Global evolution of research on green energy and environmental technologies: a bibliometric study
Abstract
To better grasp developments and trends in research on green energy and environmental technologies, the published literatures in the Web of Science Core Collection database from 1998 to 2020 were utilized to reveal critical information and guidance on what has been investigated, and what are the changes in research interests using a bibliometric method. Herein, yearly quantitative distribution of literatures, author contribution and collaboration, productive and influential institutions and countries/territories, co-citation analysis, keywords co-occurrence analysis, and research frontier identification are analyzed via information visualization technology. The results show that the publications on green energy and environmental technologies have grown exponentially, that China, the USA, and Italy are the most active countries, but the global cooperation is not close at present. The research frontier identification results reveal that the categories of energy, wastewater, and performance remain stable, while the trending up and emerging categories of catalyst and CO 2 emission show clear shift over the last decade, indicating that catalytic production of clean energy and value-added chemicals, strategies to reduce greenhouse gas emissions, and other related studies to solve the global energy crisis and environmental problems are the research frontiers. This bibliometric study provides unique insights and offers research guidance on green energy and environmental technologies.
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One reason for this unbalanced state may be the different perspectives, experimental designs, and studies in different directions of ACT.
“One of the reasons for this unbalanced state may be the different perspectives, experimental designs, and studies in different directions of ACT”
From Characteristics and trends in acceptance and commitment therapy research: A bibliometric analysis (2022) · cites this paper as Tan et al., 2021
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Flagged first, then by citations
Cited by
Sorted by citations
Characteristics and trends in acceptance and commitment therapy research: A bibliometric analysis
Li, Z., Shang, W., Wang, C., Yang, K., & Guo, J. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.980848 · Cited by 36 · see citing works
“One of the reasons for this unbalanced state may be the different perspectives, experimental designs, and studies in different directions of ACT (Barida and Widyastuti, 2019; Li H. et al., 2021; Tan et al., 2021; Reyes, 2022).”
BackgroundHusain, R., Ratna, V. V., & Saxena, A. (2023) · Journal of Hospitality Marketing & Management · doi:10.1080/19368623.2023.2232382 · Cited by 34 · see citing works
Atadoga, A., Umoga, U. J., Lottu, O. A., & Sodiya, E. O. (2024) · World Journal of Advanced Engineering Technology and Sciences · doi:10.30574/wjaets.2024.11.1.0052 · Cited by 22 · see citing works
“The concept of green computing has undergone a notable evolution since its inception, reflecting changing attitudes towards environmental sustainability and technological innovation (Tan et al ., 2021).”
Background
- Authors
- Tan, H., Li, J., He, M., Li, J., Zhi, D., Qin, F., & Zhang, C.
- Affiliations
- Hunan University (CN)
- Central South University (CN)
- Hunan Agricultural University (CN)
- Corresponding author
- Li, Jialing
- Li, Jiayu
- Venue
- Journal of Environmental Management
- Publisher
- Elsevier BV
- Published
- 2021-11
- Volume
- 297
- Pages
- 113382
- ISSN
- 0301-4797 (ISSN-L)
- OpenAlex
- W3192951273
- Cited by
- 357
- References
- 62
- Citations by year
- 2026: 46 · 2025: 77 · 2024: 88 · 2023: 80 · 2022: 54 · 2021: 12
- FWCI
- 33.81
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Journal of Environmental Management (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Key Technologies Research and Development Program (2015BAH22F01)
- National Natural Science Foundation of China (51809090, 61772186)
- State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › scientometrics and bibliometrics research
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Energy and Environmental Sustainability
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Psychology Research and Bibliometrics
- Keywords
- clean energy, environmental technology, research trends, research frontiers, international research collaboration, co-citation analysis, keyword co-occurrence, CO2 emission reduction, wastewater treatment, research productivity
- MeSH terms
- China, Publications, Technology, Bibliometrics, Databases, Factual
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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