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Jing L, Shi T, Chang Y, Meng X, He S, Xu H, Yang S, Liu J. Cellulose-based materials in environmental protection: A scientometric and visual analysis review. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 929:172576. [PMID: 38649055 DOI: 10.1016/j.scitotenv.2024.172576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Revised: 04/03/2024] [Accepted: 04/16/2024] [Indexed: 04/25/2024]
Abstract
As sustainable materials, cellulose-based materials have attracted significant attention in the field of environmental protection, resulting in the publication of numerous academic papers. However, there is a scarcity of literature that involving scientometric analysis within this specific domain. This review aims to address this gap and highlight recent research in this field by utilizing scientometric analysis and a historical review. As a result, 21 highly cited articles and 10 mostly productive journals were selected out. The scientometric analysis reveals that recent studies were objectively clustered into five interconnected main themes: extraction of cellulose from raw materials and its degradation, adsorption of pollutants using cellulose-based materials, cellulose-acetate-based membrane materials, nanocellulose-based materials, and other cellulose-based materials such as carboxymethyl cellulose and bacterial cellulose for environmental protection. Analyzing the distribution of author keywords and thoroughly examining relevant literature, the research focuses within these five themes were summarized. In the future, the development of eco-friendly and cost-effective methods for extracting and preparing cellulose and its derivatives, particularly nanocellulose-based materials, remains an enduring pursuit. Additionally, machine learning techniques holds promise for the advancement and application of cellulose-based materials. Furthermore, there is potential to expand the research and application scope of cellulose-based materials for environmental protection.
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Affiliation(s)
- Liandong Jing
- Key Laboratory of Pollution Control Chemistry and Environmental Functional Materials for Qinghai-Tibet Plateau of the National Ethnic Affairs Commission, Institute of Qinghai-Tibet Plateau, School of Chemistry and Environment, Southwest Minzu University, Chengdu 610041, China
| | - Tianyu Shi
- Key Laboratory of Pollution Control Chemistry and Environmental Functional Materials for Qinghai-Tibet Plateau of the National Ethnic Affairs Commission, Institute of Qinghai-Tibet Plateau, School of Chemistry and Environment, Southwest Minzu University, Chengdu 610041, China
| | - Yulung Chang
- Department of Chemistry, National Sun Yat-sen University, Kaohsiung 80424, Taiwan
| | - Xingliang Meng
- Department of Chemistry, National University of Singapore, 3 Science Drive 3, Singapore 117543, Singapore
| | - Shuai He
- Key Laboratory of Pollution Control Chemistry and Environmental Functional Materials for Qinghai-Tibet Plateau of the National Ethnic Affairs Commission, Institute of Qinghai-Tibet Plateau, School of Chemistry and Environment, Southwest Minzu University, Chengdu 610041, China
| | - Hang Xu
- School of Material Science & Chemical Engineering, Harbin University of Science and Technology, Harbin, China
| | - Shengtao Yang
- Key Laboratory of Pollution Control Chemistry and Environmental Functional Materials for Qinghai-Tibet Plateau of the National Ethnic Affairs Commission, Institute of Qinghai-Tibet Plateau, School of Chemistry and Environment, Southwest Minzu University, Chengdu 610041, China
| | - Jia Liu
- Key Laboratory of Pollution Control Chemistry and Environmental Functional Materials for Qinghai-Tibet Plateau of the National Ethnic Affairs Commission, Institute of Qinghai-Tibet Plateau, School of Chemistry and Environment, Southwest Minzu University, Chengdu 610041, China.
