Waqas Sultani

843 total citations
24 papers, 332 citations indexed

About

Waqas Sultani is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Waqas Sultani has authored 24 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 8 papers in Media Technology and 6 papers in Artificial Intelligence. Recurrent topics in Waqas Sultani's work include Advanced Neural Network Applications (6 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Video Surveillance and Tracking Methods (5 papers). Waqas Sultani is often cited by papers focused on Advanced Neural Network Applications (6 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Video Surveillance and Tracking Methods (5 papers). Waqas Sultani collaborates with scholars based in Pakistan, United States and Qatar. Waqas Sultani's co-authors include Mohsen Ali, Imran Saleemi, Mubarak Shah, Safwan Wshah, Xiaohan Zhang, Jin Young Choi, Hae‐Bum Yun, Soroush Mokhtari, Xingyu Li and Muhammad Usman Ali and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Waqas Sultani

23 papers receiving 321 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Waqas Sultani Pakistan 12 218 89 63 48 32 24 332
Liuyuan Deng China 8 254 1.2× 64 0.7× 88 1.4× 27 0.6× 76 2.4× 15 391
Kunyang Sun China 4 393 1.8× 140 1.6× 55 0.9× 51 1.1× 42 1.3× 6 528
Tobias Pohlen Germany 2 300 1.4× 106 1.2× 29 0.5× 45 0.9× 22 0.7× 2 399
Mesay Belete Bejiga Italy 8 188 0.9× 76 0.9× 134 2.1× 61 1.3× 17 0.5× 10 400
Yalong Pi United States 6 118 0.5× 46 0.5× 53 0.8× 64 1.3× 48 1.5× 12 289
Meng Ding United States 11 265 1.2× 59 0.7× 63 1.0× 127 2.6× 37 1.2× 20 437
Mennatullah Siam Canada 9 297 1.4× 150 1.7× 44 0.7× 40 0.8× 20 0.6× 19 370
Boxiong Yang China 9 136 0.6× 51 0.6× 35 0.6× 32 0.7× 41 1.3× 19 314

Countries citing papers authored by Waqas Sultani

Since Specialization
Citations

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

Fields of papers citing papers by Waqas Sultani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Waqas Sultani

This figure shows the co-authorship network connecting the top 25 collaborators of Waqas Sultani. A scholar is included among the top collaborators of Waqas Sultani 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 Waqas Sultani. Waqas Sultani 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.
Zhang, Xiaohan, et al.. (2025). Cross-View Meets Diffusion: Aerial Image Synthesis with Geometry and Text Guidance. 5356–5366. 3 indexed citations
2.
Hussein, Sarfaraz, et al.. (2024). Joint Stream: Malignant Region Learning for Breast Cancer Diagnosis. Biomedical Signal Processing and Control. 99. 106899–106899. 2 indexed citations
3.
Zhang, Xiaohan, Xingyu Li, Waqas Sultani, Chen Chen, & Safwan Wshah. (2024). GeoDTR+: Toward Generic Cross-View Geolocalization via Geometric Disentanglement. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(12). 10419–10433. 8 indexed citations
4.
Butt, Muhammad Atif, Hassan Ali, Adnan Qayyum, et al.. (2024). R$$^{2}$$S100K: Road-Region Segmentation Dataset for Semi-supervised Autonomous Driving in the Wild. International Journal of Computer Vision. 133(2). 910–928. 1 indexed citations
5.
Zhang, Xiaohan, Xingyu Li, Waqas Sultani, Yi Zhou, & Safwan Wshah. (2023). Cross-View Geo-Localization via Learning Disentangled Geometric Layout Correspondence. Proceedings of the AAAI Conference on Artificial Intelligence. 37(3). 3480–3488. 33 indexed citations
6.
Wilson, Daniel H., Xiaohan Zhang, Waqas Sultani, & Safwan Wshah. (2023). Image and Object Geo-Localization. International Journal of Computer Vision. 132(4). 1350–1392. 12 indexed citations
7.
Mazhar, Suleman, et al.. (2023). Fine-Grained Road Quality Monitoring Using Deep Learning. IEEE Transactions on Intelligent Transportation Systems. 24(10). 10691–10701. 6 indexed citations
8.
Sultani, Waqas, et al.. (2023). Leveraging topology for domain adaptive road segmentation in satellite and aerial imagery. ISPRS Journal of Photogrammetry and Remote Sensing. 206. 106–117. 10 indexed citations
9.
Sultani, Waqas, et al.. (2023). Cross-region building counting in satellite imagery using counting consistency. Neural Computing and Applications. 35(30). 22621–22636.
10.
Sultani, Waqas, et al.. (2022). Mapping Temporary Slums from Satellite Imagery using a Semi-Supervised Approach. arXiv (Cornell University). 12 indexed citations
11.
Ali, Mohsen, et al.. (2022). Identifying out of distribution samples for skin cancer and malaria images. Biomedical Signal Processing and Control. 78. 103882–103882. 5 indexed citations
12.
Qayyum, Adnan, et al.. (2022). Single-shot retinal image enhancement using untrained and pretrained neural networks priors integrated with analytical image priors. Computers in Biology and Medicine. 148. 105879–105879. 13 indexed citations
13.
Usama, Muhammad, et al.. (2022). Fake visual content detection using two-stream convolutional neural networks. Neural Computing and Applications. 34(10). 7991–8004. 11 indexed citations
14.
Hussein, Sarfaraz, et al.. (2021). Estimation of BMI from facial images using semantic segmentation based region-aware pooling. Computers in Biology and Medicine. 133. 104392–104392. 18 indexed citations
15.
Sultani, Waqas, et al.. (2019). Deep built-structure counting in satellite imagery using attention based re-weighting. ISPRS Journal of Photogrammetry and Remote Sensing. 151. 313–321. 16 indexed citations
16.
Sultani, Waqas, et al.. (2017). Unsupervised action proposal ranking through proposal recombination. Computer Vision and Image Understanding. 161. 42–50. 3 indexed citations
17.
Sultani, Waqas, Soroush Mokhtari, & Hae‐Bum Yun. (2017). Automatic Pavement Object Detection Using Superpixel Segmentation Combined With Conditional Random Field. IEEE Transactions on Intelligent Transportation Systems. 19(7). 2076–2085. 30 indexed citations
18.
Sultani, Waqas & Mubarak Shah. (2016). What If We Do Not have Multiple Videos of the Same Action? — Video Action Localization Using Web Images. Journal of International Crisis and Risk Communication Research. 115. 1077–1085. 18 indexed citations
19.
Sultani, Waqas & Imran Saleemi. (2014). Human Action Recognition across Datasets by Foreground-Weighted Histogram Decomposition. Journal of International Crisis and Risk Communication Research. 764–771. 35 indexed citations
20.
Sultani, Waqas & Jin Young Choi. (2010). Abnormal Traffic Detection Using Intelligent Driver Model. 324–327. 26 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Liuyuan Deng Breakdown of academic impact, for papers by Kunyang Sun Breakdown of academic impact, for papers by Tobias Pohlen Breakdown of academic impact, for papers by Mesay Belete Bejiga Breakdown of academic impact, for papers by Yalong Pi Breakdown of academic impact, for papers by Meng Ding Breakdown of academic impact, for papers by Mennatullah Siam Breakdown of academic impact, for papers by Boxiong Yang
Rankless by CCL
2026