Journal of Combinatorial Mathematics and Combinatorial Computing

Aims & Scope

The Journal of Combinatorial Mathematics and Combinatorial Computing (JCMCC) is a peer-reviewed, interdisciplinary journal dedicated to advancing the fields of combinatorial mathematics, combinatorial computing, Artificial Intelligence and applications.

The journal provides a platform for researchers, mathematicians, computer scientists, and practitioners to disseminate their original research, cutting-edge developments, and innovative applications in these interconnected disciplines.

The scope of JCMCC includes, but is not limited to, the following topics: 1.

Combinatorial Mathematics: • Graph theory and applications • Combinatorial optimization • Enumerative combinatorics • Ramsey theory • Algebraic combinatorics • Combinatorial designs • Coding theory • Extremal combinatorics • Partitions and compositions • Combinatorial algorithms and complexity 2.

Combinatorial Computing: • Computational combinatorics • Algorithms for combinatorial problems • Computational complexity of combinatorial tasks • Combinatorial aspects of computer science and information technology • Computational graph theory • Network analysis and algorithms • Computational combinatorial optimization 3.

Combinatorial Applications: • Combinatorial aspects in cryptography and security • Combinatorial aspects in bioinformatics and computational biology • Combinatorial aspects in communication networks • Combinatorial aspects in social networks and analysis • Combinatorial aspects in data science and machine learning • Combinatorial aspects in operations research and decision-making • Combinatorial aspects in scheduling and resource allocation • Combinatorial aspects in coding and error-correction techniques • Combinatorial aspects in mathematical physics and chemistry 4.

Artificial Intelligence (AI): • Machine Learning • Deep Learning • [...]

Metrics & Ranking

Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Mathematics, designed to support cutting-edge academic discovery.

Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Optimization Practice of University Innovation and Entrepreneurship Education Based on the Perspective of OBE

  Citation: 10

  Authors: Qi, Xiangzhe

• Minimizing Emotional Labor through Artificial Intelligence for Effective Labor Management of English Teachers

  Citation: 9

  Authors: Qin

• English Teaching Project Quality Evaluation Based on Deep Decision-Making and Rule Association Analysis

  Citation: 9

  Authors: Qinsi

• Identification of Traditional Culture Communication in Social Media Based on Information Dissemination Tree

  Citation: 8

  Authors: Lin, Jie

• Optimizing English Education in the Information Era: A Multimodal Approach Based on BOPPPS Teaching Model

  Citation: 8

  Authors: Jia

• Study of Topological Behavior of Some Computer Related Graphs

  Citation: 8

  Authors: Xiaohui, Iftikhar, Rui

• The Evaluation and Development of University English Teaching Quality Based on Wireless Network Artificial Intelligence

  Citation: 6

  Authors: Guochang

• Big Data Analysis Based on the Evaluation of College Students’ Civic Web

  Citation: 6

  Authors: Yan, Bo, Penghui

• Construction and analysis of a business English classroom teaching quality evaluation system based on multimodal neural network model assessment

  Citation: 6

  Authors: Rui

• Cycles and Paths Related Vertex-Equitable Graphs

  Citation: 5

  Authors: Saima, Najma, Ebenezer