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Islam MT, Al Mamun MA, Halim AFMF, Peila R, Sanchez Ramirez DO. Current trends in textile wastewater treatment-bibliometric review. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:19166-19184. [PMID: 38383927 PMCID: PMC10927897 DOI: 10.1007/s11356-024-32454-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Accepted: 02/08/2024] [Indexed: 02/23/2024]
Abstract
A bibliometric study using 1992 to 2021 database of the Science Citation Index Expanded was carried out to identify which are the current trends in textile wastewater treatment research. The study aimed to analyze the performance of scholarly scientific communications in terms of yearly publications/citations, total citations, scientific journals, and their categories in the Web of Sciences, top institutions/countries and research trends. The annual publication of scientific articles fluctuated in the first ten years, with a steady decrease for the last twenty years. An analysis of the most common terms used in the authors' keywords, publications' titles, and KeyWords Plus was carried out to predict future trends and current research priorities. Adsorbent nanomaterials would be the future of wastewater treatment for decoloration of the residual dyes in the wastewater. Membranes and electrolysis are important to demineralize textile effluent for reusing wastewater. Modern filtration techniques such as ultrafiltration and nanofiltration are advanced membrane filtration applications.
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Affiliation(s)
- Mohammad Tajul Islam
- Department of Textile Engineering, Ahsanullah University of Science and Technology, Dhaka, Bangladesh
| | - Md Abdullah Al Mamun
- Department of Corporate Leadership and Marketing, Szechenyi Istvan University, Gyor, Hungary
| | | | - Roberta Peila
- CNR-STIIMA (National Research Council of Italy-Institute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing), Biella, Italy
| | - Diego Omar Sanchez Ramirez
- CNR-STIIMA (National Research Council of Italy-Institute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing), Biella, Italy.
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Al-Moraissi EA, Ho YS, Christidis N. Publication performance and trends in bruxism research: A bibliometric analysis. J Oral Rehabil 2023; 50:1217-1228. [PMID: 37334738 DOI: 10.1111/joor.13544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2022] [Revised: 04/02/2023] [Accepted: 06/13/2023] [Indexed: 06/20/2023]
Abstract
BACKGROUND Bruxism is an umbrella term that encompass a multidimensional spectrum of masticatory muscle activities. OBJECTIVE The purpose of this study was to do a bibliometric analysis including citation performance in the research topic of bruxism, by using an innovative method including details of article title, author keyword, KeyWords Plus and abstracts. METHODS The data were retrieved 2022-12-19 from the Clarivate Analytics Web of Science Core Collection, and the online version of the Science Citation Index Expanded (SCI-EXPANDED) for studies published 1992 to 2021. To evaluate research trends, the distribution of keywords in the article title and author-selected keywords were used. RESULTS The search yielded 3233 documents in SCI-EXPANDED, of which 2598 were of the document-type 'articles' published in 676 journals. The analysis of the articles revealed that "bruxism/sleep bruxism," "electromyography," "temporomandibular disorders" and "masticatory muscles" are the most used keywords by the authors. Further, the most frequently cited study was published 9 years ago and handles the present definition of bruxism. CONCLUSION The most productive authors and those with the highest performance have some common features; they have several national and international collaborations; and they have published articles about the definition, aetiology/pathophysiology and prevalence of bruxism, all senior researchers in the field of TMD. Hopefully, based on this study, researchers and clinicians will have information to be stimulated to outline future research projects on bruxism-related aspects, and to initiate new international or multinational collaborations.
