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engineering applications of artificial intelligence

ISSN 0952-1976· EN

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38.5 / 100
Journament Score
Poor
Ranked #13,261 of 19,868 scored journals (33,995 indexed)
15 Articles
Scores higher than 33.2% 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 engineering applications of artificial intelligence
Abbreviated Name engineering applications of artificial intelligence
ISSN 0952-1976

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 30.1 29.9
Accessibility 15.0 19.8
Timeliness 50.0 40.7
Diversity 30.0 30.0
Innovation 40.0 37.6
Community Impact 32.0 27.6
Content Distribution 73.0 84.9
Content Quality — 54.2
Ethics & Transparency — 39.5
Editorial Standards — 32.5
Publication Regularity — 51.6
Geographic Reach — 30.0

Publications Per Year

Articles (15)

2019
Data interpretation framework integrating machine learning and pattern recognition for self-powered data-driven damage identification with harvested energy variations
Salehi, H.
Vol. 86 , pp. 136-153
281 views DOI
2020
Parameters identification of Bouc–Wen hysteresis model for piezoelectric actuators using hybrid adaptive differential evolution and Jaya algorithm
Son, N.
Vol. 87 , pp. 0-0
249 views DOI
2020
A study on leading machine learning techniques for high order fuzzy time series forecasting
Panigrahi, S.
Vol. 87 , pp. 0-0
244 views DOI
2019
A real-time parking service with proxy re-encryption in vehicular cloud computing
Lin, I.
Vol. 85 , pp. 208-213
238 views DOI
2019
Magnetic Resonance Imaging, texture analysis and regression techniques to non-destructively predict the quality characteristics of meat pieces
Ávila, M.
Vol. 82 , pp. 110-125
234 views DOI
2020
Teaching machines to write like humans using L-attributed grammar
Shao, Y.
Vol. 90 , pp. 0-0
211 views DOI
2019
DD-CycleGAN: Unpaired image dehazing via Double-Discriminator Cycle-Consistent Generative Adversarial Network
Zhao, J.
Vol. 82 , pp. 263-271
190 views DOI
2020
Picture fuzzy time series: Defining, modeling and creating a new forecasting method
Egrioglu, E.
Vol. 88 , pp. 0-0
186 views DOI
2020
Three-dimensional pavement crack detection based on primary surface profile innovation optimized dual-phase computing
Ju Huyan,Wei Li,Susan Tighe,Liyang Xiao,Zhao-Yun Sun,Nana Shao;Ju Huyan;Wei Li;Susan Tighe;Liyang Xiao;Zhao-Yun Sun;Nana Shao;
Vol. 89 , pp. 103376-
175 views DOI
2020
A point-of-interest suggestion algorithm in Multi-source geo-social networks
Xiong, X.
Vol. 88 , pp. 0-0
161 views DOI
2024
Cost aware LSTM model for predicting hard disk drive failures based on extremely imbalanced S.M.A.R.T. sensors data
Ahmed, J.
Vol. 127 , pp. 0-0
46 views DOI
2020
Three-dimensional pavement crack detection based on primary surface profile innovation optimized dual-phase computing
Ju Huyan,Wei Li,Susan Tighe,Liyang Xiao,Zhao-Yun Sun,Nana Shao;Ju Huyan;Wei Li;Susan Tighe;Liyang Xiao;Zhao-Yun Sun;Nana Shao;
Vol. 89 , pp. 103376-
175 views DOI
2020
A novel methodology to classify test cases using natural language processing and imbalanced learning
Tahvili, S.
Vol. 95 , pp. 0-0
143 views DOI
2020
Teaching machines to write like humans using L-attributed grammar
Shao, Y.
Vol. 90 , pp. 0-0
211 views DOI
2020
A point-of-interest suggestion algorithm in Multi-source geo-social networks
Xiong, X.
Vol. 88 , pp. 0-0
161 views DOI
2020
Parameters identification of Bouc–Wen hysteresis model for piezoelectric actuators using hybrid adaptive differential evolution and Jaya algorithm
Son, N.
Vol. 87 , pp. 0-0
249 views DOI
2020
A study on leading machine learning techniques for high order fuzzy time series forecasting
Panigrahi, S.
Vol. 87 , pp. 0-0
244 views DOI
2020
Picture fuzzy time series: Defining, modeling and creating a new forecasting method
Egrioglu, E.
Vol. 88 , pp. 0-0
186 views DOI
2020
ElHealth: Using Internet of Things and data prediction for elastic management of human resources in smart hospitals
Fischer, G.
Vol. 87 , pp. 0-0
111 views DOI
2020
Using fuzzy measures for modeling human perception of uncertainty in artificial intelligence
Yager, R.
Vol. 87 , pp. 0-0
110 views DOI
Journament Score
38.5/100 · Poor
Ranked #13,261 of 19,868 scored
(33,995 journals indexed)
Platform Statistics
AI Quality Analysis
Separate paid analysis — does not affect ranking.
Journament

Overall Quality Score

38.5/100

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

30.1/100

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

32.0/100

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

73.0/100

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.