JOURNAL ARTICLE

2025

• [A+] Liang Z, Hwang D, Chen S, Hoang NH, Khotchasing K, Melcer EF. (2025) User Preferences for Interaction Timing in Smartwatch Sleep Hygiene Games. In the Proceedings of the 2025 ACM CHI conference on Human Factors in Computing Systems (CHI 2025), Article No.: 470, Pages 1 - 17. Doi: https://doi.org/10.1145/3706598.3713591 【Acceptance rate = 7.8%, Core A+ CS Conference】# CHI articles are considered journal-level publications.[WoS/Scopus] 

• [Q1] Priyadarshana YHPP, Liang Z, Piumarta I. GEM: Graph Attention Encoder for Multi-task Depression Severity Detection in Multi-party Conversations. Social Network Analysis and Mining. [SCI/Scopus]【First author is PhD student】

• [Q1] Karunarathna TS, Liang Z. (2025) Development of Non-invasive Continuous Glucose Prediction Models Using Multi-Modal Wearable Sensors in Free-living Conditions. Sensors. [PubMed/SCI/Scopus]【First author is undergraduate 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] 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] 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.  [SCI/Scopus/PubMed]【First author is PhD student】

• [Q2] Saskovets M, Mykhailo Lohachov, Liang Z. (2025) Paralanguage as a Tool for Shaping Stress Response in Listeners: Multimodal Physiological Sensing Study. Comprehensive Psychoneuroendocrinology.  [PubMed/SCI/Scopus]【First author is PhD student】

• [Q2] Saskovets M, Mykhailo Lohachov, Zilu Liang. Validation of a New Stress Induction Protocol using Speech Improvisation. Brain Sciences. [PubMed/SCI/Scopus]【First author is PhD student】

• [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.  [PubMed/SCI/Scopus]【First author is PhD student】

• [Q2] Priyadarshana YHPP, Liang Z, Piumarta I. (2025) Who Says What (WSW) 2.0 : Utterance Semantic Modelling for Speaker Identification in Text-Based Multi-Party Conversations. SN Computer Science.  [Scopus]【First author is PhD student】

• Liang Z, Melcer E, Hoang HN, Khotchasing K. (2025) Sleep Hygiene Games and Gamification: Where Are We and Where Are We Heading? Frontiers in Sleep - Sleep and Circadian Rhythms.  [Scopus]

2024

• [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.  [SCI/Scopus/PubMed]【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. [SCI/Scopus/PubMed]【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. Doi: 22/09/2024:64063. [SCI/Scopus/PubMed]  

• [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.  [SCI/Scopus/PubMed]  

• [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.  Doi: 10.1007/s11325-024-03141-x. [SCI/Scopus/PubMed] 

• [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] 

2023

• [Q1] ​​Nhung, H. H., Liang Z. (2023) Knowledge discovery in ubiquitous and personal sleep-tracking: a scoping review. JMIR mHealth and uHealth 11:e42750 [PubMed/SCI/Scopus]【First author is master student】

• [Q1] 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. [PubMed/SCI/Scopus]  

• [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.  [SCI/Scopus] 

• Sirithummarak P, Liang Z. (2023) Developing a Cross-Platform Application for Integrating Real-time Time-series Data from Multiple Wearable Sensors. Engineering Proceedings 58(1):4. https://doi.org/10.3390/ecsa-10-16185. [Scopus]【First author is master student】

• Liang Z. (2023) Developing and Validating Ensemble Classifiers for At-Home Sleep Apnea Screening. Engineering Proceedings 58(1):49. https://doi.org/10.3390/ecsa-10-16184.  [Scopus] 

2022

• [Q2] ​Liang Z. (2022). Context-aware sleep health recommender systems (CASHRS): a narrative review.  Electronics 2022, 11(20), 3384. Doi: 10.3390/electronics1120338. [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 (Section: Medtech Data Analytics).  [PubMed/SCI/Scopus]

2021

• [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 (Section: 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 (Section: Health Informatics) 3:665946. Doi: 10.3389/fdgth.2021.665946.  [PubMed /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】

2020

• [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. [SCI/Scopus] 

2019

• [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]  # Featured in Techheading

• [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.[SCI/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.  [SCI/Scopus] 

• Liang Z, Chapa-Martell MA. (2019) Measurement accuracy of consumer sleep tracking wristbands is associated to users’ age and sleep efficiency. The Journal of Physical Fitness and Sports Medicine 8(6):394.​

2018

• [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. [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. 

2016

• [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. [SCI/Scopus]