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Visualized analysis of knowledge development in green building based on bibliographic data mining

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Abstract

Against the background of increasingly prominent resource and environment issues, green building has attracted considerable attention from both researchers and practitioners and has led to a large number of related researches. Referring to 2304 publications searched from SCIE and SSCI, this paper systematically excavates and visually displays the dynamics of knowledge development in the green building domain by using bibliometric. The results indicated that the USA, China, and UK occupy dominant positions in the green building field; Energy and Buildings becomes the most productive journal followed by Building and Environment and Building Research and Information; Hong Kong Polytechnic University, University of British Columbia, and National University of Singapore are the most prestigious institutions; Pro. Cole RJ, Pro. Shen LY, and Pro. Zuo J are the authoritative scholars. In addition, “life cycle assessment,” “assessment tool,” “driver,” and “indoor environment quality” are the main research areas in this domain; 2005–2010 is a historical golden period in the development of this field in which publications were widely accepted; obstacles in the promotion of green building and project management issues in implementation will attract more and more attentions from scholars.

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Acknowledgements

The authors acknowledge the Key Research and Development Plan of Shaanxi Province (China, No: 2018ZDCXL-SF-03-04), the Chinese Postdoctoral Science Foundation (China, No: 2018M633480), and MOE (Ministry of Education in China) Project of Humanities and Social Sciences (China, No: 18YJA630068).

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Correspondence to Mengmeng Wang.

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Liu, X., Wang, M. & Fu, H. Visualized analysis of knowledge development in green building based on bibliographic data mining. J Supercomput 76, 3266–3282 (2020). https://doi.org/10.1007/s11227-018-2543-y

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