Web Intelligence

Aims & Scope

Web Intelligence (WI) is an official journal of the Web Intelligence Consortium (WIC), an international organization dedicated to promoting collaborative scientific research and industrial development in the era of Web intelligence.

WI seeks to collaborate with major societies and international conferences in the field.

WI is a peer-reviewed journal, which publishes four issues a year, in both online and print form.

WI aims to achieve a multi-disciplinary balance between research advances in theories and methods usually associated with Collective Intelligence, Data Science, Human-Centric Computing, Knowledge Management, and Network Science.

It is committed to publishing research that both deepen the understanding of computational, logical, cognitive, physical, and social foundations of the future Web, and enable the development and application of technologies based on Web intelligence.

The journal features high-quality, original research papers (including state-of-the-art reviews), brief papers, and letters in all theoretical and technology areas that make up the field of WI.

The papers should clearly focus on some of the following areas of interest: a.

Collective Intelligence[...] b.

Data Science[...] c.

Human-Centric Computing[...] d.

Knowledge Management[...] e.

Network Science[...]

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	0.3
2024	0.20

SJR (SCImago Journal Rank)

Year	Value
2024	0.136

Quartile

Year	Value
2024	Q4

h-index

Year	Value
2024	26

Journal Rank

Year	Value
2024	25677

Journal Citation Indicator

Year	Value
2024	39

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Social media gerontology: Understanding social media usage among older adults

  Citation: 91

  Authors: C.J., Caroline, Sarah, Cara, Linda, Julie, Brad

• Emotional machines: The next revolution

  Citation: 36

  Authors: Valentina, Alfredo, Daniele, Jordi

• Automating facial emotion recognition

  Citation: 31

  Authors: Osvaldo, Valentina, Matteo, Sergio

• Sentiment analysis of Kazakh text and their polarity

  Citation: 26

  Authors: Banu, Gulmira, Altynbek

• A topic-based sentiment analysis model to predict stock market price movement using Weibo mood

  Citation: 25

  Authors: Wenhao, Yi, Kinkeung, Haoran

• An intelligent recommender system based on predictive analysis in telehealthcare environment

  Citation: 22

  Authors: Raid, Ji, Xiaohui, Yan, Vincent S., Yonglong, Fulong

• Graph-based knowledge tracing: Modeling student proficiency using graph neural networks

  Citation: 21

  Authors: Hiromi, Yusuke, Yutaka

• Chatbots for online banking services

  Citation: 18

  Authors: Dana, Kevin

• Tracking a leader’s humility and its emotions from body, face and voice

  Citation: 18

  Authors: Francesca, Isabella

• A survey on text classification and its applications

  Citation: 16

  Authors: Xujuan, Raj, Yuefeng, Revathi, Xiaohui, Ghazal, Prabal D., Srinivas

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