Journal Report

APPLIED SOFT COMPUTING

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Journal Information
Journal Title
APPLIED SOFT COMPUTING
Publisher
ELSEVIER
ISSN
1568-4946
E-ISSN
1872-9681
Database
Clarivate
Domain
Physical Sciences, Social Sciences
Classification History
Year A+ A B C
2026 ✓ ✓
2025 ✓ ✓
2024 ✓ ✓
2023 ✓ ✓
2021/2022 ✓ ✓
2020 ✓ ✓
2019 ✓ ✓
2018 ✓
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Recent Articles
Dual-space MLPs for modeling both homophily and heterophily via distillation
Guoguo Ai, Yuan Gao, Hui Yan
2027-2 Vol. 205 Pages 116819
DOI: 10.1016/j.asoc.2026.116819
Formulation and metaheuristic algorithms to solve sustainable job-shop scheduling problem with energy and tardiness objectives
Saddam Hocine Bouzegag, Saadettin Erhan Kesen, Yakup Atasagun
2027-2 Vol. 205 Pages 116712
DOI: 10.1016/j.asoc.2026.116712
Toward explainable and fair recommender systems: A survey of methods, taxonomies, and challenges
Mohammad Reza Hassanpour Charmchi, Masoume Gholizade, Shib Sankar Sana
2027-2 Vol. 205 Pages 116779
DOI: 10.1016/j.asoc.2026.116779
Edge-decoupled semantic suppression and alternating dual-calibration for copy-move forgery detection
Yakun Niu, Xinjie Wu
2027-2 Vol. 205 Pages 116811
DOI: 10.1016/j.asoc.2026.116811
Boundary-aware pruning of one-class ensembles via a modified quantum genetic algorithm for industrial processes
Kaidi Zhang, Zhizhong Mao, Biao Wang
2027-2 Vol. 205 Pages 116810
DOI: 10.1016/j.asoc.2026.116810
Apple grading with multi-view feature fusion and a cost-sensitive dual-weight belief rule base
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2027-2 Vol. 205 Pages 116775
DOI: 10.1016/j.asoc.2026.116775
A physics-informed SmoothKAN framework for nonlinear consolidation
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2027-2 Vol. 205 Pages 116790
DOI: 10.1016/j.asoc.2026.116790
A computational framework for large-scale exploration of fused map projections with distortion estimation and anomaly detection
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2027-2 Vol. 205 Pages 116778
DOI: 10.1016/j.asoc.2026.116778
Hydrology–hydrodynamics-informed explainable soft computing for joint water quality, phytoplankton, and algal bloom risk forecasting
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2027-2 Vol. 205 Pages 116672
DOI: 10.1016/j.asoc.2026.116672
MusicCLIP: An agentic-inspired structure-aware multimodal framework for music genre classification and mood recognition
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DOI: 10.1016/j.asoc.2026.116774
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Printed: November 10, 2026 00:41