Heba Mohsen

2.3k total citations · 2 hit papers
39 papers, 1.5k citations indexed

About

Heba Mohsen is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Heba Mohsen has authored 39 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 10 papers in Computer Networks and Communications and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Heba Mohsen's work include Network Security and Intrusion Detection (9 papers), Sentiment Analysis and Opinion Mining (6 papers) and Advanced Malware Detection Techniques (6 papers). Heba Mohsen is often cited by papers focused on Network Security and Intrusion Detection (9 papers), Sentiment Analysis and Opinion Mining (6 papers) and Advanced Malware Detection Techniques (6 papers). Heba Mohsen collaborates with scholars based in Egypt, Saudi Arabia and Pakistan. Heba Mohsen's co-authors include El‐Sayed A. El‐Dahshan, Abdel-Badeeh M. Salem, El-Sayed M. El-Horbaty, Kenneth Revett, Mashael Maashi, Abdelwahed Motwakel, Marwa Obayya, Mesfer Al Duhayyim, Saud S. Alotaibi and Mohamed Ibrahim Alsaid and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

In The Last Decade

Heba Mohsen

36 papers receiving 1.4k 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.

Classification using deep learning neural networks for brain tumors

2017 684 citations Heba Mohsen, El‐Sayed A. El‐Dahshan et al. profile →
Computer-aided diagnosis of human brain tumor through MRI: A survey and a new algorithm

2014 482 citations El‐Sayed A. El‐Dahshan, Heba Mohsen et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Heba Mohsen Egypt	14	961	849	568	358	110	39	1.5k
S. Deepak India	10	903 0.9×	757 0.9×	586 1.0×	336 0.9×	102 0.9×	37	1.4k
P. M. Ameer India	13	899 0.9×	831 1.0×	630 1.1×	356 1.0×	109 1.0×	35	1.6k
Muhammad Sharif Pakistan	23	815 0.8×	1.3k 1.5×	775 1.4×	574 1.6×	152 1.4×	67	2.3k
Majed Alhaisoni Saudi Arabia	29	574 0.6×	875 1.0×	1.0k 1.8×	671 1.9×	247 2.2×	104	2.5k
El-Sayed M. El-Horbaty Egypt	13	516 0.5×	521 0.6×	541 1.0×	214 0.6×	93 0.8×	54	1.1k
Fatih Özyurt Türkiye	15	398 0.4×	779 0.9×	723 1.3×	640 1.8×	94 0.9×	63	1.6k
Ghazanfar Latif Saudi Arabia	20	273 0.3×	504 0.6×	304 0.5×	285 0.8×	160 1.5×	83	1.3k
Muhammad Sharif Pakistan	32	265 0.3×	928 1.1×	947 1.7×	874 2.4×	227 2.1×	44	2.6k
Cem Direkoğlu Türkiye	14	373 0.4×	576 0.7×	339 0.6×	142 0.4×	73 0.7×	40	935
Chaosheng Tang China	15	215 0.2×	286 0.3×	389 0.7×	239 0.7×	110 1.0×	55	1.1k

Countries citing papers authored by Heba Mohsen

Since Specialization

Citations

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

Fields of papers citing papers by Heba Mohsen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heba Mohsen

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

Nour, Mohamed K., Hassan A. Alshamrani, Mesfer Al Duhayyim, et al.. (2023). Gender Identification Using Marginalised Stacked Denoising Autoencoders on Twitter Data. Intelligent Automation & Soft Computing. 36(3). 2529–2544. 1 indexed citations

Motwakel, Abdelwahed, Jaber S. Alzahrani, Ayman Yafoz, et al.. (2023). Deer Hunting Optimization with Deep Learning Enabled Emotion Classification on English Twitter Data. Computer Systems Science and Engineering. 47(3). 2741–2757. 1 indexed citations

Duhayyim, Mesfer Al, et al.. (2023). Modified Sine Cosine Optimization with Adaptive Deep Belief Network for Movie Review Classification. Intelligent Automation & Soft Computing. 37(1). 283–300. 1 indexed citations

Almuqren, Latifah, et al.. (2023). Explainable Artificial Intelligence Enabled Intrusion Detection Technique for Secure Cyber-Physical Systems. Applied Sciences. 13(5). 3081–3081. 24 indexed citations

