Anas Zafar

768 total citations
4 papers, 18 citations indexed

About

Anas Zafar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Social Psychology. According to data from OpenAlex, Anas Zafar has authored 4 papers receiving a total of 18 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Social Psychology. Recurrent topics in Anas Zafar's work include Anomaly Detection Techniques and Applications (2 papers), Image and Signal Denoising Methods (1 paper) and Emotion and Mood Recognition (1 paper). Anas Zafar is often cited by papers focused on Anomaly Detection Techniques and Applications (2 papers), Image and Signal Denoising Methods (1 paper) and Emotion and Mood Recognition (1 paper). Anas Zafar collaborates with scholars based in Hong Kong, Pakistan and Austria. Anas Zafar's co-authors include Rizwan Qureshi, Mubarak Shah, Sheheryar Khan, Shah Nawaz, Hong Yan, Xinqi Fan, Hazrat Ali, Pingjun Chen, Jia Wu and Muhammad Usama and has published in prestigious journals such as IEEE Transactions on Image Processing.

In The Last Decade

Anas Zafar

3 papers receiving 16 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anas Zafar Hong Kong	3	14	6	5	2	2	4	18
Dan Rosenbaum Israel	3	17 1.2×	4 0.7×	5 1.0×			3	21
Michel Deudon Netherlands	3	8 0.6×	6 1.0×	6 1.2×			3	15
Wooyeong Cho South Korea	3	9 0.6×	5 0.8×	5 1.0×			7	17
Ankit Shukla India	4	15 1.1×	11 1.8×	2 0.4×			8	22
R. Teixeira De Lima United States	2	15 1.1×	4 0.7×	2 0.4×			4	22
Petro Liashchynskyi Ukraine	3	10 0.7×	3 0.5×	9 1.8×			6	23
Tai Hu China	3	9 0.6×	2 0.3×	4 0.8×			7	17
Ravin Kumar India	3	11 0.8×	2 0.3×	6 1.2×			8	19
Yuxiang Peng China	3	16 1.1×	2 0.3×	7 1.4×			4	23

Countries citing papers authored by Anas Zafar

Since Specialization

Citations

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

Fields of papers citing papers by Anas Zafar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anas Zafar

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

All Works

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4 of 4 papers shown

1.

Zafar, Anas, Rizwan Qureshi, Xinqi Fan, et al.. (2024). Single Stage Adaptive Multi-Attention Network for Image Restoration. IEEE Transactions on Image Processing. 33. 2924–2935. 12 indexed citations

2.

Zafar, Anas, et al.. (2024). Multi-Explainable TemporalNet: An Interpretable Multimodal Approach using Temporal Convolutional Network for User-level Depression Detection. 2258–2265. 3 indexed citations

3.

Usama, Muhammad, et al.. (2024). Action Segmentation Using 2D Skeleton Heatmaps and Multi-Modality Fusion. 1048–1055.

4.

Tran, Quoc-Huy, et al.. (2024). Permutation-Aware Activity Segmentation via Unsupervised Frame-to-Segment Alignment. 6412–6422. 3 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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