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IEEE Transactions on Neural Networks and Learning Systems

ISSN 2162-2388· EN

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42.3 / 100
Journament Score
Below Average
Ranked #2,372 of 29,324 scored journals (33,995 indexed)
56 Articles
Scores higher than 91.9% 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 IEEE Transactions on Neural Networks and Learning Systems
Abbreviated Name ieee trans neural netw learn syst
ISSN 2162-2388
URL http://cis.ieee.org/ieee-transactions-on-neural-networks-and-learning-systems.html

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 30.6 30.4
Accessibility 20.0 19.1
Timeliness 0.0 9.2
Diversity 76.2 25.8
Innovation 70.0 27.4
Community Impact 12.1 7.8
Content Distribution 75.6 88.6
Content Quality — 55.5
Ethics & Transparency — 40.2
Editorial Standards — 33.4
Publication Regularity — 53.2
Geographic Reach — 30.8

Publications Per Year

Articles (56)

2019
Energy Disaggregation via Deep Temporal Dictionary Learning.
Khodayar, Mahdi;Wang, Jianhui;Wang, Zhaoyu;
628 views DOI Abstract
2019
Deep Learning Method Based on Gated Recurrent Unit and Variational Mode Decomposition for Short-Term Wind Power Interval Prediction.
Wang, Ruoheng;Li, Chaoshun;Fu, Wenlong;Tang, Geng;
473 views DOI Abstract
2020
Deep Learning for Multigrade Brain Tumor Classification in Smart Healthcare Systems: A Prospective Survey
Khan Muhammad,Salman Khan,Javier Del Ser,Victor Hugo C. De Albuquerque;Khan Muhammad;Salman Khan;Javier Del Ser;Victor Hugo C. De Albuquerque;
, No. 99 , pp. 1-16
464 views DOI
2019
Neural Cryptography Based on Complex-Valued Neural Network.
Dong, Tao;Huang, Tingwen;
459 views DOI Abstract
2019
A Survey of Computational Intelligence Techniques for Wind Power Uncertainty Quantification in Smart Grids.
Quan, Hao;Khosravi, Abbas;Yang, Dazhi;Srinivasan, Dipti;
450 views DOI Abstract
2018
An Adaptive Self-Stabilizing Algorithm for Minor Generalized Eigenvector Extraction and Its Convergence Analysis.
Yingbin, Gao;Xiangyu, Kong;Zhengxin, Zhang;Li'an, Hou;
Vol. 29 , No. 10 , pp. 4869-4881
432 views DOI Abstract
2019
Attack Detection and Approximation in Nonlinear Networked Control Systems Using Neural Networks.
Niu, Haifeng;Bhowmick, Chandreyee;Jagannathan, Sarangapani;
426 views DOI Abstract
2020
Stroke Sequence-Dependent Deep Convolutional Neural Network for Online Handwritten Chinese Character Recognition.
Liu, Xin;Hu, Baotian;Chen, Qingcai;Wu, Xiangping;You, Jinghan;
423 views DOI Abstract
2016
Brain Dynamics in Predicting Driving Fatigue Using a Recurrent Self-Evolving Fuzzy Neural Network.
Liu, Yu-Ting;Lin, Yang-Yin;Wu, Shang-Lin;Chuang, Chun-Hsiang;Lin, Chin-Teng;
Vol. 27 , No. 2 , pp. 347-60
418 views DOI Abstract
2018
Frame-Based Variational Bayesian Learning for Independent or Dependent Source Separation.
Liu, Yuhang;Dong, Wenyong;Zhou, Mengchu;
Vol. 29 , No. 10 , pp. 4983-4996
417 views DOI Abstract
2021
Deep Learning for Multigrade Brain Tumor Classification in Smart Healthcare Systems: A Prospective Survey
Muhammad K;Khan S;Ser JD;Albuquerque VHC;;
Vol. 32 , No. 2 , pp. -
241 views Abstract
2021
EDropout: Energy-Based Dropout and Pruning of Deep Neural Networks.
Salehinejad, Hojjat;Valaee, Shahrokh;
Vol. PP
277 views DOI Abstract
2020
Decentralized Filtering Adaptive Neural Network Control for Uncertain Switched Interconnected Nonlinear Systems.
Ma, Tong;
Vol. PP
317 views DOI Abstract
2020
Concept Factorization With Local Centroids.
Chen, Mulin;Li, Xuelong;
Vol. PP
272 views DOI Abstract
2020
Clustering Analysis via Deep Generative Models With Mixture Models.
Yang, Lin;Fan, Wentao;Bouguila, Nizar;
Vol. PP
300 views DOI Abstract
2020
Deep Learning for Multigrade Brain Tumor Classification in Smart Healthcare Systems: A Prospective Survey
Khan Muhammad,Salman Khan,Javier Del Ser,Victor Hugo C. De Albuquerque;Khan Muhammad;Salman Khan;Javier Del Ser;Victor Hugo C. De Albuquerque;
, No. 99 , pp. 1-16
464 views DOI
2020
A Parallel Framework of Adaptive Dynamic Programming Algorithm With Off-Policy Learning.
Sun, Changyin;Li, Xiaofeng;Sun, Yuewen;
Vol. PP
350 views DOI Abstract
2020
Adversarial Learning With Multi-Modal Attention for Visual Question Answering.
Liu, Yun;Zhang, Xiaoming;Huang, Feiran;Cheng, Lei;Li, Zhoujun;
Vol. PP
349 views DOI Abstract
2020
Statistical Loss and Analysis for Deep Learning in Hyperspectral Image Classification.
Gong, Zhiqiang;Zhong, Ping;Hu, Weidong;
264 views DOI Abstract
2020
MASK-RL: Multiagent Video Object Segmentation Framework Through Reinforcement Learning.
Vecchio, Giuseppe;Palazzo, Simone;Giordano, Daniela;Rundo, Francesco;Spampinato, Concetto;
393 views DOI Abstract
Journament Score
42.3/100 · Below Average
Ranked #2,372 of 29,324 scored
(33,995 journals indexed)
Platform Statistics
AI Quality Analysis
Separate paid analysis — does not affect ranking.
Journament

Overall Quality Score

42.3/100

Tier: Below Average

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

30.6/100

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

20.0/100

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

76.2/100

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

70.0/100

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

12.1/100

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

0.0/100

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

75.6/100

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.