Ferdous Sohel

8.4k total citations · 4 hit papers
207 papers, 5.2k citations indexed

About

Ferdous Sohel is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Ferdous Sohel has authored 207 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Computer Vision and Pattern Recognition, 49 papers in Artificial Intelligence and 29 papers in Signal Processing. Recurrent topics in Ferdous Sohel's work include Advanced Image and Video Retrieval Techniques (30 papers), Robotics and Sensor-Based Localization (21 papers) and Speech and Audio Processing (20 papers). Ferdous Sohel is often cited by papers focused on Advanced Image and Video Retrieval Techniques (30 papers), Robotics and Sensor-Based Localization (21 papers) and Speech and Audio Processing (20 papers). Ferdous Sohel collaborates with scholars based in Australia, China and United Kingdom. Ferdous Sohel's co-authors include Mohammed Bennamoun, Yulan Guo, Jianwei Wan, Min Lu, Roberto Togneri, Hamid Laga, Farid Boussaïd, Mohd Fairuz Shiratuddin, Md Zakir Hossain and Senjian An and has published in prestigious journals such as Circulation, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Ferdous Sohel

194 papers receiving 5.1k citations

Hit Papers

A Comprehensive Survey of Deep Learning for Image ... 2014 2026 2018 2022 2019 2014 2015 2024 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ferdous Sohel Australia 35 2.9k 1.2k 991 711 554 207 5.2k
Song Bai China 42 5.6k 1.9× 2.4k 2.1× 855 0.9× 345 0.5× 702 1.3× 115 8.1k
Longin Jan Latecki United States 43 5.4k 1.8× 1.5k 1.3× 638 0.6× 261 0.4× 696 1.3× 212 7.0k
Seth Teller United States 45 4.1k 1.4× 1.1k 1.0× 2.7k 2.7× 376 0.5× 501 0.9× 122 8.3k
Philip H. S. Torr United Kingdom 44 6.2k 2.1× 1.1k 1.0× 2.1k 2.1× 780 1.1× 403 0.7× 121 7.7k
Anders Heyden Sweden 23 4.6k 1.6× 1.3k 1.1× 894 0.9× 279 0.4× 421 0.8× 173 6.6k
Bryan Russell United States 21 4.1k 1.4× 1.1k 0.9× 674 0.7× 234 0.3× 251 0.5× 43 5.6k
Sven Behnke Germany 37 2.7k 0.9× 742 0.6× 1.9k 1.9× 597 0.8× 169 0.3× 283 5.2k
Yonghuai Liu United Kingdom 27 1.7k 0.6× 384 0.3× 680 0.7× 415 0.6× 530 1.0× 131 3.3k
Nikhila Ravi United States 9 2.4k 0.8× 982 0.9× 423 0.4× 215 0.3× 343 0.6× 9 4.6k
Radu Horaud France 39 3.7k 1.2× 570 0.5× 1.9k 1.9× 446 0.6× 619 1.1× 142 5.5k

Countries citing papers authored by Ferdous Sohel

Since Specialization
Citations

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

Fields of papers citing papers by Ferdous Sohel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ferdous Sohel

