M.A. Chyad

1.2k total citations · 1 hit paper
12 papers, 823 citations indexed

About

M.A. Chyad is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, M.A. Chyad has authored 12 papers receiving a total of 823 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Computer Networks and Communications. Recurrent topics in M.A. Chyad's work include IoT and Edge/Fog Computing (2 papers), Virtual Reality Applications and Impacts (2 papers) and COVID-19 diagnosis using AI (2 papers). M.A. Chyad is often cited by papers focused on IoT and Edge/Fog Computing (2 papers), Virtual Reality Applications and Impacts (2 papers) and COVID-19 diagnosis using AI (2 papers). M.A. Chyad collaborates with scholars based in Malaysia, Iraq and Jordan. M.A. Chyad's co-authors include A. A. Zaidan, B. B. Zaidan, A. H. Alamoodi, O. S. Albahri, A. S. Albahri, K. I. Mohammed, E. M. Almahdi, Karrar Hameed Abdulkareem, A.M. Aleesa and R. Q. Malik and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

M.A. Chyad

11 papers receiving 796 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.

Sentiment analysis and its applications in fighting COVID-19 and infectious diseases: A systematic review

2020 261 citations A. H. Alamoodi, B. B. Zaidan et al. Expert Systems with Applications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M.A. Chyad Malaysia	9	330	190	128	124	100	12	823
E. M. Almahdi Malaysia	9	353 1.1×	185 1.0×	127 1.0×	168 1.4×	144 1.4×	9	941
Jwan K. Alwan Iraq	9	223 0.7×	162 0.9×	98 0.8×	107 0.9×	34 0.3×	12	912
Vijay Mago Canada	15	465 1.4×	58 0.3×	101 0.8×	87 0.7×	92 0.9×	89	992
Malak Abdullah Jordan	14	670 2.0×	156 0.8×	146 1.1×	191 1.5×	26 0.3×	50	1.2k
Aijaz Ahmad Reshi Saudi Arabia	10	398 1.2×	290 1.5×	94 0.7×	81 0.7×	36 0.4×	20	795
Zenun Kastrati Sweden	18	767 2.3×	80 0.4×	187 1.5×	218 1.8×	43 0.4×	48	1.4k
Mohammed Ali Al-Garadi United States	17	750 2.3×	226 1.2×	153 1.2×	167 1.3×	34 0.3×	45	1.4k
Kiran Khatter India	8	445 1.3×	80 0.4×	42 0.3×	140 1.1×	60 0.6×	23	923
Sher Muhammad Daudpota Pakistan	14	516 1.6×	76 0.4×	152 1.2×	116 0.9×	73 0.7×	43	875
Abdul Majeed South Korea	19	390 1.2×	60 0.3×	180 1.4×	140 1.1×	39 0.4×	76	1.0k

Countries citing papers authored by M.A. Chyad

Since Specialization

Citations

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

Fields of papers citing papers by M.A. Chyad

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.A. Chyad. 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 M.A. Chyad. The network helps show where M.A. Chyad may publish in the future.

Co-authorship network of co-authors of M.A. Chyad

This figure shows the co-authorship network connecting the top 25 collaborators of M.A. Chyad. A scholar is included among the top collaborators of M.A. Chyad 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 M.A. Chyad. M.A. Chyad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

Garfan, Salem, M.A. Chyad, A. S. Albahri, et al.. (2025). Explainability, Robustness, and Fairness in User-Centric Intelligent Systems: A Systematic Review. IEEE Transactions on Emerging Topics in Computational Intelligence. 9(6). 3728–3753. 2 indexed citations

Chyad, M.A., B. B. Zaidan, A. A. Zaidan, et al.. (2024). Exploring adversarial deep learning for fusion in multi-color channel skin detection applications. Information Fusion. 114. 102632–102632. 5 indexed citations

Chyad, M.A., et al.. (2024). Exploring the Industrial Metaverse: Empowering Meta-Operators with Industry 5.0 Principles and XR Technologies. SHILAP Revista de lepidopterología. 8(3-2). 1735–1735.

Fadhel, Mohammed A., et al.. (2024). Navigating the metaverse: unraveling the impact of artificial intelligence—a comprehensive review and gap analysis. Artificial Intelligence Review. 57(10). 35 indexed citations

Alamoodi, A. H., B. B. Zaidan, A. A. Zaidan, et al.. (2021). Machine learning-based imputation soft computing approach for large missing scale and non-reference data imputation. Chaos Solitons & Fractals. 151. 111236–111236. 39 indexed citations

Albahri, O. S., Jameel R. Al‐Obaidi, A. A. Zaidan, et al.. (2020). Helping doctors hasten COVID-19 treatment: Towards a rescue framework for the transfusion of best convalescent plasma to the most critical patients based on biological requirements via ml and novel MCDM methods. Computer Methods and Programs in Biomedicine. 196. 105617–105617. 80 indexed citations

Albahri, O. S., A. A. Zaidan, A. S. Albahri, et al.. (2020). Systematic review of artificial intelligence techniques in the detection and classification of COVID-19 medical images in terms of evaluation and benchmarking: Taxonomy analysis, challenges, future solutions and methodological aspects. Journal of Infection and Public Health. 13(10). 1381–1396. 195 indexed citations

Alamoodi, A. H., B. B. Zaidan, A. A. Zaidan, et al.. (2020). Sentiment analysis and its applications in fighting COVID-19 and infectious diseases: A systematic review. Expert Systems with Applications. 167. 114155–114155. 261 indexed citations breakdown →

Albahri, A. S., O. S. Albahri, A. A. Zaidan, et al.. (2019). Based Multiple Heterogeneous Wearable Sensors: A Smart Real-Time Health Monitoring Structured for Hospitals Distributor. IEEE Access. 7. 37269–37323. 79 indexed citations

10.

Alamoodi, A. H., B. B. Zaidan, A. A. Zaidan, et al.. (2019). A Review of Data Analysis for Early-Childhood Period: Taxonomy, Motivations, Challenges, Recommendation, and Methodological Aspects. IEEE Access. 7. 51069–51103. 18 indexed citations

11.

Albahri, O. S., A. S. Albahri, A. A. Zaidan, et al.. (2019). Fault-Tolerant mHealth Framework in the Context of IoT-Based Real-Time Wearable Health Data Sensors. IEEE Access. 7. 50052–50080. 98 indexed citations

12.

Chyad, M.A., et al.. (2019). The Landscape of Research on Skin Detectors: Coherent Taxonomy, Open Challenges, Motivations, Recommendations and Statistical Analysis, Future Directions. IEEE Access. 7. 106536–106575. 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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