Journal of Information and Telecommunication

Aims & Scope

The Journal of Information and Telecommunication (JIT) is an open access peer-reviewed journal that publishes original research on all aspects of telecommunications, information technology, media technologies and media communications.

JIT represents the process of the convergence of the fields of telecommuni-cations, digital broadcasting and information technology.

The journal focuses on the field of infocommunication as a natural expan-sion of telecommunication, with information processing and content handling functions which include all types of electronic communications.

In particular, the journalaims to address infocommunication issues which are unique to developing nations.

For example, research topics on smart tele-communication systems for developing countries, applications for proces-sing Asian languages in telecommunication systems etc., are encouraged.

Topics of interest to the journal include, but are not limited to: • Information theory/coding, network security, standards, applications, and information processing in telecommunication systems • Internet/web-based systems/products, internet of things • Network interconnection, wire, wireless, adhoc, mobile networks • Cost benefit analysis and economic impact of telecommunication sys-tems • Standardization and regulatory issues • Security, privacy and encryption in telecommunication systems • Cellular, mobile and satellite-based systems • Intelligent information systems, intelligent information retrieval, digital libraries, and network information retrieval • Visual interfaces, visual query languages, and visual expressiveness of IIS • Machine learning, knowledge discovery, and data mining

Metrics & Ranking

Abstracting & Indexing

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

• Scopus
• Google Scholar
• Directory of Open Access Journals (DOAJ)
• Web of Science

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science and Engineering, 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.

• Aims scope
• Homepage
• Oa statement
• Author instructions
• License terms
• Review url
• Board url
• Copyright url
• Plagiarism url
• Preservation url
• Apc url
• License

Plagiarism Policy

This journal follows a plagiarism policy. All submitted manuscripts are screened using reliable plagiarism detection software to ensure originality and academic integrity. Authors are responsible for proper citation and acknowledgment of all sources, and any form of plagiarism, including self-plagiarism, will not be tolerated.

For more details, please refer to our official: Plagiarism Policy.

APC Details

The journal’s Article Processing Charge (APC) policies support open access publishing in Computer Science and Engineering, 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 925.00 GBP. 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.

• Social media sentiment analysis based on COVID-19

  Citation: 167

  Authors: László, Attila

• Denial of service attack detection through machine learning for the IoT

  Citation: 82

  Authors: Naeem Firdous, Zubair, Ahmed, Craig

• Trends in combating fake news on social media – a survey

  Citation: 75

  Authors: Botambu, Dinh Tuyen, Ngoc Thanh, Dosam

• A seven-layered model architecture for Internet of Vehicles

  Citation: 72

  Authors: Juan, Sherali, Juan Antonio

• Machine learning approaches for anomaly detection of water quality on a real-world data set

  Citation: 68

  Authors: Fitore, Doina, Florin

• Prediction of stock values changes using sentiment analysis of stock news headlines

  Citation: 64

  Authors: László, Attila

• Crop classification using spectral indices derived from Sentinel-2A imagery

  Citation: 57

  Authors: Nobuyuki, Hiroshi, Xiufeng, Rei

• A survey of deep learning approaches for WiFi-based indoor positioning

  Citation: 45

  Authors: Xu, Khuong An, Zhiyuan

• S-box design method based on improved one-dimensional discrete chaotic map

  Citation: 45

  Authors: Dragan

• The application of machine learning and deep learning in sport: predicting NBA players’ performance and popularity

  Citation: 39

  Authors: Nguyen Hoang, Duy Thien An, Bingkun, Jiang