Tehseen Zia

1.3k total citations
50 papers, 875 citations indexed

About

Tehseen Zia is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Tehseen Zia has authored 50 papers receiving a total of 875 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 21 papers in Computer Vision and Pattern Recognition and 9 papers in Signal Processing. Recurrent topics in Tehseen Zia's work include Adversarial Robustness in Machine Learning (5 papers), Face and Expression Recognition (5 papers) and COVID-19 diagnosis using AI (5 papers). Tehseen Zia is often cited by papers focused on Adversarial Robustness in Machine Learning (5 papers), Face and Expression Recognition (5 papers) and COVID-19 diagnosis using AI (5 papers). Tehseen Zia collaborates with scholars based in Pakistan, United Kingdom and China. Tehseen Zia's co-authors include Adeel Zaidi, Mubeen Ghafoor, Dietmar Bruckner, Qaiser Abbas, Muhammad Pervez Akhter, Friederich Kupzog, Ghufran Ahmed, M. Saqib Nawaz, M. Ikram Ullah Lali and David Windridge and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Access.

In The Last Decade

Tehseen Zia

48 papers receiving 824 citations

Peers

Tehseen Zia

CVPR

EEE

RNMI

Mubarak Alrashoud Saudi Arabia

Sadaqat Ur Rehman China

Daniel Sierra-Sosa United States

Thompson Stephan India

Fahad Taha AL‐Dhief Malaysia

Daeyoung Kim South Korea

Deepak Kumar Sharma India

Almas Abbasi Pakistan

Kishor Datta Gupta United States

Dat Tien Nguyen South Korea

Mubarak Alrashoud Saudi Arabia

Tehseen Zia

481 ×1.4

107 ×0.5

CVPR

195 ×1.1

EEE

92 ×0.6

RNMI

128 ×1.1

Citations per year, relative to Tehseen Zia Tehseen Zia (= 1×) peers Mubarak Alrashoud

Countries citing papers authored by Tehseen Zia

Since Specialization

Citations

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

Fields of papers citing papers by Tehseen Zia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tehseen Zia

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

Siddiqui, Ammar Ahmed, Santosh Tirunagari, Tehseen Zia, & David Windridge. (2025). A latent diffusion approach to visual attribution in medical imaging. Scientific Reports. 15(1). 962–962.

Zia, Tehseen, et al.. (2024). Faithful Counterfactual Visual Explanations (FCVE). Knowledge-Based Systems. 294. 111668–111668. 1 indexed citations

Zia, Tehseen, et al.. (2024). An inherently interpretable deep learning model for local explanations using visual concepts. PLoS ONE. 19(10). e0311879–e0311879. 2 indexed citations

Zia, Tehseen, et al.. (2023). Visual attribution using Adversarial Latent Transformations. Computers in Biology and Medicine. 166. 107521–107521. 2 indexed citations

Zia, Tehseen, et al.. (2022). Analyzing Transfer Learning of Vision Transformers for Interpreting Chest Radiography. Journal of Digital Imaging. 35(6). 1445–1462. 49 indexed citations

Zia, Tehseen & David Windridge. (2021). A generative adversarial network for single and multi-hop distributional knowledge base completion. Neurocomputing. 461. 543–551. 3 indexed citations

Zia, Tehseen, et al.. (2021). Multi-view Convolutional Recurrent Neural Networks for Lung Cancer Nodule Identification. Neurocomputing. 453. 299–311. 35 indexed citations

Abideen, Zain Ul, Mubeen Ghafoor, Kamran Munir, et al.. (2020). Uncertainty Assisted Robust Tuberculosis Identification With Bayesian Convolutional Neural Networks. IEEE Access. 8. 22812–22825. 67 indexed citations

Ghafoor, Mubeen, et al.. (2020). Multi-Feature View-Based Shallow Convolutional Neural Network for Road Segmentation. IEEE Access. 8. 36612–36623. 19 indexed citations

10.

Zia, Tehseen, Assad Abbas, Usman Habib, & M. Sajid Khan. (2020). Learning deep hierarchical and temporal recurrent neural networks with residual learning. International Journal of Machine Learning and Cybernetics. 11(4). 873–882. 8 indexed citations

11.

Ghafoor, Mubeen, et al.. (2019). Fingerprint Identification With Shallow Multifeature View Classifier. IEEE Transactions on Cybernetics. 51(9). 4515–4527. 11 indexed citations

12.

Ghafoor, Mubeen, et al.. (2019). High Efficiency Video Coding (HEVC)–Based Surgical Telementoring System Using Shallow Convolutional Neural Network. Journal of Digital Imaging. 32(6). 1027–1043. 15 indexed citations

13.

Ghafoor, Mubeen, et al.. (2019). Face recognition with Bayesian convolutional networks for robust surveillance systems. EURASIP Journal on Image and Video Processing. 2019(1). 41 indexed citations

14.

Zia, Tehseen, et al.. (2017). Source Code Author Attribution Using Author’s Programming Style and Code Smells. International Journal of Intelligent Systems and Applications. 9(5). 27–33. 10 indexed citations

15.

Ghafoor, Mubeen, et al.. (2017). Massively parallel palmprint identification system using GPU. Cluster Computing. 22(S3). 7201–7216. 6 indexed citations

16.

Zia, Tehseen, Muhammad Pervez Akhter, & Qaiser Abbas. (2015). Comparative Study of Feature Selection Approaches for Urdu Text Categorization. Malaysian Journal of Computer Science. 28(2). 93–109. 50 indexed citations

17.

Zia, Tehseen, et al.. (2015). Evaluation of Feature Selection Approaches for Urdu Text Categorization. International Journal of Intelligent Systems and Applications. 7(6). 33–40. 30 indexed citations

18.

Zia, Tehseen, et al.. (2014). An Empirical Study On Sentiment Polarity Classification Of Book Reviews. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 3(1). 1–7. 1 indexed citations

19.

Zia, Tehseen, Dietmar Bruckner, & Adeel Zaidi. (2011). A hidden Markov model based procedure for identifying household electric loads. 3218–3223. 98 indexed citations

20.

Kupzog, Friederich, Tehseen Zia, & Adeel Zaidi. (2009). Automatic electric load identification in self-configuring microgrids. 1–5. 15 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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