Mohamad Saraee

861 total citations
43 papers, 509 citations indexed

About

Mohamad Saraee is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mohamad Saraee has authored 43 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 16 papers in Information Systems and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mohamad Saraee's work include Data Mining Algorithms and Applications (13 papers), Text and Document Classification Technologies (6 papers) and Advanced Text Analysis Techniques (5 papers). Mohamad Saraee is often cited by papers focused on Data Mining Algorithms and Applications (13 papers), Text and Document Classification Technologies (6 papers) and Advanced Text Analysis Techniques (5 papers). Mohamad Saraee collaborates with scholars based in United Kingdom, Iran and Netherlands. Mohamad Saraee's co-authors include Ayoub Bagheri, Franciska de Jong, Obaida M. Al-Hazaimeh, Abdolreza Rashno, Saeed Sadri, Behzad Nazari, Abdolreza Mirzaei, Vijayan Sugumaran, Sunil Vadera and Reza Ramezani and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Mohamad Saraee

38 papers receiving 479 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohamad Saraee United Kingdom 12 326 119 100 48 38 43 509
Dharmveer Singh Rajpoot India 9 343 1.1× 144 1.2× 72 0.7× 53 1.1× 17 0.4× 23 459
Yilun Jin China 12 512 1.6× 86 0.7× 81 0.8× 33 0.7× 74 1.9× 28 701
Bilian Chen China 11 167 0.5× 97 0.8× 78 0.8× 30 0.6× 88 2.3× 43 508
Huiyuan Chen United States 16 287 0.9× 159 1.3× 108 1.1× 30 0.6× 40 1.1× 53 603
Zhenfang Zhu China 16 524 1.6× 146 1.2× 87 0.9× 25 0.5× 31 0.8× 77 736
S TAN China 6 665 2.0× 246 2.1× 104 1.0× 40 0.8× 21 0.6× 7 827
Mohammed A. Shehab Jordan 13 559 1.7× 205 1.7× 144 1.4× 46 1.0× 20 0.5× 27 776
Yiqi Wang China 10 267 0.8× 143 1.2× 64 0.6× 13 0.3× 35 0.9× 19 464
Xiaozhi Wang China 10 941 2.9× 127 1.1× 195 1.9× 22 0.5× 28 0.7× 31 1.2k

Countries citing papers authored by Mohamad Saraee

Since Specialization
Citations

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

Fields of papers citing papers by Mohamad Saraee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohamad Saraee

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

All Works

20 of 20 papers shown
1.
Saleem, Muhammad Hammad, F.H. Hammad, Muhammad Taha, et al.. (2025). A novel data-centric AI approach based on sensitivity and correlation analyses: A case study on multi-organ plant disease classification. Expert Systems with Applications. 290. 128365–128365.
2.
Saraee, Mohamad, et al.. (2024). Features in extractive supervised single-document summarization: case of Persian news. Language Resources and Evaluation. 58(4). 1073–1091. 3 indexed citations
3.
4.
Rehman, Sadaqat Ur, et al.. (2024). Gas pipeline defect detection based on improved deep learning approach. Expert Systems with Applications. 267. 126212–126212. 4 indexed citations
5.
Dargahi, Tooska, et al.. (2023). Deriving Environmental Risk Profiles for Autonomous Vehicles From Simulated Trips. IEEE Access. 11. 38385–38398. 1 indexed citations
6.
Saraee, Mohamad, et al.. (2023). Regularized Contrastive Masked Autoencoder Model for Machinery Anomaly Detection Using Diffusion-Based Data Augmentation. Algorithms. 16(9). 431–431. 2 indexed citations
7.
Saraee, Mohamad, et al.. (2023). Optimizing the Parameters of Relay Selection Model in OLSRv2 D2D Network. 14. 457–462. 2 indexed citations
8.
Dargahi, Tooska, et al.. (2022). DeepClean: A Robust Deep Learning Technique for Autonomous Vehicle Camera Data Privacy. IEEE Access. 10. 124534–124544. 9 indexed citations
9.
10.
Ramezani, Reza, Mohammad Ali Nematbakhsh, & Mohamad Saraee. (2020). Mining Association Rules from Semantic Web Data without User Intervention. 7(1). 81–94. 1 indexed citations
11.
Al-Hazaimeh, Obaida M., et al.. (2016). A novel framework for intelligent surveillance system based on abnormal human activity detection in academic environments. Neural Computing and Applications. 28(S1). 565–572. 55 indexed citations
12.
Saraee, Mohamad, et al.. (2015). A fuzzy method for discovering cost-effective actions from data. Journal of Intelligent & Fuzzy Systems. 28(2). 757–765. 11 indexed citations
13.
Ramezani, Reza, et al.. (2014). SWApriori : a new approach to mining association rules from semantic web data. University of Salford Institutional Repository (University of Salford). 3 indexed citations
14.
Ramezani, Reza, Mohamad Saraee, & Mohammad Ali Nematbakhsh. (2014). MRAR: Mining Multi-Relation Association Rules. University of Salford Institutional Repository (University of Salford). 1(2). 133–158. 6 indexed citations
15.
Saraee, Mohamad, et al.. (2013). Protein contact map prediction using committee machine approach. International Journal of Data Mining and Bioinformatics. 7(4). 397–397. 1 indexed citations
16.
Saraee, Mohamad, et al.. (2011). Modeling batch annealing process using data mining techniques for cold rolled steel sheets. University of Salford Institutional Repository (University of Salford). 18–22. 4 indexed citations
17.
Saraee, Mohamad, et al.. (2010). A fuzzy recommender system for dynamic prediction of user's behavior. University of Salford Institutional Repository (University of Salford). 1–5. 2 indexed citations
18.
19.
Theodoulidis, Babis, et al.. (2004). SVM categorizer: a generic categorization tool using support vector machines. Research Explorer (The University of Manchester). 1109–1112. 3 indexed citations
20.
Saraee, Mohamad, et al.. (2004). Data mining application : case of road traffic accidents in the UK West Midlands area 2000. University of Salford Institutional Repository (University of Salford). 1102–1108. 1 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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