Bibliometrics of Machine Learning Research Using Homomorphic Encryption

Since the first fully homomorphic encryption scheme was published in 2009, many papers have been published on fully homomorphic encryption and its applications. Machine learning is one of the most interesting applications and has drawn a lot of attention from researchers. To better represent and understand the field of Homomorphic Encryption in Machine Learning (HEML), this paper utilizes automated citation and topic analysis to characterize the HEML research literature over the years and provide the bibliometrics assessments for this burgeoning field. This is conducted by using a bibliometric statistical analysis approach. We make use of web-based literature databases and automated tools to present the development of HEML. This allows us to target several popular topics for in-depth discussion. To achieve these goals, we have chosen the well-established Scopus literature database and analyzed them through keyword counts and Scopus relevance searches. The results show a relative increase in the number of papers published each year that involve both homomorphic cryptography and machine learning. Using text mining of articles titles, we have found that cloud computing is a popular topic in this field, which also includes neural networks, big data, and the Internet of Things. The analysis results show that China, the US, and India have generated almost half of all the research contributions in HEML. The citation statistics, keyword statistics, and topic analyses give us a quick overview of the development of the field, which can be of great help to new researchers. It is also possible to apply our methodology to other research areas, and we see great value in this approach.

QUANTIFYING AND MAPPING THE EVOLUTION OF A LEADER JOURNAL IN THE FIELD OF CIVIL ENGINEERING

Automation in Construction is one of the leading international journals in construction and building dating back to 1992. This study aims to quantify and visualize the evolution of Automation in Construction publications using bibliometric methods. Our work has two parts: 1) publication and citation statistics in terms of annual distributions, citing sources, prolific countries/regions and institutes, and highly cited papers, 2) network and science mapping analyses in terms of co-authorship network, co-citation network and thematic evolution. Two bibliometric software, VOSviewer and SciMAT, are used to help us carry out the analyses. The results suggest that Automation in Construction has obtained increasing influence and reputation from scientific community over the past decades. It is expected that our study has guiding significance for editors and readers of this journal through providing key insights about the evolution over time.

Library Review 1989–2017: publication and citation statistics

Purpose The purpose of this paper is to provide a bibliometric review of the journal Library Review (LR) from 1989 until its relaunch in 2018 as global knowledge, memory and communication. Design/methodology/approach Bibliometric analysis of 1,084 articles published in LR in the period 1989–2017. Findings Authors from 69 different countries have published in the journal, with Scotland providing the largest single contribution in terms of authors and institutions. Articles in the journal have been extensively cited, with the citations coming not only from the core library and information science literature but also from journals in a very broad range of disciplines. Originality/value This paper extends previous work on articles published in the journal and provides the first detailed study of citations to those published articles.

Operations Research/Management Science Research in Europe: A Bibliometric Overview

This paper provides a bibliometric analysis of the articles in the field of operations research or management science (OR/MS) published in the years 1980–2018 by European researchers. The analysis’s objective is to identify and examine the current state of OR/MS studies in Europe, which publishes about 38% of the papers published worldwide. The analysis was based on the data from the Web of Science (WoS) databases. We found a total of 65,352 papers in 148 different journals in the OR/MS field. The results provide a general picture of the studies, which are classified according to the most influential authors, institutions, papers, and journals. The study revealed that the ratio of OR/MS studies having at least one European author has steadily increased over the decades from 28.27% in the 1980 s to 41.29% in the 2010 s. The analysis also provides citation statistics of the European OR/MS articles. The study concluded that the impact of European publications is less than the impact of U.S. publications. The bibliometric analysis of the studies showed that only a small portion of the countries/regions, institutions, and even authors published a substantial portion of the papers, as indicated by the Pareto rule. The research trends have been identified through an analysis of keyword usage over the years. In keyword analysis, which subcategories are studied together is also identified. In the paper, collaboration among countries and institutions is also identified and depicted by using VOS viewer.

ITS2 Pretrial Gene Identification Related to Seed and Flower Identification for Cyclea barbata

This paper has been withdrawn by bioRxiv because its content, including the author names, was fabricated and fraudulently submitted in what may have been an attempt to game citation statistics or other metrics.

Rice Tolerance to Drought is Complex Both Physiologically and Genetically

This paper has been withdrawn by bioRxiv because its content, including the author names, was fabricated and fraudulently submitted in what may have been an attempt to game citation statistics or other metrics.

Efficient Method for Protein Crystallization

This paper has been withdrawn by bioRxiv because its content, including the author names, was fabricated and fraudulently submitted in what may have been an attempt to game citation statistics or other metrics.

A restriction-free method for gene reconstitution

This paper has been withdrawn by bioRxiv because its content, including the author names, was fabricated and fraudulently submitted in what may have been an attempt to game citation statistics or other metrics.