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Affiliation(s)
- Essam Ahmed Al-Moraissi
- Department of Oral and Maxillofacial Surgery, Faculty of Dentistry, Thamar University, Thamar, Yemen
| | - Yuh-Shan Ho
- Trend Research Centre, Asia University, Taichung, Taiwan
| | - Nikolaos Christidis
- Division of Oral Diagnostics and Rehabilitation, Department of Dental Medicine, Karolinska Institutet, Huddinge, Sweden
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Ezugwu AE, Oyelade ON, Ikotun AM, Agushaka JO, Ho YS. Machine Learning Research Trends in Africa: A 30 Years Overview with Bibliometric Analysis Review. ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING : STATE OF THE ART REVIEWS 2023; 30:1-31. [PMID: 37359741 PMCID: PMC10148585 DOI: 10.1007/s11831-023-09930-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/18/2023] [Accepted: 04/19/2023] [Indexed: 06/28/2023]
Abstract
The machine learning (ML) paradigm has gained much popularity today. Its algorithmic models are employed in every field, such as natural language processing, pattern recognition, object detection, image recognition, earth observation and many other research areas. In fact, machine learning technologies and their inevitable impact suffice in many technological transformation agendas currently being propagated by many nations, for which the already yielded benefits are outstanding. From a regional perspective, several studies have shown that machine learning technology can help address some of Africa's most pervasive problems, such as poverty alleviation, improving education, delivering quality healthcare services, and addressing sustainability challenges like food security and climate change. In this state-of-the-art paper, a critical bibliometric analysis study is conducted, coupled with an extensive literature survey on recent developments and associated applications in machine learning research with a perspective on Africa. The presented bibliometric analysis study consists of 2761 machine learning-related documents, of which 89% were articles with at least 482 citations published in 903 journals during the past three decades. Furthermore, the collated documents were retrieved from the Science Citation Index EXPANDED, comprising research publications from 54 African countries between 1993 and 2021. The bibliometric study shows the visualization of the current landscape and future trends in machine learning research and its application to facilitate future collaborative research and knowledge exchange among authors from different research institutions scattered across the African continent.
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Affiliation(s)
- Absalom E. Ezugwu
- Unit for Data Science and Computing, North-West University, 11 Hoffman Street, Potchefstroom, 2520 South Africa
| | - Olaide N. Oyelade
- Department of Computer Science, Faculty of Physical Sciences, Ahmadu Bello University, Zaria, Nigeria
| | - Abiodun M. Ikotun
- Unit for Data Science and Computing, North-West University, 11 Hoffman Street, Potchefstroom, 2520 South Africa
| | - Jeffery O. Agushaka
- Unit for Data Science and Computing, North-West University, 11 Hoffman Street, Potchefstroom, 2520 South Africa
| | - Yuh-Shan Ho
- Trend Research Centre, Asia University, No. 500, Lioufeng RoadWufeng, Taichung, 41354 Taiwan
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Samyn P, Meftahi A, Geravand SA, Heravi MEM, Najarzadeh H, Sabery MSK, Barhoum A. Opportunities for bacterial nanocellulose in biomedical applications: Review on biosynthesis, modification and challenges. Int J Biol Macromol 2023; 231:123316. [PMID: 36682647 DOI: 10.1016/j.ijbiomac.2023.123316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Revised: 12/30/2022] [Accepted: 01/13/2023] [Indexed: 01/22/2023]
Abstract
Bacterial nanocellulose (BNC) is a natural polysaccharide produced as extracellular material by bacterial strains and has favorable intrinsic properties for primary use in biomedical applications. In this review, an update on state-of-the art and challenges in BNC production, surface modification and biomedical application is given. Recent insights in biosynthesis allowed for better understanding of governing parameters improving production efficiency. In particular, introduction of different carbon/nitrogen sources from alternative feedstock and industrial upscaling of various production methods is challenging. It is important to have control on the morphology, porosity and forms of BNC depending on biosynthesis conditions, depending on selection of bacterial strains, reactor design, additives and culture conditions. The BNC is intrinsically characterized by high water absorption capacity, good thermal and mechanical stability, biocompatibility and biodegradability to certain extent. However, additional chemical and/or physical surface modifications are required to improve cell compatibility, protein interaction and antimicrobial properties. The novel trends in synthesis include the in-situ culturing of hybrid BNC nanocomposites in combination with organic material, inorganic material or extracellular components. In parallel with toxicity studies, the applications of BNC in wound care, tissue engineering, medical implants, drug delivery systems or carriers for bioactive compounds, and platforms for biosensors are highlighted.
