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About the journal
Statistica Sinica is a journal published by Institute of Statistical Science in Taiwan. It is listed in PUBMED according to the sources read. Facts are reproduced as recorded at their sources with their capture dates; PublishLens indicators are available after sign-in.
Basic facts
- Publisher
- Institute of Statistical Science
- ISSN
- 1996-8507 · 1017-0405
- Country
- Taiwan
- Access
- Not open access / not declared
- Official website
- http://www3.stat.sinica.edu.tw/statistica
Index listings
- PUBMED · 2008-01-01
- Indexing
- PUBMED
- APC
- —
- Declared review time (DOAJ)
- —
- Activity (OpenAlex)
- Active — latest works 2026
- PublishLens list status
- Shown after sign-in
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Methodology signals (dated facts from their sources)
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Descriptive metadata from public sources (DOAJ, OpenAlex, PubMed) as of the capture date shown — contains no assessment or judgment.
Works in OpenAlex
1857
Last recorded publication year
2026
Reported by OpenAlex in 1 of 3 sources (CC0 flags, not verified indexing)DOAJSciELOOpenAlex Core
h-index
56
i10-index
509
From OpenAlex open data (CC0).
Editorial & policy4
- Norwegian register (HK-dir)— 2026
- Level 1 — approved scholarly channel
- Open references deposited at Crossref
- 0%
- ORCID iDs in current deposits
- 0%
- Enrolled in Crossref Similarity Check
- ✓
Identity & continuity2
- Source type
- journal
- NLM unique ID (PubMed)
- 101473244
Classification(no data)
No data available to the platform for this group
No platform data for: Classification — absence is not a judgment about the journal.
Subject areas
- Statistical Methods and Inference
- Statistical Methods and Inference
- Statistical Methods and Inference
- Advanced Statistical Methods and Models
- Statistical Methods and Applications
- Statistical Methods and Bayesian Inference
- Statistical Methods and Bayesian Inference
- Statistical Methods and Bayesian Inference
Show all subjects (75)
- Advanced Statistical Methods and Models
- Advanced Statistical Methods and Models
- Probability and Statistical Research
- Bayesian Methods and Mixture Models
- Bayesian Methods and Mixture Models
- Statistical Distribution Estimation and Applications
- Optimal Experimental Design Methods
- Spatial and Panel Data Analysis
- Advanced Causal Inference Techniques
- Statistical Methods in Clinical Trials
- Optimal Experimental Design Methods
- Optimal Experimental Design Methods
- Financial Risk and Volatility Modeling
- Financial Risk and Volatility Modeling
- Advanced Causal Inference Techniques
- Statistical Methods in Clinical Trials
- Advanced Causal Inference Techniques
- Bayesian Methods and Mixture Models
- Statistical Methods in Clinical Trials
- Financial Risk and Volatility Modeling
- Statistical Distribution Estimation and Applications
- Statistical Distribution Estimation and Applications
- Fault Detection and Control Systems
- Fault Detection and Control Systems
- Random Matrices and Applications
- Advanced Multi-Objective Optimization Algorithms
- Advanced Multi-Objective Optimization Algorithms
- Control Systems and Identification
- Control Systems and Identification
- Survey Sampling and Estimation Techniques
- Gaussian Processes and Bayesian Inference
- Markov Chains and Monte Carlo Methods
- Soil Geostatistics and Mapping
- Face and Expression Recognition
- Face and Expression Recognition
- Soil Geostatistics and Mapping
- Point processes and geometric inequalities
- Advanced Statistical Process Monitoring
- Advanced Statistical Process Monitoring
- Statistical and numerical algorithms
- Sparse and Compressive Sensing Techniques
- Neural Networks and Applications
- Neural Networks and Applications
- Spatial and Panel Data Analysis
- Spatial and Panel Data Analysis
- Advanced Statistical Process Monitoring
- Probabilistic and Robust Engineering Design
- Probabilistic and Robust Engineering Design
- Simulation Techniques and Applications
- Complex Systems and Time Series Analysis
- Complex Systems and Time Series Analysis
- Advanced Combinatorial Mathematics
- Gene expression and cancer classification
- Gene expression and cancer classification
- Gaussian Processes and Bayesian Inference
- Gaussian Processes and Bayesian Inference
- Statistical and numerical algorithms
- Time Series Analysis and Forecasting
- Statistical and numerical algorithms
- Sparse and Compressive Sensing Techniques
- Sparse and Compressive Sensing Techniques
- Bayesian Modeling and Causal Inference
- Bayesian Modeling and Causal Inference
- Statistical Methods in Epidemiology
- Mathematical Approximation and Integration
- Monetary Policy and Economic Impact
- Monetary Policy and Economic Impact
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