Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Xiao Zhou 0021

dblp:267/2864-21 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
1since 2021 · last 2024
0009-0003-6215-0709ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Wireless sensing and localization · 80% Cellular and mobile networks · 20%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Wireless sensing and localization › radar signal processing
FMCW radar
0.812024
Interference mitigation and target detection for automotive FMCW radar with range-Doppler sparse regularization · Sci. China Inf. Sci. 2024
Cellular and mobile networks › interference management
interference mitigation
0.812024
Interference mitigation and target detection for automotive FMCW radar with range-Doppler sparse regularization · Sci. China Inf. Sci. 2024
Wireless sensing and localization
radar signal processing
0.812024
Interference mitigation and target detection for automotive FMCW radar with range-Doppler sparse regularization · Sci. China Inf. Sci. 2024
Wireless sensing and localization › radar signal processing
range-doppler processing
0.812024
Interference mitigation and target detection for automotive FMCW radar with range-Doppler sparse regularization · Sci. China Inf. Sci. 2024
Wireless sensing and localization › radar signal processing
target detection
0.812024
Interference mitigation and target detection for automotive FMCW radar with range-Doppler sparse regularization · Sci. China Inf. Sci. 2024

Methods — techniques the papers use, named apart from their topics

sparse regularization · 0.8
YearPublicationVenuePosition
2024 Interference mitigation and target detection for automotive FMCW radar with range-Doppler sparse regularization
Yan Huang 0018, Yunxuan Wang, Xiao Zhou 0021, Hui Zhang 0071, Yuan Mao, Guisheng Liao, Wei Hong 0002
Sci. China Inf. Sci.3