Zeeshan Hayder

573 total citations
24 papers, 249 citations indexed

About

Zeeshan Hayder is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Astronomy and Astrophysics. According to data from OpenAlex, Zeeshan Hayder has authored 24 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Astronomy and Astrophysics. Recurrent topics in Zeeshan Hayder's work include Advanced Neural Network Applications (5 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Human Pose and Action Recognition (3 papers). Zeeshan Hayder is often cited by papers focused on Advanced Neural Network Applications (5 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Human Pose and Action Recognition (3 papers). Zeeshan Hayder collaborates with scholars based in Australia, Switzerland and United States. Zeeshan Hayder's co-authors include Xuming He, Mathieu Salzmann, Fatih Porikli, Saeed Anwar, Lars Petersson, Simon Denman, Norberto Garcia‐Cairasco, Mohammad Ali Armin, David Ahmedt‐Aristizabal and Clinton Fookes and has published in prestigious journals such as IEEE Access, Artificial Intelligence Review and Epilepsy & Behavior.

In The Last Decade

Zeeshan Hayder

21 papers receiving 244 citations

Peers

Zeeshan Hayder

CVPR

PMH

Jundong Liu United States

David Cárdenas‐Peña Colombia

Guanghui Yue China

Abdelhamid Abdesselam Oman

Byungkon Kang South Korea

P. Shanmugavadivu India

Nihal Kodikara Sri Lanka

Wenjing Chen China

Ziqi Liu China

Xiaoxi Pan China

Jundong Liu United States

Zeeshan Hayder

196 ×1.2

CVPR

95 ×1.7

32 ×0.6

24 ×0.8

21 ×1.2

PMH

Citations per year, relative to Zeeshan Hayder Zeeshan Hayder (= 1×) peers Jundong Liu

Countries citing papers authored by Zeeshan Hayder

Since Specialization

Citations

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

Fields of papers citing papers by Zeeshan Hayder

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zeeshan Hayder

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

Gupta, N., Zeeshan Hayder, Minh Huynh, et al.. (2025). EMUSE: Evolutionary Map of the Universe Search Engine. Publications of the Astronomical Society of Australia. 42.

Gupta, N., R. P. Norris, Zeeshan Hayder, et al.. (2025). Discovery of odd radio circles and other peculiars in the first year of the EMU survey using object detection. Publications of the Astronomical Society of Australia. 42.

Hayder, Zeeshan, et al.. (2025). Auto-Regressive Diffusion for Generating 3D Human-Object Interactions. Proceedings of the AAAI Conference on Artificial Intelligence. 39(3). 3131–3139. 1 indexed citations

Zia, Ali, James D. Nichols, Usman Bashir Tayab, et al.. (2024). Topological deep learning: a review of an emerging paradigm. Artificial Intelligence Review. 57(4). 16 indexed citations

Mamun, Abdullah Al, David Ahmedt‐Aristizabal, Miaohua Zhang, et al.. (2024). Plant Disease Detection Using Self-Supervised Learning: A Systematic Review. IEEE Access. 12. 171926–171943. 4 indexed citations

Gupta, N., R. P. Norris, Zeeshan Hayder, et al.. (2024). RG-CAT: Detection pipeline and catalogue of radio galaxies in the EMU pilot survey. Publications of the Astronomical Society of Australia. 41. 3 indexed citations

Ahmedt‐Aristizabal, David, Mohammad Ali Armin, Zeeshan Hayder, et al.. (2024). Deep learning approaches for seizure video analysis: A review. Epilepsy & Behavior. 154. 109735–109735. 25 indexed citations

Hayder, Zeeshan & Xuming He. (2024). DSGG: Dense Relation Transformer for an End-to-End Scene Graph Generation. 28317–28326. 2 indexed citations

Khan, Adeel Ahmed, et al.. (2024). Bridging Healthcare Horizons: Illuminating Pakistani Medical Students' Perspectives on Telemedicine. 6(3). 52–61.

10.

Li, Xuesong, Zeeshan Hayder, Ali Zia, et al.. (2024). MMCBE: Multi-Modality Dataset for Crop Biomass Estimation and Beyond. ANU Open Research (Australian National University). 334–342. 1 indexed citations

11.

Hayder, Zeeshan, Jie Hong, Shafin Rahman, et al.. (2024). Backpropagation-free Network for 3D Test-time Adaptation. ANU Open Research (Australian National University). 23231–23241. 1 indexed citations

12.

Gupta, N., Zeeshan Hayder, R. P. Norris, Minh Huynh, & Lars Petersson. (2023). RadioGalaxyNET: Dataset and novel computer vision algorithms for the detection of extended radio galaxies and infrared hosts. Publications of the Astronomical Society of Australia. 41. 9 indexed citations

13.

Zia, Ali, et al.. (2023). Topological Deep Learning: A Review of an Emerging Paradigm. arXiv (Cornell University). 1 indexed citations

14.

Ahmedt‐Aristizabal, David, Mohammad Ali Armin, Zeeshan Hayder, et al.. (2023). Deep Learning Approaches for Seizure Video Analysis: A Review. arXiv (Cornell University). 3 indexed citations

15.

Hong, Jie, Zeeshan Hayder, Junlin Han, et al.. (2023). Hyperbolic Audio-visual Zero-shot Learning. 7839–7849. 8 indexed citations

16.

Gupta, N., Zeeshan Hayder, R. P. Norris, et al.. (2023). Deep learning for morphological identification of extended radio galaxies using weak labels. Publications of the Astronomical Society of Australia. 40. 1 indexed citations

17.

Anwar, Saeed, Zeeshan Hayder, & Fatih Porikli. (2021). Deblur and deep depth from single defocus image. Machine Vision and Applications. 32(1). 19 indexed citations

18.

Hayder, Zeeshan, Xuming He, & Mathieu Salzmann. (2017). Boundary-Aware Instance Segmentation. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 587–595. 87 indexed citations

19.

Anwar, Saeed, Zeeshan Hayder, & Fatih Porikli. (2017). Depth Estimation and Blur Removal from a Single Out-of-focus Image. ANU Open Research (Australian National University). 29 indexed citations

20.

Hayder, Zeeshan, Xuming He, & Mathieu Salzmann. (2016). Shape-aware Instance Segmentation.. arXiv (Cornell University). 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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