Hamam Mokayed

680 total citations
40 papers, 281 citations indexed

About

Hamam Mokayed is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Hamam Mokayed has authored 40 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Hamam Mokayed's work include Handwritten Text Recognition Techniques (8 papers), AI in cancer detection (7 papers) and Advanced Neural Network Applications (7 papers). Hamam Mokayed is often cited by papers focused on Handwritten Text Recognition Techniques (8 papers), AI in cancer detection (7 papers) and Advanced Neural Network Applications (7 papers). Hamam Mokayed collaborates with scholars based in Sweden, Malaysia and India. Hamam Mokayed's co-authors include Yan Chai Hum, Marcus Liwicki, Khin Wee Lai, Wun‐She Yap, Yee Kai Tee, Palaiahnakote Shivakumara, Mathias Seuret, Jerker Delsing, Jan van Deventer and Umapada Pal and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

In The Last Decade

Hamam Mokayed

33 papers receiving 267 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hamam Mokayed Sweden	10	111	82	40	28	27	40	281
Deepika Ghai India	9	127 1.1×	101 1.2×	35 0.9×	35 1.3×	32 1.2×	26	389
Pakize Erdoğmuş Türkiye	11	85 0.8×	133 1.6×	26 0.7×	45 1.6×	42 1.6×	45	328
Zakria Zakria China	10	133 1.2×	110 1.3×	61 1.5×	27 1.0×	21 0.8×	21	314
Neeraj Mohan India	10	113 1.0×	59 0.7×	61 1.5×	66 2.4×	26 1.0×	30	348
Junliang Chen China	9	113 1.0×	111 1.4×	20 0.5×	22 0.8×	20 0.7×	30	273
Amjad Rehman Saudi Arabia	7	59 0.5×	83 1.0×	35 0.9×	23 0.8×	38 1.4×	20	263
Chenyan Zhang China	7	103 0.9×	77 0.9×	24 0.6×	22 0.8×	17 0.6×	14	299
Milan Tripathi Nepal	5	86 0.8×	78 1.0×	23 0.6×	20 0.7×	28 1.0×	7	248
Ngoc Tuyen Le Taiwan	8	127 1.1×	36 0.4×	36 0.9×	34 1.2×	17 0.6×	18	254
Rehab F. Abdel‐Kader Egypt	12	77 0.7×	102 1.2×	26 0.7×	30 1.1×	8 0.3×	32	300

Countries citing papers authored by Hamam Mokayed

Since Specialization

Citations

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

Fields of papers citing papers by Hamam Mokayed

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hamam Mokayed

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

Qi, Ke, Yan Chai Hum, Wun‐She Yap, et al.. (2025). Histopathological classification of colorectal cancer based on domain-specific transfer learning and multi-model feature fusion. Scientific Reports. 15(1). 35155–35155.

Mokayed, Hamam, et al.. (2025). Identifying quantum phase transitions with minimal prior knowledge by unsupervised learning. SciPost Physics Core. 8(1).

Arifin, Nooranida, et al.. (2025). A decade of machine learning in lithium-ion battery state estimation: a systematic review. Ionics. 31(3). 2351–2377. 3 indexed citations

Hum, Yan Chai, Yee Kai Tee, Wun‐She Yap, et al.. (2024). IMAML-IDCG: Optimization-based meta-learning with ImageNet feature reusing for few-shot invasive ductal carcinoma grading. Expert Systems with Applications. 257. 124969–124969. 3 indexed citations

Hum, Yan Chai, Yee Kai Tee, Wun‐She Yap, et al.. (2024). Trapezoidal Step Scheduler for Model-Agnostic Meta-Learning in Medical Imaging. Pattern Recognition. 161. 111316–111316. 1 indexed citations

Mokayed, Hamam, et al.. (2024). Automated transtibial prosthesis alignment: A systematic review. Artificial Intelligence in Medicine. 156. 102966–102966.

Mokayed, Hamam, et al.. (2024). Enhancing Object Detection in Snowy Conditions: Evaluating YOLO v9 Models with Augmentation Techniques. 198–203. 6 indexed citations

Kumar, Rakesh, et al.. (2024). SignEEG v1.0: Multimodal Dataset with Electroencephalography and Hand-written Signature for Biometric Systems. Scientific Data. 11(1). 718–718. 2 indexed citations

Mokayed, Hamam, et al.. (2024). AI4EDU: AN INNOVATIVE CONVERSATIONAL AI ASSISTANT FOR TEACHING AND LEARNING. INTED proceedings. 1. 7119–7127. 6 indexed citations

10.

Mokayed, Hamam, et al.. (2024). Fractional B-Spline Wavelets and U-Net Architecture for Robust and Reliable Vehicle Detection in Snowy Conditions. Sensors. 24(12). 3938–3938. 1 indexed citations

11.

Sandin, Fredrik, et al.. (2023). Deep Ontology Alignment Using a Natural Language Processing Approach for Automatic M2M Translation in IIoT. Sensors. 23(20). 8427–8427. 2 indexed citations

12.

Hum, Yan Chai, Yee Kai Tee, Wun‐She Yap, et al.. (2023). Evaluating the effectiveness of stain normalization techniques in automated grading of invasive ductal carcinoma histopathological images. Scientific Reports. 13(1). 20518–20518. 15 indexed citations

13.

Mokayed, Hamam, et al.. (2023). Study of AI-Driven Fashion Recommender Systems. SN Computer Science. 4(5). 12 indexed citations

14.

Mokayed, Hamam, et al.. (2022). License Plate Number Detection in Drone Images. KTH Publication Database DiVA (KTH Royal Institute of Technology). 3(1). 1–9. 6 indexed citations

15.

Hum, Yan Chai, Yee Kai Tee, Wun‐She Yap, et al.. (2022). Performance analysis of seven Convolutional Neural Networks (CNNs) with transfer learning for Invasive Ductal Carcinoma (IDC) grading in breast histopathological images. Scientific Reports. 12(1). 19200–19200. 27 indexed citations

16.

Mokayed, Hamam, et al.. (2021). Intelligent Fault Diagnosis of Gears Based on Deep Learning Feature Extraction and Particle Swarm Support Vector Machine State Recognition. Journal of Intelligent Systems and Internet of Things. 26–40. 7 indexed citations

17.

Mokayed, Hamam, et al.. (2021). Detecting In-Vehicle Attacks with Deep Learning: An Applied Approach. 8(2). 60–68. 1 indexed citations

18.

Mokayed, Hamam, et al.. (2020). An Efficient Machine Learning based Cervical Cancer Detection and Classification. 58–67. 4 indexed citations

19.

Mokayed, Hamam, Palaiahnakote Shivakumara, Marcus Liwicki, & Umapada Pal. (2020). A New Defect Detection Method for Improving Text Detection and Recognition Performances in Natural Scene Images. 1–7.

20.

Khalid, Marzuki, Rubiyah Yusof, & Hamam Mokayed. (2011). Fusion of multi-classifiers for online signature verification using fuzzy logic inference. International journal of innovative computing, information & control. 7. 2709–2726. 7 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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