Measures and modalities in restorative virtual natural environments: An integrative narrative review. - Tomi Nukarinen; Jussi Rantala; Kalevi Korpela; Matthew H. E. M. Browning; Howell O. Istance; Veikko Surakka; Roope Raisamo (Comput. Hum. Behav., 2022)

Artificial Intelligence for Climate Smart Forestry: A Forward Looking Vision. - Feng Luo 001; Ling Liu; G. Geoff Wang; Vijay Kumar 001; Mark S. Ashton; Jacob D. Abernethy; Fatemeh Afghah; Matthew H. E. M. Browning; David Coyle; Philip M. Dames; Tom O'Halloran; James Hays; et al. (CogMI, 2023)

Examining the joint effect of air pollution and green spaces on stress levels in South Korea: using machine learning techniques. - Khadija Ashraf; Yoo Min Park; Matthew H. E. M. Browning; Jue Wang 007; Ruoyu Wang 011; Kangjae Lee (Int. J. Digit. Earth, 2024)

Optimizing Virtual Nature for Psychological and Physiological Well-Being: A Systematic Review of the Moderating Effects of Duration, Nature Type, Sample Characteristics, and Immersiveness and Potential Risks of Bias. - Ahmad Bolouki; Olivia McAnirlin; Matthew H. E. M. Browning; Allison Maynard (Int. J. Hum. Comput. Interact., 2025)