Khalaf Alshamrani

460 total citations
23 papers, 284 citations indexed

About

Khalaf Alshamrani is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Khalaf Alshamrani has authored 23 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Artificial Intelligence and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Khalaf Alshamrani's work include AI in cancer detection (5 papers), Brain Tumor Detection and Classification (4 papers) and Advanced Neural Network Applications (4 papers). Khalaf Alshamrani is often cited by papers focused on AI in cancer detection (5 papers), Brain Tumor Detection and Classification (4 papers) and Advanced Neural Network Applications (4 papers). Khalaf Alshamrani collaborates with scholars based in Saudi Arabia, Pakistan and United Kingdom. Khalaf Alshamrani's co-authors include Amaka C Offiah, Muhammad Irfan, Hassan A. Alshamrani, Abdullah A. Asiri, Sharifa Khalid Alduraibi, Mohammad Abd Alkhalik Basha, Yassir Edrees Almalki, Abdul Qayyum, Saifur Rahman and Adam Głowacz and has published in prestigious journals such as IEEE Access, Sensors and European Radiology.

In The Last Decade

Khalaf Alshamrani

19 papers receiving 271 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Khalaf Alshamrani Saudi Arabia 8 119 76 54 50 48 23 284
Fuk Tang Hong Kong 10 118 1.0× 34 0.4× 41 0.8× 15 0.3× 40 0.8× 33 313
Rafael T. Sousa Brazil 3 203 1.7× 65 0.9× 5 0.1× 117 2.3× 57 1.2× 8 335
Ryoungwoo Jang South Korea 7 214 1.8× 124 1.6× 21 0.4× 2 0.0× 51 1.1× 8 398
Yassir Edrees Almalki Saudi Arabia 8 136 1.1× 100 1.3× 62 1.1× 2 0.0× 50 1.0× 32 258
Kritsasith Warin Thailand 7 128 1.1× 157 2.1× 16 0.3× 5 0.1× 12 0.3× 19 351
Benjamin Hou United Kingdom 8 131 1.1× 111 1.5× 17 0.3× 5 0.1× 77 1.6× 16 310
Sharifa Khalid Alduraibi Saudi Arabia 7 118 1.0× 93 1.2× 54 1.0× 1 0.0× 42 0.9× 39 302
Ying-Chun Jheng Taiwan 11 192 1.6× 41 0.5× 38 0.7× 37 0.8× 23 345
Zhu Haisheng China 4 71 0.6× 48 0.6× 31 0.6× 3 0.1× 24 0.5× 7 194
Amir Alansary United States 9 119 1.0× 80 1.1× 23 0.4× 8 0.2× 121 2.5× 17 319

Countries citing papers authored by Khalaf Alshamrani

Since Specialization
Citations

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

Fields of papers citing papers by Khalaf Alshamrani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Khalaf Alshamrani

