Mejdl Safran

1.9k total citations · 1 hit paper
92 papers, 719 citations indexed

About

Mejdl Safran is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Mejdl Safran has authored 92 papers receiving a total of 719 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 20 papers in Computer Vision and Pattern Recognition and 15 papers in Computer Networks and Communications. Recurrent topics in Mejdl Safran's work include Smart Agriculture and AI (10 papers), IoT and Edge/Fog Computing (7 papers) and Brain Tumor Detection and Classification (7 papers). Mejdl Safran is often cited by papers focused on Smart Agriculture and AI (10 papers), IoT and Edge/Fog Computing (7 papers) and Brain Tumor Detection and Classification (7 papers). Mejdl Safran collaborates with scholars based in Saudi Arabia, Bangladesh and United States. Mejdl Safran's co-authors include Sultan Alfarhood, Dunren Che, M. F. Mridha, Md. Mohsin Kabir, Imran Ashraf, Mustafa Ibrahim Khaleel, Michelle Zhu, Md Saef Ullah Miah, Talha Bin Sarwar and Khan Md. Hasib and has published in prestigious journals such as PLoS ONE, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Mejdl Safran

81 papers receiving 678 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 multimodal approach to cross-lingual sentiment analysis with ensemble of transformer and LLM

2024 56 citations Mejdl Safran, Sultan Alfarhood et al. Scientific Reports profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mejdl Safran Saudi Arabia	15	197	112	91	90	88	92	719
Sultan Alfarhood Saudi Arabia	15	238 1.2×	123 1.1×	113 1.2×	89 1.0×	87 1.0×	91	743
Vandana Sharma India	15	209 1.1×	143 1.3×	78 0.9×	101 1.1×	109 1.2×	121	773
R Surendran India	16	155 0.8×	100 0.9×	92 1.0×	137 1.5×	120 1.4×	219	888
Ramgopal Kashyap India	19	230 1.2×	136 1.2×	128 1.4×	165 1.8×	104 1.2×	52	987
Tariq Shahzad Pakistan	17	218 1.1×	168 1.5×	50 0.5×	197 2.2×	38 0.4×	74	799
Mona Jamjoom Saudi Arabia	18	363 1.8×	107 1.0×	204 2.2×	53 0.6×	104 1.2×	73	1.0k
Rudresh Dwivedi India	9	269 1.4×	119 1.1×	139 1.5×	45 0.5×	97 1.1×	14	776
Vinit Kumar Gunjan India	14	126 0.6×	72 0.6×	98 1.1×	71 0.8×	51 0.6×	50	515
Adel Sulaiman Saudi Arabia	16	243 1.2×	134 1.2×	108 1.2×	117 1.3×	30 0.3×	59	750
Hamid Séridi Algeria	12	191 1.0×	126 1.1×	147 1.6×	246 2.7×	43 0.5×	74	652

Countries citing papers authored by Mejdl Safran

Since Specialization

Citations

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

Fields of papers citing papers by Mejdl Safran

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mejdl Safran

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Safran, Mejdl, et al.. (2025). An Enhanced LSTM Approach for Detecting IoT-Based DDoS Attacks Using Honeypot Data. International Journal of Computational Intelligence Systems. 18(1). 4 indexed citations

Aqib, Muhammad, et al.. (2025). A customized convolutional neural network-based approach for weeds identification in cotton crops. Frontiers in Plant Science. 15. 1435301–1435301. 4 indexed citations

Jahan, Nusrat, et al.. (2025). LeafDNet: Transforming Leaf Disease Diagnosis Through Deep Transfer Learning. Plant Direct. 9(2). e70047–e70047. 2 indexed citations

Wan, Jiafu, et al.. (2025). Domain-Knowledge-Driven Intelligent Attribute Definition for Zero-Shot Fault Diagnosis of Bearings. IEEE Transactions on Industrial Informatics. 21(7). 5286–5296.

Luo, Fang, et al.. (2025). Contrastive prototype guided federated learning for rotating machinery fault diagnosis under spatio-temporal domain shift. Mechanical Systems and Signal Processing. 232. 112707–112707. 8 indexed citations

Mridha, M. F., et al.. (2024). X-Brain: Explainable recognition of brain tumors using robust deep attention CNN. Biomedical Signal Processing and Control. 100. 106988–106988. 6 indexed citations

Nur, Kamruddin, et al.. (2024). SPF-Net: Solar panel fault detection using U-Net based deep learning image classification. Energy Reports. 12. 1580–1594. 17 indexed citations

Hasib, Khan Md., et al.. (2024). Fusing global context with multiscale context for enhanced breast cancer classification. Scientific Reports. 14(1). 27358–27358. 10 indexed citations

Safran, Mejdl, et al.. (2024). Experimental Investigation and Machine Learning Prediction of Mechanical Properties of Rubberized Concrete for Sustainable Construction. Scientific Reports. 14(1). 22725–22725. 6 indexed citations

10.

Safran, Mejdl, et al.. (2024). Deep Learning-Based Multistage Fire Detection System and Emerging Direction. Fire. 7(12). 451–451. 5 indexed citations

11.

Shafi, Imran, et al.. (2024). Profitability trend prediction in crypto financial markets using Fibonacci technical indicator and hybrid CNN model. Journal Of Big Data. 11(1). 4 indexed citations

12.

Dutta, Haimonti, M. K. Bhuyan, Ram Kumar Karsh, Sultan Alfarhood, & Mejdl Safran. (2024). Multiscale Attention-Based Hand Keypoint Detection. IEEE Transactions on Instrumentation and Measurement. 73. 1–11. 1 indexed citations

13.

Saha, Dip Kumar, et al.. (2024). Segmentation for mammography classification utilizing deep convolutional neural network. BMC Medical Imaging. 24(1). 334–334. 6 indexed citations

14.

Sadad, Tariq, Mejdl Safran, Inayat Khan, et al.. (2023). Efficient Classification of ECG Images Using a Lightweight CNN with Attention Module and IoT. Sensors. 23(18). 7697–7697. 15 indexed citations

15.

Khaleel, Mustafa Ibrahim, Mejdl Safran, Sultan Alfarhood, & Michelle Zhu. (2023). A Hybrid Many-Objective Optimization Algorithm for Job Scheduling in Cloud Computing Based on Merge-and-Split Theory. Mathematics. 11(16). 3563–3563. 2 indexed citations

16.

Sadad, Tariq, et al.. (2023). Classification of Highly Divergent Viruses from DNA/RNA Sequence Using Transformer-Based Models. Biomedicines. 11(5). 1323–1323. 10 indexed citations

17.

Alfarhood, Sultan, et al.. (2023). Differential Evolution Using Enhanced Mutation Strategy Based on Random Neighbor Selection. Symmetry. 15(10). 1916–1916. 1 indexed citations

18.

Alfarhood, Sultan, et al.. (2023). Improving Performance of Differential Evolution Using Multi-Population Ensemble Concept. Symmetry. 15(10). 1818–1818. 2 indexed citations

19.

Mridha, M. F., et al.. (2023). Privacy-Preserving On-Screen Activity Tracking and Classification in E-Learning Using Federated Learning. IEEE Access. 11. 79315–79329. 11 indexed citations

20.

Khaleel, Mustafa Ibrahim, Mejdl Safran, Sultan Alfarhood, & Michelle Zhu. (2023). Workflow Scheduling Scheme for Optimized Reliability and End-to-End Delay Control in Cloud Computing Using AI-Based Modeling. Mathematics. 11(20). 4334–4334. 5 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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