Yulia Hicks

1.7k citations
81 papers · 1.2k · 1 hit paper · h-index 17

Impact in

Papers in

Yulia Hicks

77 papers receiving 1.1k citations

Hit Papers

Feature selection using Joint Mutual Information Maximisation 2015 · 494 citations
4940+3+7Years since publication100200300400

Peers

Yulia Hicks
Comparison fields: 5 of 145
  • Computer Vision and Pattern Recognition 355
  • Signal Processing 169
  • Artificial Intelligence 387
  • Human-Computer Interaction 28
  • Health Information Management 22
Replace Il-Seok Oh with:
Il-Seok Oh South Korea
Claudio De Stefano Italy
Ming Yu China
Peter Drotár Slovakia
Hyun‐Chul Kim South Korea
Zhen Huang China
Türker Tuncer Türkiye
Ahmad Ihsan Mohd Yassin Malaysia
Karla Brkić Croatia
Cüneyt Güzelіș Türkiye
Yulia Hicks relative to Il-Seok Oh South Korea Il-Seok Oh's profile →
Citations per field
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Il-Seok Oh · 1×
Citations per year

Countries citing papers authored by Yulia Hicks

Since Specialization
Citations

This map shows the geographic impact of Yulia Hicks's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yulia Hicks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yulia Hicks more than expected).

Fields of papers citing papers by Yulia Hicks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yulia Hicks. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yulia Hicks. The network helps show where Yulia Hicks may publish in the future.

Co-authors

The 25 scholars most cited alongside Yulia Hicks, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yulia Hicks Line = papers co-authored together Yulia Hicks links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Feature selection using Joint Mutual Information Maximisation
Hit paper breakdown →
2015494
2 200642
3 201639
4 200932
5 201326
6 201825
7 202025
8 201024
9 200722
10 201721
11 202321
12
2007 15th International Conference on Digital Signal Processing
200718
13 201518
14 201718
15
A method to add Gaussian mixture models
200418
16 201417
17 201816
18 201616
19 201614
20 200311

About Yulia Hicks

Yulia Hicks is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Psychiatry and Mental health and Molecular Biology, having authored 81 papers that have together received 1.2k indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (10 papers), Speech and Audio Processing (10 papers), Dementia and Cognitive Impairment Research (7 papers), Face recognition and analysis (7 papers), Blind Source Separation Techniques (7 papers), Video Surveillance and Tracking Methods (6 papers), Cardiovascular Health and Disease Prevention (5 papers) and Anomaly Detection Techniques and Applications (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (355 citations), Signal Processing (169 citations), Artificial Intelligence (387 citations), Human-Computer Interaction (28 citations) and Health Information Management (22 citations). Yulia Hicks has collaborated with scholars based in United Kingdom, Iraq and Japan. Frequent co-authors include Rossitza Setchi, Mohamed Bennasar, Jonathon A. Chambers, Kenneth P. Camilleri, Darren Cosker, Saeid Sanei, Paul L. Rosin, Stuart M. Allen, Wenwu Wang and Antony Bayer. Their work appears in journals such as Computers and Electronics in Agriculture, Expert Systems with Applications, PLoS ONE, Computational Visual Media and IEEE Journal of Biomedical and Health Informatics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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