CTU Journal of Innovation and Sustainable Development

Aims & Scope

CTU Journal of Innovation and Sustainable Development (CTUJoISD) is an international double-blind peer-reviewed journal that publishes original high-quality research and review articles.

The journal aims to promote principled approaches to research on all aspects of innovation and sustainable development globally, covering disciplines such as Engineering Technology, Computer Science, Life Sciences, Economics and Management, and Educational Sciences.

CTUJoISD is committed to publishing seriously reviewed and high-quality papers that are accessible to researchers from a wide range of disciplines.

Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Directory of Open Access Journals (DOAJ)
• Google Scholar

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Chemical Engineering, Computer Science and Economics, Econometrics and Finance, designed to support cutting-edge academic discovery.

Licensing & Copyright

This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.

Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.

Policy Links

This section provides access to essential policy documents, guidelines, and resources related to the journal’s publication and submission processes.

• Apc url
• Homepage
• Aims scope

APC Details

The journal’s Article Processing Charge (APC) policies support open access publishing in Chemical Engineering, Computer Science and Economics, Econometrics and Finance, ensuring accessibility and quality in research dissemination.

This journal requires an Article Processing Charge (APC) to support open access publishing, covering peer review, editing, and distribution. The current APC is 65.00 USD. Learn more.

Explore journals without APCs for alternative publishing options.

Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• New data about library service quality and convolution prediction

  Citation: 8

  Authors: Minh Tuan, Meesad, Van Hieu, Maliyaem

• Beyond the pandemic: The changing landscape of technology integration in higher education in Central Visayas, Philippines

  Citation: 5

  Authors: Charess, Joje Mar, Gino, Janet, Isidro Max

• Evaluating the performance of Random Forest, Decision Tree, Support Vector Regression and Gradient Boosting for streamflow prediction

  Citation: 5

  Authors: Osahon, Jacob Odeh, Christopher Osadolor, Idowu

• Prevalence and antibiotic resistance of Staphylococcus aureus isolated from Pangasius fish and fish processing handlers in the Mekong Delta, Viet Nam

  Citation: 4

  Authors: Nguyen Trang, Miyamoto, Thi Anh Ngoc

• Career path prediction using XGBoost Model and students’ academic results

  Citation: 4

  Authors: Hong Quan, Duc Dang Khoi, Tan Duy, An, Kha Tu

• Exploring multiple optimization algorithms in transfer learning with EfficientNet models for agricultural insect classification

  Citation: 4

  Authors: Hoang-Tu, Nhon, Kheo, Huan, Phuc

• Career preferences of Filipino senior high school students

  Citation: 3

  Authors: Chery, Meshel, Inero

• The effect of environmental accounting information disclosure on financial performance of Vietnamese listed industrial firms: The moderating role of Leverage and Big4

  Citation: 3

  Authors: Thuy An, Phuoc Huong, Huu Dang, Thi Cam Tu, My Tran

• Synergistic and antagonistic medicinal activities of essential oil of Monodora myristica

  Citation: 3

  Authors: Shola H., Boluwatife, Kehinde Adenike, Abayomi G., Emmanuel O., Olumide E., Adebanjo J.

• Students' performance prediction employing Decision Tree

  Citation: 2

  Authors: Abtahi, Farzana Akter, Wasi Uddin, Khaled Md, Kamrul Islam, Huu-Hoa, Dewan Md.