Mohammed Assiri

956 total citations
67 papers, 465 citations indexed

About

Mohammed Assiri is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Mohammed Assiri has authored 67 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 16 papers in Electrical and Electronic Engineering and 11 papers in Computer Networks and Communications. Recurrent topics in Mohammed Assiri's work include Perovskite Materials and Applications (5 papers), Conducting polymers and applications (5 papers) and AI in cancer detection (5 papers). Mohammed Assiri is often cited by papers focused on Perovskite Materials and Applications (5 papers), Conducting polymers and applications (5 papers) and AI in cancer detection (5 papers). Mohammed Assiri collaborates with scholars based in Saudi Arabia, Egypt and South Korea. Mohammed Assiri's co-authors include Mamoona Humayun, Mashael M. Asiri, Faiz Abdullah Alotaibi, Nuha Alruwais, Ghadah Aldehim, Erdi Akman, Ganesh Koyyada, Abdullah Mohamed, Fahmid Kabir and Marwa Obayya and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Nano Energy.

In The Last Decade

Mohammed Assiri

58 papers receiving 440 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mohammed Assiri Saudi Arabia	12	140	94	85	53	46	67	465
Chang Soo Kim South Korea	9	223 1.6×	54 0.6×	106 1.2×	47 0.9×	29 0.6×	33	526
Guoxiang Tong China	11	89 0.6×	107 1.1×	39 0.5×	25 0.5×	34 0.7×	39	359
Wei Bai China	12	131 0.9×	78 0.8×	67 0.8×	25 0.5×	18 0.4×	54	325
Jie Dong China	10	61 0.4×	98 1.0×	92 1.1×	48 0.9×	109 2.4×	31	441
Yogendra Kumar Jain India	11	143 1.0×	130 1.4×	118 1.4×	20 0.4×	89 1.9×	61	574
Yu Yang China	14	132 0.9×	87 0.9×	85 1.0×	34 0.6×	24 0.5×	82	677
Zhi Cai China	13	159 1.1×	89 0.9×	113 1.3×	64 1.2×	89 1.9×	77	605
Kang Li China	11	94 0.7×	142 1.5×	78 0.9×	45 0.8×	83 1.8×	58	409
Yanbo Wu China	13	201 1.4×	45 0.5×	94 1.1×	17 0.3×	78 1.7×	62	504
Muhammad Ubale Kiru Malaysia	4	109 0.8×	125 1.3×	42 0.5×	16 0.3×	32 0.7×	5	478

Countries citing papers authored by Mohammed Assiri

Since Specialization

Citations

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

Fields of papers citing papers by Mohammed Assiri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammed Assiri

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

Zarrouk, A., et al.. (2025). Nanomaterial-based smart coatings for sustainable corrosion protection in harsh marine environments: Advances in environmental management and durability. Inorganic Chemistry Communications. 176. 114280–114280. 3 indexed citations

Assiri, Mohammed, et al.. (2025). Enhancing Arabic text-to-speech synthesis for emotional expression in visually impaired individuals using the artificial hummingbird and hybrid deep learning model. Alexandria Engineering Journal. 119. 493–502. 1 indexed citations

Elahi, Ehsan, Muhammad Farooq Khan, Jamal Aziz, et al.. (2025). Emerging avalanche field-effect transistors based on two-dimensional semiconductor materials and their sensory applications. Journal of Materials Chemistry C. 13(31). 15767–15795. 3 indexed citations

Alim, Md. Abdul, et al.. (2025). Mechanical and morphological analysis of natural fiber-reinforced epoxy and polyester hybrid composites. Results in Engineering. 26. 105010–105010. 10 indexed citations

Assiri, Mohammed, et al.. (2024). Risk of malignancy and the use of disease-modifying therapy in multiple sclerosis: exploring the role of DMT in a multi-center study. Frontiers in Neurology. 15. 1492678–1492678. 1 indexed citations

Assiri, Mohammed. (2024). Robust malicious software detection and classification using global whale optimization algorithm with deep learning approach. Scientific Reports. 14(1). 25383–25383. 1 indexed citations

Almuqren, Latifah, et al.. (2024). WSN-Assisted Consumer Purchasing Power Prediction via Barracuda Swarm Optimization-Driven Deep Learning for E-Commerce Systems. IEEE Transactions on Consumer Electronics. 70(1). 1694–1701. 6 indexed citations

Basheti, Iman A., et al.. (2024). Chimp Optimization Algorithm with Deep Learning-Driven Fine-grained Emotion Recognition in Arabic Corpus. ACM Transactions on Asian and Low-Resource Language Information Processing. 1 indexed citations

Alotaibi, Saud S., et al.. (2024). Enhancing Security in IoT-Assisted UAV Networks Using Adaptive Mongoose Optimization Algorithm With Deep Learning. IEEE Access. 12. 63768–63776. 2 indexed citations

10.

Humayun, Mamoona, et al.. (2024). Securing the Internet of Things in Artificial Intelligence Era: A Comprehensive Survey. IEEE Access. 12. 25469–25490. 30 indexed citations

11.

Aftab, Sikandar, Xin Li, Fahmid Kabir, et al.. (2024). Lighting the future: Perovskite nanorods and their advances across applications. Nano Energy. 124. 109504–109504. 40 indexed citations

12.

Nauman, Ali, Nadhem Nemri, Nojood O. Aljehane, et al.. (2023). Dynamic resource management in integrated NOMA terrestrial–satellite networks using multi-agent reinforcement learning. Journal of Network and Computer Applications. 221. 103770–103770. 5 indexed citations

13.

Alamgeer, Mohammad, et al.. (2023). Dung Beetle Optimization with Deep Feature Fusion Model for Lung Cancer Detection and Classification. Cancers. 15(15). 3982–3982. 19 indexed citations

14.

Alotaibi, Saud S., et al.. (2023). Quantum-Inspired Moth Flame Optimizer Enhanced Deep Learning for Automated Rice Variety Classification. IEEE Access. 11. 125593–125600. 3 indexed citations

15.

Almuqren, Latifah, et al.. (2023). Blockchain-Assisted Vehicle and Cargo Matching Using Optimal Fuzzy Restricted Boltzmann Machine in Autonomous Transport System. IEEE Access. 11. 105698–105705. 3 indexed citations

16.

Obayya, Marwa, et al.. (2023). Hybrid Metaheuristics With Deep Learning-Based Fusion Model for Biomedical Image Analysis. IEEE Access. 11. 117149–117158. 7 indexed citations

17.

Asiri, Mashael M., et al.. (2023). Coastal Flood risk assessment using ensemble multi-criteria decision-making with machine learning approaches. Environmental Research. 245. 118042–118042. 19 indexed citations

18.

Obayya, Marwa, Fahd N. Al‐Wesabi, Rana Alabdan, et al.. (2023). Artificial Intelligence for Traffic Prediction and Estimation in Intelligent Cyber-Physical Transportation Systems. IEEE Transactions on Consumer Electronics. 70(1). 1706–1715. 18 indexed citations

19.

Almuqren, Latifah, et al.. (2023). Enhancing Red Palm Weevil Detection Using Bird Swarm Algorithm With Deep Learning Model. IEEE Access. 12. 1542–1551. 3 indexed citations

20.

Humayun, Mamoona, et al.. (2023). Secure Global Software Development: A Practitioners’ Perspective. Applied Sciences. 13(4). 2465–2465. 11 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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