This figure shows the co-authorship network connecting the top 25 collaborators of Khalaf Alshamrani. A scholar is included among the top collaborators of Khalaf Alshamrani 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 Khalaf Alshamrani. Khalaf Alshamrani 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.
Alshamrani, Khalaf, et al.. (2024). Classification of Chest CT Lung Nodules Using Collaborative Deep Learning Model. Journal of Multidisciplinary Healthcare. Volume 17. 1459–1472. 5 indexed citations
2.
Alshamrani, Khalaf & Hassan A. Alshamrani. (2024). Lossless compression-based detection of osteoporosis using bone X-ray imaging. Journal of X-Ray Science and Technology. 32(2). 475–491.
3.
Alshamrani, Hassan A., Khalaf Alshamrani, Mamoon Rashid, & Sultan S. Alshamrani. (2024). A Secure Federated Learning Approach for Detecting COVID-19 from Medical Computed Tomography Images. Traitement du signal. 41(6). 2823–2838.
4.
Alshamrani, Khalaf, et al.. (2024). CNX-B2: A Novel CNN-Transformer Approach For Chest X-Ray Medical Report Generation. IEEE Access. 12. 26626–26635. 12 indexed citations
5.
Alshamrani, Khalaf. (2023). Radiographers’ knowledge and attitude toward informed consent. Acta bioethica. 29(1). 49–54.
6.
Alshamrani, Khalaf, et al.. (2022). Enhancement of Mammographic Images Using Histogram-Based Techniques for Their Classification Using CNN. Sensors. 23(1). 235–235. 5 indexed citations
7.
Alshamrani, Hassan A., et al.. (2022). Automated Estimation of Patient’s Size Using Autowed Tool and Indosect Program: A Dosimetric Study for Paediatric Head CT Examinations. Radiation Protection Dosimetry. 198(16). 1238–1243. 1 indexed citations
8.
Khan, Bilal, et al.. (2022). Investigating of Classification Algorithms for Heart Disease Risk Prediction. 1(1). 11–31. 7 indexed citations
9.
Asiri, Abdullah A., Javed Ferzund, Tariq Ali, et al.. (2022). A Novel Hybrid Machine Learning Approach for Classification of Brain Tumor Images. Computers, materials & continua/Computers, materials & continua (Print). 73(1). 641–655. 6 indexed citations
10.
Almalki, Yassir Edrees, Sharifa Khalid Alduraibi, Maryam Zaffar, et al.. (2022). LBP–Bilateral Based Feature Fusion for Breast Cancer Diagnosis. Computers, materials & continua/Computers, materials & continua (Print). 73(2). 4103–4121. 2 indexed citations
11.
Khan, Bilal, Abdullah A. Asiri, Fazal Muhammad, et al.. (2022). Heart Disease Risk Prediction Expending of Classification Algorithms. Computers, materials & continua/Computers, materials & continua (Print). 73(3). 6595–6616. 2 indexed citations
12.
Asiri, Abdullah A., Akhtar Badshah, Fazal Muhammad, et al.. (2022). Human Emotions Classification Using EEG via Audiovisual Stimuli and AI. Computers, materials & continua/Computers, materials & continua (Print). 73(3). 5075–5089. 4 indexed citations
13.
Asiri, Abdullah A., Bilal Khan, Fazal Muhammad, et al.. (2022). Machine Learning-Based Models for Magnetic Resonance Imaging (MRI)-Based Brain Tumor Classification. Intelligent Automation & Soft Computing. 36(1). 299–312. 17 indexed citations
14.
Almalki, Yassir Edrees, Ahmad Shaf, Tariq Ali, et al.. (2022). Breast Cancer Detection in Saudi Arabian Women Using Hybrid Machine Learning on Mammographic Images. Computers, materials & continua/Computers, materials & continua (Print). 72(3). 4833–4851. 6 indexed citations
15.
Muhammad, Fazal, Bilal Khan, Rashid Naseem, et al.. (2022). Liver Ailment Prediction Using Random Forest Model. Computers, materials & continua/Computers, materials & continua (Print). 74(1). 1049–1067. 6 indexed citations
16.
Almalki, Yassir Edrees, Abdul Qayyum, Muhammad Irfan, et al.. (2021). A Novel Method for COVID-19 Diagnosis Using Artificial Intelligence in Chest X-ray Images. Healthcare. 9(5). 522–522. 71 indexed citations
17.
Alshamrani, Khalaf & Amaka C Offiah. (2019). Applicability of two commonly used bone age assessment methods to twenty-first century UK children. European Radiology. 30(1). 504–513. 25 indexed citations
18.
Alshamrani, Khalaf, et al.. (2019). Applicability of two bone age assessment methods to children from Saudi Arabia. Clinical Radiology. 75(2). 156.e1–156.e9. 14 indexed citations
19.
Alshamrani, Khalaf & Amaka C Offiah. (2019). Applicability of the Tanner-Whitehouse 3 method to United Kingdom children born in the 21st century. Bone Abstracts. 1 indexed citations
20.
Alshamrani, Khalaf, et al.. (2018). Estimating bone mass in children: can bone health index replace dual energy x-ray absorptiometry?. Pediatric Radiology. 49(3). 372–378. 9 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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