İlkay Ulusoy

2.6k citations
67 papers · 921 · 1 hit paper · h-index 14

Impact in

Papers in

İlkay Ulusoy

61 papers receiving 873 citations

İlkay Ulusoy's Hit Papers

Image classification with deep learning in the presence of noisy labels: A survey 2021 · 215 citations
2150+1+3Years since publication50100150200

Peers

İlkay Ulusoy
Comparison fields: 5 of 118
  • Media Technology 231
  • Computer Vision and Pattern Recognition 387
  • Industrial and Manufacturing Engineering 91
  • Artificial Intelligence 210
  • Atmospheric Science 95
Replace Panqu Wang with:
Panqu Wang United States
Yiquan Wu China
Zehua Huang China
Xiangtai Li China
Weiqing Yan China
Weiguo Gong China
Diganta Misra India
Zihang Jiang China
İlkay Ulusoy relative to Panqu Wang United States Panqu Wang's profile →
Citations per field
00.5×10×16.5×
Panqu Wang · 1×
Citations per year

Countries citing papers authored by İlkay Ulusoy

Since Specialization
Citations

This map shows the geographic impact of İlkay Ulusoy'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 İlkay Ulusoy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites İlkay Ulusoy more than expected).

Fields of papers citing papers by İlkay Ulusoy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by İlkay Ulusoy. 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 İlkay Ulusoy. The network helps show where İlkay Ulusoy may publish in the future.

Co-authors

The 25 scholars most cited alongside İlkay Ulusoy, 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 İlkay Ulusoy Line = papers co-authored together İlkay Ulusoy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Image classification with deep learning in the presence of noisy labels: A survey
Hit paper breakdown →
2021215
2 2015134
3 200597
4 201048
5 201142
6 201132
7 201630
8 201827
9 201220
10 200719
11 201619
12 200918
13 201617
14 200913
15 200911
16 202210
17 20209
18 20118
19 20118
20 20088

About İlkay Ulusoy

İlkay Ulusoy is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Computational Mechanics, Aerospace Engineering and Artificial Intelligence, having authored 67 papers that have together received 921 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (15 papers), Advanced Image and Video Retrieval Techniques (11 papers), Image Retrieval and Classification Techniques (10 papers), Face recognition and analysis (10 papers), 3D Shape Modeling and Analysis (9 papers), Face and Expression Recognition (7 papers), Remote Sensing and Land Use (6 papers) and Robotics and Sensor-Based Localization (6 papers). The work is most often cited by research in Media Technology (231 citations), Computer Vision and Pattern Recognition (387 citations), Industrial and Manufacturing Engineering (91 citations), Artificial Intelligence (210 citations) and Atmospheric Science (95 citations). İlkay Ulusoy has collaborated with scholars based in Türkiye, United Kingdom and Spain. Frequent co-authors include Görkem Algan, C.M. Bishop, Çağlar Aytekin, Sedat Dogru, Erdem Akagündüz, Arzu Erener, Şebnem Düzgün, Edwin R. Hancock, Terry Windeatt and Francisco Escolano. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Inverse Problems in Science and Engineering, Pattern Recognition Letters, Electronics Letters and Scientific Reports.

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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