Mohsen Ali

713 total citations
38 papers, 393 citations indexed

About

Mohsen Ali is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Mohsen Ali has authored 38 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 6 papers in Media Technology. Recurrent topics in Mohsen Ali's work include Advanced Neural Network Applications (11 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Domain Adaptation and Few-Shot Learning (5 papers). Mohsen Ali is often cited by papers focused on Advanced Neural Network Applications (11 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Domain Adaptation and Few-Shot Learning (5 papers). Mohsen Ali collaborates with scholars based in Pakistan, United States and South Korea. Mohsen Ali's co-authors include Waqas Sultani, Saeed‐Ul Hassan, Jeffrey Ho, Hajra Waheed, Naif Radi Aljohani, Muhammad Qasim Mehmood, Muhammad Zubair, Sebastián Ventura, Francisco Herrera and Muhammad Haris Khan and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Nanoscale and IEEE Access.

In The Last Decade

Mohsen Ali

33 papers receiving 383 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mohsen Ali Pakistan	13	183	122	63	48	47	38	393
Xun Sun China	10	107 0.6×	67 0.5×	177 2.8×	38 0.8×	2 0.0×	29	475
Xiaoli Dong China	12	221 1.2×	122 1.0×	32 0.5×	18 0.4×	2 0.0×	32	398
Heng Siong Lim Malaysia	11	54 0.3×	75 0.6×	17 0.3×	12 0.3×	5 0.1×	89	454
Chongyang Zhang China	8	883 4.8×	163 1.3×	39 0.6×	12 0.3×	8 0.2×	35	957
Yuxi Wang China	10	155 0.8×	144 1.2×	31 0.5×	7 0.1×	3 0.1×	49	330
Sheng Xu China	8	194 1.1×	70 0.6×	43 0.7×	6 0.1×	2 0.0×	30	304
Matthias Schulz Germany	14	91 0.5×	118 1.0×	7 0.1×	25 0.5×	9 0.2×	41	880
Christine Fernández-Maloigne France	13	366 2.0×	76 0.6×	158 2.5×	4 0.1×	5 0.1×	85	614
Junjie Zhang China	13	463 2.5×	381 3.1×	162 2.6×	5 0.1×	3 0.1×	78	746

Countries citing papers authored by Mohsen Ali

Since Specialization

Citations

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

Fields of papers citing papers by Mohsen Ali

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohsen Ali

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

Ali, Mohsen, et al.. (2024). Perturbing Dominant Feature Modes for Single Domain-Generalized Object Detection. ANU Open Research (Australian National University). 93–100.

Qureshi, Faisal Z., et al.. (2024). Attention Based Simple Primitives for Open-World Compositional Zero-Shot Learning. 714–721.

Cho, Yongju, et al.. (2023). CloudUP—Upsampling Vibrant Color Point Clouds Using Multi-Scale Spatial Attention. IEEE Access. 11. 128569–128579.

Khan, Muhammad Haris, et al.. (2023). Domain Adaptive Object Detection via Balancing Between Self-Training and Adversarial Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(12). 14353–14365. 6 indexed citations

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

Mahmood, Arif, et al.. (2023). Detection and Localization of Firearm Carriers in Complex Scenes for Improved Safety Measures. IEEE Transactions on Computational Social Systems. 11(3). 3900–3910. 1 indexed citations

Sultani, Waqas, et al.. (2022). Mapping Temporary Slums from Satellite Imagery using a Semi-Supervised Approach. arXiv (Cornell University). 12 indexed citations

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

Mehmood, Muhammad Qasim, et al.. (2022). A unique physics-inspired deep-learning-based platform introducing a generalized tool for rapid optical-response prediction and parametric-optimization for all-dielectric metasurfaces. Nanoscale. 14(44). 16436–16449. 31 indexed citations

10.

Hafiz, Rehan, et al.. (2022). FogAdapt: Self-supervised domain adaptation for semantic segmentation of foggy images. Neurocomputing. 501. 844–856. 14 indexed citations

11.

Khan, Muhammad Haris, et al.. (2021). SSAL: Synergizing between Self-Training and Adversarial Learning for Domain Adaptive Object Detection. Neural Information Processing Systems. 34. 30 indexed citations

12.

Hassan, Saeed‐Ul, et al.. (2021). Optimal school site selection in Urban areas using deep neural networks. Journal of Ambient Intelligence and Humanized Computing. 13(1). 313–327. 13 indexed citations

13.

Mahmood, Arif, et al.. (2021). Leveraging orientation for weakly supervised object detection with application to firearm localization. Neurocomputing. 440. 310–320. 21 indexed citations

14.

Cho, Yongju, et al.. (2021). Learning to Detect Local Features Using Information Change. IEEE Access. 9. 43898–43908. 1 indexed citations

15.

Hafiz, Rehan, et al.. (2020). CAxCNN: Towards the Use of Canonic Sign Digit Based Approximation for Hardware-Friendly Convolutional Neural Networks. IEEE Access. 8. 127014–127021. 14 indexed citations

16.

Lam, Hoang Thanh, et al.. (2018). Layered convolutional dictionary learning for sparse coding itemsets. World Wide Web. 22(5). 2225–2239. 1 indexed citations

17.

Taj, Murtaza, et al.. (2017). More for less: Insights into convolutional nets for 3D point cloud recognition. 1607–1611. 2 indexed citations

18.

Rushdi, Muhammad A., Mohsen Ali, & Jeffrey Ho. (2013). Color de-rendering using coupled dictionary learning. 54. 315–319. 4 indexed citations

19.

Ali, Mohsen, et al.. (2012). Application of Geographical Information system (GIS) in urban water of Amol in Iran at Time of Natural Disaster.

20.

Ali, Mohsen & J.K. Aggarwal. (1976). Automatic Detection and Classification of Infestations of Crop Insect Pests and Diseases from Infrared Aerial Color Photographs. Purdue e-Pubs (Purdue University System). 2 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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