# Connection Science

- **Publisher**: Taylor & Francis
- **ISSN**: 0954-0091
- **Impact factor**: 3.4
- **CCF rank**: C
- **Trackers**: 6
- **Canonical page**: https://www.myhuiban.com/journal/206

## Call for papers

Aims and scope Please note, from 2022 the Print ISSN is not in active use as this journal is no longer published in print. Connection Science is an interdisciplinary journal dedicated to exploring the convergence of the analytic and synthetic sciences, including neuroscience, computational modelling, artificial intelligence, machine learning and deep learning. A strong focus is on the articles arising from connectionist, probabilistic, dynamical, or evolutionary approaches in aspects of Computer Science, applied applications, and systems-level computational subjects that seek to understand models in science and engineering. *Please note that Connection Science converted to a full Open Access journal from Volume 34 (2022).

## Related conferences

- ICC — International Conference on Communications — https://www.myhuiban.com/conference/318
- IJCNN — International Joint Conference on Neural Networks — https://www.myhuiban.com/conference/428
- TrustCom — International Conference on Trust, Security and Privacy in Computing and Communications — https://www.myhuiban.com/conference/1289
- ICONIP — International Conference on Neural Information Processing — https://www.myhuiban.com/conference/437
- HPCC — International Conference on High Performance  Computing and  Communications — https://www.myhuiban.com/conference/232

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Source: Conference Partner — https://www.myhuiban.com/journal/206 (rankings reproduced from CCF / ICORE / QUALIS; data cached up to 1 hour)