Asif Karim

3.5k total citations · 3 hit papers
81 papers, 2.1k citations indexed

About

Asif Karim is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Information Systems. According to data from OpenAlex, Asif Karim has authored 81 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 16 papers in Radiology, Nuclear Medicine and Imaging and 14 papers in Information Systems. Recurrent topics in Asif Karim's work include Artificial Intelligence in Healthcare (12 papers), AI in cancer detection (12 papers) and COVID-19 diagnosis using AI (10 papers). Asif Karim is often cited by papers focused on Artificial Intelligence in Healthcare (12 papers), AI in cancer detection (12 papers) and COVID-19 diagnosis using AI (10 papers). Asif Karim collaborates with scholars based in Australia, Bangladesh and Canada. Asif Karim's co-authors include Sami Azam, F. M. Javed Mehedi Shamrat, Bharanidharan Shanmugam, Friso De Boer, Mirjam Jonkman, Pronab Ghosh, Krishnan Kannoorpatti, Md. Zahid Hasan, Sidratul Montaha and Eva Ignatious and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Asif Karim

75 papers receiving 2.0k 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.

Efficient Prediction of Cardiovascular Disease Using Machine Learning Algorithms With Relief and LASSO Feature Selection Techniques

2021 322 citations Pronab Ghosh, Sami Azam et al. profile →
High-precision multiclass classification of lung disease through customized MobileNetV2 from chest X-ray images

2023 106 citations F. M. Javed Mehedi Shamrat, Sami Azam et al. profile →
AlzheimerNet: An Effective Deep Learning Based Proposition for Alzheimer’s Disease Stages Classification From Functional Brain Changes in Magnetic Resonance Images

2023 101 citations F. M. Javed Mehedi Shamrat, Sami Azam et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Asif Karim Australia	24	910	536	380	333	286	81	2.1k
Damodar Reddy Edla India	29	959 1.1×	418 0.8×	285 0.8×	274 0.8×	453 1.6×	166	2.8k
Romany F. Mansour Egypt	29	1.1k 1.2×	642 1.2×	243 0.6×	272 0.8×	503 1.8×	128	2.8k
Muazzam Maqsood Pakistan	29	913 1.0×	330 0.6×	258 0.7×	210 0.6×	414 1.4×	84	2.6k
Amin Ul Haq China	25	1.1k 1.2×	501 0.9×	913 2.4×	413 1.2×	266 0.9×	106	2.7k
Mohamed Hammad Egypt	28	822 0.9×	463 0.9×	139 0.4×	343 1.0×	347 1.2×	78	2.8k
Hafiz Tayyab Rauf United Kingdom	35	1.0k 1.1×	620 1.2×	97 0.3×	269 0.8×	266 0.9×	121	2.9k
Tamer Abuhmed South Korea	25	1.2k 1.3×	310 0.6×	273 0.7×	275 0.8×	205 0.7×	83	2.4k
Friso De Boer Australia	20	464 0.5×	359 0.7×	295 0.8×	155 0.5×	155 0.5×	69	1.5k
Md. Ashraf Uddin Bangladesh	27	959 1.1×	343 0.6×	210 0.6×	744 2.2×	783 2.7×	131	2.5k
Chiranji Lal Chowdhary India	21	821 0.9×	410 0.8×	141 0.4×	229 0.7×	431 1.5×	56	1.9k

Countries citing papers authored by Asif Karim

Since Specialization

Citations

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

Fields of papers citing papers by Asif Karim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Asif Karim

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

Azam, Sami, Asif Karim, Sidratul Montaha, et al.. (2025). ECgMLP: A novel gated MLP model for enhanced endometrial cancer diagnosis. SHILAP Revista de lepidopterología. 7. 100181–100181. 8 indexed citations

Karim, Asif, et al.. (2025). A Low Complexity Efficient Deep Learning Model for Automated Retinal Disease Diagnosis. PubMed. 9(1). 1–40. 2 indexed citations

Karim, Asif, et al.. (2025). An automated privacy-preserving self-supervised classification of COVID-19 from lung CT scan images minimizing the requirements of large data annotation. Scientific Reports. 15(1). 226–226. 6 indexed citations

