Nayyer Aafaq

672 total citations
15 papers, 256 citations indexed

About

Nayyer Aafaq is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Nayyer Aafaq has authored 15 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 2 papers in Signal Processing. Recurrent topics in Nayyer Aafaq's work include Multimodal Machine Learning Applications (7 papers), Human Pose and Action Recognition (5 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Nayyer Aafaq is often cited by papers focused on Multimodal Machine Learning Applications (7 papers), Human Pose and Action Recognition (5 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Nayyer Aafaq collaborates with scholars based in Australia, United States and Pakistan. Nayyer Aafaq's co-authors include Ajmal Mian, Mubarak Shah, Wei Liu, Syed Zulqarnain Gilani, Naveed Akhtar, Wei Liu, Mubarak Shah, Ghulam Mubashar Hassan, Zahid Ali and Zeashan Hameed Khan and has published in prestigious journals such as IEEE Access, ACM Computing Surveys and Australasian Journal of Paramedicine.

In The Last Decade

Nayyer Aafaq

15 papers receiving 245 citations

Peers

Countries citing papers authored by Nayyer Aafaq

Since Specialization

Citations

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

Fields of papers citing papers by Nayyer Aafaq

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nayyer Aafaq

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

All Works

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15 of 15 papers shown

#	Work	Indexed citations
1	An improved YOLOv8 for foreign object debris detection with optimized architecture for small objects 2023 ·Multimedia Tools and Applications ·(unknown), (unknown), (unknown), Nayyer Aafaq, (unknown)	22
2	From Pixel to Peril: Investigating Adversarial Attacks on Aerial Imagery Through Comprehensive Review and Prospective Trajectories 2023 ·IEEE Access ·(unknown), Nayyer Aafaq, Mansoor Ahmed Khan, (unknown), (unknown)	2
3	Multi-Speaker Diarization using Long-Short Term Memory Network 2023 ·Nayyer Aafaq, (unknown), (unknown), Zeashan Hameed Khan	1
4	Synthetic Randomized Image Augmentation (SRIA) to Address Class Imbalance Problem 2023 ·(unknown), (unknown), Nayyer Aafaq	1
5	Convolutional Neural Networks for Deep Spoken Keyword Spotting 2023 ·Nayyer Aafaq, (unknown), (unknown), (unknown)	2
6	Influence of Various ML-Based Binary Classifiers on the Performance on Handwritten Digit Recognition 2023 ·(unknown), Nayyer Aafaq, (unknown), (unknown)	2
7	Adversarial Attacks on Aerial Imagery : The State-of-the-Art and Perspective 2023 ·(unknown), Nayyer Aafaq, (unknown), (unknown), Zahid Ali	1
8	Language Model Agnostic Gray-Box Adversarial Attack on Image Captioning 2022 ·IEEE Transactions on Information Forensics and Security ·Nayyer Aafaq, Naveed Akhtar, Wei Liu, Mubarak Shah, Ajmal Mian	19
9	Dense Video Captioning With Early Linguistic Information Fusion 2022 ·IEEE Transactions on Multimedia ·Nayyer Aafaq, Ajmal Mian, Naveed Akhtar, Wei Liu, Mubarak Shah	26
10	Cross-Domain Modality Fusion for Dense Video Captioning 2021 ·IEEE Transactions on Artificial Intelligence ·Nayyer Aafaq, Ajmal Mian, Wei Liu, Naveed Akhtar, Mubarak Shah	9
11	Semantic Attribute Enriched Storytelling from a Sequence of Images 2021 ·UWA Profiles and Research Repository (UWA) ·(unknown), Ghulam Mubashar Hassan, (unknown), Nayyer Aafaq, Ajmal Mian	1
12	Contextualise, Attend, Modulate and Tell: Visual Storytelling 2021 ·UWA Profiles and Research Repository (University of Western Australia) ·(unknown), Nayyer Aafaq, Ghulam Mubashar Hassan, Ajmal Mian	3
13	Empirical autopsy of deep video captioning encoder-decoder architecture 2020 ·Array ·Nayyer Aafaq, Naveed Akhtar, Wei Liu, Ajmal Mian	10
14	Video Description 2019 ·ACM Computing Surveys ·Nayyer Aafaq, Ajmal Mian, Wei Liu, Syed Zulqarnain Gilani, Mubarak Shah	105
15	Video Description: A Survey of Methods, Datasets and Evaluation Metrics 2018 ·Australasian Journal of Paramedicine ·Nayyer Aafaq, Ajmal Mian, Wei Liu, Syed Zulqarnain Gilani, Mubarak Shah	52

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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