Muhammad Mujahid

996 total citations · 1 hit paper
32 papers, 508 citations indexed

About

Muhammad Mujahid is a scholar working on Artificial Intelligence, Neurology and Sociology and Political Science. According to data from OpenAlex, Muhammad Mujahid has authored 32 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 6 papers in Neurology and 5 papers in Sociology and Political Science. Recurrent topics in Muhammad Mujahid's work include Sentiment Analysis and Opinion Mining (6 papers), Brain Tumor Detection and Classification (6 papers) and AI in cancer detection (6 papers). Muhammad Mujahid is often cited by papers focused on Sentiment Analysis and Opinion Mining (6 papers), Brain Tumor Detection and Classification (6 papers) and AI in cancer detection (6 papers). Muhammad Mujahid collaborates with scholars based in Saudi Arabia, Pakistan and South Korea. Muhammad Mujahid's co-authors include Imran Ashraf, Furqan Rustam, Isabel de la Torre Díez, Amjad Rehman, Tanzila Saba, Ernesto Lee, Patrick Bernard Washington, Saleem Ullah, Aijaz Ahmad Reshi and Faten S. Alamri and has published in prestigious journals such as Scientific Reports, IEEE Access and Applied Sciences.

In The Last Decade

Muhammad Mujahid

25 papers receiving 485 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 Topic Modeling on Tweets about Online Education during COVID-19

2021 147 citations Muhammad Mujahid, Furqan Rustam et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Muhammad Mujahid Saudi Arabia	10	257	92	64	64	59	32	508
Omar H. Karam Egypt	11	172 0.7×	84 0.9×	14 0.2×	21 0.3×	48 0.8×	38	435
Jamil Hussain South Korea	14	299 1.2×	73 0.8×	47 0.7×	117 1.8×	148 2.5×	67	761
Kashfia Sailunaz Canada	9	342 1.3×	38 0.4×	86 1.3×	36 0.6×	76 1.3×	17	604
Surendrabikram Thapa United States	13	202 0.8×	42 0.5×	30 0.5×	15 0.2×	38 0.6×	49	444
Timothy Oladunni United States	10	198 0.8×	21 0.2×	65 1.0×	19 0.3×	52 0.9×	23	559
Serkan Savaş Türkiye	11	108 0.4×	56 0.6×	15 0.2×	77 1.2×	58 1.0×	37	372
Riad Alharbey Saudi Arabia	12	122 0.5×	69 0.8×	21 0.3×	23 0.4×	76 1.3×	26	480
Yue Qu China	8	101 0.4×	26 0.3×	51 0.8×	14 0.2×	34 0.6×	11	390
Jigna J. Hathaliya India	8	150 0.6×	35 0.4×	31 0.5×	10 0.2×	48 0.8×	17	588
Abdulqader M. Almars Saudi Arabia	13	177 0.7×	36 0.4×	44 0.7×	15 0.2×	95 1.6×	27	375

Countries citing papers authored by Muhammad Mujahid

Since Specialization

Citations

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

Fields of papers citing papers by Muhammad Mujahid

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Mujahid

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

Mujahid, Muhammad, et al.. (2025). Software defined network intrusion system to detect malicious attacks in computer Internet of Things security using deep extractor supervised random forest technique. PeerJ Computer Science. 11. e3103–e3103.

Rehman, Amjad, et al.. (2025). Comprehensive Review and Analysis on Facial Emotion Recognition: Performance Insights into Deep and Traditional Learning with Current Updates and Challenges. Computers, materials & continua/Computers, materials & continua (Print). 82(1). 41–72. 5 indexed citations

Ayesha, Noor, et al.. (2025). Large Language Model in Healthcare for the Prediction of Genetic Variants from Unstructured Text Medicine Data Using Natural Language Processing. Computers, materials & continua/Computers, materials & continua (Print). 84(1). 1883–1899.

Mujahid, Muhammad, et al.. (2025). Chinese DeepSeek: Performance of Various Oversampling Techniques on Public Perceptions Using Natural Language Processing. Computers, materials & continua/Computers, materials & continua (Print). 84(2). 2717–2731.

