Irfan Ullah

1.1k total citations · 1 hit paper
23 papers, 766 citations indexed

About

Irfan Ullah is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Media Technology. According to data from OpenAlex, Irfan Ullah has authored 23 papers receiving a total of 766 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Electrical and Electronic Engineering, 6 papers in Control and Systems Engineering and 5 papers in Media Technology. Recurrent topics in Irfan Ullah's work include Remote-Sensing Image Classification (5 papers), Remote Sensing and Land Use (3 papers) and Silicon Carbide Semiconductor Technologies (3 papers). Irfan Ullah is often cited by papers focused on Remote-Sensing Image Classification (5 papers), Remote Sensing and Land Use (3 papers) and Silicon Carbide Semiconductor Technologies (3 papers). Irfan Ullah collaborates with scholars based in China, Saudi Arabia and Pakistan. Irfan Ullah's co-authors include Fan Yang, Basit Raza, Muhammad Imran, Ahmad Kamran Malik, Saif ul Islam, Sung Won Kim, Rehan Ullah Khan, Bing Gao, Mohammed Hassan Ahmed and Mingyu Wang and has published in prestigious journals such as IEEE Transactions on Power Electronics, IEEE Access and International Journal of Environmental Research and Public Health.

In The Last Decade

Irfan Ullah

20 papers receiving 706 citations

Hit Papers

Conventional to Deep Ensemble Methods for Hyperspectral I... 2024 2026 2025 2024 10 20 30 40 50
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.

  1. 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 Career Trend Papers Cites
Irfan Ullah China 12 242 182 93 91 89 23 766
Francisco G. Benítez Spain 16 90 0.4× 30 0.2× 45 0.5× 535 5.9× 5 0.1× 70 1.4k
Hui Lv China 12 78 0.3× 26 0.1× 9 0.1× 66 0.7× 8 0.1× 50 565
Jeng‐Wen Lin Taiwan 10 73 0.3× 11 0.1× 18 0.2× 118 1.3× 17 0.2× 35 516
Wenbo Zhang China 16 177 0.7× 94 0.5× 4 0.0× 136 1.5× 5 0.1× 79 1.1k
K. L. Keung Hong Kong 13 22 0.1× 23 0.1× 13 0.1× 149 1.6× 11 0.1× 34 506
M. Ishfaq Saudi Arabia 9 297 1.2× 68 0.4× 14 0.2× 48 0.5× 2 0.0× 15 737
Xiangqian Wang China 9 34 0.1× 24 0.1× 6 0.1× 37 0.4× 17 0.2× 36 481
Bingbing Lei China 7 83 0.3× 8 0.0× 11 0.1× 35 0.4× 19 0.2× 20 550
Guohong Wang China 9 63 0.3× 31 0.2× 6 0.1× 42 0.5× 16 0.2× 98 481

Countries citing papers authored by Irfan Ullah

Since Specialization
Citations

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

Fields of papers citing papers by Irfan Ullah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Irfan Ullah

This figure shows the co-authorship network connecting the top 25 collaborators of Irfan Ullah. A scholar is included among the top collaborators of Irfan 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 Irfan Ullah. Irfan Ullah 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.
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
2.
Ullah, Irfan, et al.. (2025). Challenges in artisanal small-scale gold mining: perspectives and transformations to sustainability along BR-163 in Brazil. Journal of Sustainable Mining. 24(2). 333–345. 1 indexed citations
3.
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
4.
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
5.
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 →
6.
7.
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
8.
Dong, Sheng, Afaq Khattak, Irfan Ullah, Jibiao Zhou, & Arshad Hussain. (2022). Predicting and Analyzing Road Traffic Injury Severity Using Boosting-Based Ensemble Learning Models with SHAPley Additive exPlanations. International Journal of Environmental Research and Public Health. 19(5). 2925–2925. 74 indexed citations
9.
Ullah, Irfan, et al.. (2020). An Efficient Proposed Yangon Railway System Simulation Module. 3. 1–5.
10.
Ullah, Irfan, Rehan Ullah Khan, Fan Yang, & Lunchakorn Wuttisittikulkij. (2020). Deep Learning Image-Based Defect Detection in High Voltage Electrical Equipment. Energies. 13(2). 392–392. 62 indexed citations
11.
Ullah, Farhan, et al.. (2020). Visual-based Items Recommendation Using Deep Neural Network. 122–126. 8 indexed citations
12.
Wuttisittikulkij, Lunchakorn, et al.. (2020). A GUI based Self-learning Tool for Polar Codes using Successive Cancellation and List Decoders. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 15. 64–69. 2 indexed citations
13.
Ullah, Farhan, et al.. (2020). Large-scale Distributive Matrix Collaborative Filtering for Recommender System. 55–59. 6 indexed citations
14.
Ullah, Irfan, Basit Raza, Ahmad Kamran Malik, et al.. (2019). A Churn Prediction Model Using Random Forest: Analysis of Machine Learning Techniques for Churn Prediction and Factor Identification in Telecom Sector. IEEE Access. 7. 60134–60149. 221 indexed citations
15.
Ullah, Irfan, et al.. (2019). Churn Prediction in Banking System using K-Means, LOF, and CBLOF. 1–6. 8 indexed citations
16.
Ullah, Irfan, Fan Yang, Rehanullah Khan, et al.. (2017). Predictive Maintenance of Power Substation Equipment by Infrared Thermography Using a Machine-Learning Approach. Energies. 10(12). 1987–1987. 83 indexed citations
17.
Yang, Fan, et al.. (2017). A Cycle Voltage Measurement Method and Application in Grounding Grids Fault Location. Energies. 10(11). 1929–1929. 17 indexed citations
18.
Gao, Bing, et al.. (2016). A temperature spectrum density distribution based condition evaluation method and application in IGBT. Applied Thermal Engineering. 106. 1440–1457. 16 indexed citations
19.
Gao, Bing, Fan Yang, Minyou Chen, et al.. (2016). A Temperature Gradient-Based Potential Defects Identification Method for IGBT Module. IEEE Transactions on Power Electronics. 32(3). 2227–2242. 67 indexed citations
20.
Yang, Fan, et al.. (2016). A method to calculate the reactive power of iced transmission line based on Poynting vector and FDFD. International Journal of Applied Electromagnetics and Mechanics. 50(3). 417–433. 1 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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