Characteristics and trends in global Edible Bird’s Nest (EBN) research (2002–2021): a review and bibliometric study

Lee, Chia Hau; Lee, Ting Hun; Wong, Syieluing; Nyakuma, Bemgba Bevan; Hamdan, Norfadilah; Khoo, Shing Ching; Ramachandran, H. D.; Jamaluddin, Haryati

doi:10.1007/s11694-023-02006-3

Cited by 5 publications

(3 citation statements)

References 89 publications

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“…Keywords co-occurrence analysis is typically used to examine the various research hotspots or thematic areas in any field of science or research endeavour (Lis and Tomanek, 2020). It can also be used to beam a searchlight on the current trending topics as well as predict future directions on various subject areas (Lee et al, 2023). In this paper, the VOSviewer software was used to examine the current research hotspots or thematic areas on the ACT-EPG research landscape.…”

Section: Hotspots Analysismentioning

confidence: 99%

“…Bibliometric analysis is a powerful tool for analysing publication patterns, identifying important authors, and institutions as well as comprehending the research landscape on a specific topic (Donthu et al, 2021). Numerous studies have effectively implemented the methodology in examining the research landscape of various fields and disciplines and climate change (Ajibade et al, 2023b), smart cities (Zaidi et al, 2023), renewable energy (Ajibade et al, 2023a), plastics (Wong et al, 2020b), agrowaste valorisation (Nyakuma et al, 2021), food products (Lee et al, 2023), solid wastes (Wong et al, 2020a), among others.…”

Section: Introductionmentioning

confidence: 99%

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Utilisation of Deep Learning (DL) and Neural Networks (NN) Algorithms for Energy Power Generation: A Social Network and Bibliometric Analysis (2004-2022)

Zaidi

2024

IJEEP

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The research landscape on the applications of advanced computational tools (ACTs) such as machine/deep learning and neural network algorithms for energy and power generation (EPG) was critically examined through publication trends and bibliometrics data analysis. The Elsevier Scopus database and the PRISMA methodology were employed to identify and screen the published documents, whereas the bibliometric analysis software VOSviewer was used to analyse the co-authorships, citations, and keyword occurrences. The results showed that 152 documents have been published on the topic comprising conference proceedings (58.6%) and articles (41.4%) between 2004 and 2022. Publication trends analysis revealed the number of publications increased from 1 to 31 or by 3,000% over the same period, which was ascribed to the growing scientific interest and research impact of the topic. Stakeholder analysis revealed the top authors/researchers are Anvari M, Ghaderi SF and Saberi M, whereas the most prolific affiliation and nations actively engaged in the topic are the North China Electric Power University, and China, respectively. Conversely, the top funding agency actively backing research on the topic is the National Natural Science Foundation of China (NSFC). Co-authorship analysis revealed high levels of collaboration between researching nations compared to authors and affiliations. Hotspot analysis revealed three major thematic focus areas namely; Energy Grid Forecasting, Power Generation Control, and Intelligent Energy Optimization. In conclusion, the study showed that the application of ACTs in EPG is an active, multidisciplinary, and impact area of research with potential for more impactful contributions to research and society at large.

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Section: Hotspots Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Utilisation of Deep Learning (DL) and Neural Networks (NN) Algorithms for Energy Power Generation: A Social Network and Bibliometric Analysis (2004-2022)

Zaidi

2024

IJEEP

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“…This delicacy has been consumed for centuries and is often used in traditional Chinese cuisine for its health benefits. Lee et al [2] reported that the EBN industry is part of Malaysia's National Key Economic Areas (NKEA). As part of this initiative, various efforts have been made to promote EBN production and ensure its sustainability.…”

Section: Introductionmentioning

confidence: 99%

Characterization of Functional Proteins from Edible Bird’s Nest Using Proteomic Techniques in Combination with Bioinformatics Analyses

Lee,

Hamdan,

Nyakuma

et al. 2023

Foods 2023

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Functional and biological activities of Edible Bird’s Nest (EBN) protein by proteomic and bioinformatic analyses

Lee,

Hamdan,

Nyakuma

et al. 2024

Food Measure

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Characteristics and trends in global Edible Bird’s Nest (EBN) research (2002–2021): a review and bibliometric study

Cited by 5 publications

References 89 publications

Utilisation of Deep Learning (DL) and Neural Networks (NN) Algorithms for Energy Power Generation: A Social Network and Bibliometric Analysis (2004-2022)

Utilisation of Deep Learning (DL) and Neural Networks (NN) Algorithms for Energy Power Generation: A Social Network and Bibliometric Analysis (2004-2022)

Characterization of Functional Proteins from Edible Bird’s Nest Using Proteomic Techniques in Combination with Bioinformatics Analyses

Functional and biological activities of Edible Bird’s Nest (EBN) protein by proteomic and bioinformatic analyses

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