Tsinghua Science and Technology

Aims & Scope

Tsinghua Science and Technology, started in 1996, is an international academic journal managed by the Ministry of Education of the People’s Republic of China and sponsored by Tsinghua University.

Tsinghua Science and Technology is published by Tsinghua University Press bimonthly with ISSN 1007-0214 (print), ISSN 1878-7606 (Online) and CN 11-3745/N.

Prof.

Jiaguang Sun from Tsinghua University is the Editor-in-Chief.

The journal aims at presenting the up-to-date scientific achievements with high creativity and great significance in computer and electronic engineering.

Special issues have been published to highlight the hot spots in IT field.

Most members of the editorial board are IEEE fellows.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	3.5

SJR (SCImago Journal Rank)

Year	Value
2024	1.067

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	64

Journal Rank

Year	Value
2024	4347

Journal Citation Indicator

Year	Value
2024	1527

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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 Multidisciplinary, designed to support cutting-edge academic discovery.

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Licensing & Copyright

This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.

Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.

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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.

• Droiddetector: android malware characterization and detection using deep learning

  Citation: 363

  Authors: Zhenlong, Yongqiang, Yibo

• Deep reinforcement learning based mobile robot navigation: A review

  Citation: 344

  Authors: Kai, Tao

• Corrosion protection properties of organofunctional silanes — An overview

  Citation: 330

  Authors: W. J., D., M., A., T., J., P.

• A survey of MRI-based brain tumor segmentation methods

  Citation: 300

  Authors:

• Activity recognition with smartphone sensors

  Citation: 283

  Authors:

• Energy-theft detection issues for advanced metering infrastructure in smart grid

  Citation: 273

  Authors: Rong, Rongxing, Ye, Jun, Changxiang, Xuemin

• Load profiling and its application to demand response: A review

  Citation: 231

  Authors:

• Deep learning based 2D human pose estimation: A survey

  Citation: 220

  Authors: Qi, Jianqin, Bin, Wenqing

• Mobile commerce user acceptance study in China: A revised UTAUT model

  Citation: 208

  Authors: Qingfei, Shaobo, Gang

• A hybrid unsupervised clustering-based anomaly detection method

  Citation: 178

  Authors: Guo, Lijuan, Jun, Fang

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