Journal profile · Computer Science, Artificial Intelligence
Neural Processing Letters
ISSN 1370-4621 · eISSN 1573-773X · Springer US · BELGIUM · Bimonthly · Founded 1994
Neural Processing Letters: CAS Zone 4 · Computer Science (2025 upgraded edition); impact factor 2.77; fully open access; APC about USD 3,090; median 233 days to acceptance (37 articles, last 24 months); community-reported acceptance: easy; 103 articles in 2025; indexed in SCIE and Scopus.
Scope
Aims, scope and focus
Neural Processing Letters is published by Springer US and is in Zone 4 of Computer Science in the CAS Journal Ranking (2025 upgraded edition). By OpenAlex counts of its recent articles, its largest topics are Neural Networks and Applications, Neural Networks Stability and Synchronization and Face and Expression Recognition, together about 38.1% of its articles. Its main subfields are Artificial Intelligence and Computer Vision and Pattern Recognition. (generated from OpenAlex topic counts and CAS ranking data)
Neural Processing Letters publishes rapid communications on theoretical and methodological advances in neural networks and machine learning. The journal encourages contributions that advance the understanding, design, and application of neural computational models and learning systems. Areas of interest include deep learning and modern neural architectures (including transformer and foundation models), supervised, unsupervised and self-supervised learning, reinforcement and continual learning, generative modeling, optimization, interpretability, neuromorphic and biologically inspired approaches, and hybrid neural-symbolic methods. Applications span computer vision, speech and language processing, signal and sensor data analysis, robotics and autonomous systems, biomedical data analytics, financial decision systems, and large-scale data processing. The journal prioritizes concise submissions reporting novel concepts, algorithms, theoretical insights within the broader field of neural computation and machine learning. It also welcomes application papers that demonstrate a broad range of methodological or algorithmic innovation. Specific areas of interest include (but are not limited to): Neural networks, Machine Learning, Deep learning, Transformer architectures, Foundation models, Generative models, Diffusion models, Reinforcement learning, Self-supervised learning, Continual learning, Neural optimization, Neuromorphic computing, Computational neuroscience, Neuro-symbolic AI, Explainable AI, Responsible and trustworthy AI, Computer vision, Natural language processing, Signal and sensor processing, Robotics and autonomous systems, Biomedical data analytics, Large-scale learning, Big data analytics.
From the journal's Aims & Scope
Research area (LetPub): Computer Science, Artificial Intelligence
Editor-in-chief Mohamad HassounPublisher website
Editorial board by country: 51 in mainland China (about 39%); most named Mainland China 51, United States 29, Italy 8, Spain 6, India 5 (132 members with a country) Editorial board ↗Publisher website ·
Main research topics OpenAlex counts of recent articles; shares are approximate
- Neural Networks and ApplicationsComputer Science18.7%
- Neural Networks Stability and SynchronizationComputer Science11.4%
- Face and Expression RecognitionComputer Science8%
- Advanced Memory and Neural ComputingEngineering5.4%
- stochastic dynamics and bifurcationPhysics and Astronomy4.8%
- Machine Learning and ELMComputer Science4.5%
- Advanced Neural Network ApplicationsComputer Science4%
- Domain Adaptation and Few-Shot LearningComputer Science3.8%
Rankings & indexing
CAS ranking and database indexing
CAS Journal Ranking
CAS Journal Ranking, upgraded edition (March 2025)Computer Science Zone 4
| Level | Category | Zone |
|---|---|---|
| Major | Computer Science | Zone 4 |
| Minor | Computer Science, Artificial Intelligence | Zone 4 |
Top journal: noReview journal: no
CAS Xinrui Journal Ranking (March 2026)Computer Science Zone 4
| Level | Category | Zone |
|---|---|---|
| Major | Computer Science | Zone 4 |
| Minor | Computer Science, Artificial Intelligence | Zone 4 |
Top journal: noReview journal: not marked
CAS Journal Ranking, previous upgraded edition (December 2023)Computer Science Zone 4
| Level | Category | Zone |
|---|---|---|
| Major | Computer Science | Zone 4 |
