support@datacitex.io
DataCiteX Indexed Journal

Journal of Deep Learning, Computer Vision and Digital Image Processing

eISSN: 2986-8939 Journal of Deep Learning, Computer Vision and Digital Image Processing 4 issues per year

Explore the Journal of Deep Learning, Computer Vision and Digital Image Processing journal profile, Data Science research coverage, citation metrics and scholarly impact.

DataCiteX Citation Score Three-year citation performance metric
Latest DCS 2.10 2025
21 Citations 2023 – 2025
÷
10 Documents 2023 – 2025
Journal Profile

Journal Information

Core publishing, identification and journal profile details.

Journal Title Journal of Deep Learning, Computer Vision and Digital Image Processing
eISSN 2986-8939
Publisher Journal of Deep Learning, Computer Vision and Digital Image Processing
Frequency 4 issues per year
Start Year 2023
Editor in Chief Nur Azizah Eka Budiarti
Research Performance

Journal Metrics

Citation performance, DataCiteX Citation Score, ranking and research impact indicators.

Live Metrics
Top Performing Year
2025
Avg Citations / Year
7.00
Citations / Article
2.10
Latest DCS
2.10
Zone Ranking
Z4
Impact Factor
1.200
Performance Summary

Smart Insight

Auto Summary

Top citation year was 2025 with 12 citations. Average citations per year stand at 7. Each indexed article contributes around 2.1 citations on average. Latest CiteScore for 2025 is 2.1, indicating a Stable trend. Based on 2025 CiteScore comparison across active journals, this journal falls in Z4. Most cited article currently has 11 citations.

DataCiteX Citation Score

DCS Trend

1 Years
Article Performance

Most Cited Article

11 Cites
2023

Klasifikasi penyakit pada padi dengan ekstraksi fitur LBP dan GLCM

ADP Alwy, MSN Wahid, BNN Ag, MM Fakhri
Journal of Deep Learning, Computer Vision and Digital Image Processing, 1-10, 2023
Citation Intelligence

Citation Snapshot

Current citation and indexing performance of this journal.

Last Updated 05 Aug 2026
Total Citations 21 All-time citation count
H-Index 3 Citation impact indicator
I10-Index 1 Articles with 10+ citations
Indexed Articles 10 Articles currently indexed
Citation History

Yearly Citation Performance

Review annual citation counts and citation growth trends over time.

Annual Data

Yearly Citations

Year Citations
2025
12
2024
8
2023
1
Trend Analysis

Citation Trend

Journal Overview

About This Journal

Learn more about the journal, its editorial focus and research coverage.

Journal of Deep Learning, Computer Vision and Digital Image Processing (DECODING) is an international scholarly communication platform for researchers, academics, and practitioners working in deep learning, computer vision, digital image processing, artificial intelligence, machine learning, soft computing, pattern recognition, multimedia computing, and intelligent systems.
Journal of Deep Learning, Computer Vision and Digital Image Processing (DECODING) publishes high-quality research articles and review papers that contribute meaningful scientific insight and practical value for computer science researchers, AI practitioners, software developers, data scientists, and digital image processing stakeholders. The journal welcomes theoretical, empirical, and applied manuscripts on neural networks, intelligent algorithms, computer vision, image understanding, speech and multimedia processing, data mining, natural language processing, bioinformatics, robotics, prediction, optimization, and related computational applications.
DECODING is an interdisciplinary scholarly journal that publishes high-quality research articles in the broad areas of educational innovation and informatics, computing, and digital technologies. The journal provides a platform for researchers, academics, professionals, and practitioners to disseminate theoretical, empirical, and applied studies that contribute to the advancement of digital transformation, intelligent systems, computing technologies, and technology-enhanced educational practices.

The journal particularly welcomes contributions that explore the development, implementation, integration, evaluation, and impact of technologies in both educational and non-educational contexts. Its focus emphasizes two major domains: innovation in education through digital and intelligent technologies, and advancement in informatics, computing, and digital systems across academic, industrial, and societal settings.

The journal covers, but is not limited to, the following areas:

1. Educational Innovation and Technology-Enhanced Learning
Research focusing on the design, integration, implementation, and evaluation of digital technologies to improve teaching, learning, assessment, and educational management, including:

Computer Science Education and Programming Education
Artificial Intelligence in Education (AIED)
Educational Data Mining and Learning Analytics
Intelligent Tutoring Systems and Adaptive Learning Systems
Digital Learning Environments and Online Learning Systems
Learning Management Systems (LMS) and E-learning Platforms
Immersive Learning Technologies (Virtual Reality, Augmented Reality, Extended Reality)
Mobile Learning and Ubiquitous Learning Environments
Technology-Enhanced Learning (TEL) and Digital Pedagogy
Educational Software and Learning System Development
Digital Assessment and Technology-Based Evaluation Systems
Computational Thinking, AI Literacy, and Digital Literacy in Education
Innovation in Curriculum, Instruction, and Educational Media through Technology
Smart Learning Systems and Personalized Education
Socio-technical Innovation in Educational Contexts
2. Informatics, Computing, and Digital Technologies
Research addressing the design, development, implementation, optimization, and evaluation of computing systems, digital infrastructures, intelligent applications, and emerging technologies, including:

Artificial Intelligence and Machine Learning
Deep Learning and Neural Networks
Data Science, Big Data, and Data Analytics
Software Engineering and Software Development
Computer Systems, Software, and Networking
Computer Networks and Internet Technologies
Cloud Computing, Edge Computing, and Distributed Computing Systems
Internet of Things (IoT), Sensor Networks, and Cyber-Physical Systems
Human–Computer Interaction (HCI) and User Experience (UX)
Intelligent Systems and Decision Support Systems
Natural Language Processing and Computational Applications
Cybersecurity and Information Security
Cyber Crime and Digital Investigation
Social Network and Digital Security
Operating Systems, Computer Architecture, and Embedded Computing
Image, Audio, and Multimedia Processing
Wearable Devices and Smart Sensing Technologies
Embedded Robotics and Microcontroller Systems
Robotics, Automation, and Autonomous Systems
Micro and Nano Technology
Renewable Energy and Intelligent Energy Systems
Green Computing and Sustainable Digital Systems
Emerging Computing Technologies and Digital Systems
3. Digital Systems, Information Technology, and Socio-Technical Transformation
Studies examining the role of digital systems and information technologies in supporting organizational, industrial, social, and institutional transformation, including:

Digital Technology and Socio-Technical Innovation
Information Systems and Enterprise Systems
Decision Support, Fuzzy, and Evolutionary Systems
Business Intelligence and Data-Driven Computing
Digital Services and Platform-Based Innovation
Smart Systems and Intelligent Monitoring
Technology Governance, Digital Trust, and Secure Infrastructures
Human-centered Digital Experience and Interactive Systems
Research Output

Indexed Articles

Explore journal articles ordered by citation performance, with available Scholar, DOI, Crossref and PDF resources.

10 Articles Page 1 of 1
Explore DataCiteX

Explore the Global Research Landscape

Discover journals, researchers, scholarly metrics, citation activity, and connected research records across the DataCiteX ecosystem.