Yashbir Singh

1.1k total citations
52 papers, 592 citations indexed

About

Yashbir Singh is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Health Informatics. According to data from OpenAlex, Yashbir Singh has authored 52 papers receiving a total of 592 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Biomedical Engineering and 10 papers in Health Informatics. Recurrent topics in Yashbir Singh's work include Artificial Intelligence in Healthcare and Education (10 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Cell Image Analysis Techniques (7 papers). Yashbir Singh is often cited by papers focused on Artificial Intelligence in Healthcare and Education (10 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Cell Image Analysis Techniques (7 papers). Yashbir Singh collaborates with scholars based in United States, United Arab Emirates and Taiwan. Yashbir Singh's co-authors include Bradley J. Erickson, Wathiq Mansoor, Shadi Atalla, Yassine Himeur, Shahriar Faghani, Pouria Rouzrokh, Mana Moassefi, Bardia Khosravi, Dag Øivind Madsen and Faiza Farhat and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and American Journal of Neuroradiology.

In The Last Decade

Yashbir Singh

45 papers receiving 578 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yashbir Singh United States 11 238 165 162 98 40 52 592
Rayan Krishnan United States 3 123 0.5× 157 1.0× 64 0.4× 43 0.4× 64 1.6× 3 385
Farhad Maleki Canada 14 170 0.7× 121 0.7× 78 0.5× 63 0.6× 58 1.4× 48 737
Bas H. M. van der Velden Netherlands 11 501 2.1× 438 2.7× 167 1.0× 71 0.7× 94 2.4× 27 972
Saeed Seyyedi Germany 5 226 0.9× 205 1.2× 76 0.5× 73 0.7× 45 1.1× 12 503
Paul Desbordes France 9 285 1.2× 142 0.9× 57 0.4× 71 0.7× 41 1.0× 13 534
Sarthak Pati United States 11 443 1.9× 585 3.5× 166 1.0× 115 1.2× 96 2.4× 27 1.1k
Mohammad Amin Morid United States 12 182 0.8× 293 1.8× 81 0.5× 125 1.3× 85 2.1× 20 774
Zhanhao Mo China 13 436 1.8× 271 1.6× 98 0.6× 49 0.5× 103 2.6× 28 805
Micah Sheller United States 5 338 1.4× 749 4.5× 215 1.3× 68 0.7× 78 1.9× 7 1.1k
Claudia Mazo Ireland 9 159 0.7× 332 2.0× 170 1.0× 25 0.3× 48 1.2× 21 624

