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
Demo Data from SIGIR 2026 / reviewers in the wild / expert

Sherwin E. Hua

dblp:33/7847 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 2008
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 1

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.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Medical and health informatics · 100%

Topics — the 1 heaviest of 1, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Medical and health informatics
neuromodulation		 0.112008
Deep Brain Stimulation: An Evolving Technology · Proc. IEEE 2008

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

systematic review · 0.1
YearPublicationVenuePosition
2008 Deep Brain Stimulation: An Evolving Technology
abstract
Deep brain stimulation (DBS) is widely used as a safe and effective medical treatment for certain neurological disorders. It continues to evolve with improving techniques in functional neurosurgery and biomedical device engineering. This paper provides an overview of the enabling science and technology that have allowed DBS to successfully treat certain neurological disorders. It also points toward some of the engineering advances that will enable DBS to yield a more predictable outcome for current indications and to be systematically developed as a treatment for new indications.
Mark A. Liker, Deborah S. Won, Vikas Y. Rao, Sherwin E. Hua
 Proc. IEEE4