Identification of Citation in Computer Science using Deep Learning and Cyberpsychology During COVID-19

Abstract

In December 2019, a novel strain of Covid surfaced, unleashing a pervasive and inescapable illness upon the world. This inquiry aims to meticulously explore bibliometric facets, specifically scrutinizing publications in the field of computer science throughout 2020 in the aftermath of the global epidemic outbreak. The data, meticulously sourced from the Google Scholar website, involves the random selection of profiles belonging to computer science scholars, initiating an exhaustive exploration into citation rates. It anticipates unveiling that 2020 witnessed the culmination of a substantial body of scholarly work, surpassing the output of the preceding four years. Furthermore, leveraging this data, the study aspires to prognosticate future citation trends. Deep learning applications have emerged as a key revelation, acknowledged for their capacity to furnish superior data representations, consequently yielding more enlightening outcomes. The subsequent phase embarks on an odyssey to unravel the causative factors behind the surge in citation rates, adopting a psychological vantage point that encompasses elements such as home isolation and dedicated quarantine. The study goes beyond the statistical analyses, delving into the psyche of scholars, thereby presenting a more nuanced understanding of the underlying factors contributing to increased citation rates. This illuminating descriptive-analytical exploration not only establishes a correlation between scholars' isolation experiences and their learning trajectories but also encapsulates this connection in terms of recorded academic citations. The research findings not only offer a comprehensive comprehension of the scholar isolation phenomenon but also serve as a clarion call for heightened awareness among stakeholders. This heightened awareness, rooted in both qualitative and quantitative evidence, not only validates the hypotheses posited but also provides a robust foundation for future research initiatives. In summation, this groundbreaking study unveils, for the first time, the critical interplay between quarantine and addiction factors in the realm of global research, underscoring the paramount significance of these elements in shaping scholarly discourse on a worldwide scale.