Farhan Ullah

435 total citations · 1 hit paper
14 papers, 270 citations indexed

About

Farhan Ullah is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Farhan Ullah has authored 14 papers receiving a total of 270 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 6 papers in Media Technology and 4 papers in Artificial Intelligence. Recurrent topics in Farhan Ullah's work include Remote-Sensing Image Classification (6 papers), Remote Sensing and Land Use (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Farhan Ullah is often cited by papers focused on Remote-Sensing Image Classification (6 papers), Remote Sensing and Land Use (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Farhan Ullah collaborates with scholars based in China, Saudi Arabia and Kazakhstan. Farhan Ullah's co-authors include Shun’ichi Kaneko, Rehan Ullah Khan, Khalil Khan, Irfan Ullah, Salabat Khan, Bofeng Zhang, Giovanni Pau, Salim El Khediri, Sadeeq Jan and Maqbool Khan and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, IEEE Access and Sensors.

In The Last Decade

Farhan Ullah

14 papers receiving 256 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Conventional to Deep Ensemble Methods for Hyperspectral Image Classification: A Comprehensive Survey

2024 54 citations Farhan Ullah, Irfan Ullah et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Farhan Ullah China	8	129	105	45	43	37	14	270
Telagarapu Prabhakar India	8	72 0.6×	46 0.4×	44 1.0×	19 0.4×	14 0.4×	30	186
Peng Han China	7	149 1.2×	49 0.5×	67 1.5×	7 0.2×	67 1.8×	19	252
Ling Tan China	10	91 0.7×	61 0.6×	51 1.1×	17 0.4×	54 1.5×	28	291
Jeripothula Prudviraj India	5	97 0.8×	23 0.2×	42 0.9×	7 0.2×	41 1.1×	5	216
Sanun Srisuk Thailand	8	185 1.4×	43 0.4×	42 0.9×	11 0.3×	7 0.2×	26	252
Haobo Yuan China	7	140 1.1×	19 0.2×	84 1.9×	7 0.2×	15 0.4×	13	270
Yuelong Xia China	8	136 1.1×	55 0.5×	126 2.8×	4 0.1×	20 0.5×	19	302

Countries citing papers authored by Farhan Ullah

Since Specialization

Citations

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

Fields of papers citing papers by Farhan Ullah

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Farhan Ullah

This figure shows the co-authorship network connecting the top 25 collaborators of Farhan Ullah. A scholar is included among the top collaborators of Farhan Ullah 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 Farhan Ullah. Farhan Ullah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

Ullah, Farhan, et al.. (2025). SXSFormer: Spectral Squeeze and Expansion Swin Transformer Network for Hyperspectral Image Classification. IEEE Transactions on Consumer Electronics. 71(3). 7710–7729. 2 indexed citations

Ullah, Farhan, Irfan Ullah, Khalil Khan, Salabat Khan, & Farhan Amin. (2025). Advances in deep neural network-based hyperspectral image classification and feature learning with limited samples: a survey. Applied Intelligence. 55(6). 7 indexed citations

Ullah, Farhan, et al.. (2025). Squeeze-SwinFormer: Spectral Squeeze and Excitation Swin Transformer Network for Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 21400–21418. 1 indexed citations

Ullah, Farhan, Irfan Ullah, Rehan Ullah Khan, et al.. (2024). Conventional to Deep Ensemble Methods for Hyperspectral Image Classification: A Comprehensive Survey. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 3878–3916. 54 indexed citations breakdown →

Wang, Quan, et al.. (2024). LFIR-YOLO: Lightweight Model for Infrared Vehicle and Pedestrian Detection. Sensors. 24(20). 6609–6609. 10 indexed citations

Khan, Khalil, et al.. (2024). Accurately assessing congenital heart disease using artificial intelligence. PeerJ Computer Science. 10. e2535–e2535. 3 indexed citations

Ullah, Farhan, Irfan Ullah, Rehan Ullah Khan, et al.. (2023). Deep Hyperspectral Shots: Deep Snap Smooth Wavelet Convolutional Neural Network Shots Ensemble for Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 14–34. 23 indexed citations

Khan, Salabat, Fei Luo, Zijian Zhang, et al.. (2023). A Survey on X.509 Public-Key Infrastructure, Certificate Revocation, and Their Modern Implementation on Blockchain and Ledger Technologies. IEEE Communications Surveys & Tutorials. 25(4). 2529–2568. 17 indexed citations

Ullah, Farhan, Bofeng Zhang, Rehan Ullah Khan, et al.. (2020). Deep Edu: A Deep Neural Collaborative Filtering for Educational Services Recommendation. IEEE Access. 8. 110915–110928. 22 indexed citations

10.

Ullah, Farhan, et al.. (2020). Visual-based Items Recommendation Using Deep Neural Network. 122–126. 8 indexed citations

11.

Ullah, Farhan, et al.. (2020). Large-scale Distributive Matrix Collaborative Filtering for Recommender System. 55–59. 6 indexed citations

12.

Ullah, Farhan, Bofeng Zhang, & Rehan Ullah Khan. (2019). Image-Based Service Recommendation System: A JPEG-Coefficient RFs Approach. IEEE Access. 8. 3308–3318. 29 indexed citations

13.

Ullah, Irfan, et al.. (2017). An Efficient Static Filters for Sky Detection. Research Journal of Applied Sciences Engineering and Technology. 14(8). 276–280. 1 indexed citations

14.

Ullah, Farhan & Shun’ichi Kaneko. (2003). Using orientation codes for rotation-invariant template matching. Pattern Recognition. 37(2). 201–209. 87 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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