Countries citing papers authored by Yashbir Singh

Since Specialization
Citations

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

Fields of papers citing papers by Yashbir Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yashbir Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Yashbir Singh. A scholar is included among the top collaborators of Yashbir Singh 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 Yashbir Singh. Yashbir Singh 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.
Singh, Yashbir, Jesper B. Andersen, Quincy A. Hathaway, et al.. (2025). Leveraging Multimodal Foundation Models in Biliary Tract Cancer Research. Tomography. 11(9). 96–96. 1 indexed citations
2.
Singh, Yashbir, et al.. (2025). Beyond Single Systems: How Multi-Agent AI Is Reshaping Ethics in Radiology. Bioengineering. 12(10). 1100–1100. 2 indexed citations
3.
Singh, Yashbir & Emilio Quaia. (2025). Unraveling the Invisible: Topological Data Analysis as the New Frontier in Radiology’s Diagnostic Arsenal. Tomography. 11(1). 6–6. 1 indexed citations
4.
Singh, Yashbir, Quincy A. Hathaway, Bradley J. Erickson, et al.. (2025). Topological Data Analysis in the Assessment of Coronary Atherosclerosis: A Comprehensive Narrative Review. PubMed. 3(2). 100199–100199. 1 indexed citations
5.
Singh, Yashbir, John E. Eaton, Sudhakar K. Venkatesh, & Bradley J. Erickson. (2024). Computed tomography-based radiomics and body composition model for predicting hepatic decompensation. Oncotarget. 15(1). 809–813.
6.
7.
Singh, Yashbir, Diana V. Vera-Garcia, Yassine Himeur, et al.. (2024). Analyzing classification and feature selection strategies for diabetes prediction across diverse diabetes datasets. Frontiers in Artificial Intelligence. 7. 1421751–1421751. 10 indexed citations
8.
9.
Singh, Yashbir, Shahriar Faghani, John E. Eaton, Sudhakar K. Venkatesh, & Bradley J. Erickson. (2024). Deep Learning–Based Prediction of Hepatic Decompensation in Patients With Primary Sclerosing Cholangitis With Computed Tomography. SHILAP Revista de lepidopterología. 2(3). 470–476.
10.
Singh, Yashbir, et al.. (2024). A novel multi-task machine learning classifier for rare disease patterning using cardiac strain imaging data. Scientific Reports. 14(1). 10672–10672. 6 indexed citations
11.
Moassefi, Mana, Yashbir Singh, Gian Marco Conte, et al.. (2024). Checklist for Reproducibility of Deep Learning in Medical Imaging. Journal of Imaging Informatics in Medicine. 37(4). 1664–1673. 6 indexed citations
12.
Singh, Yashbir, Quincy A. Hathaway, Tim Leiner, et al.. (2023). Topological data analysis in medical imaging: current state of the art. Insights into Imaging. 14(1). 58–58. 40 indexed citations
13.
Singh, Yashbir, Quincy A. Hathaway, Ashok Choudhary, et al.. (2023). The Role of Geometry in Convolutional Neural Networks for Medical Imaging. SHILAP Revista de lepidopterología. 1(4). 519–526. 10 indexed citations
14.
Singh, Yashbir, et al.. (2023). Predictors of Pathological Gastroesophageal Reflux among Emirati Patients with Reflux Symptoms Who Undergo Wireless pH Monitoring. Middle East Journal of Digestive Diseases. 15(4). 242–248.
15.
Singh, Yashbir, et al.. (2023). To predict the left ventricular endocardial scar tissue pattern using Radon descriptor-based machine learning. BMC Research Notes. 16(1). 2 indexed citations
16.
Sohail, Shahab Saquib, Faiza Farhat, Yassine Himeur, et al.. (2023). The Future of GPT: A Taxonomy of Existing ChatGPT Research, Current Challenges, and Possible Future Directions. SSRN Electronic Journal. 39 indexed citations
17.
Dixit, Shriniket, Yashbir Singh, Yassine Himeur, et al.. (2023). A Comprehensive Review on AI-Enabled Models for Parkinson’s Disease Diagnosis. Electronics. 12(4). 783–783. 40 indexed citations
18.
Rouzrokh, Pouria, Bardia Khosravi, Shahriar Faghani, et al.. (2022). Mitigating Bias in Radiology Machine Learning: 1. Data Handling. Radiology Artificial Intelligence. 4(5). e210290–e210290. 81 indexed citations
19.
Faghani, Shahriar, Bardia Khosravi, Mana Moassefi, et al.. (2022). Mitigating Bias in Radiology Machine Learning: 3. Performance Metrics. Radiology Artificial Intelligence. 4(5). e220061–e220061. 63 indexed citations
20.
Khosravi, Bardia, Shahriar Faghani, Fred Nugen, et al.. (2022). Mitigating Bias in Radiology Machine Learning: 2. Model Development. Radiology Artificial Intelligence. 4(5). e220010–e220010. 59 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Rayan Krishnan Breakdown of academic impact, for papers by Farhad Maleki Breakdown of academic impact, for papers by Bas H. M. van der Velden Breakdown of academic impact, for papers by Saeed Seyyedi Breakdown of academic impact, for papers by Paul Desbordes Breakdown of academic impact, for papers by Sarthak Pati Breakdown of academic impact, for papers by Mohammad Amin Morid Breakdown of academic impact, for papers by Zhanhao Mo Breakdown of academic impact, for papers by Micah Sheller Breakdown of academic impact, for papers by Claudia Mazo
Rankless by CCL
2026