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JOASR
Peer reviewed only Open Access

Journal of Asian Scientific Research (JOASR)

Publisher : JOASR
multipledisciplines Computer Science Robotics
e-ISSN Awaied._XXXX
Issue Frequency Bi-Monthly
Est. Year 2010
Mobile 1234567809
Language English
APC YES
Impact Factor Assignee Google Scholar
Email editor.joasr@gmail.com

Journal Descriptions

Journal of Asian Scientific Research (JOASR) is a distinguished open-access, peer-reviewed international journal dedicated to publishing research across multiple disciplines in science and technology. The journal prioritizes research that is scientifically rigorous and technically sound, ensuring its dissemination to the global research community. The Journal of Asian Scientific Research (JOASR) aims to advance the frontiers of knowledge in science and technology through the publication of high-quality, peer-reviewed research. We are dedicated to fostering a collaborative and inclusive research environment that bridges the gap between various scientific disciplines and their applications. Our objective is to disseminate scientifically valid and technically sound research that addresses critical challenges and opportunities in diverse fields, thereby contributing to the global scientific community and society at large. The scope of the Journal of Asian Scientific Research (JOASR) encompasses a broad range of disciplines, including but not limited to: Computer Science Electronics & Communication Robotics Biological Sciences Health Sciences Earth and Environmental Sciences Physical Sciences Scientific Community and Society

Journal of Asian Scientific Research (JOASR) is :-

  • International, Peer-Reviewed, Open Access, Refereed, multipledisciplines, Computer Science, Robotics, Health Sciences , Online , Bi-Monthly Journal

  • UGC Approved, ISSN Approved: P-ISSN E-ISSN: Awaied._XXXX, Established: 2010,
  • Does Not Provide Crossref DOI
  • Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE

Indexing

Publications of JOASR

qit press May, 2025
Differential diagnosis in clinical decision-making demands robust reasoning and explainability to ensure trustworthy and efficient patient care. While deep learning models have demonstrated ...
qit press May, 2025
Differential diagnosis in clinical decision-making demands robust reasoning and explainability to ensure trustworthy and efficient patient care. While deep learning models have demonstrated ...