Mujahid, Muhammad, et al.. (2025). CRISPR Cas systems: From bacterial defense mechanisms to revolutionary tools reshaping genetic research and translation therapeutics. The Microbe. 7. 100344–100344. 8 indexed citations

Rehman, Amjad, et al.. (2024). Early‐Stage Melanoma Cancer Diagnosis Framework for Imbalanced Data From Dermoscopic Images. Microscopy Research and Technique. 88(3). 797–809. 2 indexed citations

Mujahid, Muhammad, et al.. (2024). Prediction of lumpy skin disease virus using customized CBAM-DenseNet-attention model. BMC Infectious Diseases. 24(1). 1181–1181. 2 indexed citations

Rehman, Amjad, Muhammad Mujahid, Tanzila Saba, & Gwanggil Jeon. (2024). Optimised stacked machine learning algorithms for genomics and genetics disorder detection in the healthcare industry. Functional & Integrative Genomics. 24(1). 23–23. 3 indexed citations

Mujahid, Muhammad, et al.. (2024). Efficient deep learning-based approach for malaria detection using red blood cell smears. Scientific Reports. 14(1). 13249–13249. 20 indexed citations

10.

Mujahid, Muhammad, et al.. (2024). Brain tumor detection through novel feature selection using deep efficientNet-CNN-based features with supervised learning and data augmentation. Physica Scripta. 99(7). 75002–75002. 6 indexed citations

11.

Mujahid, Muhammad, et al.. (2024). Enhancing trustworthiness and reliability: advance explainable artificial intelligence framework for real world Sclerosis detection. Physica Scripta. 99(10). 105017–105017. 2 indexed citations

12.

Rehman, Amjad, et al.. (2024). Densely Convolutional BU-NET Framework for Breast Multi-Organ Cancer Nuclei Segmentation through Histopathological Slides and Classification Using Optimized Features. Computer Modeling in Engineering & Sciences. 141(3). 2375–2397. 2 indexed citations

13.

Mujahid, Muhammad, Noor Ayesha, Ahmad Taher Azar, Tanzila Saba, & Zeeshan Haider. (2024). Human Brain Stroke Prediction using Machine Learning Methods with Synthetic Minority Oversampling Approach. 84–89. 1 indexed citations

14.

Al‐Otaibi, Shaha, Muhammad Mujahid, Amjad Rehman, et al.. (2024). Dual Attention Convolutional AutoEncoder for Diagnosis of Alzheimer’s Disorder in Patients Using Neuroimaging and MRI Features. IEEE Access. 12. 58722–58739. 8 indexed citations

15.

Mujahid, Muhammad, et al.. (2023). Arabic ChatGPT Tweets Classification Using RoBERTa and BERT Ensemble Model. ACM Transactions on Asian and Low-Resource Language Information Processing. 22(8). 1–23. 24 indexed citations

16.

Rehman, Amjad, et al.. (2023). Parkinson’s Disease Detection Using Hybrid LSTM-GRU Deep Learning Model. Electronics. 12(13). 2856–2856. 42 indexed citations

17.

Mujahid, Muhammad, et al.. (2023). Video Sinematografis Taman Tematik Sebagai Media Informasi Dan Promosi Disbudpar Kota Tangerang. 4(1). 47–60.

18.

Mujahid, Muhammad, Amjad Rehman, Teg Alam, et al.. (2023). An Efficient Ensemble Approach for Alzheimer’s Disease Detection Using an Adaptive Synthetic Technique and Deep Learning. Diagnostics. 13(15). 2489–2489. 47 indexed citations

19.

Mujahid, Muhammad, et al.. (2023). Analyzing Sentiments Regarding ChatGPT Using Novel BERT: A Machine Learning Approach. Information. 14(9). 474–474. 31 indexed citations

20.

Mujahid, Muhammad, et al.. (2022). Pneumonia Classification from X-ray Images with Inception-V3 and Convolutional Neural Network. Diagnostics. 12(5). 1280–1280. 74 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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