Shereen Fouad

458 total citations
21 papers, 235 citations indexed

About

Shereen Fouad is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Shereen Fouad has authored 21 papers receiving a total of 235 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 5 papers in Computer Networks and Communications. Recurrent topics in Shereen Fouad's work include Image Retrieval and Classification Techniques (6 papers), AI in cancer detection (5 papers) and Medical Image Segmentation Techniques (3 papers). Shereen Fouad is often cited by papers focused on Image Retrieval and Classification Techniques (6 papers), AI in cancer detection (5 papers) and Medical Image Segmentation Techniques (3 papers). Shereen Fouad collaborates with scholars based in United Kingdom, United Arab Emirates and Egypt. Shereen Fouad's co-authors include Peter Tiňo, Gabriel Landini, David Randell, Antony Galton, Somak Raychaudhury, Petra Schneider, Hisham Mehanna, Paul Kearney, Arvind Rajasekaran and Max Robinson and has published in prestigious journals such as PLoS ONE, Journal of Cleaner Production and Neural Computation.

In The Last Decade

Shereen Fouad

21 papers receiving 225 citations

Peers

Shereen Fouad

CVPR

RNMI

CNC

Zuojin Hu China

Mahesh Thyluru Ramakrishna India

C. Gunavathi India

Serkan Savaş Türkiye

Kun Lan China

Nitesh Pradhan India

Guanghua Tan China

Saeed Ali Bahaj Saudi Arabia

Neetu Mittal India

Zuojin Hu China

Shereen Fouad

81 ×0.7

65 ×0.9

CVPR

68 ×1.6

RNMI

10 ×0.6

CNC

11 ×0.7

Citations per year, relative to Shereen Fouad Shereen Fouad (= 1×) peers Zuojin Hu

Countries citing papers authored by Shereen Fouad

Since Specialization

Citations

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

Fields of papers citing papers by Shereen Fouad

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shereen Fouad

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

Fouad, Shereen, et al.. (2024). CHERIE: User-Centred Development of an XAI System for Chest Radiology through Co-Design. Electronic workshops in computing. 1 indexed citations

Fouad, Shereen, et al.. (2024). Evaluating Explainable Artificial Intelligence (XAI) techniques in chest radiology imaging through a human-centered Lens. PLoS ONE. 19(10). e0308758–e0308758. 9 indexed citations

Bigdeli, Ali Ziaee, Andreas Schroeder, Tim Baines, et al.. (2024). Unpacking the triple Nexus: Environmental performance, economic performance and servitization – A systematic review and theoretical reflections. Journal of Cleaner Production. 457. 142459–142459. 6 indexed citations

Fouad, Shereen, et al.. (2023). A review of natural language processing in contact centre automation. Pattern Analysis and Applications. 26(3). 823–846. 9 indexed citations

Fouad, Shereen, et al.. (2023). Sentiment Analysis for Women in STEM using Twitter and Transfer Learning Models. 227–234. 4 indexed citations

Kearney, Paul, et al.. (2022). A machine learning approach for detecting fast flux phishing hostnames. Journal of Information Security and Applications. 65. 103125–103125. 11 indexed citations

Fouad, Shereen, et al.. (2021). Human papilloma virus detection in oropharyngeal carcinomas with in situ hybridisation using hand crafted morphological features and deep central attention residual networks. Computerized Medical Imaging and Graphics. 88. 101853–101853. 9 indexed citations

Fouad, Shereen, et al.. (2021). Intrusion Detection for Industrial Control Systems by Machine Learning using Privileged Information. BCU Open Access Repository (Birmingham City University). 1–6. 3 indexed citations

Landini, Gabriel, Antony Galton, David Randell, & Shereen Fouad. (2019). Novel applications of discrete mereotopology to mathematical morphology. Signal Processing Image Communication. 76. 109–117. 4 indexed citations

10.

Landini, Gabriel, et al.. (2019). Epithelial Segmentation From In Situ Hybridisation Histological Samples Using A Deep Central Attention Learning Approach. University of Birmingham Research Portal (University of Birmingham). 1527–1531. 4 indexed citations

11.

Fouad, Shereen, et al.. (2018). Imaging and machine learning methods for assessing HPV in situ hybridisation patterns in oropharyngeal carcinomas. BCU Open Access Repository (Birmingham City University). 2 indexed citations

12.

Landini, Gabriel, Shereen Fouad, Antony Galton, & David Randell. (2018). Epithelium and stroma segmentation using multiscale superpixel clustering.. BCU Open Access Repository (Birmingham City University). 1 indexed citations

13.

Fouad, Shereen, David Randell, Antony Galton, Hisham Mehanna, & Gabriel Landini. (2017). Unsupervised morphological segmentation of tissue compartments in histopathological images. PLoS ONE. 12(11). e0188717–e0188717. 24 indexed citations

14.

Fouad, Shereen, David Randell, Antony Galton, Hisham Mehanna, & Gabriel Landini. (2017). Epithelium and Stroma Identification in Histopathological Images Using Unsupervised and Semi-Supervised Superpixel-Based Segmentation. Journal of Imaging. 3(4). 61–61. 6 indexed citations

15.

Randell, David, Antony Galton, Shereen Fouad, Hisham Mehanna, & Gabriel Landini. (2017). Mereotopological Correction of Segmentation Errors in Histological Imaging. Journal of Imaging. 3(4). 63–63. 5 indexed citations

16.

Shen, Yuan, Shereen Fouad, Caroline Di Bernardi Luft, et al.. (2016). Classifying Cognitive Profiles Using Machine Learning with Privileged Information in Mild Cognitive Impairment. Frontiers in Computational Neuroscience. 10. 117–117. 14 indexed citations

17.

Landini, Gabriel, David Randell, Shereen Fouad, & Antony Galton. (2016). Automatic thresholding from the gradients of region boundaries. Journal of Microscopy. 265(2). 185–195. 41 indexed citations

18.

Fouad, Shereen, Peter Tiňo, Somak Raychaudhury, & Petra Schneider. (2013). Incorporating Privileged Information Through Metric Learning. IEEE Transactions on Neural Networks and Learning Systems. 24(7). 1086–1098. 50 indexed citations

19.

Fouad, Shereen & Peter Tiňo. (2012). Adaptive Metric Learning Vector Quantization for Ordinal Classification. Neural Computation. 24(11). 2825–2851. 18 indexed citations

20.

Fouad, Shereen, Omar H. Karam, & Mohamed El‐Sharkawy. (2005). A parallel view maintenance algorithm for complete consistency. University of Birmingham Research Portal (University of Birmingham). 140–143. 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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