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Affiliation(s)
- Pieter Samyn
- SIRRIS, Department Innovations in Circular Economy, Leuven, Belgium.
| | - Amin Meftahi
- Department of Polymer and Textile Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran; Nanotechnology Research Center, Islamic Azad University, South Tehran Branch, Tehran, Iran
| | - Sahar Abbasi Geravand
- Department of Technical & Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran
| | | | - Hamideh Najarzadeh
- Department of Textile Engineering, Science And Research Branch, Islamic Azad University, Tehran, Iran
| | | | - Ahmed Barhoum
- NanoStruc Research Group, Chemistry Department, Faculty of Science, Helwan University, 11795 Cairo, Egypt; School of Chemical Sciences, Dublin City University, Dublin 9, D09 Y074 Dublin, Ireland.
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Ho YS. Letter to the Editor Regarding "Global Research Trends in Radiotherapy for Gliomas: A Systematic Bibliometric Analysis". World Neurosurg 2023; 170:251. [PMID: 36782411 DOI: 10.1016/j.wneu.2022.10.110] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Accepted: 10/28/2022] [Indexed: 02/10/2023]
Affiliation(s)
- Yuh-Shan Ho
- Trend Research Centre, Asia University, Taichung, Taiwan.
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Al-Moraissi EA, Christidis N, Ho YS. Publication performance and trends in temporomandibular disorders research: A bibliometric analysis. JOURNAL OF STOMATOLOGY, ORAL AND MAXILLOFACIAL SURGERY 2023; 124:101273. [PMID: 36057419 DOI: 10.1016/j.jormas.2022.08.016] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Accepted: 08/25/2022] [Indexed: 11/29/2022]
Abstract
BACKGROUND Temporomandibular disorders (TMD) are common, can be both painful and non-painful, and encompass various conditions affecting the temporomandibular joint, the masticatory muscles or both TMD. Therefore, the purpose of this bibliometric analysis was to synthetically analyze citation performance in TMD, to address a more innovative method including details of article title, author keyword, KeyWords Plus, and abstracts. MATERIAL AND METHODS Data used in this study were retrieved from the Clarivate Analytics Web of Science Core Collection, the online version of the Science Citation Index Expanded (SCI-EXPANDED) between 1992 and 2021. The distribution of key words in the article title and author‑selected keywords were used to evaluate research trends. RESULTS Of the 7,228 documents in SCI-EXPANDED, 6,138 documents met all inclusion criteria and were included in the final analysis, of which 4,945 were articles. The present bibliometric analysis of the articles published in the research filed of TMD revealed that orofacial pain, bruxism, chronic pain, and myofascial pain are the most commonly used keywords by the authors. Further, over the last 30 years 4,945 articles are published in the field of TMD, and the far most frequently cited study was published 8 years ago and handles the diagnostic criteria of TMD. The USA and Brazil were top two ranking productive countries of publication on TMD. The most productive journal was Journal of Oral Rehabilitation, followed by Cranio-The Journal of Craniomandibular & Sleep Practice and Journal of Oral & Facial Pain and Headache. The most productive authors were P. Svensson, R. Ohrbach, and F. Lobbezooas. The most productive institutes were Sao Paulo University (Brazil), Malmo University (Sweden), and Washington university (USA) CONCLUSION: Based on the outcome of this bibliometric study, the authors hope that both clinicians and researchers will have information to shape their future research focus, finding prominent institutions in their nearby area, or even to be stimulated to initiate new international or even multinational collaborations.
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Affiliation(s)
- Essam Ahmed Al-Moraissi
- Department of Oral and Maxillofacial Surgery, Faculty of Dentistry, Thamar University, Thamar, Yemen
| | - Nikolaos Christidis
- Division of Oral Diagnostics and Rehabilitation, Department of Dental Medicine, Karolinska Institutet, Huddinge SE-141 04, Sweden
| | - Yuh-Shan Ho
- Trend Research Centre, Asia University, No. 500 Lioufeng Road, Wufeng, Taichung 41354, Taiwan.
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