Huma Naz

632 total citations
22 papers, 379 citations indexed

About

Huma Naz is a scholar working on Health Information Management, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Huma Naz has authored 22 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Health Information Management, 8 papers in Artificial Intelligence and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Huma Naz's work include Artificial Intelligence in Healthcare (9 papers), Retinal Imaging and Analysis (8 papers) and Imbalanced Data Classification Techniques (5 papers). Huma Naz is often cited by papers focused on Artificial Intelligence in Healthcare (9 papers), Retinal Imaging and Analysis (8 papers) and Imbalanced Data Classification Techniques (5 papers). Huma Naz collaborates with scholars based in India, Saudi Arabia and Pakistan. Huma Naz's co-authors include Sachin Ahuja, Abdül Waheed, William S. Sly, Md. Imtaiyaz Hassan, Asimul Islam, Neelu Jyothi Ahuja, Faizan Ahmad, Deepak Kumar, Amjad Rehman and Tanzila Saba and has published in prestigious journals such as Scientific Reports, IEEE Access and Artificial Intelligence Review.

In The Last Decade

Huma Naz

18 papers receiving 352 citations

Peers

Huma Naz

HIM

RNMI

CAM

Shahid Mohammad Ganie India

Ashok Kumar Dwivedi India

Dehui Yin China

Abid Sarwar India

Liping Tu China

Dhananjay Bisen India

Mitra Montazeri Iran

Umme Laila Pakistan

B. B. Tiwari India

Ji Cui China

Shahid Mohammad Ganie India

Huma Naz

193 ×0.8

HIM

160 ×0.9

39 ×0.5

RNMI

15 ×0.3

CAM

15 ×0.4

Citations per year, relative to Huma Naz Huma Naz (= 1×) peers Shahid Mohammad Ganie

Countries citing papers authored by Huma Naz

Since Specialization

Citations

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

Fields of papers citing papers by Huma Naz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huma Naz

This figure shows the co-authorship network connecting the top 25 collaborators of Huma Naz. A scholar is included among the top collaborators of Huma Naz 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 Huma Naz. Huma Naz 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

Naz, Huma, et al.. (2025). Modified passive anti-islanding scheme with dual indices and u-transform-based state estimation. Electric Power Systems Research. 247. 111858–111858. 1 indexed citations

Puri, P., et al.. (2025). Multi-modal deep learning framework for early detection of Parkinson’s disease using neurological and physiological data for high-fidelity diagnosis. Scientific Reports. 15(1). 34835–34835. 1 indexed citations

Naz, Huma, et al.. (2024). Diabetic retinopathy detection using supervised and unsupervised deep learning: a review study. Artificial Intelligence Review. 57(5). 7 indexed citations

Naz, Huma, et al.. (2024). Clinical utility of handheld fundus and smartphone-based camera for monitoring diabetic retinal diseases: a review study. International Ophthalmology. 44(1). 41–41. 6 indexed citations

Naz, Huma & Neelu Jyothi Ahuja. (2024). A novel contrast enhancement technique for diabetic retinal image pre-processing and classification. International Ophthalmology. 45(1). 11–11. 1 indexed citations

Naz, Huma, et al.. (2024). Racioethnic disparities in comorbidities and outcomes following head and neck oncologic surgery. World Journal of Otorhinolaryngology - Head and Neck Surgery. 11(1). 74–85.

Naz, Huma & Neelu Jyothi Ahuja. (2024). RetinaCare: Diabetic Retinopathy Detection with VGG16-based Web Application. 1–6.

Ahuja, Neelu Jyothi, et al.. (2024). A Deep Learning-Based Framework for the Detection of Big-4 Snakes. 1–6.

Naz, Huma, Rahul Nijhawan, Neelu Jyothi Ahuja, et al.. (2023). Ensembled Deep Convolutional Generative Adversarial Network for Grading Imbalanced Diabetic Retinopathy Recognition. IEEE Access. 11. 120554–120568. 8 indexed citations

10.

Naz, Huma, et al.. (2023). Micro‐segmentation of retinal image lesions in diabetic retinopathy using energy‐based fuzzy C‐Means clustering (EFM‐FCM). Microscopy Research and Technique. 87(1). 78–94. 3 indexed citations

11.

Naz, Huma, et al.. (2022). An automated unsupervised deep learning–based approach for diabetic retinopathy detection. Medical & Biological Engineering & Computing. 60(12). 3635–3654. 11 indexed citations

12.

Naz, Huma, Rahul Nijhawan, & Neelu Jyothi Ahuja. (2022). DT-DL Based Hybrid Approach for Early Detection of Diabetes Using PIMA Dataset. 2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO). 13. 1–6. 2 indexed citations

13.

Naz, Huma & Sachin Ahuja. (2021). SMOTE-SMO-based expert system for type II diabetes detection using PIMA dataset. International Journal of Diabetes in Developing Countries. 42(2). 245–253. 10 indexed citations

14.

Hamid, Abu Bakar Abdul, et al.. (2021). Emerging Requirement Engineering Models: Identifying Challenges is Important and Providing Solutions is Even Better. International Journal of Advanced Computer Science and Applications. 12(11). 2 indexed citations

15.

Naz, Huma, et al.. (2021). DT-FNN based effective hybrid classification scheme for twitter sentiment analysis. Multimedia Tools and Applications. 80(8). 11443–11458. 15 indexed citations

16.

Naz, Huma & Sachin Ahuja. (2020). Deep learning approach for diabetes prediction using PIMA Indian dataset. Journal of Diabetes & Metabolic Disorders. 19(1). 391–403. 200 indexed citations

17.

Naz, Huma, et al.. (2020). Multilayer perceptron based deep neural network for early detection of coronary heart disease. Health and Technology. 11(1). 127–138. 31 indexed citations

18.

Naz, Huma & Sachin Ahuja. (2020). Latest trends in emotion recognition methods: case study on emotiw challenge. 10(46). 34–50. 6 indexed citations

19.

Naz, Huma, et al.. (2017). Renal Clearance and Urinary Excretion of Roxithromycin in Healthy AdultFemale Subjects. European Journal of Experimental Biology. 5(1). 77–84.

20.

Ahmad, Faizan, et al.. (2016). Designing of Novel Inhibitors of Mycobacterium Tuberculosis H37Rv by Pharmacophore based Drug Designing and its Evaluation. International Journal of Current Research and Academic Review. 4(9). 59–70. 1 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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