Tahmina Zebin

946 total citations
19 papers, 631 citations indexed

About

Tahmina Zebin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Tahmina Zebin has authored 19 papers receiving a total of 631 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 5 papers in Biomedical Engineering. Recurrent topics in Tahmina Zebin's work include Context-Aware Activity Recognition Systems (6 papers), Machine Learning in Healthcare (3 papers) and Time Series Analysis and Forecasting (3 papers). Tahmina Zebin is often cited by papers focused on Context-Aware Activity Recognition Systems (6 papers), Machine Learning in Healthcare (3 papers) and Time Series Analysis and Forecasting (3 papers). Tahmina Zebin collaborates with scholars based in United Kingdom, Bangladesh and Ireland. Tahmina Zebin's co-authors include Shahadate Rezvy, Krikor Ozanyan, Patricia Scully, Yuan Luo, Alexander J. Casson, Niels Peek, Matthew Sperrin, Aboubaker Lasebae, Miltos Petridis and Thierry Chaussalet and has published in prestigious journals such as IEEE Access, IEEE Transactions on Information Forensics and Security and Neural Computing and Applications.

In The Last Decade

Tahmina Zebin

18 papers receiving 601 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tahmina Zebin United Kingdom 10 288 217 216 123 116 19 631
Muhammad Sheikh Sadi Bangladesh 13 112 0.4× 172 0.8× 101 0.5× 163 1.3× 55 0.5× 55 664
M. Jamal Deen Canada 7 204 0.7× 153 0.7× 142 0.7× 98 0.8× 56 0.5× 8 617
Khaled Alnowaiser Saudi Arabia 14 191 0.7× 229 1.1× 45 0.2× 63 0.5× 77 0.7× 38 579
Turke Althobaiti Saudi Arabia 15 99 0.3× 112 0.5× 82 0.4× 45 0.4× 130 1.1× 35 469
Rajkumar Tekchandani India 14 186 0.6× 115 0.5× 144 0.7× 41 0.3× 25 0.2× 31 584
Hiren Kumar Thakkar India 14 116 0.4× 158 0.7× 112 0.5× 36 0.3× 150 1.3× 42 616
Necaattin Barışçı Türkiye 12 90 0.3× 132 0.6× 61 0.3× 120 1.0× 56 0.5× 57 525
Ashok Ghatol India 16 331 1.1× 138 0.6× 51 0.2× 27 0.2× 103 0.9× 73 884
Abdulwahab Alazeb Saudi Arabia 16 171 0.6× 392 1.8× 80 0.4× 24 0.2× 104 0.9× 50 749
Azrina Abd Aziz Malaysia 14 108 0.4× 120 0.6× 345 1.6× 29 0.2× 44 0.4× 67 747

Countries citing papers authored by Tahmina Zebin

Since Specialization
Citations

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

Fields of papers citing papers by Tahmina Zebin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tahmina Zebin

This figure shows the co-authorship network connecting the top 25 collaborators of Tahmina Zebin. A scholar is included among the top collaborators of Tahmina Zebin 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 Tahmina Zebin. Tahmina Zebin 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.
2.
Iglesia, Beatriz de la, et al.. (2023). Evaluating the Use of Interpretable Quantized Convolutional Neural Networks for Resource-Constrained Deployment. UEA Digital Repository (University of East Anglia). 1 indexed citations
3.
Iglesia, Beatriz de la, et al.. (2023). An Agricultural Precision Sprayer Deposit Identification System. Brunel University Research Archive (BURA) (Brunel University London). 1–6. 1 indexed citations
4.
Zebin, Tahmina, Shahadate Rezvy, & Yuan Luo. (2022). An Explainable AI-Based Intrusion Detection System for DNS Over HTTPS (DoH) Attacks. IEEE Transactions on Information Forensics and Security. 17. 2339–2349. 93 indexed citations
5.
Rezvy, Shahadate, Tahmina Zebin, Barbara Braden, et al.. (2020). Transfer learning for endoscopy disease detection and segmentation with MASk-RCNN benchmark architecture. Middlesex University Research Repository (Middlesex University Of London). 2595. 68–72. 4 indexed citations
6.
Zebin, Tahmina & Shahadate Rezvy. (2020). COVID-19 detection and disease progression visualization: Deep learning on chest X-rays for classification and coarse localization. Applied Intelligence. 51(2). 1010–1021. 118 indexed citations
7.
Rezvy, Shahadate, Tahmina Zebin, Barbara Braden, et al.. (2020). Transfer Learning For Endoscopy Disease Detection & Segmentation With Mask-RCNN Benchmark Architecture.. 68–72. 4 indexed citations
8.
Zebin, Tahmina, et al.. (2019). Implementation of a batch normalized deep LSTM recurrent network on a smartphone for human activity recognition. Research Explorer (The University of Manchester). 1–4. 3 indexed citations
9.
Zebin, Tahmina, Patricia Scully, Niels Peek, Alexander J. Casson, & Krikor Ozanyan. (2019). Design and Implementation of a Convolutional Neural Network on an Edge Computing Smartphone for Human Activity Recognition. IEEE Access. 7. 133509–133520. 69 indexed citations
10.
Rezvy, Shahadate, Yuan Luo, Miltos Petridis, Aboubaker Lasebae, & Tahmina Zebin. (2019). An efficient deep learning model for intrusion classification and prediction in 5G and IoT networks. UEA Digital Repository (University of East Anglia). 1–6. 74 indexed citations
11.
Zebin, Tahmina, Niels Peek, & Alexander J. Casson. (2019). Physical activity based classification of serious mental illness group participants in the UK Biobank using ensemble dense neural networks. PubMed. 2019. 1251–1254. 9 indexed citations
12.
Zebin, Tahmina & Thierry Chaussalet. (2019). Design and implementation of a deep recurrent model for prediction of readmission in urgent care using electronic health records. UEA Digital Repository (University of East Anglia). 1–5. 12 indexed citations
13.
Zebin, Tahmina, Shahadate Rezvy, & Thierry Chaussalet. (2019). A deep learning approach for length of stay prediction in clinical settings from medical records. Middlesex University Research Repository (Middlesex University Of London). 1–5. 8 indexed citations
14.
Zebin, Tahmina, Matthew Sperrin, Niels Peek, & Alexander J. Casson. (2018). Human activity recognition from inertial sensor time-series using batch normalized deep LSTM recurrent networks. PubMed. 2018. 1–4. 76 indexed citations
15.
Zebin, Tahmina, Patricia Scully, & Krikor Ozanyan. (2017). Evaluation of supervised classification algorithms for human activity recognition with inertial sensors. UEA Digital Repository (University of East Anglia). 1–3. 27 indexed citations
16.
Zebin, Tahmina, Patricia Scully, & Krikor Ozanyan. (2016). Human activity recognition with inertial sensors using a deep learning approach. Research Explorer (The University of Manchester). 1–3. 101 indexed citations
17.
Zebin, Tahmina, Patricia Scully, & Krikor Ozanyan. (2015). Inertial sensing for gait analysis and the scope for sensor fusion. Research Explorer (The University of Manchester). 1–4. 8 indexed citations
18.
Zebin, Tahmina, et al.. (2012). Modeling and Control of a Two-link Flexible Manipulator using Fuzzy Logic and Genetic Optimization Techniques. Journal of Computers. 7(3). 16 indexed citations
19.
Zebin, Tahmina & M. S. Alam. (2010). Dynamic modeling and fuzzy logic control of a two-link flexible manipulator using genetic optimization techniques. UEA Digital Repository (University of East Anglia). 418–423. 7 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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