| Minor | Computer Science, Artificial Intelligence | Zone 4 |
Top journal: noReview journal: no
Database indexing
SCIEScopusLetPub
International journal early-warning lists: not listed in any editionLetPub
Indexing the journal's website claims
EI CompendexINSPECDBLPPublisher website
Other: Google Scholar, EBSCO, ProQuest, Dimensions, CNKI, Baidu, ACM Digital Library, Naver, OCLC, Portico, CLOCKSS
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
- Impact factor
- 2.77LetPub ·
- Impact factor (publisher) 2025
- 2.8Publisher website ·
- 5-year impact factor (publisher) 2025
- 2.7Publisher website ·
- CiteScore 2026-06
- 8.1LetPub ·
- SJR 2026-06
- 0.67LetPub ·
- SNIP 2026-06
- 0.96LetPub ·
- h-index
- 45LetPub ·
- h-index
- 86OpenAlex ·
- i10-index
- 1,513OpenAlex ·
- 2-year mean citedness
- 5.74OpenAlex ·
- Self-citation rate
- 3.6%LetPub ·
- Share of gold OA articles
- 53.72%LetPub ·
Volume
- Articles per year
- 101LetPub ·
- Downloads per year (publisher) 2025
- 513,100Publisher website ·
Articles by year OpenAlex count · 3,356 in total · the current year is incomplete
| Year | Articles | Open access | Citations |
|---|---|---|---|
| 2026 | 59 | 59 | 26 |
| 2025 | 103 | 103 | 479 |
| 2024 | 253 | 252 | 1,878 |
| 2023 | 317 | 28 | 2,919 |
| 2022 | 440 | 54 | 6,102 |
| 2021 | 287 | 43 | 5,350 |
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 Crossref · to
233 daysMedian, submission to acceptance · P25–P75 162 days – 392 days
- Acceptance to online
- median 26 days (93 articles)
- Submission to online
- median 259 days
- Sample
- 37 articles with submission and acceptance dates (179 in the window); the latest was accepted on
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 3 monthsLetPub ·
- Average acceptance (community reports)
- EasyLetPub ·
- Submission to first decision
- 14 daysPublisher website ·
- Peer review
- Single anonymous peer review, Double anonymous peer reviewPublisher website
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 accessLetPub
Every article is open access; authors usually pay an article processing charge (APC).
| Source | APC | Fee waiver | License | Observed |
|---|---|---|---|---|
| OpenAlex | USD 3,090 / EUR 2,490 / GBP 2,190 | — | — | |
| Publisher website | Yes, amount not published | — | — |
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 prepare4 items from the author guidelines
- Abstract
- 150–250 words
- Keywords
- ≥ 4
- Reference style
- Numbered, in order of citation
- Suggested reviewers
- Optional
Article types accepted1
- editorialSingle-blind peer review This journal follows a single-blind reviewing procedure. Additional Information for Peer Review Process Neural Processing Letters follo…Length not stated
Policy excerpts from the journal's websiteAI use, Authorship, Conflicts of interest, Data availability, Publication ethics, License & copyright, Open access, Peer review
- AI use Generative AI Images
LLMs do not satisfy authorship criteria; use of LLMs must be documented in Methods Model summary
Please check Springer’s policy on generative AI images and make sure your work adheres to the principles described therein. Back to top
Source ↗Publisher website ·- Authorship Authorship principles
No changes to authorship after submission Model summary
These guidelines describe authorship principles and good authorship practices to which prospective authors should adhere to. Authorship clarified The Journal and Publisher assume all authors agreed with the content and that all gave explicit consent to submit and that they obtained consent from the responsible authorities at the institute/organization where the work has been carried out, before th…
Source ↗Publisher website ·- Conflicts of interest Disclosures and declarations
All authors are requested to include information regarding sources of funding, financial or non-financial interests, study-specific approval by the appropriate ethics committee for research involving humans and/or animals, informed consent if the research involved human participants, and a statement on welfare of animals if the research involved animals (as appropriate). The decision whether such …
Source ↗Publisher website ·- Data availability Data availability statements
