Talha Anwar

524 total citations
26 papers, 291 citations indexed

About

Talha Anwar is a scholar working on Biomedical Engineering, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Talha Anwar has authored 26 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biomedical Engineering, 6 papers in Artificial Intelligence and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Talha Anwar's work include Advanced Chemical Sensor Technologies (6 papers), COVID-19 diagnosis using AI (5 papers) and AI in cancer detection (3 papers). Talha Anwar is often cited by papers focused on Advanced Chemical Sensor Technologies (6 papers), COVID-19 diagnosis using AI (5 papers) and AI in cancer detection (3 papers). Talha Anwar collaborates with scholars based in Pakistan, Saudi Arabia and China. Talha Anwar's co-authors include Irfan Ullah Khan, Nida Aslam, Sumayh S. Aljameel, Nadeem Akhtar, Rafiullah Khan, Mohib Ullah, Hind S. Alsaif, Chaoxu Mu, Євген Зайцев and Hammad Naveed and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Nuclear Physics B.

In The Last Decade

Talha Anwar

25 papers receiving 278 citations

Peers

Talha Anwar
Talha Anwar
Citations per year, relative to Talha Anwar Talha Anwar (= 1×) peers Jatinder Manhas

Countries citing papers authored by Talha Anwar

Since Specialization
Citations

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

Fields of papers citing papers by Talha Anwar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Talha Anwar

This figure shows the co-authorship network connecting the top 25 collaborators of Talha Anwar. A scholar is included among the top collaborators of Talha Anwar 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 Talha Anwar. Talha Anwar 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
1.
Anwar, Talha, et al.. (2025). Quality assessment of chicken using machine learning and electronic nose. Sensing and Bio-Sensing Research. 47. 100739–100739. 6 indexed citations
2.
Anwar, Talha, et al.. (2025). Gravitational lensing and shadows of dilatonic black holes in dilaton-massive gravity. Nuclear Physics B. 1018. 117075–117075. 4 indexed citations
3.
Anwar, Talha, et al.. (2025). Gravitational lensing, shadow images and accretion dynamics of dark photon corrected black holes. Annals of Physics. 485. 170302–170302. 1 indexed citations
4.
Anwar, Talha, et al.. (2025). Robust fault detection and classification in power transmission lines via ensemble machine learning models. Scientific Reports. 15(1). 2549–2549. 9 indexed citations
5.
Bougourzi, Fares, Cosimo Distante, Fadi Dornaika, et al.. (2024). COVID-19 Infection Percentage Estimation from Computed Tomography Scans: Results and Insights from the International Per-COVID-19 Challenge. Sensors. 24(5). 1557–1557. 1 indexed citations
6.
Anwar, Talha, et al.. (2024). APPLICATION OF ELECTRONIC NOSE AND MACHINE LEARNING IN DETERMINING FRUITS QUALITY: A REVIEW. The Journal of Animal and Plant Sciences. 34(2). 283–290. 4 indexed citations
7.
Anwar, Talha, et al.. (2023). LSNet: a novel CNN architecture to identify wrist fracture from a small X-ray dataset. International Journal of Information Technology. 15(5). 2469–2477. 10 indexed citations
9.
Anwar, Talha, et al.. (2023). Review on food quality assessment using machine learning and electronic nose system. Biosensors and Bioelectronics X. 14. 100365–100365. 48 indexed citations
10.
Khan, Irfan Ullah, et al.. (2022). Using a Deep Learning Model to Explore the Impact of Clinical Data on COVID-19 Diagnosis Using Chest X-ray. Sensors. 22(2). 669–669. 22 indexed citations
11.
Anwar, Talha, et al.. (2021). Effect of Image Augmentation on ECG Image Classification using Deep Learning. 182–186. 24 indexed citations
12.
Anwar, Talha. (2021). Identify Hate Speech Spreaders on Twitter using Transformer Embeddings Features and AutoML Classifiers.. CLEF (Working Notes). 1808–1812.
13.
Anwar, Talha, et al.. (2021). A Generic Approach for Classification of Psychological Disorders Diagnosis using EEG. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2021. 2025–2029. 4 indexed citations
14.
Anwar, Talha, et al.. (2021). Beef quality assessment using AutoML. 1–4. 4 indexed citations
15.
Anwar, Talha. (2021). COVID19 Diagnosis using AutoML from 3D CT scans. 503–507. 12 indexed citations
16.
Anwar, Talha, et al.. (2020). Deep learning based diagnosis of COVID-19 using chest CT-scan images. 1–5. 44 indexed citations
18.
Anwar, Talha, Ignacio Vieto, & Jian Sun. (2017). Automated sequence impedance modeling of three-phase converters based on computer algebra. IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society. 24. 904–909. 1 indexed citations
19.
Ali, Kamran, et al.. (2015). Composite event detection and identification for WSNs using General Hebbian Algorithm. 6463–6468. 4 indexed citations
20.
Anwar, Talha, Sohail Asghar, & Simon Fong. (2011). Bayesian based subgroup discovery. 4213. 154–161. 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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