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applied soft computing journal

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38.8 / 100
Journament Score
Poor
Ranked #12,808 of 20,676 scored journals (33,995 indexed)
24 Articles
Scores higher than 38% of scored journals
050100
The Journament Score is computed from platform statistics — reader engagement, accessibility, publication timeliness, keyword breadth, community impact and content distribution — into a single 0–100 figure, recalculated as new articles and metadata are indexed. Dimensions that cannot be measured for this journal are excluded rather than estimated. It is independent of the paid AI Quality Analysis, which never affects this score or the ranking. Full methodology →

About This Journal

Short Name applied soft computing journal
Abbreviated Name applied soft computing journal

Quality Profile

7 of 12 dimensions measured
This journal Average of scored journals
Platform statistics — the free Journament Score AI Quality Analysis — separate paid product, ranks nothing

5 of the 12 dimensions could not be measured for this journal. They are left as gaps in the shape rather than plotted as zero.

Show the numbers
Dimension This journal Corpus average
Engagement 30.0 30.0
Accessibility 15.0 19.4
Timeliness 50.0 37.9
Diversity 30.0 30.1
Innovation 40.0 37.2
Community Impact 31.5 25.5
Content Distribution 74.7 85.4
Content Quality — 54.2
Ethics & Transparency — 39.5
Editorial Standards — 32.5
Publication Regularity — 51.6
Geographic Reach — 30.0

Publications Per Year

Articles (24)

2020
A novel reinforcement learning based grey wolf optimizer algorithm for unmanned aerial vehicles (UAVs) path planning
Qu, C.
Vol. 89 , pp. 0-0
327 views DOI
2018
Using intelligent computing and data stream mining for behavioral finance associated with market profile and financial physics
Lin, C.
Vol. 68 , pp. 756-764
293 views DOI
2019
A combined Independent Component Analysis–Neural Network model for forecasting exchange rate variation
Henríquez, J.
Vol. 83 , pp. 0-0
270 views DOI
2019
Modeling the process of shaping the public opinion through Multilevel Fuzzy Cognitive Maps
Sánchez, H.
Vol. 85 , pp. 0-0
243 views DOI
2020
A general framework and guidelines for benchmarking computational intelligence algorithms applied to forecasting problems derived from an application domain-oriented survey
Oprea, M.
Vol. 89 , pp. 0-0
239 views DOI
2019
Evaluation of urban taxi-carpooling matching schemes based on entropy weight fuzzy matter-element
Xiao, Q.
Vol. 81 , pp. 0-0
236 views DOI
2020
Optimal parameter tuning of Modified Active Disturbance Rejection Control for unstable time-delay systems using an AHP combined Multi-Objective Quasi-Oppositional Jaya Algorithm
Srikanth, M.
Vol. 86 , pp. 0-0
235 views DOI
2020
Navigational analysis of multiple humanoids using a hybrid regression-fuzzy logic control approach in complex terrains
Kumar, P.
Vol. 89 , pp. 0-0
232 views DOI
2016
Evaluation of co-evolutionary neural network architectures for time series prediction with mobile application in finance
Chandra, R.
Vol. 49 , pp. 462-473
231 views DOI
2020
A hybrid wavelet decomposer and GMDH-ELM ensemble model for Network function virtualization workload forecasting in cloud computing
Jeddi, S.
Vol. 88 , pp. 0-0
220 views DOI
2020
Cryptocurrency malware hunting: A deep Recurrent Neural Network approach
Yazdinejad, A.
Vol. 96 , pp. 0-0
173 views DOI
2020
Hybrid SVM-CIPSO methods for optimal operation of reservoir considering unknown future condition
Moeini, R.
Vol. 95 , pp. 0-0
114 views DOI
2020
A multiclass SVM classifier with teaching learning based feature subset selection for enzyme subclass classification
Pradhan, D.
Vol. 96 , pp. 0-0
146 views DOI
2020
A framework based on (probabilistic) soft logic and neural network for NLP
Gridach, M.
Vol. 93 , pp. 0-0
124 views DOI
2020
Soft computing models for predicting blast-induced air over-pressure: A novel artificial intelligence approach
Nguyen, H.
Vol. 92 , pp. 0-0
107 views DOI
2020
Laplacian least learning machine with dynamic updating for imbalanced classification
Zhou, J.
Vol. 88 , pp. 0-0
55 views DOI
2020
A hybrid wavelet decomposer and GMDH-ELM ensemble model for Network function virtualization workload forecasting in cloud computing
Jeddi, S.
Vol. 88 , pp. 0-0
220 views DOI
2020
A novel reinforcement learning based grey wolf optimizer algorithm for unmanned aerial vehicles (UAVs) path planning
Qu, C.
Vol. 89 , pp. 0-0
327 views DOI
2020
Selection of eco-friendly cities in Turkey via a hybrid hesitant fuzzy decision making approach
Çalış, Boyacı A.
Vol. 89 , pp. 0-0
128 views DOI
2020
Energy-efficient face detection and recognition scheme for wireless visual sensor networks
Zam, A.
Vol. 89 , pp. 0-0
158 views DOI
Journament Score
38.8/100 · Poor
Ranked #12,808 of 20,676 scored
(33,995 journals indexed)
Platform Statistics
AI Quality Analysis
Separate paid analysis — does not affect ranking.
Journament

