Journal profile · Computer Science-Computer Science (miscellaneous)

HumanCentric Intelligent Systems

ISSN 2667-1336 · Springer Nature · Netherlands

HumanCentric Intelligent Systems: diamond open access (no APC); no APC; median 119 days to acceptance (87 articles, last 24 months); 41 articles in 2025; indexed in Scopus.

Impact factor—No published value
CAS zone—Not in the CAS Journal Ranking
CiteScore quartileQ1Computer Science (miscellaneous) · rank 17/179 · 90th percentile
Review time119 daysMedian, submission to acceptance · 87 articles, last 24 months · Crossref
APCNo APCDiamond open access (no APC)
Acceptance—No reports yet
Articles per year412025 · OpenAlex count

Scope

Aims, scope and focus

HumanCentric Intelligent Systems is published by Springer Nature. By OpenAlex counts of its recent articles, its largest topics are Advanced Neural Network Applications, Artificial Intelligence in Healthcare and Topic Modeling, together about 26.2% of its articles. Its main subfields are Artificial Intelligence. (generated from OpenAlex topic counts and CAS ranking data)

Human-Centric Intelligent Systems is an international peer-reviewed journal which is dedicated to disseminating the latest research findings on all theoretical and practical applications in human-centric intelligent systems, and to providing cutting-edge theoretical and algorithmic insights in human-centric computing and analytics. In past decades, the trajectory of human daily activities among human beings and interacted with cyberspace has led to a large amount of human-centric digital information at an unprecedented scale, both in depth and in breadth. This presents urgent challenges in studying effective methodologies, techniques and technical tools for representing, modelling, analyzing, understanding and managing human behaviors, social and cultural phenomena and dynamics both in the physical and in the cyber world. Multiple categories of information sources, digital behavior trajectories within communities and advancements in behavioral and social computing have the potential to address these challenges such as information diffusion, community dynamics, trust, privacy and security issues, and to open up a new multidisciplinary research field of human-centric intelligence to better serve humanity. Hence this journal aims to advance the promising perspectives on fundamental theories, computational models and technological solutions and systems related to the emerging areas of human-centric intelligent systems. Human-Centric Intelligent Systems encourages research covering the current key research interests in managing the interactions between users, organizations, communities and computing systems, as well as modelling and governance of social and organizational concepts, e.g. community, trust, credibility and privacy. Topics covered include, but are not limited to, the following: Human-centered AI Human-centric data and management Information diffusion and modelling Diffusion source identification and network analysis Classification, ranking, summarizing and recommendation Social influence analysis Community detection and dynamics Disinformation and misinformation detection Network structure and community evolution analysis User modelling, personalization and recommendation Responsible AI, fairness and explainability Behavioral/choice modelling Behavioral dynamics and simulation User behavior and influence analysis Community/crowd behavioral analysis Event tracking and detection Trust computing and privacy preservation Social and ethical issue analys

From the journal's Aims & Scope

Research area (LetPub): Computer Science-Computer Science (miscellaneous)

Editor-in-chief Tianrui LiPublisher website

Editorial board by country: 14 in mainland China (about 45%); most named Mainland China 14, Australia 5, Hong Kong, China 3, Japan 2, France 2 (31 members with a country) Editorial board ↗Publisher website ·

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

  1. Advanced Neural Network ApplicationsComputer Science9.4%
  2. Artificial Intelligence in HealthcareHealth Professions8.9%
  3. Topic ModelingComputer Science7.9%
  4. Explainable Artificial Intelligence (XAI)Computer Science6.4%
  5. Ethics and Social Impacts of AISocial Sciences5.9%
  6. Human-Automation Interaction and SafetyPsychology5.5%
  7. Recommender Systems and TechniquesComputer Science5%
  8. Sentiment Analysis and Opinion MiningComputer Science4.5%

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.

CiteScore quartiles (Scopus, June 2026 release)

SubjectQuartileRankPercentile
Computer Science (miscellaneous)Q117/17990th
Information SystemsQ158/51988th
Artificial IntelligenceQ175/57086th

Scopus ranks journals by CiteScore within each subject: the 75th percentile and above is Q1, then a quartile every 25 points. A different system from the CAS zones.LetPub

Database indexing

ScopusDOAJLetPub

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, 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

CiteScore 2026-06
11.5LetPub ·
SJR 2026-06
0.9LetPub ·
SNIP 2026-06
1.64LetPub ·
h-index
24OpenAlex ·
i10-index
54OpenAlex ·
2-year mean citedness
6.13OpenAlex ·
Share of gold OA articles
0%LetPub ·

Volume

Downloads per year (publisher) 2025
277,500Publisher website ·

Articles by year OpenAlex count · 183 in total · the current year is incomplete

YearArticlesOpen accessCitations
20264444777
20254141897
20243434579
20233939177
2022141437
202111117

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

119 daysMedian, submission to acceptance · P25–P75 84 days – 186 days

Acceptance to online
median 14 days (87 articles)
Submission to online
median 141 days
Sample
87 articles with submission and acceptance dates (88 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 27 weeksLetPub ·
Submission to first decision
11 daysPublisher website ·
Submission to publication (journal-reported)
about 27 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

Diamond open access (no APC)DOAJ

Every article is open access and authors pay no article processing charge.

