Journal profile · Multiple
Machine Learning with Applications
ISSN 2666-8270 · Elsevier · United Kingdom
Machine Learning with Applications: CAS Zone 2 · Computer Science (2026 Xinrui edition); impact factor 6.1 (journal website); fully open access; APC about USD 2,460; review about 89 days (submission to acceptance, publisher); 217 articles in 2025; indexed in ESCI and Scopus.
Scope
Aims, scope and focus
Machine Learning with Applications is published by Elsevier and is classed under Computer Science in the CAS Journal Ranking. By OpenAlex counts of its recent articles, its largest topics are Imbalanced Data Classification Techniques, Anomaly Detection Techniques and Applications and Topic Modeling, together about 21.8% of its articles. Its main subfields are Artificial Intelligence. (generated from OpenAlex topic counts and CAS ranking data)
Machine Learning with Applications (MLWA) is a peer reviewed, open access journal focused on research related to machine learning. The journal encompasses all aspects of research and development in ML, including but not limited to data mining, computer vision, natural language processing (NLP), intelligent systems, neural networks, AI-based software engineering, bioinformatics and their applications in the areas of engineering, medicine, biology, education, business and social sciences. It covers a broad spectrum of applications in the community, from industry, government, and academia.The journal publishes research results in addition to new approaches to ML, with a focus on value and effectiveness. Application papers should demonstrate how ML can be used to solve important practical problems. Research methodology papers should demonstrate an improvement to the way in which existing ML research is conducted.Submissions must be novel, technically sound, and clearly presented. MLWA accepts both regular papers and technical notes (technical notes are limited to a maximum of 10 pages). In addition, survey articles and discussion papers on ML are welcome.Submissions meeting journal criteria will undergo a single-blind review process, utilizing a minimum of two (2) external referees. Our dedicated editorial team, together with active researchers from all areas of ML, ensure that papers move through the evaluation and review as fast as possible without compromising on the quality of the process.The journal audience comprises academia, industry, and practitioners. Authors are strongly encouraged to make their datasets publicly accessible via a repository of their choosing. Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our Support Center.We invite you to convert your open source software into an additional journal publication in Software Impacts, a multi-disciplinary open access journal. Software Impacts provides a scholarly reference to software that has been used to address a research challenge. The journal disseminates impactful and re-usable scientific software through Original Software Publications which describe the application of the software to research and the published outputs.For more information contact us at: software.impacts@elsevier.com
From the journal's Aims & Scope
Research area (LetPub): Multiple
Editorial board by country: 7 in mainland China (about 11%); most named United States 12, Italy 9, Mainland China 7, Spain 4, United Kingdom 3 (61 members with a country) Editorial board ↗Publisher website ·
Main research topics OpenAlex counts of recent articles; shares are approximate
- Imbalanced Data Classification TechniquesComputer Science7.7%
- Anomaly Detection Techniques and ApplicationsComputer Science7.6%
- Topic ModelingComputer Science6.5%
- Stock Market Forecasting MethodsDecision Sciences6.4%
- Advanced Neural Network ApplicationsComputer Science5.8%
- Machine Learning and Data ClassificationComputer Science5.2%
- Explainable Artificial Intelligence (XAI)Computer Science4.9%
- Sentiment Analysis and Opinion MiningComputer Science4.7%
Rankings & indexing
CAS ranking and database indexing
CAS Journal Ranking
CAS Journal Ranking, upgraded edition (March 2025)Not covered
Not covered by this edition.
CAS Xinrui Journal Ranking (March 2026)Computer Science Zone 2
| Level | Category | Zone |
|---|---|---|
| Major | Computer Science | Zone 2 |
| Minor | Computer Science, Artificial Intelligence | Zone 3 |
| Minor | Computer Science, Information Systems | Zone 3 |
| Minor | Computer Science, Interdisciplinary Applications | Zone 3 |
Top journal: noReview journal: not marked
CAS Journal Ranking, previous upgraded edition (December 2023)Not covered
Not covered by this edition.
Database indexing
ESCIScopusDOAJLetPub
International journal early-warning lists: not listed in any editionLetPub
Editions, and major and minor categories, are shown separately and never merged into one zone; check which edition your institution uses before you submit or report.
