Bilal Taha

939 total citations · 1 hit paper
32 papers, 589 citations indexed

About

Bilal Taha is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Ocean Engineering. According to data from OpenAlex, Bilal Taha has authored 32 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 8 papers in Aerospace Engineering and 7 papers in Ocean Engineering. Recurrent topics in Bilal Taha's work include Geophysical Methods and Applications (7 papers), Advanced SAR Imaging Techniques (7 papers) and ECG Monitoring and Analysis (4 papers). Bilal Taha is often cited by papers focused on Geophysical Methods and Applications (7 papers), Advanced SAR Imaging Techniques (7 papers) and ECG Monitoring and Analysis (4 papers). Bilal Taha collaborates with scholars based in Canada, United Arab Emirates and United States. Bilal Taha's co-authors include Abdulhadi Shoufan, Naoufel Werghi, Dimitrios Hatzinakos, Jorge Dias, Ansar-Ul-Haque Yasar, Faouzi Kamoun, Fatma Outay, Megan Kirk, Paul Ritvo and Brian H. Dennis and has published in prestigious journals such as IEEE Access, Pattern Recognition Letters and IEEE Transactions on Information Forensics and Security.

In The Last Decade

Bilal Taha

29 papers receiving 568 citations

Hit Papers

Machine Learning-Based Drone Detection and Classification... 2019 2026 2021 2023 2019 50 100 150 200

Peers

Bilal Taha
Simon Stent United States
Feng Jin China
Vps Naidu India
Shijie Li China
Jack Sim United States
Bilal Taha
Citations per year, relative to Bilal Taha Bilal Taha (= 1×) peers Ruohong Huan

Countries citing papers authored by Bilal Taha

Since Specialization
Citations

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

Fields of papers citing papers by Bilal Taha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bilal Taha

This figure shows the co-authorship network connecting the top 25 collaborators of Bilal Taha. A scholar is included among the top collaborators of Bilal Taha 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 Bilal Taha. Bilal Taha 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
2.
Taha, Bilal, et al.. (2025). Multimodal biometric authentication using camera-based PPG and fingerprint fusion. Pattern Recognition Letters. 197. 1–7. 2 indexed citations
3.
Taha, Bilal, et al.. (2024). Link, Synthesize, Retrieve: Universal Document Linking for Zero-Shot Information Retrieval. 18971–18982. 1 indexed citations
4.
Taha, Bilal, et al.. (2024). CDFL: Efficient Federated Human Activity Recognition Using Contrastive Learning and Deep Clustering. IEEE Sensors Journal. 24(22). 38196–38208. 4 indexed citations
5.
Taha, Bilal, et al.. (2023). EyeDrive: A Deep Learning Model for Continuous Driver Authentication. IEEE Journal of Selected Topics in Signal Processing. 17(3). 637–647. 7 indexed citations
7.
Taha, Bilal, et al.. (2023). EEG Emotion Recognition Via Ensemble Learning Representations. 1–5. 2 indexed citations
9.
Taha, Bilal, et al.. (2021). PBGAN: Learning PPG Representations From GAN for Time-Stable and Unique Verification System. IEEE Transactions on Information Forensics and Security. 16. 5124–5137. 13 indexed citations
11.
Taha, Bilal, Munawar Hayat, Stefano Berretti, & Naoufel Werghi. (2020). Fused Geometry Augmented Images For Analyzing Textured Mesh. Florence Research (University of Florence). 9. 2651–2655.
12.
Taha, Bilal, et al.. (2019). Learned Micro-Doppler Representations for Targets Classification Based on Spectrogram Images. IEEE Access. 7. 139377–139387. 10 indexed citations
13.
Outay, Fatma, et al.. (2019). Estimating ambient visibility in the presence of fog: a deep convolutional neural network approach. Personal and Ubiquitous Computing. 25(1). 51–62. 18 indexed citations
14.
Taha, Bilal, et al.. (2018). Classification of ground moving radar targets using convolutional neural network. 127–130. 8 indexed citations
15.
Taha, Bilal, et al.. (2018). SAR Automatic Target Recognition Using Transfer Learning Approach. 18 indexed citations
17.
Taha, Bilal, Jorge Dias, & Naoufel Werghi. (2017). Convolutional neural networkasa feature extractor for automatic polyp detection. 2060–2064. 11 indexed citations
18.
Elayan, Hadeel, et al.. (2015). Leveraging the ℓ1-LS criterion for OFDM sparse wireless channel estimation. 1. 845–849. 5 indexed citations
19.
Taha, Bilal, et al.. (2015). Superresolution algorithm for satellite still images. 6. 48–51. 2 indexed citations
20.
Taha, Bilal, et al.. (2015). Sparse NLMS adaptive algorithms for multipath wireless channel estimation. 839–844. 4 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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