SourceAPCFee waiverLicenseObserved
DOAJNo APCNoCC BY, CC BY-NC-ND
OpenAlexUSD 0——
LetPubNo APCYes—
Publisher websiteYes, 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)

Open calls for papers3, by deadline
  1. Leveraging Big Data in User-Focused Intelligent PlatformsDeadline
  2. Federated Learning and Behavioral AI for Human-Centric SystemsDeadline
  3. The Future of Trust and AI: Human‑Centered Safety, Transparency, and AssuranceDeadline
Publisher 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
Publisher website · model-extracted, each line checked against the text
Article types accepted10, with length limits
  1. commentaryOriginal Article An original article should report the latest research findings on all theoretical and practical applications in human-centric intelligent syste…Length not stated
  2. correspondenceOriginal Article An original article should report the latest research findings on all theoretical and practical applications in human-centric intelligent syste…Length not stated
  3. correspondencesCorrespondences Correspondence includes brief responses, constructive critiques of recently published HCIN articles, or short reports of exciting findings in hu…Length not stated
  4. editorialSingle-blind peer review This journal follows a single-blind reviewing procedure. Peer Review Process: All submitted manuscripts are initially read for appropri…Length not stated
  5. original articleOriginal Article An original article should report the latest research findings on all theoretical and practical applications in human-centric intelligent syste…main text ≤ 3,000 words · figures and tables ≤ 6
  6. perspectiveOriginal Article An original article should report the latest research findings on all theoretical and practical applications in human-centric intelligent syste…Length not stated
  7. research articleOriginal Article An original article should report the latest research findings on all theoretical and practical applications in human-centric intelligent syste…main text ≤ 3,000 words
  8. reviewOriginal Article An original article should report the latest research findings on all theoretical and practical applications in human-centric intelligent syste…main text ≤ 8,000 words · abstract ≤ 150 words
  9. review articleOriginal Article An original article should report the latest research findings on all theoretical and practical applications in human-centric intelligent syste…Length not stated
  10. viewpointOriginal Article An original article should report the latest research findings on all theoretical and practical applications in human-centric intelligent syste…Length not stated
Publisher website
Policy excerpts from the journal's websiteAI use, Authorship, Conflicts of interest, Data availability, License & copyright, Open access, Peer review
AI use Generative AI Images

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

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 Competing Interests

Authors are requested to disclose interests that are directly or indirectly related to the work submitted for publication. Interests within the last 3 years of beginning the work (conducting the research and preparing the work for submission) should be reported. Interests outside the 3-year time frame must be disclosed if they could reasonably be perceived as influencing the submitted work. Disclo…

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 ·
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

To find out more about publishing your work Open Access in Human-Centric Intelligent Systems, including information on fees, funding and licences, visit our Open access publishing page. Back to top

Source ↗Publisher website ·
Peer review Peer Review Process:

Single-blind peer review. Model summary

All submitted manuscripts are initially read for appropriateness by the Editor or handling editors. As peer review requires a substantial investment of time and effort, we send only those papers that are subject-appropriate and that seem most likely to meet our criteria for publication for formal review. Those papers judged by the editors to be of insufficient interest to the journal’s specific fi…

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 Nature
Country or region
Netherlands
Language
English
ISSN
2667-1336
Society / sponsor
Guangdong AiScholar Institute of Academic Exchange
Latest issue on the website
Volume 6, Issue 2 (June 2026)
Official links

FAQ

Frequently asked questions about HumanCentric Intelligent Systems

How long does peer review take at HumanCentric Intelligent Systems?

Based on the dates recorded on 87 articles published between October 2024 and October 2026 (the last 24 months), the median time from submission to acceptance is 119 days (interquartile range 84–186 days); authors report an average review time of about 27 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 HumanCentric Intelligent Systems?

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 HumanCentric Intelligent Systems based?

Of the 31 board members whose country the journal's board page names, 14 (about 45%) are in mainland China; the countries named most often are Mainland China (14), Australia (5) and Hong Kong, China (3). Counted from the institutions listed on the board page; for reference only.

Which databases index HumanCentric Intelligent Systems?

According to LetPub and DOAJ records, HumanCentric Intelligent Systems is indexed in Scopus and DOAJ. The journal's website also lists EI Compendex, INSPEC and DBLP; that list has not been checked against each database.

Is HumanCentric Intelligent Systems open access, and what is the APC?

HumanCentric Intelligent Systems is a diamond open-access journal (no APC). It charges no article processing charge.

Sources and updates

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