Combining deep neural network and bibliometric indicator for emerging research topic prediction
Predicting emerging research topics is important to researchers and policymakers. In this
study, we propose a two-step solution to the problem of emerging topic prediction. The first …
study, we propose a two-step solution to the problem of emerging topic prediction. The first …
A scientific research topic trend prediction model based on multi‐LSTM and graph convolutional network
Predicting the development trend of future scientific research not only provides a reference
for researchers to understand the development of the discipline, but also provides support …
for researchers to understand the development of the discipline, but also provides support …
A neural citation count prediction model based on peer review text
Citation count prediction (CCP) has been an important research task for automatically
estimating the future impact of a scholarly paper. Previous studies mainly focus on extracting …
estimating the future impact of a scholarly paper. Previous studies mainly focus on extracting …
From paris to berlin: Discovering fashion style influences around the world
Z Al-Halah, K Grauman - … of the IEEE/CVF conference on …, 2020 - openaccess.thecvf.com
The evolution of clothing styles and their migration across the world is intriguing, yet difficult
to describe quantitatively. We propose to discover and quantify fashion influences from …
to describe quantitatively. We propose to discover and quantify fashion influences from …
Research trend prediction in computer science publications: a deep neural network approach
S Taheri, S Aliakbary - Scientometrics, 2022 - Springer
Thousands of research papers are being published every day, and among all these
research works, one of the fastest-growing fields is computer science (CS). Thus, learning …
research works, one of the fastest-growing fields is computer science (CS). Thus, learning …
Automatic academic paper rating based on modularized hierarchical convolutional neural network
As more and more academic papers are being submitted to conferences and journals,
evaluating all these papers by professionals is time-consuming and can cause inequality …
evaluating all these papers by professionals is time-consuming and can cause inequality …
How failure to falsify in high-volume science contributes to the replication crisis
The number of scientific papers published every year continues to increase, but scientific
knowledge is not progressing at the same rate. Here we argue that a greater emphasis on …
knowledge is not progressing at the same rate. Here we argue that a greater emphasis on …
Incorporating citation impact into analysis of research trends
In the past decades, there have been a number of proposals to apply topic modeling to
research trend analysis. However, most of previous studies have relied primarily on …
research trend analysis. However, most of previous studies have relied primarily on …
Forecasting the subject trend of international library and information science research by 2030 using the deep learning approach
This study seeks to forecast the subject trend of library and information science research
until 2030 based on modeling previous research topics in this field, which has been done …
until 2030 based on modeling previous research topics in this field, which has been done …
Modeling fashion influence from photos
Z Al-Halah, K Grauman - IEEE Transactions on Multimedia, 2020 - ieeexplore.ieee.org
The evolution of clothing styles and their migration across the world is intriguing, yet difficult
to describe quantitatively. We propose to discover and quantify fashion influences from …
to describe quantitatively. We propose to discover and quantify fashion influences from …