Vietnam Journal of Computer Science

Top Research Topics at Vietnam Journal of Computer Science?

Vietnam Journal of Computer Science mainly tackles studies in Artificial intelligence, Computational intelligence, Data mining, Computer Applications and Algorithm. Some problems in Artificial intelligence that were presented in Vietnam Journal of Computer Science overlapped with concepts under Natural language processing, Machine learning, Computer vision and Pattern recognition. Feature vector and Support vector machine are all aspects of Pattern recognition research featured in the journal.

Topics in Computational intelligence explored in Vietnam Journal of Computer Science were investigated in conjunction with research in Field (computer science), Set (abstract data type), Association rule learning, The Internet and Data science. Most of the Data mining studies addressed also intersect with Cluster analysis. Vietnam Journal of Computer Science primarily discusses Cluster analysis topics, particularly Data stream clustering, Fuzzy clustering, Correlation clustering and Constrained clustering.

• Artificial intelligence (33.16%)
• Computational intelligence (29.59%)
• Data mining (13.27%)

What are the most cited papers published in the journal?

• A survey on software fault detection based on different prediction approaches (52 citations)
• An image segmentation approach for fruit defect detection using k-means clustering and graph-based algorithm (49 citations)
• PLORS: a personalized learning object recommender system (49 citations)

Research areas of the most cited articles at Vietnam Journal of Computer Science:

The journal publications are mainly concerned with subjects like Artificial intelligence, Computational intelligence, Data mining, Machine learning and Computer Applications. The most cited papers aim to investigate interdisciplinary topics such as Artificial intelligence and Applied mathematics. The most cited publications hold forums on Computational intelligence that merge themes from other disciplines such as Similarity (network science), Semantic similarity, Computer vision, Algorithm and Biological network.

What topics the last edition of the journal is best known for?

• Artificial intelligence
• Machine learning
• Operating system

The previous edition focused in particular on these issues:

The topics of Artificial intelligence, World Wide Web, Identification (information), Natural language processing and Deep learning are the focal point of discussions in Vietnam Journal of Computer Science. The studies on Artificial intelligence discussed can also contribute to research in the domains of Machine learning and Pattern recognition. Aside from investigating topics in Feature selection under Pattern recognition, Vietnam Journal of Computer Science also explores concepts in Breast cancer.

The journal addresses concerns in World Wide Web which are intertwined with other disciplines, such as Workload, Quality of service and Publication. The research on Natural language processing tackled can also make contributions to studies in the areas of Test (assessment) and Digitization. Deep learning research presented in Vietnam Journal of Computer Science encompasses a variety of subjects, including Educational data mining, Convolutional neural network and Multiclass classification.

The most cited articles from the last journal are:

• Analysis of Social Media Based on Terrorism — A Review (3 citations)
• Breast Cancer Detection Based on Feature Selection Using Enhanced Grey Wolf Optimizer and Support Vector Machine Algorithms (2 citations)
• Problems and Challenges Related to Advanced Data Analysis in Multi-Site Enterprises (1 citations)

Papers citation over time

A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

Top authors and change over time

The top authors publishing in Vietnam Journal of Computer Science (based on the number of publications) are:

• Rashedur M. Rahman (4 papers) published 1 paper at the last edition the same number as at the previous edition,
• Hoang Pham (4 papers) absent at the last edition,
• Bay Vo (3 papers) absent at the last edition,
• Gottfried Vossen (3 papers) absent at the last edition,
• Attila Kiss (3 papers) published 1 paper at the last edition, 1 less than at the previous edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing in Vietnam Journal of Computer Science (based on the number of publications) are:

• Ho Chi Minh City University of Technology (6 papers) published 2 papers at the last edition,
• Eötvös Loránd University (6 papers) published 3 papers at the last edition, 1 more than at the previous edition,
• National University of Kaohsiung (4 papers) absent at the last edition,
• Ton Duc Thang University (4 papers) absent at the last edition,
• University of Engineering and Technology, Lahore (4 papers) absent at the last edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 17.65% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 21.43% were posted by at least one author from the top 10 institutions publishing in the journal. Another 10.71% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 14.29% of all publications and 53.57% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

• Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
• Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
• Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
• Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
• Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Other Relevant Career Opportunities in Computer Science

Aside from contributing to groundbreaking research, many computer science professionals choose to leverage their understanding and proficiency in the field towards educating others. Those interested in this career path, particularly in the area of education, often find opportunities to teach at various levels.

For instance, if you reside in the United States, specifically in the state of Minnesota, there are certain requirements and steps to follow to become a certified teacher in the field of computer science. Here is a comprehensive guide on how to become a teacher in Minnesota that may be useful to explore. This guide outlines the required academic qualifications, the process of obtaining the necessary certification, and provides further information on what to expect in this career path. By merging a passion for computer science with the desire to educate, many professionals find a rewarding career that contributes to the future of the field.