Big scholarly data: A survey

F Xia, W Wang, TM Bekele, H Liu - IEEE Transactions on Big …, 2017 - ieeexplore.ieee.org
With the rapid growth of digital publishing, harvesting, managing, and analyzing scholarly
information have become increasingly challenging. The term Big Scholarly Data is coined …

Academic influence aware and multidimensional network analysis for research collaboration navigation based on scholarly big data

X Zhou, W Liang, I Kevin, K Wang… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Scholarly big data, which is a large-scale collection of academic information, technical data,
and collaboration relationships, has attracted increasing attentions, ranging from industries …

Understanding the productive author who published papers in medicine using National Health Insurance Database: a systematic review and meta-analysis

TW Chien, Y Chang, HY Wang - Medicine, 2018 - journals.lww.com
Understanding the productive author who published papers in... : Medicine Understanding the
productive author who published papers in medicine using National Health Insurance …

[HTML][HTML] Trend and prediction of citations on the topic of neuromuscular junctions in 100 top-cited articles since 2001 using a temporal bar graph: a bibliometric …

JW Wu, YH Yan, TW Chien, W Chou - Medicine, 2022 - journals.lww.com
Background: A neuromuscular junction (NMJ)(or myoneural junction) is a chemical synapse
between a motor neuron (MN) and a muscle fiber. Although numerous articles have been …

[HTML][HTML] The most-cited authors who published papers in JMIR mHealth and uHealth using the authorship-weighted scheme: bibliometric analysis

WC Kan, W Chou, TW Chien, YT Yeh… - JMIR mHealth and …, 2020 - mhealth.jmir.org
Background: Many previous papers have investigated most-cited articles or most productive
authors in academics, but few have studied most-cited authors. Two challenges are faced in …

Using text mining and forest plots to identify similarities and differences between two spine-related journals based on medical subject headings (MeSH terms) and …

PH Chou, JCJ Lin, TW Chien - Scientometrics, 2023 - Springer
Literature research requires an understanding of the similarities and differences between
different types of journals. It has not yet been possible to use text-mining to demonstrate the …

DEKR: description enhanced knowledge graph for machine learning method recommendation

X Cao, Y Shi, H Yu, J Wang, X Wang, Z Yan… - Proceedings of the 44th …, 2021 - dl.acm.org
The huge number of machine learning (ML) methods has resulted in significant information
overload. Faced with an overwhelming number of ML methods, it is challenging to select …

[HTML][HTML] The use of forest plot to identify article similarity and differences in characteristics between journals using medical subject headings terms: a protocol for …

YH Yan, TW Chien - Medicine, 2021 - journals.lww.com
Background: Comparison of similarity and difference in research types among journals are
concerned in literature. However, to date, none display the methodology seen in selecting …

[HTML][HTML] Construction of lncRNA-mediated ceRNA network to reveal clinically relevant lncRNA biomarkers in glioblastomas

XY Zan, L Li - Oncology letters, 2019 - spandidos-publications.com
Cross-talk between competing endogenous RNAs (ceRNAs) play key roles in tumor
development. In this study, we performed exon-level expression profiling on 26 …

Using Google Maps to display the pattern of coauthor collaborations on the topic of schizophrenia: a systematic review between 1937 and 2017

TW Chien, HY Wang, Y Chang, WC Kan - Schizophrenia Research, 2019 - Elsevier
Schizophrenia is a severe mental disorder affecting more than 21 million people worldwide.
Scientific collaborations are required to research schizophrenia. However, there have been …