Christopher J. Wood

机构：University of Nottingham · ORCID：0000-0002-6182-7779

发表论文 189 篇 · 总被引 5339 次 · h-index 40

代表论文

• Machine Learning and Deep Learning Methods for Enhancing Building Energy Efficiency and Indoor Environmental Quality – A Review (2022 · Energy and AI · 被引 293)
• The viability of double-skin façade systems in the 21st century: A systematic review and meta-analysis of the nexus of factors affecting ventilation and thermal performance, and building integration (2022 · Building and Environment · 被引 68)
• Real-time monitoring of occupancy activities and window opening within buildings using an integrated deep learning-based approach for reducing energy demand (2021 · Applied Energy · 被引 66)
• Binary Solvent System Used to Fabricate Fully Annealing‐Free Perovskite Solar Cells (2023 · Advanced Energy Materials · 被引 51)
• Back-Contact Perovskite Solar Cell Modules Fabricated via Roll-to-Roll Slot-Die Coating: Scale-Up toward Manufacturing (2025 · ACS Applied Energy Materials · 被引 16)
• Genome-wide quantification of contributions to sexual fitness identifies genes required for spore viability and health in fission yeast (2022 · PLoS Genetics · 被引 14)