Replication data and code for: Artificial Intelligence for Net-Zero Construction (Frontiers in Sustainability)

This repository contains the analytical corpus and R replication script supporting the bibliometric review "Artificial Intelligence for Net-Zero Construction: A Bibliometric Mapping of Research Landscape, Thematic Clusters and Emerging Directions Across the AEC Industry" (submitted to Frontiers in Sustainability, Manuscript ID 1958541).

The corpus (n = 517 documents) was assembled from Scopus and Web of Science Core Collection (2017–2026, retrieved 26 May 2026) following a PRISMA-inspired identification and selection protocol, with three retracted records excluded from the original n = 520 search result.

replication_script.R reproduces all descriptive statistics, tables, and figures reported in the manuscript using the bibliometrix R package, including annual production trends, Bradford's Law journal core analysis, author productivity (Lotka's Law), collaboration networks, country-level production, keyword co-occurrence analysis, thematic mapping (Callon centrality-density), and thematic evolution across three periods (2017–2020, 2021–2022, 2023–2026).