[Initial Submission] ──> [First Decision: ~3–4 Months] ──> [Revisions: 1–2 Months] ──> [Final Acceptance: ~6–9 Months Total] 1. Peer-Review Turnaround Time
LetPub provides an invaluable data-driven lens through which to view Neural Computing and Applications . Based on the evidence, here is a final assessment:
| Journal | LetPub IF (approx) | Review speed | |---------|-------------------|---------------| | Neurocomputing | ~5.5 | 2–4 months | | Applied Soft Computing | ~6.5 | 3–5 months | | Neural Networks | ~7.0 | 2–3 months | | IEEE TNNLS | ~11.0 | 4–6 months |
Users on LetPub report an average acceptance rate of around 50% , though internal editorial standards remain rigorous. neural computing and applications letpub
: The journal prioritizes articles on adaptive computing, genetic algorithms, fuzzy logic, and hybrid intelligent systems.
, the journal maintains a 2025/2026 CiteScore of 11.7 (Q1) and a roughly 50% acceptance rate, with a substantial portion of submissions coming from Chinese researchers . For detailed submission metrics, visit LetPub.
The journal serves as a repository for hybrid intelligent systems. This includes innovative variations of deep convolutional neural networks (CNNs), recurrent spiking neural networks, transformers tailored for open-set processing, and neuro-fuzzy architectures. 2. Heuristic and Evolutionary Optimization : The journal prioritizes articles on adaptive computing,
Neural Computing and Applications publishes original research and reviews in the fields of and related applications . It covers:
While LetPub provides crowd-sourced timelines, the official indexing data confirms the journal's strong academic standing:
: Averages 3 to 5 months . The paper is typically assigned to 3 or more expert reviewers. The journal serves as a repository for hybrid
: Neuromorphic computing and VLSI design for neural networks. 📊 LetPub Metrics and Performance Indicators
Thinking about computers usually brings to mind silicon chips and binary code. But a new frontier is emerging: . By mimicking the human brain’s architecture, this technology is redefining what machines can achieve. What is Neural Computing?
| Journal | Impact Factor (approx) | Review Speed | Acceptance Rate | Publisher | |---------|------------------------|--------------|----------------|-----------| | | 5.6 | 4–6 months | ~25% | Springer | | Neurocomputing | 6.0 | 3–5 months | ~22% | Elsevier | | Neural Networks | 7.8 | 5–7 months | ~18% | Elsevier | | IEEE Trans. on Neural Networks and Learning Systems | 10.4 | 6–9 months | ~12% | IEEE | | Applied Soft Computing | 8.7 | 4–6 months | ~20% | Elsevier |
Integration of fuzzy logic with neural computing to handle system uncertainties. 2. Leveraging LetPub Metrics for Strategic Submission
Some authors report instances where reviewers hold conflicting views, requiring careful navigation during the rebuttal phase.