Yulia Hicks

1.7k total citations · 1 hit paper
81 papers, 1.2k citations indexed

About

Yulia Hicks is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Yulia Hicks has authored 81 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Vision and Pattern Recognition, 17 papers in Artificial Intelligence and 13 papers in Signal Processing. Recurrent topics in Yulia Hicks's work include Speech and Audio Processing (10 papers), Image Retrieval and Classification Techniques (10 papers) and Face recognition and analysis (7 papers). Yulia Hicks is often cited by papers focused on Speech and Audio Processing (10 papers), Image Retrieval and Classification Techniques (10 papers) and Face recognition and analysis (7 papers). Yulia Hicks collaborates with scholars based in United Kingdom, Iraq and Japan. Yulia Hicks's 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 and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and Pattern Recognition.

In The Last Decade

Yulia Hicks

77 papers receiving 1.1k citations

Hit Papers

Feature selection using Joint Mutual Information Maximisa... 2015 2026 2018 2022 2015 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Feature selection using Joint Mutual Information Maximisation
    2015 494 citations Mohamed Bennasar, Yulia Hicks et al. Expert Systems with Applications profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yulia Hicks United Kingdom 17 387 355 169 112 87 81 1.2k
Karla Brkić Croatia 13 460 1.2× 363 1.0× 124 0.7× 94 0.8× 77 0.9× 38 1.2k
Derek Rose United States 12 635 1.6× 442 1.2× 133 0.8× 70 0.6× 102 1.2× 29 1.6k
Peter Drotár Slovakia 18 391 1.0× 260 0.7× 122 0.7× 85 0.8× 46 0.5× 60 1.4k
Abdelmgeid A. Ali Egypt 18 645 1.7× 385 1.1× 125 0.7× 97 0.9× 135 1.6× 33 1.5k
Syed Fawad Hussain Pakistan 20 382 1.0× 222 0.6× 123 0.7× 51 0.5× 48 0.6× 51 917
Tehmina Khalil Pakistan 9 372 1.0× 425 1.2× 89 0.5× 67 0.6× 94 1.1× 13 1.2k
Qiang Cheng United States 19 459 1.2× 524 1.5× 113 0.7× 152 1.4× 43 0.5× 79 1.3k
Samina Khalid Pakistan 11 390 1.0× 236 0.7× 89 0.5× 69 0.6× 104 1.2× 27 1.1k
Mst Shamima Nasrin United States 3 548 1.4× 392 1.1× 82 0.5× 64 0.6× 81 0.9× 4 1.4k
Leonardo Trujillo Mexico 21 621 1.6× 410 1.2× 58 0.3× 132 1.2× 62 0.7× 125 1.5k

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-authorship network of co-authors of Yulia Hicks

This figure shows the co-authorship network connecting the top 25 collaborators of Yulia Hicks. A scholar is included among the top collaborators of Yulia Hicks based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yulia Hicks. Yulia Hicks is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hicks, Yulia, et al.. (2025). A novel self-supervised method for in-field occluded apple ripeness determination. Computers and Electronics in Agriculture. 234. 110246–110246. 2 indexed citations
2.
Hicks, Yulia, et al.. (2025). FruitQuery: A lightweight query-based instance segmentation model for in-field fruit ripeness determination. Smart Agricultural Technology. 12. 101068–101068. 3 indexed citations
3.
Tong, Tong, Rossitza Setchi, & Yulia Hicks. (2024). Human intention recognition using context relationships in complex scenes. Expert Systems with Applications. 266. 126147–126147. 1 indexed citations
4.
5.
Hicks, Yulia, et al.. (2024). Lightweight and Efficient Attention-based CNN Models for In-field Strawberry Instance Segmentation. ORCA Online Research @Cardiff (Cardiff University). 3294–3299.
6.
Hicks, Yulia, et al.. (2024). SpineSighter: An AI-Driven Approach for Automatic Classification of Spinal Function from Video. Procedia Computer Science. 246. 3977–3989. 1 indexed citations
7.
Kawanaka, Hiroharu, et al.. (2020). A Study on Classification Using Machine Learning for Dementia Evaluation. ORCA Online Research @Cardiff (Cardiff University). 29. 101–103. 1 indexed citations
8.
Camilleri, Kenneth P., et al.. (2020). Bimodal Automated Carotid Ultrasound Segmentation Using Geometrically Constrained Deep Neural Networks. IEEE Journal of Biomedical and Health Informatics. 24(4). 1004–1015. 25 indexed citations
9.
Hicks, Yulia, et al.. (2019). An automatic approach for classification and categorisation of lip morphological traits. PLoS ONE. 14(10). e0221197–e0221197. 4 indexed citations
10.
Bennasar, Mohamed, et al.. (2018). Automated Assessment of Movement Impairment in Huntington’s Disease. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 26(10). 2062–2069. 25 indexed citations
11.
Hicks, Yulia, et al.. (2018). A 3D morphometric perspective for facial gender analysis and classification using geodesic path curvature features. Computational Visual Media. 4(1). 17–32. 16 indexed citations
12.
Hicks, Yulia, et al.. (2018). Optimising Graphical Techniques Applied to Irreversible Tracers. 17–26. 1 indexed citations
13.
Bennasar, Mohamed, Yulia Hicks, & Rossitza Setchi. (2015). Feature selection using Joint Mutual Information Maximisation. Expert Systems with Applications. 42(22). 8520–8532. 494 indexed citations breakdown →
14.
Setchi, Rossitza, et al.. (2015). Cognitive Network Framework for Heterogeneous Wireless Networks. Procedia Computer Science. 60. 216–225. 5 indexed citations
15.
Setchi, Rossitza, et al.. (2014). Multi-rate medium access protocol based on reinforcement learning. ORCA Online Research @Cardiff (Cardiff University). 39. 2875–2880. 6 indexed citations
16.
Hicks, Yulia, et al.. (2011). Automatic analysis of composite activities in video sequences using Key Action Discovery and hierarchical graphical models. ORCA Online Research @Cardiff (Cardiff University). 178. 890–897. 1 indexed citations
17.
Sanei, Saeid, et al.. (2007). Proceedings of the 15th Int. Conf. on Digital Signal Processing. View. 1 indexed citations
18.
Cvetković, Zoran, Peter Sollich, Saeid Sanei, et al.. (2007). 2007 15th International Conference on Digital Signal Processing. 18 indexed citations
19.
Sanei, Saeid, et al.. (2007). Detection of Temporomandibular Disorder from Facial Pattern. 151–154. 6 indexed citations
20.
Mann, David G., Micha Bayer, Stephen J. M. Droop, et al.. (2007). New methods for preparing, imaging and typifying desmids (Chlorophyta, Zygnematophyceae), including extended depth of focus and 3-D reconstruction. Phycologia. 46(1). 29–45. 2 indexed citations

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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