Journal profile · Computer Science-Computer Vision and Pattern Recognition

APL Machine Learning

ISSN 2770-9019 · AIP Publishing LLC · United States

APL Machine Learning: fully open access; APC about USD 2,750; review about 20 weeks (community reports); 77 articles in 2025; indexed in ESCI and Scopus.

Impact factor—No published value
CAS zone—Not in the CAS Journal Ranking
Review timeabout 20 weeksCommunity average; too few article dates (2)
APCUSD 2,750Fully open access
Acceptance—No reports yet
Articles per year772025 · OpenAlex count

Scope

Aims, scope and focus

APL Machine Learning is published by AIP Publishing LLC. By OpenAlex counts of its recent articles, its largest topics are Machine Learning in Materials Science, Advanced Memory and Neural Computing and Neural Networks and Reservoir Computing, together about 46.1% of its articles. Its main subfields are Electrical and Electronic Engineering. (generated from OpenAlex topic counts and CAS ranking data)

APL Machine Learning features vibrant and timely research for two communities: researchers who use machine learning (ML) and data-driven approaches for physical sciences and related disciplines, and researchers from these disciplines who work on novel concepts, including materials, devices, systems, and algorithms relevant for the development of better ML and AI technologies.

From the journal's Aims & Scope

Research area (LetPub): Computer Science-Computer Vision and Pattern Recognition

Editor-in-chief Adnan MehonicPublisher website

Main research topics OpenAlex counts of recent articles; shares are approximate

  1. Machine Learning in Materials ScienceMaterials Science23%
  2. Advanced Memory and Neural ComputingEngineering13.5%
  3. Neural Networks and Reservoir ComputingComputer Science9.7%
  4. Ferroelectric and Negative Capacitance DevicesEngineering7.5%
  5. Model Reduction and Neural NetworksPhysics and Astronomy5.6%
  6. Computational Drug Discovery MethodsComputer Science4.1%
  7. Neural dynamics and brain functionNeuroscience3.4%
  8. Neural Networks and ApplicationsComputer Science3.1%

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)Not covered

Not covered by this edition.

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

Indexing the journal's website claims

PubMedPublisher website

Other: Google Scholar

As the journal's website lists them, not checked against each database; for Web of Science editions the records above apply.

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

CiteScore 2026-06
6.5LetPub ·
SJR 2026-06
1.02LetPub ·
SNIP 2026-06
1.29LetPub ·
h-index
20OpenAlex ·
i10-index
49OpenAlex ·
2-year mean citedness
4.66OpenAlex ·
Self-citation rate
2.4%LetPub ·
Share of gold OA articles
99.55%LetPub ·

Volume

Articles per year
74LetPub ·

Articles by year OpenAlex count · 279 in total · the current year is incomplete

YearArticlesOpen accessCitations
2026474714
20257777219
20248181723
20237474965

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 2 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".

Other sources

Average review time (community reports)
about 20 weeksLetPub ·
Submission to publication (journal-reported)
about 20 weeksDOAJ ·
Peer review
Unspecified 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).

SourceAPCFee waiverLicenseObserved
DOAJUSD 2,750YesCC BY
LetPubUSD 2,750Yes—

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 prepare3 items from the author guidelines
First submission
Free format: the journal's layout is not required
Highlights
Optional
Cover letter
Optional
Publisher website · model-extracted, each line checked against the text
Article types accepted7, with length limits
  1. brief communication) Manuscript Length for POP Letters and Brief Communications Manuscripts for Letters and Brief Communications in Physics of Plasmas should not exceed 3500 words…main text ≤ 3,500 words
  2. letterLetters should contain no more than 3500 words Comments and Responses should contain no more than 1000 words Please note that the abstract, title, author list, …main text ≤ 3,500 words · abstract ≤ 100 words
  3. original research articleWe recommend the following page limits: Original Research Articles report on original and novel research relating to fluid mechanics and should not exceed 15,00…main text ≤ 15,000 words
  4. perspectivee title and references. For guidance on Perspectives, the main text should contain less than 5500 words. Reviews and Roadmaps are recommended to be up to 8000 w…main text ≤ 5,500 words
  5. regular articleity. As a guideline, the main text of a regular article should contain approximately 3500 words, excluding the title and references. Perspectives, Researchmain text ≤ 3,500 words
  6. reviewxt should contain less than 5500 words. Reviews and Roadmaps are recommended to be up to 8000 words. In these papers, please insert section headings to structumain text ≤ 8,000 words
  7. short communicationished along with the final manuscript.) Short Communications Since Short Communications have a length limit of 4 journal pages, manuscripts should not exceed 35…main text ≤ 3,500 words
Publisher website
Policy excerpts from the journal's websiteData availability
Data availability Preparing Your Data Availability Statement

Data Sharing Policy requires all datasets supporting the conclusion of a paper to be available to readers. Model summary

In accordance with our Data Sharing Policy, all datasets supporting the conclusion of your paper need to be available to readers. The data should include the minimal dataset needed to interpret, replicate, and build upon your findings. You can either deposit your datasets in a publicly available repository (where available or appropriate) or you can present them in the manuscript. To inform reader…

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
AIP Publishing LLC
Country or region
United States
Language
English
ISSN
2770-9019
Latest issue on the website
Volume 4, Issue 2 (June 2026)
Official links

FAQ

Frequently asked questions about APL Machine Learning

How long does peer review take at APL Machine Learning?

Authors report an average review time of about 20 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 APL Machine Learning?

According to the journal's author guidelines: First submission: Free format: the journal's layout is not required; Highlights: Optional; Cover letter: 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.

Which databases index APL Machine Learning?

According to LetPub and DOAJ records, APL Machine Learning is indexed in ESCI, Scopus and DOAJ. The journal's website also lists PubMed; that list has not been checked against each database.

Is APL Machine Learning open access, and what is the APC?

APL Machine Learning is a fully open-access journal. APC about USD 2,750.

Sources and updates

The facts on this page come from LetPub, DOAJ, OpenAlex, Publisher website; 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 2026-08-25). Last updated: .