Journal profile · Multiple

IEEE Transactions on Machine Learning in Communications and Networking

ISSN 2831-316X

IEEE Transactions on Machine Learning in Communications and Networking: impact factor 4.9 (journal website); fully open access; APC about USD 2,160; 83 articles in 2025; indexed in ESCI.

Impact factor4.9From the journal's website, latest value
CAS zone—Not in the CAS Journal Ranking
Review time—No reports yet
APCUSD 2,160Fully open access
Acceptance—No reports yet
Articles per year832025 · OpenAlex count

Scope

Aims, scope and focus

By OpenAlex counts of its recent articles, IEEE Transactions on Machine Learning in Communications and Networking's largest topics are Advanced MIMO Systems Optimization, Privacy-Preserving Technologies in Data and Network Security and Intrusion Detection, together about 28.8% of its articles. Its main subfields are Electrical and Electronic Engineering and Computer Networks and Communications. (generated from OpenAlex topic counts and CAS ranking data)

The IEEE Transactions on Machine Learning in Communications and Networking publishes high-quality manuscripts on advances in machine learning methods for and applications to communications and networking. Furthermore, articles developing novel communication and networking techniques for distributed machine learning algorithms are of interest. Both theoretical contributions (including new theories, techniques, concepts, algorithms, and analyses) and practical contributions (including system experiments, prototypes, and new applications) are encouraged.

From the journal's Aims & Scope

Research area (LetPub): Multiple

Editor-in-chief Walid SaadPublisher website

Editorial board by country: 6 in mainland China (about 40%); most named Mainland China 6, Hong Kong, China 3, United States 1, South Korea 1, France 1 (15 members with a country) Editorial board ↗Publisher website ·

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

  1. Advanced MIMO Systems OptimizationEngineering13.5%
  2. Privacy-Preserving Technologies in DataComputer Science8.8%
  3. Network Security and Intrusion DetectionComputer Science6.5%
  4. Software-Defined Networks and 5GComputer Science6.3%
  5. Wireless Signal Modulation ClassificationComputer Science6.3%
  6. Millimeter-Wave Propagation and ModelingEngineering5.2%
  7. Advanced Wireless Communication TechnologiesEngineering5.2%
  8. UAV Applications and OptimizationEngineering4.3%

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

ESCIDOAJLetPub

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)
4.9Publisher website ·
CiteScore (publisher)
5.9Publisher website ·
h-index
26OpenAlex ·
i10-index
84OpenAlex ·
2-year mean citedness
6.6OpenAlex ·
Self-citation rate
2%LetPub ·
Share of gold OA articles
100%LetPub ·

Volume

Articles per year
75LetPub ·

Articles by year OpenAlex count · 306 in total · the current year is incomplete

YearArticlesOpen accessCitations
2026757543
20258383516
20241051051,178
20234040777
2022225

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

Submission to publication (journal-reported)
about 32 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).

SourceAPCFee waiverLicenseObserved
DOAJUSD 2,160YesCC BY, CC BY-NC-ND
OpenAlexUSD 2,075——
Publisher websiteUSD 2,160——

Other charges and waivers (author guidelines)

Discounts
USD 5

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)

Policy excerpts from the journal's websiteAI use, Authorship, License & copyright, Open access, Peer review, Plagiarism
AI use Artificial Intelligence Policy

The policy for the use of artificial intelligence (AI) by authors and reviewers can be found in section 8.2.1 of the IEEE Publication Services and Products Board Operation Manual, subsections B article 10 and subsection C article 6, respectively.

Source ↗Publisher website ·
Authorship

ORCID required for all authors Model summary

All IEEE journals require an Open Researcher and Contributor ID (ORCID) for all authors. ORCID is a persistent unique identifier for researchers and functions similarly to an article’s Digital Object Identifier (DOI). You will need a registered ORCID to submit an article or review a proof in this journal.

Source ↗Publisher website ·
License & copyright

CC BY 4.0 license; author retains copyright Model summary

All articles are published under a CC BY 4.0 license, and the author retains copyright.

Source ↗Publisher website ·
Open access Open Access

This journal is 100% open access, which means that all content is freely available without charge to users or their institutions. All articles are published under a CC BY 4.0 license, and the author retains copyright. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles, or use them for any other lawful purpose, as long as proper attributi…

Source ↗Publisher website ·
Peer review

Single-anonymous peer review with minimum two independent reviewers Model summary

Each published article was reviewed by a minimum of two independent reviewers using a single-anonymous peer review process, where the identities of the reviewers are not known to the authors, but the reviewers know the identities of the authors.

Source ↗Publisher website ·
Plagiarism Policy on Plagiarism

Plagiarism screening before acceptance Model summary

All authors must comply with the IEEE Policy on Plagiarism and the IEEE Electronic Posting Policy. In addition to the IEEE policies, pre-publication author misconduct, such as double-submission or plagiarism, will result in immediate rejection of the manuscript(s), and a minimum 6 month ban on submissions to ComSoc publications by the author(s).

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

ISSN
2831-316X
Official links

FAQ

Frequently asked questions about IEEE Transactions on Machine Learning in Communications and Networking

What is the impact factor of IEEE Transactions on Machine Learning in Communications and Networking?

The journal's website gives an impact factor of 4.9; this is the journal's own figure, as LetPub lists none for it; h-index 26.

Where are the editorial board members of IEEE Transactions on Machine Learning in Communications and Networking based?

Of the 15 board members whose country the journal's board page names, 6 (about 40%) are in mainland China; the countries named most often are Mainland China (6), Hong Kong, China (3) and United States (1). Counted from the institutions listed on the board page; for reference only.

Which databases index IEEE Transactions on Machine Learning in Communications and Networking?

According to LetPub and DOAJ records, IEEE Transactions on Machine Learning in Communications and Networking is indexed in ESCI and DOAJ.

Is IEEE Transactions on Machine Learning in Communications and Networking open access, and what is the APC?

IEEE Transactions on Machine Learning in Communications and Networking is a fully open-access journal. APC about USD 2,160.

Sources and updates

The facts on this page come from LetPub, OpenAlex, DOAJ, 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 2026-08-30). Last updated: .