Chinese Journal of Academic Radiology is a leading publication in the field of Radiology, Nuclear Medicine, and Imaging, published by SpringerNature. With an ISSN of 2520-8985 and E-ISSN 2520-8993, the journal aims to bridge the gap between academic research and practical application in radiological sciences. Recognized for its contributions to the advancement of imaging technology and patient care, it currently holds a Q3 quartile ranking for 2023. The journal has a commitment to sharing innovative research findings that address pressing challenges in the field, thereby fostering collaboration and knowledge exchange among researchers, professionals, and students. Although it does not currently offer open access options, the journal's comprehensive reviews and high-quality research articles present a significant resource for those seeking to deepen their understanding of radiological practices and innovations. The Chinese Journal of Academic Radiology continues to play a vital role in shaping the future of radiological science through rigorous scholarship and global discourse.

JOURNAL OF MATHEMATICAL IMAGING AND VISION, published by Springer, stands as a significant platform for advancing the fields of applied mathematics, computer vision, and pattern recognition, among others. With an ISSN of 0924-9907 and an E-ISSN of 1573-7683, this esteemed journal is based in the Netherlands and has been contributing to the scholarly discourse since its inception in 1992, with a converged focus through 2024. It has achieved reputable standings within several quartiles, including Q2 rankings across applied mathematics, geometry and topology, and condensed matter physics, reflecting its impact and relevance. Notably, the journal ranks within the top 5% in Geometry and Topology and maintains robust standings in Statistics and Probability. The JOURNAL OF MATHEMATICAL IMAGING AND VISION is dedicated to publishing high-quality research that bridges theoretical perspectives with practical applications, making it an essential resource for researchers, professionals, and students who are exploring the cutting-edge of mathematical imaging and its interdisciplinary applications.

SIGNAL PROCESSING-IMAGE COMMUNICATION, published by Elsevier, is a leading journal in the fields of Computer Vision, Signal Processing, and Electrical Engineering. With an impressive range of Quartile rankings in 2023, including Q1 in Electrical and Electronic Engineering and Q2 in Signal Processing, this journal is vital for researchers and professionals seeking the latest advancements and comprehensive studies in image communication technologies. Issued in the Netherlands, SIGNAL PROCESSING-IMAGE COMMUNICATION has been an essential resource since its inception in 1989, fostering innovation and collaboration among academia and industry. The journal provides a platform for high-quality peer-reviewed research, addressing significant challenges and solutions in the convergence of image processing and communication. Although currently not an Open Access journal, it offers subscription options that ensure a broad dissemination of groundbreaking knowledge. With a robust reputation reflected in its Scopus ranks, this journal serves as an indispensable reference for students and experts aiming to stay at the forefront of developments in this dynamic field.

COMPUTERIZED MEDICAL IMAGING AND GRAPHICS, published by PERGAMON-ELSEVIER SCIENCE LTD, is a leading international journal that has significantly contributed to the fields of medical imaging, graphics, and informatics since its establishment in 1988. With a remarkable reputation reflected in its Q1 quartile rankings across multiple categories—including Computer Graphics, Health Informatics, and Radiology—this journal maintains a prominent position in the academic community, evidenced by its Scopus rankings where it ranks in the top percentile across various disciplines. The journal aims to advance knowledge and innovation within the intersection of technology and healthcare, featuring high-quality research that addresses contemporary challenges in medical imaging and graphical methodologies. With no open access options currently available, this journal serves as a crucial resource for researchers, professionals, and students who are at the forefront of advancing imaging technology and its applications in medicine.

Current Medical Imaging is a reputable journal published by Bentham Science Publishers, specializing in the dynamic field of medical imaging, with a strong emphasis on both clinical applications and technological advancements. Established in 2007, the journal has made significant contributions to the fields of Internal Medicine and Radiology, consistently ranking in the Q3 quartile for these categories as of 2023. The journal's ISSN 1573-4056 and E-ISSN 1875-6603 ensure wide accessibility for scholarly communication, although it operates under a traditional access model. With its continuous publication from 2011 to 2024, Current Medical Imaging aims to bridge the gap between advanced imaging techniques and their practical application in patient care, making it indispensable for researchers, healthcare professionals, and students eager to stay at the forefront of innovations in imaging technology and clinical practice.

