Hiam Alquran

1.3k total citations
71 papers, 816 citations indexed

About

Hiam Alquran is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hiam Alquran has authored 71 papers receiving a total of 816 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 25 papers in Radiology, Nuclear Medicine and Imaging and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hiam Alquran's work include AI in cancer detection (30 papers), Radiomics and Machine Learning in Medical Imaging (14 papers) and Cervical Cancer and HPV Research (9 papers). Hiam Alquran is often cited by papers focused on AI in cancer detection (30 papers), Radiomics and Machine Learning in Medical Imaging (14 papers) and Cervical Cancer and HPV Research (9 papers). Hiam Alquran collaborates with scholars based in Jordan, Malaysia and Iraq. Hiam Alquran's co-authors include Isam Abu‐Qasmieh, Ali Mohammad Alqudah, Wan Azani Mustafa, Yazan Al-Issa, Amin Alqudah, Ahmad Rasdan Ismail, Ahmed Alkhayyat, Waleed Khalid Al‐Azzawi, Nor Hazlyna Harun and Amjed Al Fahoum and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Applied Sciences.

In The Last Decade

Hiam Alquran

67 papers receiving 770 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hiam Alquran Jordan 15 358 257 131 127 122 71 816
Isam Abu‐Qasmieh Jordan 13 226 0.6× 178 0.7× 79 0.6× 103 0.8× 135 1.1× 39 604
Ali Mohammad Alqudah Jordan 21 418 1.2× 415 1.6× 106 0.8× 227 1.8× 162 1.3× 64 1.2k
Carson Lam United States 13 275 0.8× 606 2.4× 172 1.3× 33 0.3× 38 0.3× 25 1.1k
Mohammed Yusuf Ansari Qatar 13 164 0.5× 251 1.0× 46 0.4× 77 0.6× 20 0.2× 21 696
Zhanhao Mo China 13 271 0.8× 436 1.7× 85 0.6× 30 0.2× 19 0.2× 28 805
Jintai Chen China 14 267 0.7× 165 0.6× 21 0.2× 45 0.4× 48 0.4× 38 701
Mustafa Elattar Egypt 10 117 0.3× 148 0.6× 72 0.5× 131 1.0× 76 0.6× 34 449
Julien Abinahed Qatar 19 156 0.4× 257 1.0× 39 0.3× 67 0.5× 37 0.3× 51 967
Haoyuan Chen China 14 506 1.4× 327 1.3× 77 0.6× 13 0.1× 110 0.9× 25 813
Md Shahin Ali Bangladesh 15 462 1.3× 165 0.6× 187 1.4× 17 0.1× 248 2.0× 25 900

Countries citing papers authored by Hiam Alquran

Since Specialization
Citations

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

Fields of papers citing papers by Hiam Alquran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiam Alquran

This figure shows the co-authorship network connecting the top 25 collaborators of Hiam Alquran. A scholar is included among the top collaborators of Hiam Alquran 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 Hiam Alquran. Hiam Alquran 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.
2.
Abu‐Qasmieh, Isam, et al.. (2024). Recognition of autism in subcortical brain volumetric images using autoencoding-based region selection method and Siamese Convolutional Neural Network. International Journal of Medical Informatics. 194. 105707–105707. 1 indexed citations
3.
Mustafa, Wan Azani, et al.. (2024). Nucleus Cell Segmentation on Pap Smear Image Using Bradley Modification Algorithm. Neural Network World. 34(1). 37–51. 1 indexed citations
4.
Alquran, Hiam, et al.. (2024). Improved Brain Tumor Segmentation in MR Images with a Modified U-Net. Applied Sciences. 14(15). 6504–6504. 2 indexed citations
5.
Mustafa, Wan Azani, Haniza Yazid, Hiam Alquran, Yazan Al-Issa, & Syahrul Nizam Junaini. (2024). Significant effect of image contrast enhancement on weld defect detection. PLoS ONE. 19(6). e0306010–e0306010. 1 indexed citations
6.
Alquran, Hiam, et al.. (2023). Liver Tumor Decision Support System on Human Magnetic Resonance Images: A Comparative Study. Computer Systems Science and Engineering. 46(2). 1653–1671. 1 indexed citations
7.
Alquran, Hiam, et al.. (2023). Advanced Time-Frequency Methods for ECG Waves Recognition. Diagnostics. 13(2). 308–308. 11 indexed citations
8.
Abu‐Qasmieh, Isam, et al.. (2023). CT-based generation of synthetic-pseudo MR images with different weightings for human knee. Computers in Biology and Medicine. 169. 107842–107842. 1 indexed citations
9.
Mustafa, Wan Azani, et al.. (2023). A review of detection and classification cervical cell images. AIP conference proceedings. 2848. 20061–20061. 1 indexed citations
10.
Abu‐Qasmieh, Isam, et al.. (2023). An Innovative Bispectral Deep Learning Method for Protein Family Classification. Computers, materials & continua/Computers, materials & continua (Print). 75(2). 3971–3991. 9 indexed citations
11.
Alquran, Hiam, et al.. (2023). On the Need for Healthcare Informatics Training among Medical Doctors in Jordan: A Pilot Study. Informatics. 10(2). 35–35. 1 indexed citations
12.
Mustafa, Wan Azani, et al.. (2023). Contrast enhancement on pap smear cell images: A comparison. AIP conference proceedings. 2848. 20060–20060. 1 indexed citations
13.
Alquran, Hiam, et al.. (2023). H. pylori Related Atrophic Gastritis Detection Using Enhanced Convolution Neural Network (CNN) Learner. Diagnostics. 13(3). 336–336. 7 indexed citations
14.
Alquran, Hiam, et al.. (2023). Automated Heart Diseases Detection Using Machine Learning Approach. 108–114. 1 indexed citations
15.
Alquran, Hiam, et al.. (2022). Detection of Polycystic Ovary Syndrome (PCOS) Using Machine Learning Algorithms. 532–536. 27 indexed citations
16.
Mustafa, Wan Azani, et al.. (2022). Endometrial Cell Images Segmentation: A Comparative Study. Proceedings of International Conference on Artificial Life and Robotics. 27. 990–995. 1 indexed citations
17.
Alquran, Hiam, et al.. (2022). LiverNet: Diagnosis of Liver Tumors in Human CT Images. Applied Sciences. 12(11). 5501–5501. 15 indexed citations
18.
Mustafa, Wan Azani, et al.. (2022). Edge Enhancement and Detection Approach on Cervical Cytology Images. Journal of Advanced Research in Applied Sciences and Engineering Technology. 28(1). 44–55. 10 indexed citations
19.
Harun, Nor Hazlyna, et al.. (2021). Classification of Heart Disease using Artificial Neural Network. Journal of Physics Conference Series. 1997(1). 12022–12022. 7 indexed citations
20.
Alquran, Hiam, et al.. (2017). The melanoma skin cancer detection and classification using support vector machine. 1–5. 124 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 Isam Abu‐Qasmieh Breakdown of academic impact, for papers by Ali Mohammad Alqudah Breakdown of academic impact, for papers by Carson Lam Breakdown of academic impact, for papers by Mohammed Yusuf Ansari Breakdown of academic impact, for papers by Zhanhao Mo Breakdown of academic impact, for papers by Jintai Chen Breakdown of academic impact, for papers by Mustafa Elattar Breakdown of academic impact, for papers by Julien Abinahed Breakdown of academic impact, for papers by Haoyuan Chen Breakdown of academic impact, for papers by Md Shahin Ali
Rankless by CCL
2026