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CSoNet 2026: International Conference on Computational Science and Network Intelligence

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CSoNet
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투고 마감일:
2026-07-05 Extended
통보일:
2026-08-01
개최일:
2026-11-16
개최지:
Ho Chi Minh City, Vietnam
개최 횟수:
조회: 23901   팔로우: 1   참가: 0

회반 지수 (CP-I)

52.4 / 100
전체 5,682개 중 1,135위 · 상위 20%

시스템·아키텍처 분야 341개 중 133위

학술적 인정 (35%) 데이터 없음 — 중립 기준값 50점으로 계산 —
투고 선별성 (20%) 데이터 없음 — 중립 기준값 50점으로 계산 —
개최 횟수 (20%)
75
커뮤니티 관심도 (10%)
17
공개 자료 충실도 (15%)
55

사용한 입력: 확인되는 개최 횟수: 15 · 회반에서 팔로우 중인 연구자: 1명 · 지난 24개월 동안 이 페이지를 연 연구자: 3명

공개 자료에서 빠진 항목: 역대 게재율 (+4.5) · 최우수 논문 기록 (+2.3)
주최자는 학회를 인증 신청한 뒤 이 페이지에서 바로 추가할 수 있습니다. 점수는 매일 밤 다시 계산됩니다. 이 점수를 올리는 방법

신뢰도 45% — 점수 중 중립 기준값이 아니라 실제 관측된 데이터에 근거한 비율. 이 점수는 어떻게 계산되나 · 전체 순위 보기 · 알고리즘 버전 1.1 · 산출일 2026-09-16

논문 모집

CSoNet 2026 (International Conference on Computational Science and Network Intelligence) is an academic conference held in Ho Chi Minh City, Vietnam on 2026-11-16. The paper submission deadline is 2026-07-05 (extended). Acceptance notifications are sent on 2026-08-01.

The 15th International Conference on Computational Science and Network Intelligence (CSoNet 2026) continues the tradition of the CSoNet conference series, which for fourteen years has provided a premier forum for research on networks, data, and computational methods. Beginning with its 15th edition, CSoNet adopts the expanded name Conference on Computational Science and Network Intelligence to reflect the evolving scope of the field. While maintaining its strong foundations in network science and data-driven modeling, CSoNet now explicitly embraces emerging directions in network learning and structure-aware AI. CSoNet 2026 aims to serve as a premier interdisciplinary forum for researchers, engineers, and practitioners to present and exchange original, unpublished research on the theoretical foundations, methodological advances, and real-world applications of computational intelligence in modern systems and networks. The conference will be organized at Ho Chi Minh City University of Technology (HCMUT), Ho Chi Minh City, Vietnam. Topics of interest include, but are not limited to: Track A. Network Intelligence and Graph-Based Methods Graph theory and combinatorial optimization Network algorithms and analysis Graph neural networks and representation learning Learning on structured and relational data Dynamic, temporal, and evolving networks Complex networks and multilayer networks Network robustness, diffusion, and resilience Graph foundation models and scalable graph learning Track B. Computational Science and Scientific Computing Numerical methods and large-scale optimization High-performance and parallel computing Scientific machine learning Simulation and modeling of complex systems Computational engineering and digital twins Data-driven modeling of physical and cyber-physical systems Distributed and large-scale algorithms Track C. Artificial Intelligence and Data-Driven Methods Machine learning and deep learning AI for structured and scientific data Data mining and knowledge discovery Explainable and trustworthy AI Large-scale data analytics Optimization in AI systems Reinforcement learning and adaptive systems Track D. Applications in Complex Systems Smart cities and urban systems Energy and sustainability systems Healthcare and biomedical systems Financial and economic systems Transportation and infrastructure networks Industrial AI and intelligent manufacturing Security, resilience, and risk analysis Accepted papers will be published in Springer’s Lecture Notes in Computer Science, and indexed by ISI (CPCI-S, included in ISI Web of Science), EI Engineering Index (Compendex and Inspec databases), ACM Digital Library, DBLP, Google Scholar, MathSciNet, etc. Also, extended versions of selected best papers will be invited for publication in Journal of Combinatorial Optimization, Applied Network Science, and IEEE Transactions on Network Science and Engineering. Journal Track: Instead of having extended manuscripts published in journals, CSoNet 2026 introduces a special Journal Track designed to provide a direct pathway for high-quality research and survey papers to be published in prestigious journals. Authors submit their original work directly to this track. Submissions are reviewed specifically to meet journal publication standards. Accepted papers will be published directly in one of the following journals: Journal of Combinatorial Optimization, Applied Network Science, and IEEE Transactions on Network Science and Engineering. Authors of accepted journal papers must register and present their work at CSoNet 2026.
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관련 저널

CCF정식 명칭영향력 지수출판사ISSN
Journal of Computational Science3.7Elsevier1877-7503
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
BPattern Recognition7.6Elsevier0031-3203
IEEE Access3.6IEEE2169-3536

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