Asaf Raza

627 total citations · 1 hit paper
6 papers, 387 citations indexed

About

Asaf Raza is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and General Dentistry. According to data from OpenAlex, Asaf Raza has authored 6 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Radiology, Nuclear Medicine and Imaging and 1 paper in General Dentistry. Recurrent topics in Asaf Raza's work include Radiomics and Machine Learning in Medical Imaging (3 papers), COVID-19 diagnosis using AI (2 papers) and Privacy-Preserving Technologies in Data (2 papers). Asaf Raza is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), COVID-19 diagnosis using AI (2 papers) and Privacy-Preserving Technologies in Data (2 papers). Asaf Raza collaborates with scholars based in Saudi Arabia, Pakistan and Italy. Asaf Raza's co-authors include Javed Ali Khan, Ijaz Ahmad, Naeem Ullah, Danish Javeed, Habib Hamam, Ahmed S. Salama, Ateeq Ur Rehman, Yousef Ibrahim Daradkeh, Antonella Guzzo and Wahab Khan and has published in prestigious journals such as IEEE Access, Applied Sciences and Computer Methods and Programs in Biomedicine.

In The Last Decade

Asaf Raza

6 papers receiving 374 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.

A Hybrid Deep Learning-Based Approach for Brain Tumor Classification

2022 202 citations Asaf Raza, Javed Ali Khan et al. Electronics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Asaf Raza Saudi Arabia	6	188	170	153	133	57	6	387
Asma Naseer Pakistan	12	106 0.6×	163 1.0×	123 0.8×	61 0.5×	25 0.4×	26	376
Hareem Kibriya Pakistan	10	136 0.7×	116 0.7×	138 0.9×	43 0.3×	83 1.5×	15	337
Yehualashet Megersa Ayano Ethiopia	8	93 0.5×	73 0.4×	87 0.6×	50 0.4×	34 0.6×	10	279
Emrah Irmak Türkiye	9	256 1.4×	186 1.1×	251 1.6×	196 1.5×	8 0.1×	14	475
Jue Wu China	5	206 1.1×	132 0.8×	165 1.1×	67 0.5×	7 0.1×	18	308
Saif Ur Rehman Khan China	13	134 0.7×	136 0.8×	106 0.7×	112 0.8×	6 0.1×	31	363
T. M. Shahriar Sazzad Bangladesh	5	167 0.9×	104 0.6×	138 0.9×	56 0.4×	13 0.2×	20	249
Bala Venkateswarlu Isunuri India	8	270 1.4×	145 0.9×	268 1.8×	107 0.8×	6 0.1×	16	407
Mohan Bhandari Nepal	9	62 0.3×	138 0.8×	80 0.5×	133 1.0×	47 0.8×	16	366
Vuong M. Ngo Vietnam	8	36 0.2×	73 0.4×	56 0.4×	105 0.8×	42 0.7×	30	273

Countries citing papers authored by Asaf Raza

Since Specialization

Citations

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

Fields of papers citing papers by Asaf Raza

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Asaf Raza

This figure shows the co-authorship network connecting the top 25 collaborators of Asaf Raza. A scholar is included among the top collaborators of Asaf Raza 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 Asaf Raza. Asaf Raza is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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6 of 6 papers shown

1.

Raza, Asaf, Antonella Guzzo, Michele Ianni, et al.. (2025). Federated Learning in radiomics: A comprehensive meta-survey on medical image analysis. Computer Methods and Programs in Biomedicine. 267. 108768–108768. 7 indexed citations

2.

Raza, Asaf, Antonella Guzzo, & Giancarlo Fortino. (2023). Federated Learning for Medical Images Analysis: A Meta Survey. 531–536. 5 indexed citations

3.

Raza, Asaf, Naeem Ullah, Javed Ali Khan, et al.. (2023). DeepBreastCancerNet: A Novel Deep Learning Model for Breast Cancer Detection Using Ultrasound Images. Applied Sciences. 13(4). 2082–2082. 65 indexed citations

4.

Ullah, Naeem, Javed Ali Khan, Sultan Almakdi, et al.. (2022). A Novel CovidDetNet Deep Learning Model for Effective COVID-19 Infection Detection Using Chest Radiograph Images. Applied Sciences. 12(12). 6269–6269. 34 indexed citations

5.

Ullah, Naeem, et al.. (2022). An Efficient Approach for Crops Pests Recognition and Classification Based on Novel DeepPestNet Deep Learning Model. IEEE Access. 10. 73019–73032. 74 indexed citations

6.

Raza, Asaf, Javed Ali Khan, Ijaz Ahmad, et al.. (2022). A Hybrid Deep Learning-Based Approach for Brain Tumor Classification. Electronics. 11(7). 1146–1146. 202 indexed citations breakdown →

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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