SCOPUS
NEURAL COMPUTING & APPLICATIONS
Springer Nature, United Kingdom
NEURAL COMPUTING & APPLICATIONS is an academic journal published by Springer Nature (United Kingdom). Identifiers: ISSN 0941-0643, eISSN 1433-3058. Indexed in SCOPUS. Metrics: CiteScore 11.7, SJR 1.102, SNIP 1.61. Subject areas: Computer Science, Artificial Intelligence. tlooto lists 15,029 papers from this journal.
CiteScore
11.70
Scopus citation metric
SJR
1.102
SCImago rank
SNIP
1.61
Source normalized impact
Percentage rank
-
JIF percentile rank
Journal profile
- ISSN
- 0941-0643
- eISSN
- 1433-3058
- Abbreviation
- -
- Publisher
- Springer Nature
- Country
- United Kingdom
Web of Science categories
No Web of Science category data available.
Scopus ASJC categories
17021712
Keywords
Computer Science, Artificial Intelligence
Papers in this journal
Recent papers
- A novel approach for crop disease detection using transfer-learning-based deep convolutional neural networks
2026
- Application of CIGAR for collective learning between CNN–BiLSTM models in lithium-ion battery state of health prediction
2026
- 2T-FT: Two-Token Fine-tuning improves zero-shot performance with minimal training
2026
- Interpretable lightweight attention-guided deep learning framework for retinal optic disc and optic cup segmentation
2026
- Enhancing chronic kidney disease diagnosis with polynomial feature expansion and KMeans-guided feature-aware stratified splitting: a comparative machine-learning study
2026
Most cited papers
- Multi-Verse Optimizer: a nature-inspired algorithm for global optimization
2015 · 2,607 citations
- Dragonfly algorithm: a new meta-heuristic optimization technique for solving single-objective, discrete, and multi-objective problems
2015 · 2,505 citations
- A review of feature selection methods based on mutual information
2013 · 1,206 citations
- Cuckoo search: recent advances and applications
2013 · 1,043 citations
- Grey wolf optimizer: a review of recent variants and applications
2017 · 1,014 citations