Mohammed Kayed

1.7k total citations · 1 hit paper
39 papers, 985 citations indexed

About

Mohammed Kayed is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Mohammed Kayed has authored 39 papers receiving a total of 985 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Information Systems, 15 papers in Artificial Intelligence and 10 papers in Computer Networks and Communications. Recurrent topics in Mohammed Kayed's work include Web Data Mining and Analysis (9 papers), Anomaly Detection Techniques and Applications (4 papers) and Energy Harvesting in Wireless Networks (3 papers). Mohammed Kayed is often cited by papers focused on Web Data Mining and Analysis (9 papers), Anomaly Detection Techniques and Applications (4 papers) and Energy Harvesting in Wireless Networks (3 papers). Mohammed Kayed collaborates with scholars based in Egypt, United Arab Emirates and Spain. Mohammed Kayed's co-authors include Chia‐Hui Chang, Moheb R. Girgis, Khaled Shaalan, Alhassan Mabrouk, Rebeca P. Dı́az Redondo, Ahmed M. Anter, Mohamed Abd Elaziz, Abdelghani Dahou, Ahmed A. Elngar and Abdelmgeid A. Ali and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Mohammed Kayed

33 papers receiving 893 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 Survey of Web Information Extraction Systems

2006 454 citations Chia‐Hui Chang, Mohammed Kayed et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mohammed Kayed Egypt	13	512	395	264	130	115	39	985
Justin Zhan United States	19	317 0.6×	669 1.7×	167 0.6×	179 1.4×	71 0.6×	69	1.1k
Tansel Özyer Türkiye	18	173 0.3×	386 1.0×	165 0.6×	208 1.6×	80 0.7×	86	904
Shikun Zhang China	16	224 0.4×	409 1.0×	111 0.4×	140 1.1×	37 0.3×	98	826
Zi Yang China	13	288 0.6×	444 1.1×	113 0.4×	120 0.9×	59 0.5×	34	1.1k
Yutao Ma China	22	1.1k 2.1×	452 1.1×	428 1.6×	119 0.9×	55 0.5×	78	1.4k
Muhammad Mostafa Monowar Saudi Arabia	21	182 0.4×	297 0.8×	318 1.2×	170 1.3×	69 0.6×	59	987
Jinan Fiaidhi Canada	16	209 0.4×	305 0.8×	155 0.6×	74 0.6×	45 0.4×	123	806
Divakar Yadav India	14	246 0.5×	532 1.3×	66 0.3×	237 1.8×	86 0.7×	108	1.0k
Umar Shoaib Pakistan	14	177 0.3×	262 0.7×	142 0.5×	66 0.5×	99 0.9×	40	602
Abdullah Yousafzai Pakistan	11	478 0.9×	198 0.5×	461 1.7×	80 0.6×	54 0.5×	21	830

Countries citing papers authored by Mohammed Kayed

Since Specialization

Citations

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

Fields of papers citing papers by Mohammed Kayed

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammed Kayed

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

Houssein, Essam H., et al.. (2025). Optimizing action recognition: a residual convolution with hierarchical and gram matrix based attention mechanisms. Journal Of Big Data. 12(1).

Kayed, Mohammed, et al.. (2025). Ulnar variance detection from radiographic images using deep learning. Journal Of Big Data. 12(1).

Sayed, Awny, et al.. (2025). Physics-guided deep learning for acoustic-based fault diagnosis. International Journal of Engine Research. 27(3). 337–352.

Elhoseny, Mohamed, et al.. (2025). Explainable deep learning approach for recognizing “Egyptian Cobra” bite in real-time. Journal of Intelligent Systems. 34(1). 1 indexed citations

Kayed, Mohammed, et al.. (2025). CNN filter sizes, effects, limitations, and challenges: An exploratory study. Network Computation in Neural Systems. 1–29. 1 indexed citations

Kayed, Mohammed, et al.. (2024). Speech Emotion Recognition in Multimodal Environments with Transformer: Arabic and English Audio Datasets. International Journal of Advanced Computer Science and Applications. 15(3).

Kayed, Mohammed, et al.. (2024). Temporal dynamics of user activities: deep learning strategies and mathematical modeling for long-term and short-term profiling. Scientific Reports. 14(1). 14498–14498.

Mabrouk, Alhassan, Rebeca P. Dı́az Redondo, Mohamed Abd Elaziz, & Mohammed Kayed. (2023). Ensemble Federated Learning: An approach for collaborative pneumonia diagnosis. Applied Soft Computing. 144. 110500–110500. 16 indexed citations

Kayed, Mohammed, et al.. (2023). Enhancing Question Pairs Identification with Ensemble Learning: Integrating Machine Learning and Deep Learning Models. International Journal of Advanced Computer Science and Applications. 14(11). 1 indexed citations

10.

Elmannai, Hela, et al.. (2023). Enhancing Fashion Classification with Vision Transformer (ViT) and Developing Recommendation Fashion Systems Using DINOVA2. Electronics. 12(20). 4263–4263. 8 indexed citations

11.

Kayed, Mohammed, et al.. (2023). Multiple Sign Language Identification Using Deep Learning Techniques. 1 indexed citations

12.

Elngar, Ahmed A., et al.. (2023). Blockchain-Enabled Security Framework for Enhancing IoT Networks: A Two-Layer Approach. International Journal of Advanced Computer Science and Applications. 14(10). 3 indexed citations

13.

Elhoseny, Mohamed, et al.. (2023). A novel and accurate deep learning-based Covid-19 diagnostic model for heart patients. Signal Image and Video Processing. 17(7). 3397–3404. 1 indexed citations

14.

Redondo, Rebeca P. Dı́az, et al.. (2023). Dental Age Estimation Using Deep Learning: A Comparative Survey. Computation. 11(2). 18–18. 21 indexed citations

15.

Elhoseny, Mohamed, et al.. (2023). Hierarchical cloud architecture for identifying the bite of “Egyptian cobra” based on deep learning and quantum particle swarm optimization. Scientific Reports. 13(1). 5250–5250. 3 indexed citations

16.

Anter, Ahmed M., et al.. (2020). A robust clustering approach for extending the lifetime of wireless sensor networks in an optimized manner with a novel fitness function. Sustainable Computing Informatics and Systems. 30. 100482–100482. 17 indexed citations

17.

Kayed, Mohammed, et al.. (2020). Classification of Garments from Fashion MNIST Dataset Using CNN LeNet-5 Architecture. 238–243. 78 indexed citations

18.

Panda, Sandeep Kumar, Ahmed A. Elngar, Valentina Emilia Bălaş, & Mohammed Kayed. (2020). Bitcoin and Blockchain. 4 indexed citations

19.

Kayed, Mohammed, et al.. (2019). Extending Lifetime of Wireless Sensor Networks by Distributing the Overload on Cluster Heads. 137–143. 1 indexed citations

20.

Chang, Chia‐Hui, et al.. (2012). FiVaTech2 : A Supervised Approach to Role Di erentiation for Web Data Extraction From Template Pages (人工知能学会全国大会(第26回)文化,科学技術と未来) -- (International Organized Session「Special Session on Web Intelligence & Data Mining」). 26. 1–9. 1 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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