All original research must include a data availability statement. This statement should explain how to access data supporting the results and analysis in the article, including links/citations to publicly archived datasets analysed or generated during the study. Please see our full policy here. If it is not possible to share research data publicly, for instance when individual privacy could be com…
Source ↗Publisher website ·- Publication ethics Compliance with Ethical Standards
To ensure objectivity and transparency in research and to ensure that accepted principles of ethical and professional conduct have been followed, authors should include information regarding sources of funding, potential conflicts of interest (financial or non-financial), informed consent if the research involved human participants, and a statement on welfare of animals if the research involved an…
Source ↗Publisher website ·- License & copyright Copyright
Articles in Springer Nature open access journals do not require transfer of copyright as the copyright remains with the author. Details of the OA licences offered to authors can be found on the individual journal website, in the journal's How to publish with us guide. Back to top
Source ↗Publisher website ·- Open access Open access publishing
Copyright remains with the author Model summary
To find out more about publishing your work Open Access in Neural Processing Letters, including information on fees, funding and licences, visit our Open access publishing page. Back to top
Source ↗Publisher website ·- Peer review Additional Information for Peer Review Process
Single-blind peer review Model summary
Neural Processing Letters follows a single-blind peer review process. Although the Editors of Neural Processing Letters strive for the most timely and efficient process for peer review, our over-arching goal is to provide substantive reviews to our authors along with constructive suggestions for improvements and clarifications when needed. Manuscripts submitted to Neural Processing Letters are usu…
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
- Springer US
- Country or region
- BELGIUM
- Language
- English
- Frequency
- Bimonthly
- Founded
- 1994
- ISSN
- 1370-4621
- Electronic ISSN
- 1573-773X
- Official links
- Journal homepage ↗OpenAlex
- Submission system ↗LetPub
- Author guidelines ↗LetPub
- Special issues ↗Publisher website
FAQ
Frequently asked questions about Neural Processing Letters
What CAS zone is Neural Processing Letters in?
In the 2025 upgraded edition of the CAS Journal Ranking, Neural Processing Letters is in Zone 4 of Computer Science, and in Zone 4 of the minor category Computer Science, Artificial Intelligence. In the 2026 Xinrui edition it is in Zone 4 of Computer Science. Zones from different editions, and from major and minor categories, are not interchangeable.
What is the impact factor of Neural Processing Letters?
The latest impact factor listed by LetPub is 2.77; CiteScore 8.1, h-index 86.
How long does peer review take at Neural Processing Letters?
Based on the dates recorded on 37 articles published between October 2024 and October 2026 (the last 24 months), the median time from submission to acceptance is 233 days (interquartile range 162–392 days); authors report an average review time of about 3 months; the community-reported acceptance is “Easy”. 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 Neural Processing Letters?
According to the journal's author guidelines: Abstract: 150–250 words; Keywords: ≥ 4; Reference style: Numbered, in order of citation; Suggested reviewers: 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 Neural Processing Letters based?
Of the 132 board members whose country the journal's board page names, 51 (about 39%) are in mainland China; the countries named most often are Mainland China (51), United States (29) and Italy (8). Counted from the institutions listed on the board page; for reference only.
Which databases index Neural Processing Letters?
According to LetPub and DOAJ records, Neural Processing Letters is indexed in SCIE and Scopus. The journal's website also lists EI Compendex, INSPEC and DBLP; that list has not been checked against each database.
Is Neural Processing Letters open access, and what is the APC?
Neural Processing Letters is a fully open-access journal. APC about USD 3,090.
Sources and updates
The facts on this page come from LetPub, 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: .