Hina Raja

494 total citations
21 papers, 295 citations indexed

About

Hina Raja is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology and Biomedical Engineering. According to data from OpenAlex, Hina Raja has authored 21 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Ophthalmology and 5 papers in Biomedical Engineering. Recurrent topics in Hina Raja's work include Retinal Imaging and Analysis (18 papers), Glaucoma and retinal disorders (6 papers) and Retinal Diseases and Treatments (5 papers). Hina Raja is often cited by papers focused on Retinal Imaging and Analysis (18 papers), Glaucoma and retinal disorders (6 papers) and Retinal Diseases and Treatments (5 papers). Hina Raja collaborates with scholars based in United States, Pakistan and United Arab Emirates. Hina Raja's co-authors include Yeganeh Madadi, Mohammad Delsoz, Muhammad Usman Akram, Siamak Yousefi, Malik Y. Kahook, Barbara Wirostko, Sajid Gul Khawaja, Mohammad Soleimani, Ali R. Djalilian and Tehmina Khalil and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and American Journal of Ophthalmology.

In The Last Decade

Hina Raja

17 papers receiving 285 citations

Peers

Hina Raja

RNMI

OPHTH

CVPR

Jocelyn Hui Lin Goh Singapore

Cristina González-Gonzalo Netherlands

Zhi Wei Lim Singapore

Zhongwen Li China

Yeganeh Madadi United States

Geunyoung Lee Singapore

Mark A. Chia United Kingdom

Saad Khan United Kingdom

Jinyi Ho Singapore

Christopher Semturs United States

Jocelyn Hui Lin Goh Singapore

Hina Raja

198 ×0.9

RNMI

77 ×0.5

OPHTH

203 ×2.0

94 ×1.7

27 ×0.5

CVPR

Citations per year, relative to Hina Raja Hina Raja (= 1×) peers Jocelyn Hui Lin Goh

Countries citing papers authored by Hina Raja

Since Specialization

Citations

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

Fields of papers citing papers by Hina Raja

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hina Raja

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

All Works

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20 of 20 papers shown

Ghosh, Samit Kumar, et al.. (2025). Prediction of heart failure risk factors from retinal optical imaging via explainable machine learning. Frontiers in Medicine. 12. 1551557–1551557.

Jiao, Cheng, Mohammad Delsoz, Yeganeh Madadi, et al.. (2025). Diagnostic Performance of Publicly Available Large Language Models in Corneal Diseases: A Comparison with Human Specialists. Diagnostics. 15(10). 1221–1221. 5 indexed citations

Delsoz, Mohammad, Yeganeh Madadi, Hina Raja, et al.. (2024). Performance of ChatGPT in Diagnosis of Corneal Eye Diseases. Cornea. 43(5). 664–670. 47 indexed citations

Raja, Hina, Mohammad Delsoz, Yeganeh Madadi, et al.. (2024). Automated Category and Trend Analysis of Scientific Articles on Ophthalmology Using Large Language Models: Development and Usability Study. JMIR Formative Research. 8. e52462–e52462. 10 indexed citations

Huang, Xiaoqin, Hina Raja, Yeganeh Madadi, et al.. (2024). Predicting Glaucoma Before Onset Using a Large Language Model Chatbot. American Journal of Ophthalmology. 266. 289–299. 17 indexed citations

Raja, Hina, Xiaoqin Huang, Mohammad Delsoz, et al.. (2024). Diagnosing Glaucoma Based on the Ocular Hypertension Treatment Study Dataset Using Chat Generative Pre-Trained Transformer as a Large Language Model. SHILAP Revista de lepidopterología. 5(1). 100599–100599. 6 indexed citations

Hassan, Taimur, Hina Raja, Kais Belwafi, et al.. (2024). A Vision Language Correlation Framework for Screening Disabled Retina. IEEE Journal of Biomedical and Health Informatics. 29(2). 1283–1296.

Hassan, Bilal, Hina Raja, Taimur Hassan, et al.. (2024). A comprehensive review of artificial intelligence models for screening major retinal diseases. Artificial Intelligence Review. 57(5). 8 indexed citations

Delsoz, Mohammad, Hina Raja, Yeganeh Madadi, et al.. (2023). The Use of ChatGPT to Assist in Diagnosing Glaucoma Based on Clinical Case Reports. Ophthalmology and Therapy. 12(6). 3121–3132. 81 indexed citations

10.

Hassan, Taimur, et al.. (2023). Robust Nucleus Classification with Iterative Graph Representational Learning. 3414–3418. 1 indexed citations

11.

Raja, Hina, et al.. (2023). Contrastive Learning Driven Self-Supervised Framework for Segmentation of Biomarker of Diabetic Macular Edema. 1–6.

12.

Raja, Hina, Taimur Hassan, Bilal Hassan, et al.. (2022). A Review of Autonomous Glaucomatous Grading via OCT Imagery. 1–7.

13.

Hassan, Taimur, Hina Raja, Bilal Hassan, et al.. (2022). A Composite Retinal Fundus and OCT Dataset to Grade Macular and Glaucomatous Disorders. 1–6. 4 indexed citations

14.

Raja, Hina, et al.. (2022). Glaucoma Detection Using Optical Coherence Tomography Images: A Systematic Review of Clinical and Automated Studies. IETE Journal of Research. 69(11). 7958–7978. 21 indexed citations

15.

Raja, Hina, Muhammad Usman Akram, Arslan Shaukat, et al.. (2021). Correction to: Extraction of Retinal Layers Through Convolution Neural Network (CNN) in an OCT Image for Glaucoma Diagnosis. Journal of Digital Imaging. 34(4). 1072–1072. 1 indexed citations

16.

Raja, Hina, et al.. (2020). Data on OCT and fundus images for the detection of glaucoma. SHILAP Revista de lepidopterología. 29. 105342–105342. 21 indexed citations

17.

Raja, Hina, Muhammad Usman Akram, Arslan Shaukat, et al.. (2020). Extraction of Retinal Layers Through Convolution Neural Network (CNN) in an OCT Image for Glaucoma Diagnosis. Journal of Digital Imaging. 33(6). 1428–1442. 35 indexed citations

18.

Raja, Hina. (2020). Data on OCT and Fundus Images. Data Archiving and Networked Services (DANS). 2. 4 indexed citations

19.

Raja, Hina, et al.. (2019). A Framework for Extraction of Inner Limiting Membrane in High Speckle Noisy Images. 326–331. 2 indexed citations

20.

Khalil, Tehmina, et al.. (2018). Detection of Glaucoma Using Cup to Disc Ratio From Spectral Domain Optical Coherence Tomography Images. IEEE Access. 6. 4560–4576. 29 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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