Imran Qureshi

1.7k total citations · 2 hit papers
40 papers, 1.1k citations indexed

About

Imran Qureshi is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Imran Qureshi has authored 40 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiology, Nuclear Medicine and Imaging, 15 papers in Ophthalmology and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Imran Qureshi's work include Retinal Imaging and Analysis (16 papers), Digital Imaging for Blood Diseases (8 papers) and Biometric Identification and Security (8 papers). Imran Qureshi is often cited by papers focused on Retinal Imaging and Analysis (16 papers), Digital Imaging for Blood Diseases (8 papers) and Biometric Identification and Security (8 papers). Imran Qureshi collaborates with scholars based in Saudi Arabia, Pakistan and China. Imran Qureshi's co-authors include Qaisar Abbas, Kashif Shaheed, Jun Ma, Aihua Mao, Munish Kumar, Xingming Zhang, Sumaira Hussain, Piotr Szczuko, Inam Ullah and Junhua Yan and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Sensors.

In The Last Decade

Imran Qureshi

39 papers receiving 1.1k citations

Hit Papers

Medical image segmentation using deep semantic-based meth... 2021 2026 2022 2024 2022 2021 50 100 150
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.

  1. Medical image segmentation using deep semantic-based methods: A review of techniques, applications and emerging trends
    2022 171 citations Imran Qureshi, Junhua Yan et al. Information Fusion profile →
  2. Diabetic retinopathy detection and stage classification in eye fundus images using active deep learning
    2021 125 citations Imran Qureshi, Jun Ma et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Imran Qureshi Saudi Arabia 16 460 449 257 237 160 40 1.1k
Kashif Shaheed China 15 207 0.5× 348 0.8× 247 1.0× 61 0.3× 178 1.1× 26 832
Yung‐Hui Li Taiwan 15 137 0.3× 349 0.8× 250 1.0× 64 0.3× 137 0.9× 93 975
Marriam Nawaz Pakistan 23 325 0.7× 661 1.5× 68 0.3× 100 0.4× 547 3.4× 49 1.8k
Fatma Taher United Arab Emirates 21 483 1.1× 297 0.7× 101 0.4× 45 0.2× 464 2.9× 110 1.3k
Momina Masood Pakistan 21 216 0.5× 574 1.3× 63 0.2× 46 0.2× 407 2.5× 31 1.4k
Edmar Rezende Brazil 7 138 0.3× 209 0.5× 86 0.3× 56 0.2× 130 0.8× 8 497
Ali Mohammad Alqudah Jordan 21 415 0.9× 242 0.5× 84 0.3× 79 0.3× 418 2.6× 64 1.2k
Ahmed Sedik Egypt 16 275 0.6× 404 0.9× 138 0.5× 14 0.1× 292 1.8× 56 1.1k
Muhammad Almas Anjum Pakistan 20 431 0.9× 834 1.9× 78 0.3× 60 0.3× 564 3.5× 55 1.5k
Abdul Rahaman Wahab Sait Saudi Arabia 12 269 0.6× 143 0.3× 16 0.1× 109 0.5× 123 0.8× 65 601

Countries citing papers authored by Imran Qureshi

Since Specialization
Citations

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

Fields of papers citing papers by Imran Qureshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Imran Qureshi

This figure shows the co-authorship network connecting the top 25 collaborators of Imran Qureshi. A scholar is included among the top collaborators of Imran Qureshi 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 Imran Qureshi. Imran Qureshi 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.
2.
Qureshi, Imran, et al.. (2024). Multi Factor Authentication System. 8. 1–5.
3.
4.
Abbas, Qaisar, et al.. (2023). A Residual-Dense-Based Convolutional Neural Network Architecture for Recognition of Cardiac Health Based on ECG Signals. Sensors. 23(16). 7204–7204. 4 indexed citations
5.
Abbas, Qaisar, et al.. (2023). Biometric-Based Human Identification Using Ensemble-Based Technique and ECG Signals. Applied Sciences. 13(16). 9454–9454. 11 indexed citations
6.
Youssef, Ayman, et al.. (2023). DR-NASNet: Automated System to Detect and Classify Diabetic Retinopathy Severity Using Improved Pretrained NASNet Model. Diagnostics. 13(16). 2645–2645. 12 indexed citations
7.
Shaheed, Kashif, Qaisar Abbas, Ayyaz Hussain, & Imran Qureshi. (2023). Optimized Xception Learning Model and XgBoost Classifier for Detection of Multiclass Chest Disease from X-ray Images. Diagnostics. 13(15). 2583–2583. 10 indexed citations
8.
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Faisal, C. M. Nadeem, et al.. (2023). Recognition of Student Engagement State in a Classroom Environment Using Deep and Efficient Transfer Learning Algorithm. Applied Sciences. 13(15). 8637–8637. 7 indexed citations
10.
Khan, Nauman Ali, et al.. (2023). RDS-DR: An Improved Deep Learning Model for Classifying Severity Levels of Diabetic Retinopathy. Diagnostics. 13(19). 3116–3116. 5 indexed citations
11.
Arif, Fahim, et al.. (2023). MixNet-LD: An Automated Classification System for Multiple Lung Diseases Using Modified MixNet Model. Diagnostics. 13(20). 3195–3195. 3 indexed citations
12.
13.
Hussain, Muhammad, et al.. (2022). SCREENING OF LACTIC ACID BACTERIA FROM SELECTED SAUDI HONEY PRODUCED BY APIS MELLIFERA JEMENTICA. The Journal of Animal and Plant Sciences. 33(2). 249–263. 3 indexed citations
14.
Qureshi, Imran, Junhua Yan, Qaisar Abbas, et al.. (2022). Medical image segmentation using deep semantic-based methods: A review of techniques, applications and emerging trends. Information Fusion. 90. 316–352. 171 indexed citations breakdown →
15.
Shaheed, Kashif, Aihua Mao, Imran Qureshi, et al.. (2021). A Systematic Review on Physiological-Based Biometric Recognition Systems: Current and Future Trends. Archives of Computational Methods in Engineering. 28(7). 4917–4960. 52 indexed citations
16.
Ullah, Inam, Muwei Jian, Sumaira Hussain, et al.. (2021). Global context-aware multi-scale features aggregative network for salient object detection. Neurocomputing. 455. 139–153. 21 indexed citations
17.
Naqvi, Atta Abbas, et al.. (2019). Development and validation of a novel rheumatoid arthritis knowledge assessment scale in Pakistani patients with rheumatoid arthritis. International Journal of Rheumatic Diseases. 22(11). 2031–2044. 7 indexed citations
18.
Qureshi, Imran, Jun Ma, & Kashif Shaheed. (2019). A Hybrid Proposed Fundus Image Enhancement Framework for Diabetic Retinopathy. Algorithms. 12(1). 14–14. 43 indexed citations
19.
Qureshi, Imran. (2015). Glaucoma Detection in Retinal Images Using Image Processing Techniques: A Survey. 16 indexed citations
20.
Khan, Shahid & Imran Qureshi. (2010). Impact of Promotion on Students’ Enrollment: A Case of Private Schools in Pakistan. International Journal of Marketing Studies. 2(2). 8 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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