Azhar Imran

2.5k total citations · 1 hit paper
75 papers, 1.3k citations indexed

About

Azhar Imran is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Networks and Communications. According to data from OpenAlex, Azhar Imran has authored 75 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 24 papers in Radiology, Nuclear Medicine and Imaging and 17 papers in Computer Networks and Communications. Recurrent topics in Azhar Imran's work include Retinal Imaging and Analysis (13 papers), Digital Imaging for Blood Diseases (11 papers) and AI in cancer detection (10 papers). Azhar Imran is often cited by papers focused on Retinal Imaging and Analysis (13 papers), Digital Imaging for Blood Diseases (11 papers) and AI in cancer detection (10 papers). Azhar Imran collaborates with scholars based in Pakistan, China and Saudi Arabia. Azhar Imran's co-authors include Jianqiang Li, Jahanzaib Latif, Shanshan Tu, Faheem Akhtar, Abdulkareem Alzahrani, Yan Pei, Chuangbai Xiao, Anas Bilal, Abdullah Almuhaimeed and Guangmin Sun and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Azhar Imran

68 papers receiving 1.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

ResViT FusionNet Model: An explainable AI-driven approach for automated grading of diabetic retinopathy in retinal images

2025 14 citations Azhar Imran et al. Computers in Biology and Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Azhar Imran Pakistan	21	573	447	310	205	177	75	1.3k
Norah Saleh Alghamdi Saudi Arabia	21	363 0.6×	438 1.0×	236 0.8×	92 0.4×	172 1.0×	106	1.3k
S. K. Lakshmanaprabu India	16	236 0.4×	314 0.7×	269 0.9×	93 0.5×	237 1.3×	33	1.1k
Ji‐Jiang Yang China	23	723 1.3×	476 1.1×	529 1.7×	495 2.4×	153 0.9×	75	1.7k
Hammam Alshazly Egypt	24	359 0.6×	405 0.9×	419 1.4×	39 0.2×	165 0.9×	40	1.3k
Diyar Qader Zeebaree Iraq	14	308 0.5×	646 1.4×	360 1.2×	33 0.2×	113 0.6×	25	1.3k
Tahira Nazir Pakistan	23	475 0.8×	453 1.0×	488 1.6×	196 1.0×	28 0.2×	53	1.5k
Aun Irtaza Pakistan	27	362 0.6×	789 1.8×	1.2k 4.0×	119 0.6×	81 0.5×	101	2.5k
Anupam Kumar Bairagi Bangladesh	25	427 0.7×	539 1.2×	240 0.8×	48 0.2×	600 3.4×	70	2.0k
Atef Zaguia Saudi Arabia	19	184 0.3×	326 0.7×	245 0.8×	41 0.2×	179 1.0×	51	1.2k
T R Mahesh India	21	309 0.5×	529 1.2×	235 0.8×	19 0.1×	124 0.7×	163	1.4k

Countries citing papers authored by Azhar Imran

Since Specialization

Citations

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

Fields of papers citing papers by Azhar Imran

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Azhar Imran

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

Imran, Azhar, et al.. (2025). ResViT FusionNet Model: An explainable AI-driven approach for automated grading of diabetic retinopathy in retinal images. Computers in Biology and Medicine. 186. 109656–109656. 14 indexed citations breakdown →

Rehman, Saif Ur, et al.. (2025). Energy-Efficient Internet of Things-Based Wireless Sensor Network for Autonomous Data Validation for Environmental Monitoring. Computer Systems Science and Engineering. 49(1). 185–212. 1 indexed citations

Imran, Azhar, et al.. (2025). AI-driven educational transformation in ICT: Improving adaptability, sentiment, and academic performance with advanced machine learning. PLoS ONE. 20(5). e0317519–e0317519.

Bilal, Anas, Azhar Imran, Xiaowen Liu, et al.. (2024). BC-QNet: A quantum-infused ELM model for breast cancer diagnosis. Computers in Biology and Medicine. 175. 108483–108483. 31 indexed citations

Imran, Azhar, et al.. (2024). A Systematic Review on Fundus Image-Based Diabetic Retinopathy Detection and Grading: Current Status and Future Directions. IEEE Access. 12. 96273–96303. 10 indexed citations

Sun, Guangmin, et al.. (2024). A novel fusion of genetic grey wolf optimization and kernel extreme learning machines for precise diabetic eye disease classification. PLoS ONE. 19(5). e0303094–e0303094. 8 indexed citations

Bilal, Anas, et al.. (2024). Breast cancer diagnosis using support vector machine optimized by improved quantum inspired grey wolf optimization. Scientific Reports. 14(1). 10714–10714. 48 indexed citations

Hashmi, Muhammad Usman, et al.. (2024). Resource-Limited Skew Estimation and Correction (RLSEC) for Edge Devices in Delay Non-Tolerant Networks. IEEE Access. 12. 159597–159610.

Saleem, Shahzad, et al.. (2024). Detection and isolation of wormhole nodes in wireless ad hoc networks based on post-wormhole actions. Scientific Reports. 14(1). 3428–3428. 4 indexed citations

10.

Imran, Azhar, et al.. (2024). Graph Based COVID-19 Detection Using Conditional Generative Adversarial Network. IEEE Access. 1–1. 1 indexed citations

11.

Rehman, Saif Ur, et al.. (2023). Computer-Aided Early Melanoma Brain-Tumor Detection Using Deep-Learning Approach. Biomedicines. 11(1). 184–184. 36 indexed citations

12.

Fang, Xianwen, et al.. (2023). Analysis of Birth Data using Ensemble Modeling Techniques. Applied Artificial Intelligence. 37(1). 4 indexed citations

13.

Imran, Azhar, et al.. (2023). Twitter Sentimental Analysis using Machine Learning Approaches for SemeVal Dataset. 1–6.

14.

Rehman, Saif Ur, Asif Nawaz, Tariq Ali, et al.. (2023). Aspect-Based Sentiment Analysis for Social Multimedia: A Hybrid Computational Framework. Computer Systems Science and Engineering. 46(2). 2415–2428. 8 indexed citations

15.

Alheeti, Khattab M. Ali, et al.. (2023). Cloud Intrusion Detection System Based on SVM. International Journal of Interactive Mobile Technologies (iJIM). 17(11). 101–114. 4 indexed citations

16.

Imran, Azhar, et al.. (2022). Skin Cancer Detection Using Combined Decision of Deep Learners. IEEE Access. 10. 118198–118212. 69 indexed citations

17.

Iqbal, Zahid, et al.. (2022). Denial of Service (DoS) Defences against Adversarial Attacks in IoT Smart Home Networks using Machine Learning Methods. SHILAP Revista de lepidopterología. 15(1). 18–25. 3 indexed citations

18.

Rehman, Saif Ur, et al.. (2022). A Deep Convolutional Neural Network for the Early Detection of Heart Disease. Biomedicines. 10(11). 2796–2796. 48 indexed citations

19.

Akhtar, Faheem, et al.. (2019). Diagnosis and Prediction of Large-for-Gestational-Age Fetus Using the Stacked Generalization Method. Applied Sciences. 9(20). 4317–4317. 19 indexed citations

20.

Imran, Azhar, et al.. (2018). An Enhanced Approach for Quantitative Prediction of Personality in Facebook Posts. International Journal of Education and Management Engineering. 8(2). 8–19. 10 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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