Overall Quality Score

38.8/100

Tier: Poor

The Journament Overall Quality Score is a comprehensive metric that evaluates academic journals across multiple dimensions including engagement, accessibility, diversity, innovation, and community impact.

This score helps researchers, institutions, and publishers understand the holistic quality and impact of a journal beyond traditional metrics.

Engagement Score

30.0/100

Measures user interactions, views, citations, and community involvement with this journal's content.

Higher engagement scores indicate that the journal's content is actively being read, cited, and discussed within the academic community.

Accessibility Score

15.0/100

Evaluates how easily researchers can access journal content, including open access availability, ISSN registration, and indexing.

This metric considers factors such as paywalls, open access policies, and availability across different academic databases and search engines.

Diversity Score

30.0/100

Assesses geographic and institutional diversity of authors, editorial board composition, and topic breadth.

A diverse journal publishes work from various geographic regions, institutions, and covers a broad range of topics within its field.

Innovation Score

40.0/100

Evaluates research novelty, interdisciplinary work, and emerging topics based on AI analysis of article abstracts.

This score reflects how much the journal publishes cutting-edge research, explores new methodologies, and bridges different academic disciplines.

Community Impact Score

31.5/100

Measures scholarly contribution and real-world applications of published research.

This metric evaluates how the journal's research translates into practical applications, policy changes, and benefits to society beyond academia.

Timeliness Score

50.0/100

Evaluates recent publication activity, publication frequency, and currency of research topics.

Higher scores indicate consistent publishing schedules and timely coverage of current research trends.

Content Distribution

74.7/100

Measures how evenly reader attention spreads across the journal's articles, using the Gini coefficient of article clicks.

Higher scores mean readership is distributed across many articles rather than concentrated on one or two.

Ethics & Transparency Score

Not yet measured

Research Integrity (10% weight)

Assesses COPE standards compliance, ethical considerations in research, transparency in methodologies, and reproducibility practices.

This metric ensures the journal maintains high ethical standards and promotes transparent, trustworthy research.

Content Quality Score

Not yet measured

Academic Rigor (20% weight) + Methodology Quality (12%)

Evaluates research methodology soundness, statistical rigor, theoretical framework strength, appropriateness of research methods, data quality, and clarity & readability.

This comprehensive metric ensures published research meets the highest academic standards.

Editorial Diversity Score

Not yet measured

Author Diversity + Interdisciplinary Value (8%)

Measures geographic diversity of authors, institutional variety, editorial board composition, and cross-disciplinary connections.

Diverse editorial teams bring varied perspectives and reduce bias in academic publishing.

Publication Regularity Score

Not yet measured

Assesses consistency of publication schedule, frequency stability, and predictable output patterns.

Regular publication schedules indicate reliable journal operations and consistent workflow management.

Geographic Reach Score

Not yet measured

Evaluates international author representation, global readership distribution, and cross-border research collaboration.

Wide geographic reach indicates global impact and international recognition of the journal's research.