Irfan Ullah

1.1k citations
23 papers · 766 · 1 hit paper · h-index 12

Impact in

  • Marketing top 5%
    • Customer churn and segmentation
    • Consumer Retail Behavior Studies
    • Remote-Sensing Image Classification

Papers in

Irfan Ullah

20 papers receiving 706 citations

Irfan Ullah's Hit Papers

Conventional to Deep Ensemble Methods for Hyperspectral Image Classification: A Comprehensive Survey 2024 · 54 citations
540+1Years since publication1020304050

Peers

Irfan Ullah
Comparison fields: 5 of 90
  • Marketing 182
  • Media Technology 89
  • Organizational Behavior and Human Resource Management 93
  • Safety, Risk, Reliability and Quality 66
  • Medical Laboratory Technology 8
Replace K. L. Keung with:
K. L. Keung Hong Kong
Hui Lv China
Guohong Wang China
Francisco G. Benítez Spain
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Xiangqian Wang China
Irfan Ullah relative to K. L. Keung Hong Kong K. L. Keung's profile →
Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Irfan Ullah, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Irfan Ullah Line = papers co-authored together Irfan Ullah links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019221
2 201783
3 202274
4 201973
5 201667
6 202062
7
Conventional to Deep Ensemble Methods for Hyperspectral Image Classification: A Comprehensive Survey
Hit paper breakdown →
202454
8 202323
9 201820
10 201620
11 201717
12 201616
13 20208
14 20198
15 20257
16 20206
17 20252
18 20202
19 20251
20 20161

About Irfan Ullah

Irfan Ullah is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Media Technology, Computer Vision and Pattern Recognition and Atmospheric Science, having authored 23 papers that have together received 766 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (5 papers), Remote Sensing and Land Use (3 papers), Silicon Carbide Semiconductor Technologies (3 papers), Thermography and Photoacoustic Techniques (2 papers), Non-Destructive Testing Techniques (2 papers), Electrical Fault Detection and Protection (2 papers), Thermal Analysis in Power Transmission (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). The work is most often cited by research in Marketing (182 citations), Media Technology (89 citations), Organizational Behavior and Human Resource Management (93 citations), Safety, Risk, Reliability and Quality (66 citations) and Medical Laboratory Technology (8 citations). Irfan Ullah has collaborated with scholars based in China, Saudi Arabia and Pakistan. Frequent co-authors include Fan Yang, Sung Won Kim, Basit Raza, Saif ul Islam, Ahmad Kamran Malik, Muhammad Imran, Rehan Ullah Khan, Bing Gao, Mingyu Wang and Muhammad Arshad Shehzad Hassan. Their work appears in journals such as Energies, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Access, IEEE Transactions on Consumer Electronics and IEEE Transactions on Power Electronics.

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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