Khaled Al-Thelaya

637 total citations
19 papers, 351 citations indexed

About

Khaled Al-Thelaya is a scholar working on Computer Vision and Pattern Recognition, Management Science and Operations Research and Signal Processing. According to data from OpenAlex, Khaled Al-Thelaya has authored 19 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 5 papers in Management Science and Operations Research and 4 papers in Signal Processing. Recurrent topics in Khaled Al-Thelaya's work include Stock Market Forecasting Methods (5 papers), AI in cancer detection (4 papers) and Time Series Analysis and Forecasting (3 papers). Khaled Al-Thelaya is often cited by papers focused on Stock Market Forecasting Methods (5 papers), AI in cancer detection (4 papers) and Time Series Analysis and Forecasting (3 papers). Khaled Al-Thelaya collaborates with scholars based in Qatar, Saudi Arabia and Italy. Khaled Al-Thelaya's co-authors include El-Sayed M. El-Alfy, Salahadin Mohammed, Marco Agus, Jens Schneider, Mahmood Alzubaidi, Mowafa Househ, Michel Makhlouf, Uzair Shah, Mohammed Anbar and James She and has published in prestigious journals such as IEEE Access, Computers in Biology and Medicine and Multimedia Tools and Applications.

In The Last Decade

Khaled Al-Thelaya

16 papers receiving 335 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Khaled Al-Thelaya Qatar 9 164 96 81 51 45 19 351
Anita Yadav India 4 148 0.9× 98 1.0× 80 1.0× 43 0.8× 16 0.4× 4 276
Salahadin Mohammed Saudi Arabia 7 170 1.0× 99 1.0× 91 1.1× 45 0.9× 43 1.0× 27 344
Dat Thanh Tran Finland 9 117 0.7× 74 0.8× 122 1.5× 53 1.0× 42 0.9× 16 343
Yimei Yang China 10 82 0.5× 86 0.9× 74 0.9× 38 0.7× 18 0.4× 18 275
Haoyu Zhang China 4 256 1.6× 136 1.4× 66 0.8× 77 1.5× 100 2.2× 7 388
Cristian Challú United States 3 157 1.0× 126 1.3× 107 1.3× 44 0.9× 17 0.4× 6 369
Liu Jiang China 8 78 0.5× 31 0.3× 128 1.6× 30 0.6× 29 0.6× 19 346
Chao Qin China 6 87 0.5× 62 0.6× 64 0.8× 24 0.5× 29 0.6× 18 238
Sudarsan Padhy India 10 120 0.7× 76 0.8× 85 1.0× 46 0.9× 60 1.3× 18 287
Arnav Wadhwa India 9 197 1.2× 90 0.9× 98 1.2× 80 1.6× 64 1.4× 11 330

Countries citing papers authored by Khaled Al-Thelaya

Since Specialization
Citations

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

Fields of papers citing papers by Khaled Al-Thelaya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Khaled Al-Thelaya. 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 Khaled Al-Thelaya. The network helps show where Khaled Al-Thelaya may publish in the future.

Co-authorship network of co-authors of Khaled Al-Thelaya

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

All Works

19 of 19 papers shown
1.
Alzubaidi, Mahmood, Khaled Al-Thelaya, Corrado Calı, et al.. (2025). Advancing open-source visual analytics in digital pathology: A systematic review of tools, trends, and clinical applications. Journal of Pathology Informatics. 18. 100454–100454. 2 indexed citations
2.
Al-Thelaya, Khaled, Mahmood Alzubaidi, William Mifsud, et al.. (2025). HistoMSC: Density and topology analysis for AI-based visual annotation of histopathology whole slide images. Computers in Biology and Medicine. 190. 109991–109991.
3.
Al-Thelaya, Khaled, et al.. (2024). Multimodal Face Data Sets—A Survey of Technologies, Applications, and Contents. IEEE Access. 12. 183616–183657.
4.
5.
Al-Thelaya, Khaled, et al.. (2023). Evaluating machine learning technologies for food computing from a data set perspective. Multimedia Tools and Applications. 83(11). 32041–32068. 9 indexed citations
6.
Al-Thelaya, Khaled, et al.. (2023). Applications of discriminative and deep learning feature extraction methods for whole slide image analysis: A survey. Journal of Pathology Informatics. 14. 100335–100335. 23 indexed citations
7.
8.
Al-Thelaya, Khaled, et al.. (2022). Using machine learning to analyze the impact of coronavirus pandemic news on the stock markets in GCC countries. Research in International Business and Finance. 61. 101667–101667. 12 indexed citations
9.
Alzubaidi, Mahmood, Marco Agus, Khaled Al-Thelaya, et al.. (2022). Toward deep observation: A systematic survey on artificial intelligence techniques to monitor fetus via ultrasound images. iScience. 25(8). 104713–104713. 20 indexed citations
10.
Alzubaidi, Mahmood, et al.. (2022). A Composite Image Processing Technique to Enhance Segmentation of Ultrasound Images. 1–7. 4 indexed citations
11.
Al-Thelaya, Khaled, Marco Agus, & Jens Schneider. (2021). The Mixture Graph-A Data Structure for Compressing, Rendering, and Querying Segmentation Histograms.. PubMed. 27(2). 645–655. 7 indexed citations
12.
Al-Thelaya, Khaled, et al.. (2021). SlowDeepFood: a Food Computing Framework for Regional Gastronomy. Eurographics. 2 indexed citations
13.
Al-Thelaya, Khaled, Marco Agus, Yin Yang, et al.. (2021). InShaDe: Invariant Shape Descriptors for visual 2D and 3D cellular and nuclear shape analysis and classification. Computers & Graphics. 98. 105–125. 9 indexed citations
14.
Al-Thelaya, Khaled, Salahadin Mohammed, & El-Sayed M. El-Alfy. (2021). Combining Deep Learning and Multiresolution Analysis for Stock Market Forecasting. IEEE Access. 9. 13099–13111. 34 indexed citations
15.
Agus, Marco, Khaled Al-Thelaya, Corrado Calı, et al.. (2020). InShaDe: Invariant Shape Descriptors for Visual Analysis of Histology 2D Cellular and Nuclear Shapes. Eurographics. 1 indexed citations
16.
Al-Thelaya, Khaled, et al.. (2020). Social Networks Spam Detection Using Graph-Based Features Analysis and Sequence of Interactions Between Users. 115. 206–211. 4 indexed citations
17.
Al-Thelaya, Khaled, El-Sayed M. El-Alfy, & Salahadin Mohammed. (2019). Forecasting of Bahrain Stock Market with Deep Learning: Methodology and Case Study. 1–5. 9 indexed citations
18.
Al-Thelaya, Khaled, El-Sayed M. El-Alfy, & Salahadin Mohammed. (2018). Stock Market Forecast Using Multivariate Analysis with Bidirectional and Stacked (LSTM, GRU). 1–7. 61 indexed citations
19.
Al-Thelaya, Khaled, El-Sayed M. El-Alfy, & Salahadin Mohammed. (2018). Evaluation of bidirectional LSTM for short-and long-term stock market prediction. 151–156. 152 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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