The Journal of Medical Imaging, published by SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS, is an esteemed publication in the field of medical imaging, playing a pivotal role in advancing the discipline since its inception in 2014. With an ISSN of 2329-4302 and an E-ISSN of 2329-4310, this journal has garnered significant recognition, evidenced by its Q2 ranking in 2023 within the critical category of Radiology, Nuclear Medicine, and Imaging. The journal is dedicated to presenting cutting-edge research and innovations that enhance diagnostic imaging techniques and methodologies, appealing to a diverse audience of researchers, professionals, and students alike. Offering valuable insights into the interplay of optics and imaging technologies, it serves as a crucial resource for fostering knowledge and collaboration in the medical community. Notably, it holds a competitive rank of #136 out of 333 in its Scopus category, placing it in the 59th percentile—a testament to its influence and relevance in ongoing medical research. Therefore, the Journal of Medical Imaging stands out as an essential platform for disseminating transformative findings and innovations in healthcare imaging.

MEDICAL IMAGE ANALYSIS, published by ELSEVIER, stands as a premier journal in the fields of computer science and medical imaging, particularly focusing on the intersection of Computer Graphics, Computer Vision, and Health Informatics. With an impressive impact factor and a consistent classification in the Q1 quartile across multiple domains including Radiology and Radiological Technology, this journal attracts high-quality research and innovative methodologies that significantly contribute to advancing medical practices and technology. Based in the Netherlands, and covering a gamut of topics from 1996 to 2025, it serves as a vital platform for disseminating cutting-edge studies aiming to enhance diagnostic accuracy and treatment planning through sophisticated imaging techniques. While it does not offer Open Access options, the journal’s rigorous peer-review process and high Scopus rankings—positioning it within the top percentiles across several categories—further solidify its reputation as an essential resource for researchers, professionals, and students committed to the evolution of medical imaging.

Traitement du Signal, published by the INT Information & Engineering Technology Association, is a distinguished journal that serves the vibrant field of Electrical and Electronic Engineering. With an ISSN of 0765-0019 and an E-ISSN of 1958-5608, this journal has made significant contributions to the discipline since its inception. While it currently operates under a non-open access model, it maintains its commitment to disseminating valuable research from 2010 to 2023, despite its recent discontinuation in Scopus coverage. Recognized in the third quartile (Q3) of the category in 2022, the journal provides a platform for researchers, professionals, and students to publish their findings on topics such as signal processing, communications, and related technologies. By curating high-quality articles, Traitement du Signal plays a crucial role in advancing knowledge and fostering innovation within the electrical and electronic engineering community.

Image Analysis & Stereology is a premier open-access journal dedicated to the dynamic fields of image analysis and stereological methods, published by the International Society for Stereology. Since its inception in 2000, this journal has provided an essential platform for researchers and professionals to disseminate their findings and share innovative methodologies across various disciplines, including Acoustics, Biotechnology, Computer Vision, and Materials Science. As a respected publication with a broad scope, the journal holds a Q3 ranking across multiple categories and is indexed in Scopus. With its commitment to advancing research and enhancing academic discourse, Image Analysis & Stereology is vital for anyone involved in quantitative imaging studies, offering valuable insights and access to groundbreaking research in a rapidly evolving landscape.

MACHINE VISION AND APPLICATIONS is a distinguished peer-reviewed journal published by SPRINGER, serving as a vital platform for innovative research in the fields of computer vision, pattern recognition, and their applications within hardware and software systems. Since its inception in 1988, the journal has been at the forefront of disseminating cutting-edge findings and advances in machine vision technologies, significantly contributing to the global academic discourse. With an impressive track record, the journal ranks in the Q2 category across various domains in the 2023 Scopus rankings, reflecting its esteemed position in Computer Science Applications, Computer Vision and Pattern Recognition, Hardware and Architecture, and Software. Although it does not currently offer open access options, MACHINE VISION AND APPLICATIONS remains a critical resource for researchers, professionals, and students eager to explore emerging trends and methodologies in the rapidly evolving landscape of machine vision.