Khalil Khan

804 citations
27 papers · 533 · 1 hit paper · h-index 14

Impact in

Papers in

Khalil Khan

27 papers receiving 506 citations

Khalil Khan's Hit Papers

Conventional to Deep Ensemble Methods for Hyperspectral Image Classification: A Comprehensive Survey 2024 · 60 citations
600+1Years since publication204060

Peers

Khalil Khan
Comparison fields: 5 of 89
  • Computer Vision and Pattern Recognition 247
  • Media Technology 88
  • Industrial and Manufacturing Engineering 45
  • Analytical Chemistry 40
  • Signal Processing 42
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Musa Mohd Mokji Malaysia
R. R. Sedamkar India
Lei Tian China
Zongmin Li China
V. Kalist India
Mayank Arya Chandra India
Anhar Risnumawan Indonesia
Mingle Xu South Korea
Ruijun Ma China
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Citations per year

Countries citing papers authored by Khalil Khan

Since Specialization
Citations

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

Fields of papers citing papers by Khalil Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Khalil Khan, 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 Khalil Khan Line = papers co-authored together Khalil Khan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202082
2 202170
3
Conventional to Deep Ensemble Methods for Hyperspectral Image Classification: A Comprehensive Survey
Hit paper breakdown →
202460
4 201938
5 202230
6 202127
7 202024
8 202024
9 201924
10 202323
11 202123
12 202022
13 202015
14 202114
15 201912
16 20229
17 20208
18 20208
19 20205
20 20224

About Khalil Khan

Khalil Khan is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Media Technology and Ecology, having authored 27 papers that have together received 533 indexed citations. Recurring topics across this work include Face and Expression Recognition (8 papers), Face recognition and analysis (8 papers), Remote-Sensing Image Classification (5 papers), Biometric Identification and Security (4 papers), Advanced Steganography and Watermarking Techniques (3 papers), Digital Media Forensic Detection (3 papers), Fire Detection and Safety Systems (2 papers) and Remote Sensing and Land Use (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (247 citations), Media Technology (88 citations), Industrial and Manufacturing Engineering (45 citations), Analytical Chemistry (40 citations) and Signal Processing (42 citations). Khalil Khan has collaborated with scholars based in Pakistan, Saudi Arabia and South Korea. Frequent co-authors include Rehan Ullah Khan, Waleed Albattah, Ali Mustafa Qamar, Kashif Ahmad, Ala Al‐Fuqaha, Muhammad Attique, Farhan Ullah, Irfan Ullah, Salabat Khan and Giovanni Pau. Their work appears in journals such as Symmetry, IEEE Access, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Sensors and Applied Sciences.

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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