International Journal of Crowd Science
Tsinghua University Press
About the journal
International Journal of Crowd Science is an open-access journal published by Tsinghua University Press in China, publishing in english. It is listed in DOAJ according to the sources read. Declared review time at DOAJ: 12 weeks. Facts are reproduced as recorded at their sources with their capture dates; PublishLens indicators are available after sign-in.
Basic facts
- Publisher
- Tsinghua University Press
- ISSN
- 2398-7294
- Country
- China
- Languages
- english
- Access
- Open access
- Articles in DOAJ
- 239
- Declared review time
- 12 weeks
- Declared peer-review model
- double_blind
- Official website
- https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=9736195
Index listings
- DOAJ · 2018-04-05
- Indexing
- DOAJ
- APC
- —
- Declared review time (DOAJ)
- 12 weeks — journal-declared only (not measured)
- Activity (OpenAlex)
- Active — latest works 2026
- PublishLens list status
- Shown after sign-in
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- Choose your university and rank below ↓
Methodology signals (dated facts from their sources)
Details of the evaluation under the published methodology are shown to signed-in users (free).
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Descriptive metadata from public sources (DOAJ, OpenAlex, PubMed) as of the capture date shown — contains no assessment or judgment.
Articles in DOAJ
239
Most recent article
3 months ago
Average review time (journal-declared via DOAJ)
12weeks
Works in OpenAlex
223
Last recorded publication year
2025
h-index
23
i10-index
57
From OpenAlex open data (CC0).
Editorial & policy10
- Last DOAJ review date
- 2022-10-10
- Added to DOAJ
- 2018-04-05
- Declared plagiarism screening
- Declared
- Other fees beyond APC
- No
- Observed digital preservation (Keepers registry)— snapshot 2026-10-05
- CLOCKSSPortico
- Editorial board
- Official page ↗
- Open references deposited at Crossref
- 96%
- ORCID iDs in current deposits
- 0%
- Enrolled in Crossref Similarity Check
- ✓
- Peer-review policy
- View policy
Identity & continuity1
- Source type
- journal
Classification3
Subjects (DOAJ)
LCC codes
Subject areas
- Complex Network Analysis Techniques
- Complex Network Analysis Techniques
- Mobile Crowdsensing and Crowdsourcing
- Mobile Crowdsensing and Crowdsourcing
- Opinion Dynamics and Social Influence
- Opinion Dynamics and Social Influence
- Blockchain Technology Applications and Security
- Blockchain Technology Applications and Security
Show all subjects (50)
- Open Source Software Innovations
- Open Source Software Innovations
- Topic Modeling
- Topic Modeling
- IoT and Edge/Fog Computing
- IoT and Edge/Fog Computing
- Evolutionary Game Theory and Cooperation
- Evolutionary Game Theory and Cooperation
- Digital Marketing and Social Media
- Digital Marketing and Social Media
- Anomaly Detection Techniques and Applications
- Digital Platforms and Economics
- Data Stream Mining Techniques
- Anomaly Detection Techniques and Applications
- Knowledge Management and Sharing
- Digital Platforms and Economics
- FinTech, Crowdfunding, Digital Finance
- FinTech, Crowdfunding, Digital Finance
- Data Stream Mining Techniques
- Knowledge Management and Sharing
- Expert finding and Q&A systems
- Context-Aware Activity Recognition Systems
- Context-Aware Activity Recognition Systems
- Recommender Systems and Techniques
- Social Media and Politics
- Expert finding and Q&A systems
- Recommender Systems and Techniques
- Social Media and Politics
- Evacuation and Crowd Dynamics
- EEG and Brain-Computer Interfaces
- Artificial Intelligence in Healthcare
- Transportation Planning and Optimization
- Artificial Intelligence in Healthcare
- Transportation Planning and Optimization
- Auction Theory and Applications
- EEG and Brain-Computer Interfaces
- Evacuation and Crowd Dynamics
- Online Learning and Analytics
- Auction Theory and Applications
- Technology Adoption and User Behaviour
- Technology Adoption and User Behaviour
- Online Learning and Analytics
Keywords (DOAJ)
- engineering
- citizen science
- crowd science
- modelling and simulation
Community confirmations — what users saw in MJL or Scopus Sources; not platform verification and never part of any score.
The journal's record in other sources:Web of Science MJLDOAJ