Hassan Foroosh

5.1k total citations · 2 hit papers
135 papers, 2.4k citations indexed

About

Hassan Foroosh is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Hassan Foroosh has authored 135 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Computer Vision and Pattern Recognition, 35 papers in Artificial Intelligence and 22 papers in Aerospace Engineering. Recurrent topics in Hassan Foroosh's work include Advanced Vision and Imaging (47 papers), Human Pose and Action Recognition (24 papers) and Optical measurement and interference techniques (22 papers). Hassan Foroosh is often cited by papers focused on Advanced Vision and Imaging (47 papers), Human Pose and Action Recognition (24 papers) and Optical measurement and interference techniques (22 papers). Hassan Foroosh collaborates with scholars based in United States, China and United Arab Emirates. Hassan Foroosh's co-authors include Xiaochun Cao, Philip David, Boqing Gong, Zixiang Zhou, Imran N. Junejo, Marshall F. Tappen, Baoyuan Liu, Min Wang, Yuping Shen and Murat E. Balci and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Hassan Foroosh

126 papers receiving 2.3k citations

Hit Papers

Sparse Convolutional Neural Networks 2015 2026 2018 2022 2015 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hassan Foroosh United States 22 1.7k 604 358 319 288 135 2.4k
Lu Fang China 26 1.6k 0.9× 309 0.5× 262 0.7× 276 0.9× 97 0.3× 188 2.4k
Wei Hong China 22 881 0.5× 251 0.4× 184 0.5× 352 1.1× 192 0.7× 122 2.0k
Jiajun Wu United States 29 2.0k 1.2× 716 1.2× 212 0.6× 673 2.1× 106 0.4× 125 3.2k
Philipp Krähenbühl United States 18 3.8k 2.3× 722 1.2× 726 2.0× 185 0.6× 210 0.7× 25 4.4k
Yongming Rao China 29 2.4k 1.4× 767 1.3× 229 0.6× 828 2.6× 307 1.1× 49 3.4k
Alexander G. Schwing United States 30 1.9k 1.1× 830 1.4× 340 0.9× 171 0.5× 178 0.6× 88 2.8k
René Ranftl Switzerland 15 1.6k 1.0× 231 0.4× 455 1.3× 303 0.9× 95 0.3× 25 2.3k
Sang Uk Lee South Korea 24 2.1k 1.3× 207 0.3× 387 1.1× 224 0.7× 137 0.5× 167 2.8k
N. M. Kwok Australia 24 1.1k 0.7× 259 0.4× 790 2.2× 203 0.6× 105 0.4× 110 2.6k
Chunxia Xiao China 27 2.0k 1.2× 171 0.3× 300 0.8× 400 1.3× 173 0.6× 149 2.6k

Countries citing papers authored by Hassan Foroosh

Since Specialization
Citations

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

Fields of papers citing papers by Hassan Foroosh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hassan Foroosh

This figure shows the co-authorship network connecting the top 25 collaborators of Hassan Foroosh. A scholar is included among the top collaborators of Hassan Foroosh 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 Hassan Foroosh. Hassan Foroosh 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.
Wang, Xiaoyang, et al.. (2025). DeFine: Decision-Making with Analogical Reasoning over Factor Profiles. 4587–4603.
2.
Zhou, Zixiang, et al.. (2024). LPFormer: LiDAR Pose Estimation Transformer with Multi-Task Network. 16432–16438. 2 indexed citations
3.
Foroosh, Hassan, et al.. (2023). Robust registration and learning using multi-radii spherical polar Fourier transform. Signal Processing. 217. 109309–109309.
4.
Siddique, A. B., et al.. (2023). Model-Agnostic Zero-Shot Intent Detection via Contrastive Transfer Learning. International Journal of Semantic Computing. 18(1). 5–24. 3 indexed citations
5.
Dernoncourt, Franck, et al.. (2023). MeetingBank: A Benchmark Dataset for Meeting Summarization. 16409–16423. 7 indexed citations
6.
Farooq, Umar, et al.. (2023). MobileRec: A Large Scale Dataset for Mobile Apps Recommendation. 3007–3016. 3 indexed citations
7.
Song, Kaiqiang, et al.. (2023). DecipherPref: Analyzing Influential Factors in Human Preference Judgments via GPT-4. 8344–8357. 2 indexed citations
8.
Zhang, Hua, Liqiang Xiao, Xiaochun Cao, & Hassan Foroosh. (2022). Multiple Adverse Weather Conditions Adaptation for Object Detection via Causal Intervention. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(3). 1742–1756. 32 indexed citations
9.
Cho, Sangwoo, Franck Dernoncourt, Trung Bui, et al.. (2021). StreamHover: Livestream Transcript Summarization and Annotation. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 6457–6474. 14 indexed citations
10.
Zhang, Hua, et al.. (2019). Learning Structural Representations via Dynamic Object Landmarks Discovery for Sketch Recognition and Retrieval. IEEE Transactions on Image Processing. 28(9). 4486–4499. 18 indexed citations
11.
Foroosh, Hassan, et al.. (2019). LUCFER: A Large-Scale Context-Sensitive Image Dataset for Deep Learning of Visual Emotions. 1645–1654. 13 indexed citations
12.
David, Philip, et al.. (2019). A Curriculum Domain Adaptation Approach to the Semantic Segmentation of Urban Scenes. IEEE Transactions on Pattern Analysis and Machine Intelligence. 42(8). 1823–1841. 103 indexed citations
13.
Zhang, Yang, Hassan Foroosh, Philip David, & Boqing Gong. (2018). CAMOU: Learning Physical Vehicle Camouflages to Adversarially Attack Detectors in the Wild.. International Conference on Learning Representations. 40 indexed citations
14.
Foroosh, Hassan, et al.. (2018). A Zero-Shot Architecture for Action Recognition in Still Images. Journal of International Crisis and Risk Communication Research. 460–464. 3 indexed citations
15.
Tariq, Amara & Hassan Foroosh. (2015). T-clustering: Image clustering by tensor decomposition. Journal of International Crisis and Risk Communication Research. 44. 4803–4807. 2 indexed citations
16.
Junejo, Imran N. & Hassan Foroosh. (2010). GPS coordinates estimation and camera calibration from solar shadows. Computer Vision and Image Understanding. 114(9). 991–1003. 16 indexed citations
17.
Cakmakci, Ozan, et al.. (2008). Application of radial basis functions to shape description in a dual-element off-axis magnifier. Optics Letters. 33(11). 1237–1237. 39 indexed citations
18.
Foroosh, Hassan, et al.. (2008). Robust auto-calibration of a PTZ camera with non-overlapping FOV. Proceedings - International Conference on Pattern Recognition. 1–4. 1 indexed citations
19.
Thompson, Kevin P., et al.. (2008). Super-resolution imaging combining the design of an optical coherence microscope objective with liquid-lens based dynamic focusing capability and computational methods. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7061. 70610C–70610C. 2 indexed citations
20.
Balci, Murat E. & Hassan Foroosh. (2006). Inferring Motion from the Rank Constraint of the Phase Matrix. Journal of International Crisis and Risk Communication Research. 2. 925–928. 7 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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