Qiang Qu
Scholar

Qiang Qu

Google Scholar ID: vArk4VIAAAAJ
Professor, Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology
BlockchainData IntelligenceData-intensive SystemsData Mining
Citations & Impact
All-time
Citations
4,503
 
H-index
32
 
i10-index
89
 
Publications
20
 
Co-authors
14
list available
Resume (English only)
Academic Achievements
  • Bitcoin reimagined: A comprehensive study of ordinals and inscriptions protocols for Web3 asset innovation, Blockchain: Research and Applications (2025), JCR Q1, IF 5.6
  • AI Agents Meet Blockchain: A Survey on Secure and Scalable Collaboration for Multi-Agents, Future Internet (2025)
  • SNCA: Semi-supervised Node Classification for Evolving Large Attributed Graphs, IEEE Big Data Mining and Analytics (2024), JCR Q1, IF 7.7
  • Adaptive Backdoor Attacks with Reasonable Constraints on Graph Neural Networks, IEEE Transactions on Dependable and Secure Computing (2025), JCR Q1, IF 7
  • Learning for Personalized Medicine: A Comprehensive Review From a Deep Learning Perspective, IEEE Reviews in Biomedical Engineering (2019), JCR Q1, IF 17.2
  • Blockchain-Empowered Collaborative Task Offloading for Cloud-Edge-Device Computing, IEEE J. Sel. Areas Commun. (2022), JCR Q1, IF 13.8
  • Opinion leader detection: A methodological review, Expert Systems with Applications (2019), JCR Q1, IF 7.5
  • On Spatio-temporal Blockchain Query Processing, Future Generation Computer Systems (2019), JCR Q1, IF 6.2
  • Neural Attentive Network for Cross-Domain Aspect-Level Sentiment Classification, IEEE Trans. Affect. Comput. (2021), JCR Q1, IF 9.6
  • Efficient Attribute-Constrained Co-Located Community Search, ICDE (2020), CCF A
  • ROLL: Fast In-Memory Generation of Gigantic Scale-free Networks, SIGMOD Conference (2016), CCF A
  • Mining Top-K Large Structural Patterns in a Massive Network, Proc. VLDB Endow. (2011), CCF A
Research Experience
  • Worked at Innopolis University, Carnegie Mellon University, ETH Zurich, and Singapore Management University. Joined the Chinese Academy of Sciences at the end of 2016 and was promoted to full professor in 2020. Has been a principal investigator for several projects and is now the chief scientist for a project supported by the National key research and development program of China.
Education
  • Received his PhD from Aarhus University in 2014, supervised by Obel Professor Christian S. Jensen.
Background
  • Full professor at Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences. Director of Guangdong Provincial Blockchain and Distributed IOT Security Engineering Research Center, and deputy director of Shenzhen Key Laboratory on High-performance Data Mining. Senior member of the China Computer Federation. Research interests include blockchain/Web3 technologies, databases, data mining, and advanced data intelligence systems.
Miscellany
  • Multiple postdoc/assistant professor and Ph.D vacancies are available. Interested candidates can contact him via email (qiang@siat.ac.cn).