As the field of deep learning continues to gain prominence in the realm of artificial intelligence (AI), researchers and practitioners alike are constantly on the lookout for reputable journals that publish high-quality research in this area. Scopus, a widely recognized and comprehensive abstract and citation database, is a valuable resource for identifying top journals in various fields, including deep learning. In this article, ilovephd will highlight the top 10 Scopus-indexed journals in deep learning, providing their ISSN number, URL, and impact factor.
Top 10 Scopus Indexed Journals in Deep Learning for Cutting-Edge Research
- Journal of Machine Learning Research (ISSN: 1532-4435) – URL: https://www.jmlr.org/ – Impact Factor: 7.640
The Journal of Machine Learning Research (JMLR) is a leading open-access journal that covers a broad range of machine learning topics, including deep learning. With a high impact factor of 7.640, JMLR publishes cutting-edge research in the field of deep learning, including theoretical foundations, algorithms, applications, and more.
2. IEEE Transactions on Pattern Analysis and Machine Intelligence (ISSN: 0162-8828) - URL: https://www.computer.org/csdl/home/journal/tp - Impact Factor: 17.861The IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) is a renowned journal that focuses on computer vision, pattern recognition, and machine intelligence, which includes deep learning. With a high impact factor of 17.861, TPAMI publishes top-quality research on the latest advancements and applications of deep learning techniques.
3. Neural Networks (ISSN: 0893-6080) - URL: - Impact Factor: 7.195Neural Networks, published by Elsevier, is a well-established journal that covers various aspects of neural computing, including deep learning. With an impact factor of 7.195, Neural Networks publishes research on cutting-edge deep learning methodologies, applications, and computational models.
4. IEEE Transactions on Neural Networks and Learning Systems (ISSN: 2162-2388) - URL: https://www.computer.org/csdl/home/journal/tnnls - Impact Factor: 11.683The IEEE Transactions on Neural Networks and Learning Systems (TNNLS) is a prestigious journal that focuses on neural networks, machine learning, and related topics, including deep learning. With a high impact factor of 11.683, TNNLS publishes high-quality research on the latest advancements and applications of deep learning techniques.
5. Pattern Recognition (ISSN: 0031-3203) - URL: - Impact Factor: 8.986Pattern Recognition, published by Elsevier, is a well-recognized journal that covers a wide range of topics in pattern recognition, including deep learning. With an impact factor of 8.986, Pattern Recognition publishes research on the latest advancements and applications of deep learning methodologies in areas such as image recognition, speech processing, and natural language processing.
6. ACM Transactions on Intelligent Systems and Technology (ISSN: 2157-6904) - URL: - Impact Factor: 3.667The ACM Transactions on Intelligent Systems and Technology (TIST) is a respected journal that covers various aspects of intelligent systems, including deep learning. With a focus on interdisciplinary research, TIST publishes high-quality research on the latest advancements and applications of deep learning in areas such as computer vision, speech processing, and data analytics.
7. Information Sciences (ISSN: 0020-0255) - URL: - Impact Factor: 6.387Information Sciences, published by Elsevier, is a comprehensive journal that covers various aspects of information processing, including deep learning. With an impact factor of 6.387, Information Sciences publishes research on the latest advancements and applications of deep learning methodologies in areas such as data mining, natural language processing, and image recognition.
8. International Journal of Computer Vision (ISSN: 0920-5691) - URL: https://www.springer.com/journal/11263 - Impact Factor: 15.629The International Journal of Computer Vision (IJCV) is a leading journal in the field of computer vision, which includes deep learning. With a high impact factor of 15.629, IJCV publishes cutting-edge research on the latest advancements and applications of deep learning techniques in areas such as object recognition, scene understanding, and image generation.
9. Neural Computing and Applications (ISSN: 0941-0643) - URL: https://www.springer.com/journal/521 - Impact Factor: 4.774Neural Computing and Applications, published by Springer, is a well-respected journal that covers various aspects of neural computing, including deep learning. With an impact factor of 4.774, Neural Computing and Applications publish research on the latest advancements and applications of deep learning methodologies in areas such as speech processing, pattern recognition, and bioinformatics.
10. IEEE Transactions on Cognitive and Developmental Systems (ISSN: 2379-8920) - URL: https://www.computer.org/csdl/home/journal/tcds - Impact Factor: 3.562The IEEE Transactions on Cognitive and Developmental Systems (TCDS) is a unique journal that focuses on the interdisciplinary field of cognitive and developmental systems, which includes deep learning. With a focus on understanding and replicating human-like cognitive processes, TCDS publishes research on the latest advancements and applications of deep learning techniques in areas such as cognitive robotics, autonomous systems, and human-robot interaction.
These top 10 Scopus-indexed journals in deep learning provide valuable resources for researchers and practitioners in the field of artificial intelligence. These journals publish high-quality research on the latest advancements and applications of deep learning methodologies, providing a platform for cutting-edge research to advance the field. Researchers interested in deep learning can refer to these journals for authoritative publications, and stay up-to-date with the latest trends and developments in this dynamic field.
Note: Impact factor values mentioned in this article are as per the latest available data at the time of the knowledge cutoff date (September 2021) and may be subject to change. It is recommended to refer to the respective journal websites or Scopus database for the most updated and accurate impact factor values
