ReviewHeliyon2025
A holistic exploration of porous asphalt mixtures: From durability and permeability to low-temperature and functional properties.
Review in Heliyon, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed.
- CBR-Based Skeleton Optimization for the Volumetric Design of Porous Asphalt Mixtures.Materials (Basel, Switzerland) · 2026Article
- Long non-coding RNAs in exercise: the hidden regulators of adaptation.Pflugers Archiv : European journal of physiology · 2026Review
- Cell-free therapeutics for non-healing wounds: role of MSC-derived exosomes in macrophage polarization, angiogenesis, and fibroblast-mediated ECM remodeling-bridging preclinical insights to clinical translation.Inflammopharmacology · 2026Review
- Engineered exosomes for targeted bone regeneration: design, delivery, and functionalization.Cell and tissue banking · 2026Review
- Wearable technology for athletes: material innovations, performance monitoring, and emerging paradigms.Mikrochimica acta · 2026Review
- Production of L-asparaginase from Candida utilis by solid-state fermentation: a comprehensive assessment of its antiproliferative potential on glioblastoma cells.World journal of microbiology & biotechnology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This article provides a comprehensive review of the research progress on porous asphalt mixtures, focusing on their durability, permeability, low-temperature performance, and functionality. The study examines factors influencing the anti-raveling performance of porous asphalt, including modified asphalt binders, fibers, aggregates, traffic loads, and environmental conditions. It also discusses the impact of porosity, pore structure, and temperature variations on the low-temperature cracking resistance of porous asphalt. Furthermore, the article explores the permeability of porous asphalt mixtures, emphasizing the influence of pore characteristics, water flow directions, clogging processes, and pavement designs. The sound absorption and skid resistance properties of porous asphalt are also analyzed, highlighting the importance of porosity, texture depth, material properties, and water film thickness. The study concludes by proposing improvement measures and optimization suggestions for porous asphalt mixtures, providing valuable references for future research and applications. Finally, several future research topics for porous asphalt mixture are proposed. Further studies on porous asphalt pavement involves seeking performance balance, ensuring improvement without detriment. Researching factor interactions, building a model, exploring industrial waste use to cut costs, reduce pollution and promote its environmental application for diverse traffic and environment needs.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.