Metrics
Impact metrics and publication volume
Impact
- Impact factor (publisher)
- 6.1Publisher website ·
- CiteScore 2026-06
- 12.6LetPub ·
- CiteScore (publisher)
- 12.6Publisher website ·
- SJR 2026-06
- 1.23LetPub ·
- SNIP 2026-06
- 2.32LetPub ·
- h-index
- 59OpenAlex ·
- i10-index
- 281OpenAlex ·
- 2-year mean citedness
- 5.12OpenAlex ·
- Self-citation rate
- 3.3%LetPub ·
- Share of gold OA articles
- 100%LetPub ·
Volume
- Articles per year
- 201LetPub ·
Articles by year OpenAlex count · 839 in total · the current year is incomplete
| Year | Articles | Open access | Citations |
|---|---|---|---|
| 2026 | 195 | 195 | 61 |
| 2025 | 217 | 217 | 761 |
| 2024 | 89 | 89 | 1,742 |
| 2023 | 78 | 78 | 1,417 |
| 2022 | 120 | 120 | 3,158 |
| 2021 | 122 | 122 | 6,530 |
Sources count differently and were observed at different times, so each source's own value is kept; "publisher" marks figures from the journal's website.
Review & acceptance
Review time and acceptance
Review time from article dates manuscript dates registered with PubMed · to
Too few articlesOnly 1 articles from the last 24 months carry both submission and acceptance dates, too few for a median
Only articles that were accepted and published are counted, not the time spent on rejected manuscripts, so this usually runs longer than a publisher's "time to first decision".
Figures by source
- Average review time (community reports)
- about 14 weeksLetPub ·
- Submission to first decision
- 1 daysPublisher website ·
- First decision after review
- 38 daysPublisher website ·
- Submission to acceptance
- 89 daysPublisher website ·
- Acceptance to publication
- 7 daysPublisher website ·
- Submission to publication (journal-reported)
- about 14 weeksDOAJ ·
- Peer review
- Single anonymous peer reviewDOAJ
Community reports come from authors' own submissions (confidence 0.5) and are not a promise from the journal; for publisher figures, the journal's own definitions apply.
Fees & open access
APC and open-access policy
Fully open accessDOAJ
Every article is open access; authors usually pay an article processing charge (APC).
| Source | APC | Fee waiver | License | Observed |
|---|---|---|---|---|
| DOAJ | USD 2,460 | Yes | CC BY, CC BY-NC, CC BY-NC-ND | |
| OpenAlex | USD 2,340 / EUR 2,190 / GBP 1,870 / JPY 290,230 | — | — | |
| LetPub | USD 2,200 | Yes | — | |
| Publisher website | USD 3,030 | — | — |
The journal's website is authoritative for fees; sources were observed at different times and each keeps its own value, without averaging.
Submission
Article types and submission policies (journal website)
What to prepare6 items from the author guidelines
- Abstract
- ≤ 250 words
- Keywords
- 1–7
- Reference style
- APA
- Templates
- LaTeX
- Highlights
- Optional
- Graphical abstract
- Optional
Article types accepted6
- discussion papersIn addition, survey articles and discussion papers on ML are welcome.Length not stated
- regular paperMACHINE LEARNING WITH APPLICATIONS accepts both regular papers and technical notes. In addition, survey articles and discussion papers on ML are welcome. We inv…Length not stated
- regular papersMACHINE LEARNING WITH APPLICATIONS accepts both regular papers and technical notes.Length not stated
- surveyMACHINE LEARNING WITH APPLICATIONS accepts both regular papers and technical notes. In addition, survey articles and discussion papers on ML are welcome. We inv…Length not stated
- survey articlesIn addition, survey articles and discussion papers on ML are welcome.Length not stated
- technical noteMACHINE LEARNING WITH APPLICATIONS accepts both regular papers and technical notes. In addition, survey articles and discussion papers on ML are welcome. We inv…Length not stated
Policy excerpts from the journal's websiteAI use, Authorship, Conflicts of interest, Publication ethics, License & copyright, Open access, Peer review, Preprints
- AI use Declaration of generative AI use
Authors must declare the use of generative AI tools in the manuscript preparation process upon submission of the paper.Generative AI and AI-assisted technologies (“AI tools”) have been rapidly adopted in research and scholarly publishing, offering significant benefits while requiring clear standards for responsible and transparent use.Authors preparing a manuscript for this journal may use AI tool…
Source ↗Publisher website ·- Authorship Group authorship
Group authorship refers to the attribution of an article to a defined and named group of authors whose members have contributed to the work. Examples include research consortia, clinical trial groups, collaborative networks, task forces or working groups, expert panels or consensus groups, and participatory research groups. Group authorship must be declared on the title page at submission. When av…
Source ↗Publisher website ·- Conflicts of interest Declaration of competing interests
All authors must disclose any financial and personal relationships with other people or organizations that could inappropriately influence or bias their work. Examples of potential competing interests include:EmploymentConsultanciesStock ownershipHonorariaPaid expert testimonyPatent applications or registrationsGrants or any other fundingAffiliation with the journal as an Editor or Advisory Board …
Source ↗Publisher website ·- Publication ethics
Follow Elsevier's Publishing Ethics Policy Model summary
Authors must follow ethical guidelines stated in Elsevier's Publishing Ethics Policy.
