Neural Networks : the Official Journal of the International Neural Network Society
Overview
Neural Networks is the official journal of the International Neural Network Society, providing a platform for researchers and practitioners to explore the latest advancements in the field of neural networks. This interdisciplinary journal covers topics such as computational neuroscience, machine learning, artificial intelligence, and cognitive science, fostering the exchange of knowledge and ideas among experts worldwide. With a focus on both theoretical and practical aspects, Neural Networks serves as a valuable resource for those interested in understanding and applying neural network models
Details
Details
Abbr.
Neural Netw
Start
1988
End
Continuing
Frequency
Ten no. a year, 1999-
p-ISSN
0893-6080
e-ISSN
1879-2782
Country
United States
Language
English
Metrics
Metrics
h-index / Ranks: 1033
173
SJR / Ranks: 775
2605
CiteScore / Ranks: 671
14.50
JIF / Ranks: 720
7.8
Recent Articles
11.
Tian X, Li H, Lin H, Li C, Wang Y, Bai H, et al.
Neural Netw
. 2025 Mar;
187:107343.
PMID: 40081274
Mild cognitive impairment (MCI) is a precursor to Alzheimer's disease (AD), and its progression involves complex pathogenic mechanisms. Specifically, disturbed by gene variants, the regulation of gene expression ultimately changes...
12.
Wang S, Zhou D, Xie L, Xu C, Yan Y, Yin E
Neural Netw
. 2025 Mar;
187:107320.
PMID: 40081273
Vision-and-language navigation (VLN) tasks require agents to navigate three-dimensional environments guided by natural language instructions, offering substantial potential for diverse applications. However, the scarcity of training data impedes progress in...
13.
Su X, Yang J, Wu J, Qiu Z
Neural Netw
. 2025 Mar;
187:107302.
PMID: 40081272
Nowadays social media is the primary platform for people to obtain news and share information. Combating online fake news has become an urgent task to reduce the damage it causes...
14.
Huang H, Li J, Lu F, Wang L, Li Q, Sun Q
Neural Netw
. 2025 Mar;
187:107295.
PMID: 40081271
The user identity linkage task aims to associate user accounts belonging to the same individual by utilizing user data. This task is relevant in domains such as recommendation systems, where...
15.
Pu R, Yu L, Zhan S, Xu G, Zhou F, Ling C, et al.
Neural Netw
. 2025 Mar;
187:107275.
PMID: 40081270
Existing research on federated learning (FL) usually assumes that training labels are of high quality for each client, which is impractical in many real-world scenarios (e.g., noisy labels by crowd-sourced...
16.
Tewolde T, Manjotho A, Sarker P, Niu Z
Neural Netw
. 2025 Mar;
187:107315.
PMID: 40081269
Hand pose estimation approaches commonly rely on shared hand feature maps to regress the 3D locations of all hand joints. Subsequently, they struggle to enhance finger-level features which are invaluable...
17.
Lin W, Chen Z, Chen Y, Wang S
Neural Netw
. 2025 Mar;
187:107313.
PMID: 40081268
Topological structures of real-world graphs often exhibit heterogeneity involving diverse nodes and relation types. In recent years, heterogeneous graph learning methods utilizing meta-paths to capture composite relations and guide neighbor...
18.
Zhao J, Zhao W, Zhai Y, Zhang L, Ding Y
Neural Netw
. 2025 Mar;
187:107316.
PMID: 40073619
Distributed machine learning in mobile adhoc networks faces significant challenges due to the limited computational resources of devices, non-IID data distribution, and dynamic network topology. Existing approaches often rely on...
19.
Liu Y, Chen L, Zhao Y, Wang Z
Neural Netw
. 2025 Mar;
187:107331.
PMID: 40073618
This paper studies the problem of mean square exponential stability (ES) for a class of impulsive stochastic infinite-dimensional systems with Poisson jumps (ISIDSP) using aperiodically intermittent control (AIC). It provides...
20.
Peng C, Chen T, Liu D, Guo H, Wang N, Gao X
Neural Netw
. 2025 Mar;
187:107310.
PMID: 40068498
Face forgery detection aims to distinguish AI generated fake faces with real faces. With the rapid development of face forgery creation algorithms, a large number of generative models have been...