CCF Transactions on Pervasive Computing and Interaction

Aims & Scope

CCF Transactions on Pervasive Computing and Interaction (CCF TPCI) is dedicated to publishing rigorously peer-reviewed, high-quality scientific articles covering all aspects of human-computer interaction and pervasive/ubiquitous computing.

Computing technology is becoming increasingly pervasive, and enables more advanced interactions among humans, machines, and the environment.

To foster the developments in the area, CCF TPCI provides a publication and communication platform and welcomes contributions from researchers, professionals, and industrial practitioners.

This journal is published on behalf of the China Computer Federation (CCF), and it is powered by the CCF technical committees on Pervasive Computing and Human Computer Interaction.

Specific areas of interest include, but are not limited to: - Pervasive Computing - Crowd sensing and computation - Opportunistic networking and sensing - Psychological sensing - Mobile sensing - Mobile social networking - Mobile and wearable computing systems and services - Wireless sensors networks and RFID technologies - Positioning and tracking technologies - Context modeling and context-aware computing - Activity recognition - Internet of Things - Pervasive computing applications, such as smart home, healthcare, smart city - Human-Computer Interaction - Intelligent user interface - Interaction techniques, devices, and modalities - Interface design processes and tools - Brain-machine interaction - Interaction theories and models - Innovative interaction approaches - User experience and usability - Games and play - Virtual reality - Human robot interaction - Understanding people: theory, concepts, methods - Specific application areas - Human-Machine Systems - Human-machine systems - Cyber-physical-social systems - Human-machine collaboration - Trust, security, and privacy - Data mining for human-machine intelligence

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	2
2024	2.20

Journal Rank

Year	Value
2024	12737

Journal Citation Indicator

Year	Value
2024	250

SJR (SCImago Journal Rank)

Year	Value
2024	0.445

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	18

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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.

• Feature learning for Human Activity Recognition using Convolutional Neural Networks

  Citation: 115

  Authors: Federico, Anastasios, Chris, Ian, Paul, Konstantinos, Dimitrios, Dimitrios, Liming, Raouf

• Device free human activity and fall recognition using WiFi channel state information (CSI)

  Citation: 87

  Authors: Neena, Elis, Muyassar, Jörg

• IoT reliability: a review leading to 5 key research directions

  Citation: 75

  Authors: Samuel J., Chris D., Shuai, Ian

• A survey on ubiquitous WiFi-based indoor localization system for smartphone users from implementation perspectives

  Citation: 59

  Authors: Priya, Chandreyee

• Portrait of decentralized application users: an overview based on large-scale Ethereum data

  Citation: 57

  Authors: Tian, Wei

• Artificial Intelligence and the Internet of Things in Industry 4.0

  Citation: 43

  Authors: Petar, David, Razvan, Michael, Omar

• Human factors/ergonomics evaluation for virtual reality headsets: a review

  Citation: 43

  Authors: Yumiao, Xin, Huijia

• Pervasive computing middleware: current trends and emerging challenges

  Citation: 43

  Authors: Christian, Christine, Philippe, Franco

• Manifestation of virtual assistants and robots into daily life: vision and challenges

  Citation: 41

  Authors: Reza, Taylan, Sunny Jung, Christian, Hamidreza, Max, Michael

• Deep learning for intelligent traffic sensing and prediction: recent advances and future challenges

  Citation: 40

  Authors: Xiaochen, Chaocan, Liangyi, Xin, Yuben, Saeed, Yue, Priyadarsi, Xiangjian

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