Albraikan, Amani Abdulrahman, Majdi Khalid, Nuha Alruwais, et al.. (2023). Automated Red Palm Weevil Detection Using Gorilla Troops Optimizer With Deep Learning Model. IEEE Access. 11. 71616–71623. 3 indexed citations

Alrowais, Fadwa, Saud S. Alotaibi, Anwer Mustafa Hilal, et al.. (2023). Clinical Decision Support Systems to Predict Drug–Drug Interaction Using Multilabel Long Short-Term Memory with an Autoencoder. International Journal of Environmental Research and Public Health. 20(3). 2696–2696. 4 indexed citations

Alalayah, Khaled M., Fatma S. Alrayes, Jaber S. Alzahrani, et al.. (2023). Optimal Deep Learning Based Intruder Identification in Industrial Internet of Things Environment. Computer Systems Science and Engineering. 46(3). 3121–3139. 8 indexed citations

Alalayah, Khaled M., Fatma S. Alrayes, Mohamed K. Nour, et al.. (2023). Learning-Based Artificial Algae Algorithm with Optimal Machine Learning Enabled Malware Detection. Computer Systems Science and Engineering. 46(3). 3103–3119.

Hamza, Manar Ahmed, et al.. (2023). Computational Linguistics with Optimal Deep Belief Network Based Irony Detection in Social Media. Computers, materials & continua/Computers, materials & continua (Print). 75(2). 4137–4154. 1 indexed citations

10.

Aljebreen, Mohammed, et al.. (2023). Binary Chimp Optimization Algorithm with ML Based Intrusion Detection for Secure IoT-Assisted Wireless Sensor Networks. Sensors. 23(8). 4073–4073. 16 indexed citations

11.

Almuqren, Latifah, et al.. (2023). Sine-Cosine-Adopted African Vultures Optimization with Ensemble Autoencoder-Based Intrusion Detection for Cybersecurity in CPS Environment. Sensors. 23(10). 4804–4804. 10 indexed citations

12.

Alotaibi, Saud S., et al.. (2022). Autonomous Short-Term Traffic Flow Prediction Using Pelican Optimization with Hybrid Deep Belief Network in Smart Cities. Applied Sciences. 12(21). 10828–10828. 18 indexed citations

13.

Alrayes, Fatma S., Saud S. Alotaibi, Khalid Alissa, et al.. (2022). Artificial Intelligence-Based Secure Communication and Classification for Drone-Enabled Emergency Monitoring Systems. Drones. 6(9). 222–222. 28 indexed citations

14.

Duhayyim, Mesfer Al, Areej Malibari, Abdullah Alharbi, et al.. (2022). Road Damage Detection Using the Hunger Games Search with Elman Neural Network on High-Resolution Remote Sensing Images. Remote Sensing. 14(24). 6222–6222. 9 indexed citations

15.

Alrowais, Fadwa, Radwa Marzouk, Mohamed K. Nour, et al.. (2022). Intelligent Intrusion Detection Using Arithmetic Optimization Enabled Density Based Clustering with Deep Learning. Electronics. 11(21). 3541–3541. 7 indexed citations

16.

Alrayes, Fatma S., Mohammed Maray, Ayman Yafoz, et al.. (2022). Modeling of Botnet Detection Using Barnacles Mating Optimizer with Machine Learning Model for Internet of Things Environment. Electronics. 11(20). 3411–3411. 12 indexed citations

17.

Hussain, Lal, Areej Malibari, Jaber S. Alzahrani, et al.. (2022). Bayesian dynamic profiling and optimization of important ranked energy from gray level co-occurrence (GLCM) features for empirical analysis of brain MRI. Scientific Reports. 12(1). 15389–15389. 13 indexed citations

18.

Mohsen, Heba, et al.. (2020). SIGNATURE IDENTIFICATION AND VERIFICATION SYSTEMS: A COMPARATIVE STUDY ON THE ONLINE AND OFFLINE TECHNIQUES. 5(1). 28–45. 17 indexed citations

19.

Fahmy, Sohair R., et al.. (2017). Therapeutic efficacy of human umbilical cord mesenchymal stem cells transplantation against renal ischemia/reperfusion injury in rats. Tissue and Cell. 49(3). 369–375. 23 indexed citations

20.

Mohsen, Heba, El‐Sayed A. El‐Dahshan, & Abdel-Badeeh M. Salem. (2012). A machine learning technique for MRI brain images. 21 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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