Tracing the main path of interdisciplinary research considering citation preference: A case from blockchain domain

Yu, Dejian; Pan, Tianxing

doi:10.1016/j.joi.2021.101136

Cited by 24 publications

(8 citation statements)

References 73 publications

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“…The purpose of this systematic literature survey is to provide a complete list of all possible studies related to DNFS reported in the recent literature between the year 2015 and 2020. Various attractive approaches to conduct the survey studies have been implemented in (Singh and Singh 2020 ; Yu and Pan 2021 ; Yu and Sheng 2020 ). The guidelines followed in this paper are taken from systematic literature reviews published by Baashar et al ( 2020 ), Schön et al ( 2017 ), and Muhammed et al ( 2018 ), whereas, a revised study mapping process illustrated in Fig.…”

Section: Methodsmentioning

confidence: 99%

Deep Neuro-Fuzzy System application trends, challenges, and future perspectives: a systematic survey

et al. 2022

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Deep neural networks (DNN) have remarkably progressed in applications involving large and complex datasets but have been criticized as a black-box. This downside has recently become a motivation for the research community to pursue the ideas of hybrid approaches, resulting in novel hybrid systems classified as deep neuro-fuzzy systems (DNFS). Studies regarding the implementation of DNFS have rapidly increased in the domains of computing, healthcare, transportation, and finance with high interpretability and reasonable accuracy. However, relatively few survey studies have been found in the literature to provide a comprehensive insight into this domain. Therefore, this study aims to perform a systematic review to evaluate the current progress, trends, arising issues, research gaps, challenges, and future scope related to DNFS studies. A study mapping process was prepared to guide a systematic search for publications related to DNFS published between 2015 and 2020 using five established scientific directories. As a result, a total of 105 studies were identified and critically analyzed to address research questions with the objectives: (i) to understand the concept of DNFS; (ii) to find out DNFS optimization methods; (iii) to visualize the intensity of work carried out in DNFS domain; and (iv) to highlight DNFS application subjects and domains. We believe that this study provides up-to-date guidance for future research in the DNFS domain, allowing for more effective advancement in techniques and processes. The analysis made in this review proves that DNFS-based research is actively growing with a substantial implementation and application scope in the future.

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Section: Methodsmentioning

confidence: 99%

Deep Neuro-Fuzzy System application trends, challenges, and future perspectives: a systematic survey

et al. 2022

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“…MPA-related studies could be divided into two main strands: the ones that developed the MPA and those that applied MPA in different contexts (Liu et al 2019 ). For example, works applying MPA include reviews on corporate social responsibility (Lu and Liu 2014 ), strategic management (resource-based view) (Lu and Liu 2013 ), social commerce (Tang 2017 ), data quality (Xiao et al 2014 ), the Internet of Things (IoT) (Fu et al 2019 ), blockchain technology (Tseng et al 2021 ; Yu and Pan 2021 ; Yu and Sheng 2021 ), supply chain bullwhip effect (Yu and Yan 2021 ) and sustainable technology innovation ( Zhang et al 2020 ).…”

Section: Methodsmentioning

confidence: 99%

Tracing knowledge evolution flows in scholarly restaurant research: a main path analysis

et al. 2022

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Restaurant research has received significant attention globally. This article aims to examine the evolution and the knowledge structure of restaurant research over the past decades. We also investigate the restaurant research hotspots and knowledge diffusion paths based on 1489 articles extracted from the Web of Science database. Furthermore, we conduct a keyword co-occurrence network analysis and four different types of main path analyses to scrutinize the historical formation of the restaurant research. Results revealed that restaurant research mainly focused on five research themes: consumer behavior, consumer satisfaction, social media, green restaurants, and authenticity. While consumer behavior has been the mainstream topic, the focus of this line of research has recently shifted from traditional to luxury and ethnic restaurants. Furthermore, our analysis has detected several recent changes in response to the COVID-19 pandemic. By examining the knowledge structure of restaurant research, we reveal its knowledge diffusion paths and provide avenues for future research in this vast and interdisciplinary research field.

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“…"Yu" has achieved an important milestone in the blockchain domain by prioritizing citations to eliminate subjectivity and identifying citation domains to make citations worthwhile. They introduced two types of bias, namely discipline bias and time bias, and eliminated these biases by introducing a new variant of MPA called preference MPA [37].…”

Section: Main Path Analysismentioning

confidence: 99%

Main Path Analysis to Filter Unbiased Literature

Umair¹,

Majeed²,

Shoaib³

et al. 2022

Intelligent Automation &Amp; Soft Computing

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Tracing the main path of interdisciplinary research considering citation preference: A case from blockchain domain

Cited by 24 publications

References 73 publications

Deep Neuro-Fuzzy System application trends, challenges, and future perspectives: a systematic survey

Deep Neuro-Fuzzy System application trends, challenges, and future perspectives: a systematic survey

Tracing knowledge evolution flows in scholarly restaurant research: a main path analysis

Main Path Analysis to Filter Unbiased Literature

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