Bibliometric dataset for "Comparative Study on Nightscape Lighting of Urban Historical Built Environment
收藏资源简介:
Title: Raw Bibliographic Dataset for Bibliometric Analysis of Nightscape Lighting in Urban Historical Built Environments Description: This dataset contains the raw bibliographic records used for the bibliometric analysis and knowledge graph visualization of research on "Nightscape Lighting in Urban Historical Built Environments", processed using CiteSpace (Version 6.3.R1). The data cover the period from January 1, 2000 to December 31, 2025. The dataset consists of two parts corresponding to international and Chinese literature: 1. International Literature (Web of Science – WoS): - Database Source: Web of Science Core Collection - Search Strategy: (Ancient buildings orhistorical districts ortraditional districts orancient cities and lightingor night scene lighting) - Time Span: 2000–2025 - Selection Criteria: Irrelevant items were removed by manual screening. - Final Count: 52 valid records - Format: Plain Text File (Full Record and Cited References) 2. Chinese Literature (CNKI – China National Knowledge Infrastructure): - Database Source: CNKI Chinese Journal Database - Search Strategy: (Traditional buildings orhistorical districts or traditionalneighborhoods or ancientcity) and (Lighting orNighttime lighting) - Time Span: 2000–2025 - Selection Criteria: Irrelevant records removed manually. - Final Count: 91 valid records - Format: RefWorks / Plain Text (converted for CiteSpace compatibility) Software: CiteSpace 6.3.R1 File Structure: - WOS_Search_Raw.txt : Raw exported file from Web of Science (international data) - CNKI_Converted_Data.txt : Converted CNKI data for CiteSpace analysis (Chinese data) - README.txt : This file Note: The dataset represents the final filtered set after manual exclusion of irrelevant records. The analysis focuses on the evolution, research fronts, and thematic structure of nightscape lighting studies in urban historical built environments, both internationally and in China.



