. PubMed SCI Scopus
Bertrand L, Cleyet-Marrel N, Liang Z. (2021) Recognizing eating activities in free-living environment using consumer wearable devices. Engineering Proceedings 6(1): 58. Doi:10.3390/I3S2021Dresden-10141. 【First authors are visiting master students】 Scopus
[Q1] Liang Z, Ploderer B. (2020) “How does Fitbit measure brainwaves”: a qualitative study into the credibility of sleep-tracking technologies. PACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) 4(1):Article 17. Doi: 10.1145/3380994. SCI Scopus
[Q1] Liang Z, Chapa-Martell MA. (2019) Accuracy of Fitbit wristbands in measuring sleep stage transitions and the effect of user-specific factors. JMIR mHealth and uHealth 7(6):e13384, Doi:10.2196/13384. PubMed SCI Scopus
[Q2] Liang Z, Chapa-Martell MA. (2019) Not all errors are created equal: influence of user characteristics on measuring errors of consumer wearable devices for sleep tracking. EAI Endorsed Transactions on Pervasive Health and Technology 18(15):e4. Doi: 10.4108/eai.24-7-2018.159404. Scopus
[Q2] Liang Z, Yoshida Y, Iino N, Nishimura T, Chapa-Martell MA, Nishimura S.(2019) A pervasive sensing approach to automatic assessment of trunk coordination using mobile devices. EAI Endorsed Transactions on Pervasive Health and Technology 18(15):e5. Doi:10.4108/eai.13-7-2018.159604. Scopus
[Q1] Liang Z, Chapa-Martell MA. (2018) Validity of consumer activity wristbands and wearable EEG for measuring overall sleep parameters and sleep structure in free-living conditions. Journal of Healthcare Informatics Research 2 (1-2): 152-178, doi:10.1007/s41666-018-0013-1. PubMed SCI Scopus # Cited by UK Parliamentary Office of Sciences & Technology # Featured in Gizmodo
Yoshida Y, Liang Z, Nishimura S, Konosu H, Nagao T, Nishimura T. (2018) Quality evaluation for sports coaching service: evaluate trunk torsion by mobile terminal. Transaction of Information Processing Society of Japan 59(2): 591-601.
[Q1] Liang Z, Ploderer B, Liu W, Nagata Y, Bailey J, Kulik L, Li Y. (2016). SleepExplorer: A visualization tool to make sense of correlations between personal sleep data and contextual factors. Personal and Ubiquitous Computing 20(6): 985-1000. Doi: 10.1007/s00779-016-0960-6. SCI Scopus
[Q2] Liang Z, Wakahara Y. (2014). Real-time Urban Traffic Amount Prediction Models for Dynamic Route Guidance Systems. EURASIP Journal on Wireless Communications and Networking, 2014: 85. Doi: 10.1186/1687-1499-2014-85. SCI Scopus
Liang Z, Xiahou S, Chen D. (2010). Secured AODVjr Routing Protocol Based on SRP Algorithm. Journal of the University of Electronic Science and Technology of China 39(Suppl.): 121-126.
Zhao H, Jin J, Jiang P, Gao W, Liang Z. (2008). LabVIEW and PCI DAQ Card Based HTS Test and Control Platforms. Journal of Electronic Science and Technology of China, vol.6, no.2, 198-204.
Priyadarshana, Y.H.P.P., Liang, Z., Piumarta, I. (2023). HelaDepDet: A Novel Multi-class Classification Model for Detecting the Severity of Human Depression. In: Takada, H., Marutschke, D.M., Alvarez, C., Inoue, T., Hayashi, Y., Hernandez-Leo, D. (eds) Collaboration Technologies and Social Computing. CollabTech 2023. Lecture Notes in Computer Science, vol 14199. Springer, Cham. SCI Scopus 【First author is PhD student】
Liang Z. (2022). Not Just a Matter of Accuracy: A fNIRS Pilot Study into Discrepancy Between Sleep Data and Subjective Sleep Experience in Quantified-Self Sleep Tracking. In: Spinsante, S., Silva, B., Goleva, R. (eds) IoT Technologies for Health Care. HealthyIoT 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 432. Springer, Cham. SCI Scopus
Liang Z, Chapa-Martell MA (2021) Validation of Omron wearable blood pressure monitor HeartGuide in free-living environments. In: Ye J., O'Grady M.J., Civitarese G., Yordanova K. (eds) Wireless Mobile Communication and Healthcare. MobiHealth 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 362. Springer, Cham. SCI Scopus
Liang Z, Nishimura S, Nishimura T, Chapa-Martell MA. (2018). Investigating classroom activities in English conversation lessons based on activity coding and data visualization. Lecture Notes in Artificial Intelligence. Berlin: Springer. SCI Scopus
Liang Z, Liu W, Ploderer B, Bailey J, Kulik L, Li Y. (2017). Designing intelligent sleep analysis systems for automated contextual exploration on personal sleep-tracking data. In M. Otake, S. Kurahashi, Y. Ohta, K. Satoh, & D. Bekki (eds.) New Frontiers in Artificial Intelligence, 367-379. Berlin: Springer. SCI Scopus
Nishimura T, Liang Z, Nishimura S, et al. (2017). Axis visualizer: enjoy core torsion and be healthy for health promotion community support. In M. Otake, S. Kurahashi, Y. Ohta, K. Satoh, & D. Bekki (eds.) New Frontiers in Artificial Intelligence. Berlin: Springer. SCI Scopus
Nishimura T, Liang Z, et al. (2016) Health promotion community support for vitality and empathy: visualize quality of motion (QoM). In: Duffy V. (eds) Digital Human Modeling: Applications in Health, Safety, Ergonomics and Risk Management. DHM 2016. Lecture Notes in Computer Science, vol 9745. Springer, Cham. SCI Scopus
Liang Z, Wakahara Y. (2015). Speed-volume relationship model for speed estimation on urban roads in intelligent transportation systems. Progress in Systems Engineering, Advances in Intelligent Systems and Computing, 1089, 685-690. SCI Scopus
Liang Z, Wakahara Y. (2014). Automatic route shortening based on link quality classification in ad hoc networks. Advances in Systems Science, Advances in Intelligent Systems and Computing, 240, 345-354. Scopus