This figure shows the co-authorship network connecting the top 25 collaborators of Ferdous Sohel. A scholar is included among the top collaborators of Ferdous Sohel 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 Ferdous Sohel. Ferdous Sohel 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.
Laga, Hamid, et al.. (2025). GNF: Gaussian Neural Fields for Multidimensional Signal Representation and Reconstruction. Computer Graphics Forum. 44(7).
2.
Wist, Julien, Ferdous Sohel, Kok Wai Wong, et al.. (2025). Analytical quality control in targeted lipidomics: Evaluating the performance of commercial plasma as a surrogate for pooled study samples. Analytica Chimica Acta. 1365. 344225–344225.
3.
Wang, Xupeng, et al.. (2025). Unsupervised Anomaly Detection for Improving Adversarial Robustness of 3D Object Detection Models. Electronics. 14(2). 236–236. 1 indexed citations
4.
Gupta, Sanjiv, et al.. (2024). Barley disease recognition using deep neural networks. European Journal of Agronomy. 161. 127359–127359. 3 indexed citations
5.
Zhou, Jingchun, et al.. (2024). Adaptive variational decomposition for water-related optical image enhancement. ISPRS Journal of Photogrammetry and Remote Sensing. 216. 15–31. 14 indexed citations
6.
Han, Hua, et al.. (2024). Deep learning for 3D object recognition: A survey. Neurocomputing. 608. 128436–128436. 5 indexed citations
7.
Diepeveen, Dean, et al.. (2024). Early frost detection in wheat using machine learning from vertical temperature distributions. Computers and Electronics in Agriculture. 221. 108950–108950. 5 indexed citations
8.
Teng, Shyh Wei, et al.. (2023). Anti-aliasing deep image classifiers using novel depth adaptive blurring and activation function. Neurocomputing. 536. 164–174. 3 indexed citations
9.
Sohel, Ferdous, Vida Abedi, Ye Zhu, et al.. (2023). Development and internal validation of machine learning–based models and external validation of existing risk scores for outcome prediction in patients with ischaemic stroke. European Heart Journal - Digital Health. 5(2). 109–122. 2 indexed citations
10.
Islam, Khondoker Ziaul, et al.. (2022). Renewable Energy-Based Energy-Efficient Off-Grid Base Stations for Heterogeneous Network. Energies. 16(1). 169–169. 5 indexed citations
11.
Lü, Juan, Joseph Hung, Mohammed Bennamoun, et al.. (2022). Performance of multilabel machine learning models and risk stratification schemas for predicting stroke and bleeding risk in patients with non-valvular atrial fibrillation. Computers in Biology and Medicine. 150. 106126–106126. 23 indexed citations
12.
Olaru, Doina, et al.. (2021). A discrete event simulation for modelling Aljamarat Bridge rituals and evacuation scenarios. UWA Profiles and Research Repository (UWA). 1 indexed citations
13.
Lu, Guojun, et al.. (2020). Adversarial Open Set Domain Adaptation Based on Mutual Information. arXiv (Cornell University). 1 indexed citations
14.
Awan, Saqib Ejaz, Mohammed Bennamoun, Ferdous Sohel, et al.. (2019). Feature selection and transformation by machine learning reduce variable numbers and improve prediction for heart failure readmission or death. PLoS ONE. 14(6). e0218760–e0218760. 48 indexed citations
15.
Wang, Cheng, Ming Cheng, Ferdous Sohel, Mohammed Bennamoun, & Jonathan Li. (2018). NormalNet: A voxel-based CNN for 3D object classification and retrieval. Neurocomputing. 323. 139–147. 102 indexed citations
16.
Ke, Qiuhong, Mohammed Bennamoun, Senjian An, Farid Boussaïd, & Ferdous Sohel. (2016). Spatial, Structural and Temporal Feature Learning for Human Interaction Prediction.. arXiv (Cornell University). 7 indexed citations
17.
Sohel, Ferdous, Laurence S. Dooley, & Gour Karmakar. (2004). A modified distortion measurement algorithm for shape coding. UWA Profiles and Research Repository (University of Western Australia). 402–407. 2 indexed citations
18.
Sohel, Ferdous & Chowdhury Mofizur Rahman. (2003). Association rule mining in dynamic database using the concept of border sets. Murdoch Research Repository (Murdoch University). 3(7). 508–515.
19.
Sohel, Ferdous. (2003). A new neural network with fuzzy technique: Disease diagnosis, A case study. Murdoch Research Repository (Murdoch University). 1 indexed citations
20.
Sohel, Ferdous & Md Amiruzzaman. (2003). Fingerprint authentication system using back-propagation. Murdoch Research Repository (Murdoch University). 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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