Academic Journal
Q2Data Intelligence
About Data Intelligence
Data Intelligence is a scholarly journal published by Science Press. SCImago 2025 lists it in Q2, with an SJR of 0.535 and H-index of 31.
Coverage: 2019-2025. Research categories: Artificial Intelligence (Q2); Computer Science Applications (Q2); Information Systems (Q2); Library and Information Sciences (Q2).
Source-backed journal facts
Topics in published research
Research Data Management Practices; Topic Modeling; Scientific Computing and Data Management; Data Quality and Management; Natural Language Processing Techniques; Advanced Graph Neural Networks.
OpenAlex classifies topics from published works. These topics are not the publisher’s official aims and scope.
Source: OpenAlex source record. Retrieved 2026-10-03. Source record updated 2026-10-02. OpenAlex metrics are different from SCImago metrics and the Clarivate Journal Impact Factor.
Journal Metrics
Quartile, SJR and the listed SCImago H-index use the 2025 imported SCImago dataset. A quartile may vary by subject category. Values without a source or reporting year are unverified historical entries. Verify the current Journal Impact Factor with Clarivate or the publisher before using it.
Aims & Scope
The publisher’s official aims and scope have not yet been verified for this profile. Use the journal website to check subject fit and accepted article types before submitting.
Recent Research Articles
Latest publications matched automatically by ISSN.
Using Intelligent Screening Service Platform (ISSP) to improve the screening process of clinical trial subjects during COVID-19 pandemic: an experimental study
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2024-03-11 · DOI: 10.1162/dint_a_00247The stance and factors of international organizations towards countries from a Chinese perspective
Qin Zhang, Haili Xue, Yaotian Wang, Yao Wang et al.
2024-02-01 · DOI: 10.1162/dint_a_00248Exploring Attentive Siamese LSTM for Low-Resource Text Plagiarism Detection
Wei Bao, Jian Dong, Yang Xu, Yuanyuan Yang et al.
2024-05-01 · DOI: 10.1162/dint_a_00242Multi-view Feature Learning for the Over-penalty in Adversarial Domain Adaptation
Yuhong Zhang, Jianqing Wu, Qi Zhang, Xuegang Hu et al.
2024-02-01 · DOI: 10.1162/dint_a_00199Predicting an Optimal Virtual Data Model for Uniform Access to Large Heterogeneous Data
Chahrazed B. Bachir Belmehdi, Abderrahmane Khiat, Nabil Keskes
2024-05-01 · DOI: 10.1162/dint_a_00216The Limitations and Ethical Considerations of ChatGPT
Shangying Hua, Shuangci Jin, Shengyi Jiang
2024-02-01 · DOI: 10.1162/dint_a_00243Benchmarks for Pirá 2.0, a Reading Comprehension Dataset about the Ocean, the Brazilian Coast, and Climate Change
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2024-02-01 · DOI: 10.1162/dint_a_00245Sustainable Connectivity in a Community Repository
Ted Habermann
2024-05-01 · DOI: 10.1162/dint_a_00252BIKAS: Bio-Inspired Knowledge Acquisition and Simulacrum—A Knowledge Database to Support Multifunctional Design Concept Generation
Pavan Tejaswi Velivela, Yaoyao Fiona Zhao
2024-05-01 · DOI: 10.1162/dint_a_00240The W3C Data Catalog Vocabulary, Version 2: Rationale, Design Principles, and Uptake
Riccardo Albertoni, David Browning, Simon Cox, Alejandra N. Gonzalez-Beltran et al.
2024-05-01 · DOI: 10.1162/dint_a_00241Building Expertise on FAIR Through Evolving Bring Your Own Data (BYOD) Workshops: Describing the Data, Software, and Management-focused Approaches and Their Evolution
César H. Bernabé, Lieze Thielemans, Rajaram Kaliyaperumal, Claudio Carta et al.
2024-05-01 · DOI: 10.1162/dint_a_00236FAIR Enough: Develop and Assess a FAIR-Compliant Dataset for Large Language Model Training?
Shaina Raza, Shardul Ghuge, Chen Ding, Elham Dolatabadi et al.
2024-05-01 · DOI: 10.1162/dint_a_00255Applying a Context-based Method to Build a Knowledge Graph for the Blue Amazon
Pedro de Moraes Ligabue, Anarosa Alves Franco Brandão, Sarajane Marques Peres, Fabio Gagliardi Cozman et al.
2024-02-01 · DOI: 10.1162/dint_a_00223Resampling approaches for the quantitative analysis of spatially distributed cells
Giorgio Bertolazzi, Michele Tumminello, Gaia Morello, Beatrice Belmonte et al.
2024-02-01 · DOI: 10.1162/dint_a_00249The Four Most Basic Elements In Machine Cognition
Deyi Li, Jialun Yin, Tianlei Zhang, Wei Han et al.
2024-05-01 · DOI: 10.1162/dint_a_00254ChatGPT is a Remarkable Tool—For Experts
Amos Azaria, Rina Azoulay, Shulamit Reches
2024-02-01 · DOI: 10.1162/dint_a_00235Optimizing ASReview Simulations: A generic Multiprocessing Solution for ‘Light-data’ and ‘Heavy-data’ Users
Sergei Romanov, Abel Soares Siqueira, Jonathan de Bruin, Jelle Teijema et al.
2024-05-01 · DOI: 10.1162/dint_a_00244Training Generative Adversarial Networks with Adaptive Composite Gradient
Huiqing Qi, Fang Li, Shengli Tan, Xiangyun Zhang et al.
2024-02-01 · DOI: 10.1162/dint_a_00246LLaMA-LoRA Neural Prompt Engineering: A Deep Tuning Framework for Automatically Generating Chinese Text Logical Reasoning Thinking Chains
Songlin Chen, Weicheng Wang, Xiaoliang Chen, Peng lu et al.
2024-05-01 · DOI: 10.1162/dint_a_00251Reviews
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Version History
October 4, 2026 at 9:16 pm
October 2, 2026