Emerging Trends and Innovation Modes of Internet Finance—Results from Co-Word and Co-Citation Networks

Li, Xiaoyü; Yuan, Jiahong; Yan, Shi; Sun, Zilai; Ruan, Junhu

doi:10.3390/fi12030052

Cited by 14 publications

(12 citation statements)

References 72 publications

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“…CiteSpace is a software for citation visualization analysis used to detect the knowledge foundation, emerging trends, and innovation modes of a field from a macroscopic perspective. It has been extensively used in a wide range of fields, including big data research (Xu & Yu, 2019), journal analysis (Li et al, 2019), finance (Li et al, 2020), medicine (Wu et al, 2020), and the environment (Sun et al, 2020). In particular, this software allows the visualization of networks of co-citation references based on bibliographic records retrieved from core collections of publications (Chen, 2012).…”

Section: Introductionmentioning

confidence: 99%

What, Where, When and How of Visual Word Recognition: A Bibliometrics Review

Wang

Guo

et al. 2020

Lang Speech

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The neural/mental operations involved in the process of visual word recognition (VWR) are fundamental for the efficient comprehension of written/printed words during reading. The present study used CiteSpace, a visual analysis software, to identify the intellectual landscape where VWR has been reviewed in the past decade. Thus, synthesized co-citation networks were analyzed to explore and discuss the main questions raised in the VWR literature: the research fronts and the emerging trends of research on this topic. Our results showed that the main questions addressed in VWR studies during the last decade have been focused on four main aspects related to “what,” “where,” “when,” and “how” of VWR; to be specific, the different types of representations assessed during VWR (“what”), the locations and the timing of the brain activity involved in VWR (“where” and “when”), and the interactivity among different representations during processing (“how”). Among the revised studies, letter position coding was found to be the main topic of interest, possibly reflecting the critical role of this process. Furthermore, the evidence found in these studies consistently supported that VWR implies access to phonological, semantic, and morphological representations, which interact and modulate the processing of written words, particularly during early stages. Altogether, our findings showed the evolution in VWR literature regarding the different cognitive and neural operations involved in this process, highlighting the growing interest over the last decade toward the top-down way that mental representations interact.

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Section: Introductionmentioning

confidence: 99%

What, Where, When and How of Visual Word Recognition: A Bibliometrics Review

Wang

Guo

et al. 2020

Lang Speech

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“…The results of the bibliometric analysis show the diversity of issues discussed in this field, but some of the main issues discussed are centered on information asymmetries, social capital, communication channels, and rating-based models. Meanwhile, the study by Li et al. (2020) takes a broader perspective on bibliometric analysis of the development of literature in the field of internet finance indexed in WoS.…”

Section: Literature Reviewmentioning

confidence: 99%

“…(2020) takes a broader perspective on bibliometric analysis of the development of literature in the field of internet finance indexed in WoS. Meanwhile, the study by Li et al. (2020) takes a broader perspective on bibliometric analysis of the development of literature in the field of internet finance indexed in WoS.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Based on literature review related to peer-to-peer lending bibliometric studies, it can be concluded that there is a gap on the research area. The first is related to the source of publication database used, which almost all related research takes from the WoS index ( Ariza-Garzón et al., 2021 ; Ribeiro-Navarrete et al., 2021 ; Li et al., 2020 ; Martínez-climent et al., 2018 ). Considering this fact, it is clear that academics need to investigate further regarding peer-to-peer lending from an economic and business perspective as a relatively new issue.…”

Section: Literature Reviewmentioning

confidence: 99%

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A Bibliometric mapping of peer-to-peer lending research based on economic and business perspective

Kholidah

Hijriah²,

Mawardi³

et al. 2022

Heliyon

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“…Among them, financial risk management is an important application scenario. Most financial institutions use traditional machine learning algorithms to predict the development of financial markets, predict the solvency of borrowers or make credit approval decisions, so as to predict and identify high-risk customers [13][14][15][16].…”

Section: Related Workmentioning

confidence: 99%

Research on Risk Prediction Model of Internet Finance Based on Cloud Computing

Liu

2022

Journal of Mathematics

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With the rapid development of the Internet, the traditional Internet financial risk prediction methods can no longer meet the needs of individuals and enterprises, so the concept of cloud computing arises at the historic moment. Cloud computing has subverted the traditional financial risk prediction method and has been widely studied and applied for its distributed, dynamic and autonomous characteristics. How to efficiently and reasonably schedule the resources of cloud data center and improve the accuracy of financial risk prediction is the focus of current research. How to quantify financial risk and financial risk early warning is one of the urgent problems to be solved. Under the framework of cloud computing, this paper combines the feature extraction and data weighting to study the user’s basic attribute data and a large number of downloaded APP types. After that, linear regression with penalty is used to construct the prediction model to improve insolvency. The accuracy of customer default judgment can realize local optimization, so as to improve the prediction and control of hidden risks of customer commercial bank loans and greatly reduce the default risk of bank loans.

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Emerging Trends and Innovation Modes of Internet Finance—Results from Co-Word and Co-Citation Networks

Cited by 14 publications

References 72 publications

What, Where, When and How of Visual Word Recognition: A Bibliometrics Review

What, Where, When and How of Visual Word Recognition: A Bibliometrics Review

A Bibliometric mapping of peer-to-peer lending research based on economic and business perspective

Research on Risk Prediction Model of Internet Finance Based on Cloud Computing

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