Hayden Gunraj

587 total citations
11 papers, 317 citations indexed

About

Hayden Gunraj is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics and Artificial Intelligence. According to data from OpenAlex, Hayden Gunraj has authored 11 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Health Informatics and 4 papers in Artificial Intelligence. Recurrent topics in Hayden Gunraj's work include Radiomics and Machine Learning in Medical Imaging (6 papers), COVID-19 diagnosis using AI (6 papers) and Artificial Intelligence in Healthcare and Education (5 papers). Hayden Gunraj is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), COVID-19 diagnosis using AI (6 papers) and Artificial Intelligence in Healthcare and Education (5 papers). Hayden Gunraj collaborates with scholars based in Canada, United States and Poland. Hayden Gunraj's co-authors include Alexander Wong, Linda Wang, Ali Sabri, David Koff, Amer Alaref, Audrey G. Chung, Paul Guerrier, Farzad Khalvati, Mohammad Javad Shafiee and Masoom A. Haider and has published in prestigious journals such as Scientific Reports, Sensors and Medical Physics.

In The Last Decade

Hayden Gunraj

11 papers receiving 310 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hayden Gunraj Canada 6 283 190 53 48 38 11 317
Michael J. Horry Australia 5 316 1.1× 207 1.1× 62 1.2× 53 1.1× 55 1.4× 8 378
Youness Chawki Portugal 4 235 0.8× 150 0.8× 49 0.9× 49 1.0× 36 0.9× 10 282
Manas Saha India 4 288 1.0× 193 1.0× 52 1.0× 66 1.4× 42 1.1× 8 361
Utkarsh Sinha India 6 295 1.0× 196 1.0× 44 0.8× 66 1.4× 41 1.1× 13 368
Yanfei Hong China 5 236 0.8× 196 1.0× 53 1.0× 70 1.5× 28 0.7× 6 319
Jinyu Cong China 7 217 0.8× 144 0.8× 53 1.0× 68 1.4× 27 0.7× 20 310
Anabel Gómez-Ríos Spain 2 228 0.8× 154 0.8× 46 0.9× 33 0.7× 34 0.9× 2 279
Satyabhuwan Singh Netam India 3 242 0.9× 139 0.7× 34 0.6× 51 1.1× 39 1.0× 7 288
Tianyu Zhang China 11 212 0.7× 181 1.0× 69 1.3× 26 0.5× 51 1.3× 31 372

Countries citing papers authored by Hayden Gunraj

Since Specialization
Citations

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

Fields of papers citing papers by Hayden Gunraj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hayden Gunraj

This figure shows the co-authorship network connecting the top 25 collaborators of Hayden Gunraj. A scholar is included among the top collaborators of Hayden Gunraj 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 Hayden Gunraj. Hayden Gunraj is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Gunraj, Hayden, et al.. (2023). SolderNet: Towards Trustworthy Visual Inspection of Solder Joints in Electronics Manufacturing Using Explainable Artificial Intelligence. Proceedings of the AAAI Conference on Artificial Intelligence. 37(13). 15668–15674. 7 indexed citations
3.
Wong, Alexander, et al.. (2022). Synthetic correlated diffusion imaging hyperintensity delineates clinically significant prostate cancer. Scientific Reports. 12(1). 3376–3376. 2 indexed citations
4.
Gunraj, Hayden, et al.. (2022). MEDUSA: Multi-Scale Encoder-Decoder Self-Attention Deep Neural Network Architecture for Medical Image Analysis. Frontiers in Medicine. 8. 821120–821120. 11 indexed citations
5.
Chung, Audrey G., et al.. (2022). COVID-Net CXR-2: An Enhanced Deep Convolutional Neural Network Design for Detection of COVID-19 Cases From Chest X-ray Images. Frontiers in Medicine. 9. 861680–861680. 25 indexed citations
6.
Gunraj, Hayden, Ali Sabri, David Koff, & Alexander Wong. (2022). COVID-Net CT-2: Enhanced Deep Neural Networks for Detection of COVID-19 From Chest CT Images Through Bigger, More Diverse Learning. Frontiers in Medicine. 8. 729287–729287. 51 indexed citations
7.
Gunraj, Hayden, Linda Wang, & Alexander Wong. (2021). COVIDNet-CT: Detection of COVID-19 from Chest CT Images using a Tailored Deep Convolutional Neural Network Architecture. 6(1). 1–3. 1 indexed citations
8.
Ramanan, Venkat, Hayden Gunraj, Fumin Guo, et al.. (2021). Technical Note: Fully automatic segmental relaxometry (FASTR) for cardiac magnetic resonance T1 mapping. Medical Physics. 48(4). 1815–1822. 2 indexed citations
9.
Gunraj, Hayden, et al.. (2021). COVID-Net MLSys: Designing COVID-Net for the Clinical Workflow. 296. 1–5. 2 indexed citations
10.
Gunraj, Hayden, Linda Wang, & Alexander Wong. (2020). COVIDNet-CT: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases From Chest CT Images. Frontiers in Medicine. 7. 608525–608525. 203 indexed citations
11.
Wang, Linda, et al.. (2020). Radiomics Driven Diffusion Weighted Imaging Sensing Strategies for Zone-Level Prostate Cancer Sensing. Sensors. 20(5). 1539–1539. 12 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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