Aun Irtaza

3.7k total citations · 1 hit paper
101 papers, 2.5k citations indexed

About

Aun Irtaza is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Aun Irtaza has authored 101 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Computer Vision and Pattern Recognition, 37 papers in Artificial Intelligence and 18 papers in Signal Processing. Recurrent topics in Aun Irtaza's work include Music and Audio Processing (16 papers), Video Analysis and Summarization (15 papers) and Advanced Image and Video Retrieval Techniques (14 papers). Aun Irtaza is often cited by papers focused on Music and Audio Processing (16 papers), Video Analysis and Summarization (15 papers) and Advanced Image and Video Retrieval Techniques (14 papers). Aun Irtaza collaborates with scholars based in Pakistan, United States and South Korea. Aun Irtaza's co-authors include Ali Javed, Muhammad Tariq Mahmood, Hafiz Malik, Khalid Mahmood Malik, Marriam Nawaz, Tahira Nazir, Nudrat Nida, Momina Masood, Muhammad Haroon Yousaf and Saleh Albahli and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Aun Irtaza

97 papers receiving 2.4k citations

Hit Papers

1 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Deepfakes generation and detection: state-of-the-art, open challenges, countermeasures, and way forward

2022 256 citations Momina Masood, Marriam Nawaz et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Aun Irtaza Pakistan	27	1.2k	789	362	345	250	101	2.5k
Ali Javed Pakistan	28	1.2k 1.0×	771 1.0×	351 1.0×	414 1.2×	146 0.6×	122	2.6k
Mohd Shafry Mohd Rahim Malaysia	28	1.1k 0.9×	627 0.8×	376 1.0×	137 0.4×	172 0.7×	156	2.2k
Adi Alhudhaif Saudi Arabia	27	513 0.4×	630 0.8×	242 0.7×	141 0.4×	142 0.6×	106	2.0k
Mohammad Shorfuzzaman Saudi Arabia	28	510 0.4×	714 0.9×	443 1.2×	64 0.2×	99 0.4×	108	2.3k
Chiranji Lal Chowdhary India	21	465 0.4×	821 1.0×	410 1.1×	215 0.6×	77 0.3×	56	1.9k
Ayyaz Hussain Pakistan	21	567 0.5×	571 0.7×	266 0.7×	78 0.2×	232 0.9×	79	1.5k
Parvathaneni Naga Srinivasu India	21	385 0.3×	673 0.9×	274 0.8×	80 0.2×	65 0.3×	56	1.8k
Sameem Abdul Kareem Malaysia	23	500 0.4×	614 0.8×	266 0.7×	62 0.2×	71 0.3×	104	1.7k
Dag Johansen Norway	23	881 0.7×	784 1.0×	584 1.6×	176 0.5×	71 0.3×	156	2.6k
Ahmed Ghoneim Saudi Arabia	32	670 0.5×	1.0k 1.3×	298 0.8×	189 0.5×	71 0.3×	78	2.9k

Countries citing papers authored by Aun Irtaza

Since Specialization

Citations

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

Fields of papers citing papers by Aun Irtaza

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aun Irtaza

This figure shows the co-authorship network connecting the top 25 collaborators of Aun Irtaza. A scholar is included among the top collaborators of Aun Irtaza 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 Aun Irtaza. Aun Irtaza is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Javed, Ali, et al.. (2025). DeepEvader: An evasion tool for exposing the vulnerability of deepfake detectors using transferable facial distraction blackbox attack. Engineering Applications of Artificial Intelligence. 145. 110276–110276. 2 indexed citations

Mahum, Rabbia, et al.. (2024). DeepDet: YAMNet with BottleNeck Attention Module (BAM) for TTS synthesis detection. EURASIP Journal on Audio Speech and Music Processing. 2024(1). 8 indexed citations

Javed, Ali, et al.. (2024). A deep learning model for FaceSwap and face-reenactment deepfakes detection. Applied Soft Computing. 162. 111854–111854. 7 indexed citations

