Sign inGet started
Paper · arXiv

CiteRadar: A Citation Intelligence Platform for Researcher Profiling and Geographic Visualization

Understanding the geographic reach and community structure of one's scholarly citations is increasingly valuable for career development, grant applications, and collaboration discovery -- yet accessible tools for answering these questions remain scarce. Existing bibliometric platforms either require costly institutional subscriptions or expose only aggregate citation counts without granular per-author metadata. We present CiteRadar, an open-source system that accepts a single Google Scholar user identifier and automatically produces a structured output folder containing: the author's complete publication list, all retrieved citing papers with enriched author metadata, two ranked author ta...

AuthorsChenxu Niu, Yiming Sun
Primary categorycs.LG
Published27 April 2026
Last updated at source27 April 2026
cs.LGcs.DLcs.HCcs.IR
Embed this entry
<iframe src="https://silytics.si/embed/item/be6b32d1-3a76-4183-99c4-1951073a9a08" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.