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China and WTO Review (CWR) is an internationally referred scholarly journal(ESCI/SCOPUS) which is semi-annually published by UK Zhende Publishing Group on March 1 and September 1, respectively. CWR is dedicated to addressing critical law and policy questions regarding China and the World Trade Organization. The Review encompasses eminent academic papers and case reports comprehensively analyzing trade law and policy in a wide range of areas including dispute settlement proceedings involving China from a proactive viewpoint of international and comparative law, legal economics and policy. In addition, to the extent relevant to WTO covered agreements (or other trade accords for that matter), the Review deals with foreign investment, copyrights and other trade-related issues. It welcomes the contribution from China and around the world.

Vol. 12 No. 1 (2026): IN PRESS

Published: 2026-06-11

Articles

Abuse of Market Dominance, Patent Exploitation and Relevant Market: Learning Lessons from China and the EU under International Competition Law

Muhammad Salman Shafiq, Kashif Imran Zaidi (Author)
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Intelligent Scheduling Systems for Practice-Based Higher Education Programs

Émilie Laurent, Nicolas Morel, Claire Lefèvre (Author)
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Behavioral Fingerprinting for Detecting Covert DNS Tunneling Activities in Enterprise Networks

Oliver Bennett, Amelia Clarke (Author)
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Transaction-Gateway Security Monitoring Through Real-Time Communication Behavior Analysis

Daniel Thompson, Olivia Mitchell (Author)
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Dependency-Centric Security Analysis for Lateral Communication in Data Center Environments

Daan van der Meer , Sophie de Vries, Thomas Jansen (Author)
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Exposure-Aware Protection of Edge-to-Cloud Data Synchronization Workflows

Emily J. Carter, Benjamin R. Hughes, Olivia M. Bennett (Author)
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Public Value Creation in Arts-Integrated Community Learning

Hyungsook Kim, Soo Jeoung Han (Author)
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Competency Dashboards for Tracking Progress in Hands-On Learning Programs

Emily Carter, Daniel Brooks, Rachel Mitchell (Author)
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Bill Chain Risk Detection in Industrial Enterprises Through Multi-Relational Graph Inference

Jinwoo Kim, Hyejin Lee (Author)
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