Assif Assad

1.1k total citations · 1 hit paper
43 papers, 660 citations indexed

About

Assif Assad is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Assif Assad has authored 43 papers receiving a total of 660 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 11 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Molecular Biology. Recurrent topics in Assif Assad's work include AI in cancer detection (9 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Smart Agriculture and AI (4 papers). Assif Assad is often cited by papers focused on AI in cancer detection (9 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Smart Agriculture and AI (4 papers). Assif Assad collaborates with scholars based in India, Qatar and South Korea. Assif Assad's co-authors include Kusum Deep, Nusrat Mohi Ud Din, Rayees Ahmad Dar, Hossein Moayedi, Shubham Gupta, Loke Kok Foong, Rakesh Kumar Meena, Madhu Jain, B.N. Dar and Mandeep Singh and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and Applied Mathematics and Computation.

In The Last Decade

Assif Assad

39 papers receiving 634 citations

Hit Papers

Breast cancer detection using deep learning: Datasets, me... 2022 2026 2023 2024 2022 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. Breast cancer detection using deep learning: Datasets, methods, and challenges ahead
    2022 192 citations Nusrat Mohi Ud Din, Rayees Ahmad Dar 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 Career Trend Papers Cites
Assif Assad India 11 303 139 85 75 57 43 660
Munish Khanna India 21 300 1.0× 415 3.0× 272 3.2× 32 0.4× 79 1.4× 42 905
Pengfei Guo China 14 167 0.6× 148 1.1× 105 1.2× 37 0.5× 36 0.6× 39 707
Helong Yu China 16 370 1.2× 48 0.3× 106 1.2× 147 2.0× 16 0.3× 39 755
Law Kumar Singh India 22 303 1.0× 457 3.3× 296 3.5× 29 0.4× 84 1.5× 44 926
Hanaa Salem Egypt 15 344 1.1× 107 0.8× 95 1.1× 12 0.2× 29 0.5× 40 872
Heba G. Mohamed Saudi Arabia 17 147 0.5× 35 0.3× 165 1.9× 29 0.4× 51 0.9× 73 695
André Luis Debiaso Rossi Brazil 11 361 1.2× 31 0.2× 100 1.2× 45 0.6× 18 0.3× 32 720
K. Ganesan India 17 138 0.5× 66 0.5× 309 3.6× 47 0.6× 19 0.3× 49 700
Xiaojia Ye China 13 525 1.7× 50 0.4× 95 1.1× 155 2.1× 16 0.3× 15 855

Countries citing papers authored by Assif Assad

Since Specialization
Citations

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

Fields of papers citing papers by Assif Assad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Assif Assad

This figure shows the co-authorship network connecting the top 25 collaborators of Assif Assad. A scholar is included among the top collaborators of Assif Assad 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 Assif Assad. Assif Assad 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.
Assad, Assif, et al.. (2025). RNAS-sgRNA: Recurrent Neural Architecture Search for Detection of On-Target Effects in Single Guide RNA. Journal of Computational Biology. 32(11). 1041–1059. 1 indexed citations
2.
Macha, Muzafar A., et al.. (2025). Machine learning and deep learning for genomic data: a data-centric approach to CRISPR/Cas9 gene editing. International Journal of Data Science and Analytics. 20(6). 5037–5066. 4 indexed citations
3.
Assad, Assif, et al.. (2025). Advances in Deep Learning for Head and Neck Cancer: Datasets and Applied Methods. 15(1). 1 indexed citations
4.
Masoodi, Tariq, et al.. (2025). Explainable AI-driven prediction of APE1 inhibitors: enhancing cancer therapy with machine learning models and feature importance analysis. Molecular Diversity. 29(4). 3371–3390. 4 indexed citations
5.
Masoodi, Tariq, et al.. (2025). Radiogenomics and machine learning predict oncogenic signaling pathways in glioblastoma. Journal of Translational Medicine. 23(1). 121–121. 9 indexed citations
6.
Assad, Assif, et al.. (2024). Assessing glioma grading with self-attention: comparative analysis of the diagnostic potential of different MRI sequences. International Journal of Systems Assurance Engineering and Management. 2 indexed citations
7.
Din, Nusrat Mohi Ud, et al.. (2024). Optimizing deep reinforcement learning in data-scarce domains: a cross-domain evaluation of double DQN and dueling DQN. International Journal of Systems Assurance Engineering and Management. 7 indexed citations
8.
Assad, Assif, et al.. (2024). A novel approach in cancer diagnosis: integrating holography microscopic medical imaging and deep learning techniques—challenges and future trends. Biomedical Physics & Engineering Express. 11(2). 22002–22002. 7 indexed citations
9.
Assad, Assif, et al.. (2024). Alzheimer’s disease diagnosis using deep learning techniques: datasets, challenges, research gaps and future directions. International Journal of Systems Assurance Engineering and Management. 6 indexed citations
10.
Muzaffar, Khalid, et al.. (2024). Deep learning hyperspectral imaging: a rapid and reliable alternative to conventional techniques in the testing of food quality and safety. Quality Assurance and Safety of Crops & Foods. 16(1). 78–97. 31 indexed citations
11.
Assad, Assif, et al.. (2024). From scratch or pretrained? An in-depth analysis of deep learning approaches with limited data. International Journal of Systems Assurance Engineering and Management. 1 indexed citations
12.
Masoodi, Tariq, Ajaz A. Bhat, Ammira S. Al-Shabeeb Akil, et al.. (2024). Deep learning-based identification of esophageal cancer subtypes through analysis of high-resolution histopathology images. Frontiers in Molecular Biosciences. 11. 1346242–1346242. 1 indexed citations
13.
Assad, Assif, et al.. (2024). A review of deep learning algorithms for modeling drug interactions. Multimedia Systems. 30(3). 2 indexed citations
14.
Din, Nusrat Mohi Ud, et al.. (2023). RiceNet: A deep convolutional neural network approach for classification of rice varieties. Expert Systems with Applications. 235. 121214–121214. 28 indexed citations
15.
Assad, Assif, et al.. (2023). Apple diseases: detection and classification using transfer learning. Quality Assurance and Safety of Crops & Foods. 15(SP1). 27–37. 20 indexed citations
16.
17.
Din, Nusrat Mohi Ud, et al.. (2022). Breast cancer detection using deep learning: Datasets, methods, and challenges ahead. Computers in Biology and Medicine. 149. 106073–106073. 192 indexed citations breakdown →
18.
Meena, Rakesh Kumar, et al.. (2022). Performance and cost comparative analysis for M/G/1 repairable machining system with N-policy vacation. Mathematics and Computers in Simulation. 200. 315–328. 19 indexed citations
19.
Gupta, Shubham, Kusum Deep, Hossein Moayedi, Loke Kok Foong, & Assif Assad. (2020). Sine cosine grey wolf optimizer to solve engineering design problems. Engineering With Computers. 37(4). 3123–3149. 81 indexed citations
20.

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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