Eshrag Refaee

486 total citations
18 papers, 277 citations indexed

About

Eshrag Refaee is a scholar working on Artificial Intelligence, Computer Networks and Communications and Health Information Management. According to data from OpenAlex, Eshrag Refaee has authored 18 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 3 papers in Computer Networks and Communications and 2 papers in Health Information Management. Recurrent topics in Eshrag Refaee's work include Sentiment Analysis and Opinion Mining (5 papers), Advanced Text Analysis Techniques (3 papers) and Hate Speech and Cyberbullying Detection (3 papers). Eshrag Refaee is often cited by papers focused on Sentiment Analysis and Opinion Mining (5 papers), Advanced Text Analysis Techniques (3 papers) and Hate Speech and Cyberbullying Detection (3 papers). Eshrag Refaee collaborates with scholars based in Saudi Arabia, United Kingdom and India. Eshrag Refaee's co-authors include Verena Rieser, Ali Ahmad, Shashi Kant Gupta, Muhammad Azeem, Abdullah Sheneamer, Motaz Saad, Marimuthu Karuppiah, R. Janarthanan, Mohammad Alamgir Hossain and Rajkumar Soundrapandiyan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Molecular Physics and Applied Sciences.

In The Last Decade

Eshrag Refaee

17 papers receiving 265 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eshrag Refaee Saudi Arabia 9 175 54 40 20 16 18 277
Wenzheng Zhang China 10 328 1.9× 115 2.1× 32 0.8× 55 2.8× 23 1.4× 48 401
Hadj Ahmed Bouarara Algeria 8 120 0.7× 58 1.1× 25 0.6× 23 1.1× 18 1.1× 29 179
Kranthi Kumar Singamaneni India 7 85 0.5× 54 1.0× 38 0.9× 41 2.0× 9 0.6× 24 192
Abdellatif Rahmoun Algeria 9 112 0.6× 59 1.1× 82 2.0× 30 1.5× 6 0.4× 38 251
Chellammal Surianarayanan India 9 58 0.3× 75 1.4× 76 1.9× 29 1.4× 4 0.3× 25 224
Ayad R. Abbas Iraq 9 110 0.6× 48 0.9× 28 0.7× 49 2.5× 5 0.3× 44 216
Mohammad Al-Rubaie United States 4 226 1.3× 51 0.9× 42 1.1× 46 2.3× 7 0.4× 5 307
Mark Anderson United Kingdom 6 42 0.2× 54 1.0× 29 0.7× 9 0.5× 12 0.8× 42 159
Mikhail Gofman United States 8 126 0.7× 65 1.2× 39 1.0× 37 1.9× 9 0.6× 19 226
Radha Raman Chandan India 8 71 0.4× 25 0.5× 47 1.2× 26 1.3× 3 0.2× 34 186

Countries citing papers authored by Eshrag Refaee

Since Specialization
Citations

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

Fields of papers citing papers by Eshrag Refaee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eshrag Refaee

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

All Works

18 of 18 papers shown
1.
Refaee, Eshrag. (2025). Digital transformation in healthcare: leveraging machine learning for predictive analytics in chronic kidney diseases prevention. SHILAP Revista de lepidopterología. 2(3). 217–232. 1 indexed citations
2.
Refaee, Eshrag, Abdullah Sheneamer, & Basem Assiri. (2024). A Deep-Learning-Based Approach to the Classification of Fire Types. Applied Sciences. 14(17). 7862–7862. 4 indexed citations
3.
Refaee, Eshrag. (2023). OKAZ: A Deep-learning-Based System for Automatic Arabic Poem Generation. 396–403. 1 indexed citations
4.
Refaee, Eshrag, Ali Ahmad, & Muhammad Azeem. (2023). Sombor indices of γ-sheet of boron clusters. Molecular Physics. 121(15). 8 indexed citations
5.
Refaee, Eshrag. (2022). Detecting Hadith Authenticity Using a Deep-learning Approach. 1–5. 1 indexed citations
6.
Refaee, Eshrag, et al.. (2022). AraBEM at WANLP 2022 Shared Task: Propaganda Detection in Arabic Tweets. 524–528. 2 indexed citations
7.
Refaee, Eshrag. (2022). Using Machine Learning for Performance Classification and Early Fault Detection in Solar Systems. Mathematical Problems in Engineering. 2022. 1–9. 6 indexed citations
8.
Refaee, Eshrag, et al.. (2022). A computing system that integrates deep learning and the internet of things for effective disease diagnosis in smart health care systems. The Journal of Supercomputing. 78(7). 9285–9306. 18 indexed citations
9.
Refaee, Eshrag, et al.. (2022). Secure and Scalable Healthcare Data Transmission in IoT Based on Optimized Routing Protocols for Mobile Computing Applications. Wireless Communications and Mobile Computing. 2022(1). 41 indexed citations
10.
Janarthanan, R., et al.. (2022). Biomedical image retrieval using adaptive neuro-fuzzy optimized classifier system. Mathematical Biosciences & Engineering. 19(8). 8132–8151. 7 indexed citations
11.
Refaee, Eshrag, et al.. (2021). Smell Sensory System In m-Commerce- A Case Study. 507–511.
12.
Refaee, Eshrag, et al.. (2021). Trust- and energy-aware cluster head selection in a UAV-based wireless sensor network using Fit-FCM. The Journal of Supercomputing. 78(4). 5610–5625. 17 indexed citations
13.
Refaee, Eshrag. (2021). A Data-oriented Approach for Detecting offensive Language in Arabic Tweets. 244–248. 2 indexed citations
14.
Refaee, Eshrag & Ali Ahmad. (2021). A Study of Hexagon Star Network with Vertex‐Edge‐Based Topological Descriptors. Complexity. 2021(1). 10 indexed citations
15.
16.
Refaee, Eshrag & Verena Rieser. (2015). Benchmarking Machine Translated Sentiment Analysis for Arabic Tweets. 71–78. 22 indexed citations
17.
Refaee, Eshrag & Verena Rieser. (2014). Evaluating Distant Supervision for Subjectivity and Sentiment Analysis on Arabic Twitter Feeds. 174–179. 15 indexed citations
18.
Refaee, Eshrag & Verena Rieser. (2014). An Arabic Twitter Corpus for Subjectivity and Sentiment Analysis. 2268–2273. 105 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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