Source ↗Publisher website ·- License & copyright License options
Authors will be offered open access user license options which will determine how you, and third parties, can reuse your open access article. We advise that you review these options and any funding body license requirements before selecting a license option.
Source ↗Publisher website ·- Open access Open access
We refer you to our open access information page to learn about open access options for this journal.
Source ↗Publisher website ·- Peer review Peer review
Single anonymized review process Model summary
This journal follows a single anonymized review process. Your submission will initially be assessed by our editors. If your submission is deemed suitable, it will typically be sent to be reviewed by a minimum of two reviewers for an independent expert assessment of the scientific quality. The decision as to whether your article is accepted or rejected for publication will be made by our editors.Re…
Source ↗Publisher website ·- Preprints Preprints
Preprint sharing allowed per Elsevier's article sharing policy Model summary
Preprint sharingAuthors may share preprints in line with Elsevier's article sharing policy. Sharing preprints, such as on a preprint server, will not count as prior publication.We advise you to read our policy on multiple, redundant or concurrent publication. In support of Open Science, this journal offers its authors a free preprint posting service on SSRN, Elsevier’s preprint and early research …
Source ↗Publisher website ·
Excerpts are quoted from the journal's website; "model summary" lines are written by Workers AI and checked against the text. The journal's website is authoritative.
Profile
Publication details and official links
- Publisher
- Elsevier
- Country or region
- United Kingdom
- Language
- English
- ISSN
- 2666-8270
- Official links
- Journal homepage ↗DOAJ
- Submission system ↗Publisher website
- Author guidelines ↗DOAJ
- Aims & Scope ↗DOAJ
- Special issues ↗Publisher website
- APC information ↗DOAJ
- Fee waivers ↗DOAJ
- Open access statement ↗DOAJ
- License & copyright ↗DOAJ
- Peer review process ↗DOAJ
- Editorial board ↗DOAJ
- Plagiarism policy ↗DOAJ
FAQ
Frequently asked questions about Machine Learning with Applications
What CAS zone is Machine Learning with Applications in?
In the 2026 Xinrui edition it is in Zone 2 of Computer Science. Zones from different editions, and from major and minor categories, are not interchangeable.
What is the impact factor of Machine Learning with Applications?
The journal's website gives an impact factor of 6.1; this is the journal's own figure, as LetPub lists none for it; CiteScore 12.6, h-index 59.
How long does peer review take at Machine Learning with Applications?
The publisher reports about 89 days (submission to acceptance); authors report an average review time of about 14 weeks. Article statistics cover accepted papers only, publisher figures follow the journal's own definitions, and community reports come from authors' own submissions; none is a promise from the journal.
What are the manuscript requirements of Machine Learning with Applications?
According to the journal's author guidelines: Abstract: ≤ 250 words; Keywords: 1–7; Reference style: APA; Templates: LaTeX; Highlights: Optional; Graphical abstract: Optional. A model extracted these from the author guidelines and each was checked against the text; check the latest version on the journal's website before submitting.
Where are the editorial board members of Machine Learning with Applications based?
Of the 61 board members whose country the journal's board page names, 7 (about 11%) are in mainland China; the countries named most often are United States (12), Italy (9) and Mainland China (7). Counted from the institutions listed on the board page; for reference only.
Which databases index Machine Learning with Applications?
According to LetPub and DOAJ records, Machine Learning with Applications is indexed in ESCI, Scopus and DOAJ.
Is Machine Learning with Applications open access, and what is the APC?
Machine Learning with Applications is a fully open-access journal. APC about USD 2,460.
Sources and updates
The facts on this page come from LetPub, Publisher website, OpenAlex, DOAJ; every figure is tagged with its source and the date it was observed, and conflicting values are kept per source. LetPub source page: view ↗ (archived 2026-08-26). Last updated: .