Computational Urban Science - Special issues of this journal follow Double-blind peer review
Following special issues follow a double-blind reviewing procedure.
Advanced Urban Environmental Sensing
Urban Artificial Intelligence Synergy: Fusing Urban Science with Cutting-Edge AI Innovations
Data Science in City Operations
Advances in urban remote sensing for coastal sustainability
Promoting Computational Advanced Data Fusion for Urban Computing
Computational Urban Planning and Urban Management for Future Cities
Social Infrastructure: Use of Places, Spaces, and Points of Interest (POIs)
Promoting Urban Computational Paradigms with Shareable Data, Models, Tools, and Frameworks
Urban Safety and Resilient Society
This means that the author will remain anonymous to the reviewers throughout peer review. It is the responsibility of the author to anonymize the manuscript and any associated materials.
Author names, affiliations, and any other potentially identifying information should be removed from the manuscript text and any accompanying files (such as figures of supplementary material);
A separate Title Page should be submitted, containing title, author names, affiliations, and the contact information of the corresponding author. Any acknowledgements, disclosures, or funding information should also be included on this page;
Authors should avoid citing their own work in a way that could reveal their identity.
The Editor-in-Chief preliminary evaluate the manuscript and is entitled to reject the manuscript before the review process if the manuscript does not follow the Guidelines for Authors or if the contents and language do not meet the standard of the journal. The Editor-in-Chief then assigns each manuscript to Guest Editors to process the manuscript.
The Guest Editors select the referees and correspond with the authors. Each article will have at least two reviewers and the Editor-in-Chief will make the final decisions.