Kumari, Shalini, Chander Prabha, Asif Karim, Md. Mehedi Hassan, & Sami Azam. (2024). A Comprehensive Investigation of Anomaly Detection Methods in Deep Learning and Machine Learning: 2019–2023. IET Information Security. 2024(1). 6 indexed citations

Raihan, M., Sami Azam, Laboni Akter, et al.. (2024). Risk Factors Categorizations of Ischemic Heart Disease in South-Western Bangladesh. Data Intelligence. 6(3). 834–868. 1 indexed citations

Mahmud, Abdullah Al, Sami Azam, Sidratul Montaha, et al.. (2024). SkinNet-14: a deep learning framework for accurate skin cancer classification using low-resolution dermoscopy images with optimized training time. Neural Computing and Applications. 36(30). 18935–18959. 8 indexed citations

Prabha, Chander, et al.. (2024). Advanced beamforming and reflection control in intelligent reflecting surfaces with integrated channel estimation. IET Microwaves Antennas & Propagation. 18(12). 917–931.

Zhou, Lei, et al.. (2024). An image quality assessment method based on edge extraction and singular value for blurriness. Machine Vision and Applications. 35(3).

Azam, Sami, Mohaimenul Azam Khan Raiaan, Kaniz Fatema, et al.. (2024). Reimagining otitis media diagnosis: A fusion of nested U-Net segmentation with graph theory-inspired feature set. Array. 23. 100362–100362. 1 indexed citations

10.

Montaha, Sidratul, Sami Azam, A. K. M. Rakibul Haque Rafid, Md. Zahid Hasan, & Asif Karim. (2023). Brain Tumor Segmentation from 3D MRI Scans Using U-Net. SN Computer Science. 4(4). 21 indexed citations

11.

Azam, Sami, et al.. (2023). Automated breast tumor ultrasound image segmentation with hybrid UNet and classification using fine-tuned CNN model. Heliyon. 9(11). e21369–e21369. 21 indexed citations

12.

Hasib, Khan Md., Sami Azam, Asif Karim, et al.. (2023). A novel Data and Model Centric artificial intelligence based approach in developing high-performance Named Entity Recognition for Bengali Language. PLoS ONE. 18(9). e0287818–e0287818. 7 indexed citations

13.

Hasib, Khan Md., et al.. (2023). Bengali News Abstractive Summarization: T5 Transformer and Hybrid Approach. 21. 539–545. 3 indexed citations

14.

Fatema, Kaniz, Sami Azam, Md. Saddam Hossain Mukta, et al.. (2023). Development of an automated optimal distance feature-based decision system for diagnosing knee osteoarthritis using segmented X-ray images. Heliyon. 9(11). e21703–e21703. 13 indexed citations

15.

Azam, Sami, Sidratul Montaha, A. K. M. Rakibul Haque Rafid, et al.. (2023). An Automated Broncho-Arterial (BA) Pair Segmentation Process and Assessment of BA Ratios in Children with Bronchiectasis Using Lung HRCT Scans: A Pilot Study. Biomedicines. 11(7). 1874–1874. 2 indexed citations

16.

Sharif, Muhammad Imran, et al.. (2023). Analysis of Diabetic Retinopathy (DR) Based on the Deep Learning. Information. 14(1). 30–30. 37 indexed citations

17.

Ghosh, Pronab, Sami Azam, Asif Karim, et al.. (2022). SkinNet-16: A deep learning approach to identify benign and malignant skin lesions. Frontiers in Oncology. 12. 931141–931141. 37 indexed citations

18.

Montaha, Sidratul, Sami Azam, A. K. M. Rakibul Haque Rafid, et al.. (2022). MNet-10: A robust shallow convolutional neural network model performing ablation study on medical images assessing the effectiveness of applying optimal data augmentation technique. Frontiers in Medicine. 9. 924979–924979. 28 indexed citations

19.

Karim, Asif, et al.. (2021). Chronic Renal Disease Prediction using Clinical Data and Different Machine Learning Techniques. Trepo - Institutional Repository of Tampere University. 1–5. 3 indexed citations

20.

Karim, Asif. (2017). Multi-layer Masking of Character Data with a Visual Image Key. International Journal of Computer Network and Information Security. 9(10). 41–49. 3 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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