Saeed Iqbal

814 total citations
42 papers, 425 citations indexed

About

Saeed Iqbal is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Saeed Iqbal has authored 42 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 15 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Saeed Iqbal's work include AI in cancer detection (14 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Brain Tumor Detection and Classification (8 papers). Saeed Iqbal is often cited by papers focused on AI in cancer detection (14 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Brain Tumor Detection and Classification (8 papers). Saeed Iqbal collaborates with scholars based in Pakistan, Saudi Arabia and United Kingdom. Saeed Iqbal's co-authors include Adnan N. Qureshi, Jianqiang Li, Tariq Mahmood, Khursheed Aurangzeb, Musaed Alhussein, Meikang Qiu, Peng Zhang, Muhammad Shahid Anwar, Arbab Waheed Ahmad and Naeem Jan and has published in prestigious journals such as Scientific Reports, Computers in Human Behavior and Expert Systems with Applications.

In The Last Decade

Saeed Iqbal

37 papers receiving 402 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Saeed Iqbal Pakistan 12 167 130 94 70 57 42 425
Ali Mehrabi Australia 7 208 1.2× 108 0.8× 112 1.2× 59 0.8× 28 0.5× 20 294
Diyar Qader Zeebaree Iraq 14 224 1.3× 108 0.8× 89 0.9× 108 1.5× 44 0.8× 23 508
Di Li China 9 85 0.5× 161 1.2× 191 2.0× 41 0.6× 17 0.3× 27 467
Seyyed Javad Seyyed Mahdavi Chabok Iran 11 136 0.8× 60 0.5× 125 1.3× 34 0.5× 139 2.4× 30 432
A. Harshavardhan India 11 112 0.7× 45 0.3× 62 0.7× 76 1.1× 31 0.5× 33 395
Seok-Bum Ko Canada 11 181 1.1× 145 1.1× 135 1.4× 147 2.1× 11 0.2× 30 464
Yousef Alhwaiti Saudi Arabia 10 141 0.8× 87 0.7× 100 1.1× 37 0.5× 34 0.6× 22 385
Mohd Usama China 10 249 1.5× 61 0.5× 97 1.0× 56 0.8× 38 0.7× 16 492
Maryam Kheirabadi Iran 8 120 0.7× 51 0.4× 143 1.5× 120 1.7× 134 2.4× 14 449
Jaytrilok Choudhary India 10 104 0.6× 74 0.6× 61 0.6× 39 0.6× 8 0.1× 44 427

Countries citing papers authored by Saeed Iqbal

Since Specialization
Citations

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

Fields of papers citing papers by Saeed Iqbal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saeed Iqbal