Malik, Hafiz, et al.. (2024). Enhancing ECU identification security in CAN networks using distortion modeling and neural networks. Frontiers in Computer Science. 6. 2 indexed citations

Ahmad, Wakeel, Syed Muhammad Adnan, & Aun Irtaza. (2023). Local triangular-ternary pattern: a novel feature descriptor for plant leaf disease detection. Multimedia Tools and Applications. 83(7). 20215–20241. 8 indexed citations

Albahli, Saleh, et al.. (2023). An improved DenseNet model for prediction of stock market using stock technical indicators. Expert Systems with Applications. 232. 120903–120903. 13 indexed citations

Ahmed, Zaheer, et al.. (2022). An Improved Deep Learning Approach for Heart Attack Detection from Digital Images. 1. 261–266. 2 indexed citations

Albahli, Saleh, et al.. (2022). A deep learning method DCWR with HANet for stock market prediction using news articles. Complex & Intelligent Systems. 8(3). 2471–2487. 11 indexed citations

Albahli, Saleh, et al.. (2022). Pandemic Analysis and Prediction of COVID-19 Using Gaussian Doubling Times. Computers, materials & continua/Computers, materials & continua (Print). 72(1). 833–849. 3 indexed citations

10.

Nazir, Tahira, Aun Irtaza, & В. В. Старовойтов. (2021). Optic Disc and Optic Cup Segmentation for Glaucoma Detection from Blur Retinal Images Using Improved Mask-RCNN. International Journal of Optics. 2021. 1–12. 23 indexed citations

11.

Mahum, Rabbia, Aun Irtaza, Marriam Nawaz, et al.. (2021). A generic framework for Generation of Summarized Video Clips using Transfer Learning (SumVClip). 1–8. 7 indexed citations

12.

Iqbal, Zeshan, et al.. (2021). Head Node Selection Algorithm in Cloud Computing Data Center. Mathematical Problems in Engineering. 2021. 1–12. 5 indexed citations

13.

Javed, Ali, Khalid Mahmood Malik, Aun Irtaza, & Hafiz Malik. (2021). Towards protecting cyber-physical and IoT systems from single- and multi-order voice spoofing attacks. Applied Acoustics. 183. 108283–108283. 36 indexed citations

14.

Javed, Ali, et al.. (2021). A Robust Approach for Blur and Sharp Regions’ Detection Using Multisequential Deviated Patterns. International Journal of Optics. 2021. 1–13. 3 indexed citations

15.

Malik, Hafiz, Rigel Gjomemo, V. N. Venkatakrishnan, Rashid Ansari, & Aun Irtaza. (2020). Remote Check Truncation Systems: Vulnerability Analysis and Countermeasures. IEEE Access. 8. 59485–59510.

16.

Irtaza, Aun, et al.. (2020). An augmented reality based Virtual dressing room using Haarcascades Classifier. 1–6. 8 indexed citations

17.

Javed, Ali, Khalid Mahmood Malik, Aun Irtaza, & Hafiz Malik. (2020). A decision tree framework for shot classification of field sports videos. The Journal of Supercomputing. 76(9). 7242–7267. 18 indexed citations

18.

Nida, Nudrat, Muhammad Haroon Yousaf, Aun Irtaza, & Sergio A. Velastín. (2019). Instructor Activity Recognition through Deep Spatiotemporal Features and Feedforward Extreme Learning Machines. Mathematical Problems in Engineering. 2019(1). 25 indexed citations

19.

Mahmood, Toqeer, Aun Irtaza, Zahid Mehmood, & Muhammad Tariq Mahmood. (2017). Copy–move forgery detection through stationary wavelets and local binary pattern variance for forensic analysis in digital images. Forensic Science International. 279. 8–21. 60 indexed citations

20.

Irtaza, Aun, M. Arfan Jaffar, & Mannan Saeed Muhammad. (2013). Content based image retrieval in a web 3.0 environment. Multimedia Tools and Applications. 74(14). 5055–5072. 11 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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