This figure shows the co-authorship network connecting the top 25 collaborators of Saeed Iqbal. A scholar is included among the top collaborators of Saeed Iqbal 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 Saeed Iqbal. Saeed Iqbal 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.
Iqbal, Saeed, et al.. (2025). FairBias: Mitigating bias in medical image diagnosis with mixed noise and class imbalance. Neurocomputing. 651. 130910–130910. 1 indexed citations
2.
Iqbal, Saeed, et al.. (2025). Core unlearning: A multi-modal gradient-efficient architecture for exact and approximate model rewriting. Information Processing & Management. 63(2). 104417–104417.
3.
Iqbal, Saeed, et al.. (2025). A Novel Reciprocal Domain Adaptation Neural Network for Enhanced Diagnosis of Chronic Kidney Disease. Expert Systems. 42(2). 5 indexed citations
4.
Iqbal, Saeed, et al.. (2025). Domain adaptive FL for edge-enabled privacy-preserving MRI analysis. Alexandria Engineering Journal. 128. 324–339.
5.
Iqbal, Saeed, et al.. (2025). Adaptive fuzzy convolution networks for uncertainty-aware image analysis in ambiguous environments. Expert Systems with Applications. 292. 128407–128407.
6.
Iqbal, Saeed, et al.. (2025). Continual and wisdom learning for federated learning: A comprehensive framework for robustness and debiasing. Information Processing & Management. 62(5). 104157–104157. 8 indexed citations
7.
Owais, Muhammad, et al.. (2024). Enhanced gastric cancer classification and quantification interpretable framework using digital histopathology images. Scientific Reports. 14(1). 22533–22533. 11 indexed citations
8.
Iqbal, Saeed, Adnan N. Qureshi, Khursheed Aurangzeb, et al.. (2024). Hybrid Parallel Fuzzy CNN Paradigm: Unmasking Intricacies for Accurate Brain MRI Insights. IEEE Transactions on Fuzzy Systems. 32(10). 5533–5544. 11 indexed citations
9.
Iqbal, Saeed, Adnan N. Qureshi, Khursheed Aurangzeb, et al.. (2024). Adaptive magnification network for precise tumor analysis in histopathological images. Computers in Human Behavior. 156. 108222–108222. 8 indexed citations
10.
Iqbal, Saeed, Adnan N. Qureshi, Faheem Khan, Khursheed Aurangzeb, & Muhammad Azeem Akbar. (2024). From Data to Diagnosis: Enhancing Radiology Reporting With Clinical Features Encoding and Cross-Modal Coherence. IEEE Access. 12. 127341–127356. 2 indexed citations
11.
Iqbal, Saeed, et al.. (2024). Transforming Lung Disease Diagnosis With Transfer Learning Using Chest X‐Ray Images on Cloud Computing. Expert Systems. 42(2). 6 indexed citations
12.
Iqbal, Saeed, Adnan N. Qureshi, Jianqiang Li, & Tariq Mahmood. (2023). On the Analyses of Medical Images Using Traditional Machine Learning Techniques and Convolutional Neural Networks. Archives of Computational Methods in Engineering. 30(5). 3173–3233. 80 indexed citations
13.
Iqbal, Saeed, Adnan N. Qureshi, Musaed Alhussein, Khursheed Aurangzeb, & Muhammad Shahid Anwar. (2023). AD-CAM: Enhancing Interpretability of Convolutional Neural Networks With a Lightweight Framework - From Black Box to Glass Box. IEEE Journal of Biomedical and Health Informatics. 28(1). 514–525. 17 indexed citations
14.
Iqbal, Saeed, et al.. (2023). Fusion of Textural and Visual Information for Medical Image Modality Retrieval Using Deep Learning-Based Feature Engineering. IEEE Access. 11. 93238–93253. 7 indexed citations
15.
Qureshi, Adnan N., et al.. (2023). Hybrid Diagnostic Model for Improved COVID-19 Detection in Lung Radiographs Using Deep and Traditional Features. Biomimetics. 8(5). 406–406. 3 indexed citations
16.
Iqbal, Saeed, et al.. (2023). Dynamic learning for imbalanced data in learning chest X-ray and CT images. Heliyon. 9(6). e16807–e16807. 23 indexed citations
17.
Iqbal, Saeed, Adnan N. Qureshi, Khursheed Aurangzeb, et al.. (2023). AMIAC: adaptive medical image analyzes and classification, a robust self-learning framework. Neural Computing and Applications. 37(25). 20451–20479. 19 indexed citations
18.
Iqbal, Saeed, Adnan N. Qureshi, Musaed Alhussein, Khursheed Aurangzeb, & Seifedine Kadry. (2023). A Novel Heteromorphous Convolutional Neural Network for Automated Assessment of Tumors in Colon and Lung Histopathology Images. Biomimetics. 8(4). 370–370. 15 indexed citations
19.
Iqbal, Saeed, Adnan N. Qureshi, Amin Ullah, Jianqiang Li, & Tariq Mahmood. (2022). Improving the Robustness and Quality of Biomedical CNN Models through Adaptive Hyperparameter Tuning. Applied Sciences. 12(22). 11870–11870. 23 indexed citations
20.
Iqbal, Saeed & Adnan N. Qureshi. (2022). A Heteromorphous Deep CNN Framework for Medical Image Segmentation Using Local Binary Pattern. IEEE Access. 10. 63466–63480. 16 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 Ali Mehrabi Breakdown of academic impact, for papers by Diyar Qader Zeebaree Breakdown of academic impact, for papers by Di Li Breakdown of academic impact, for papers by Seyyed Javad Seyyed Mahdavi Chabok Breakdown of academic impact, for papers by A. Harshavardhan Breakdown of academic impact, for papers by Seok-Bum Ko Breakdown of academic impact, for papers by Yousef Alhwaiti Breakdown of academic impact, for papers by Mohd Usama Breakdown of academic impact, for papers by Maryam Kheirabadi Breakdown of academic impact, for papers by Jaytrilok Choudhary
Rankless by CCL
2026