Khalil Khan

1.8k citations
66 papers · 1.1k · 2 hit papers · h-index 20

Impact in

Papers in

Khalil Khan

63 papers receiving 1.0k citations

Khalil Khan's Hit Papers

Conventional to Deep Ensemble Methods for Hyperspectral Image Classification: A Comprehensive Survey 2024 · 54 citations
540+1+2Years since publication255075

Peers

Khalil Khan
Comparison fields: 5 of 130
  • Computer Vision and Pattern Recognition 414
  • Media Technology 169
  • Health Informatics 21
  • Artificial Intelligence 272
  • Signal Processing 89
Replace Shaveta Dargan with:
Shaveta Dargan India
Hakil Kim South Korea
Anand Paul South Korea
Bhawani Shankar Chowdhry Pakistan
M. M. Manohara Pai India
Yiqi Wu China
Liyan Zhang China
Xu Yang China
Lingling Zhang China
Ayyaz Hussain Pakistan
Khalil Khan relative to Shaveta Dargan India Shaveta Dargan's profile →
Citations per field
00.5×10×12.7×
Shaveta Dargan · 1×
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 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021136
2
Exploring the frontiers of deep learning and natural language processing: A comprehensive overview of key challenges and emerging trends
Hit paper breakdown →
202396
3 202077
4 202165
5
Conventional to Deep Ensemble Methods for Hyperspectral Image Classification: A Comprehensive Survey
Hit paper breakdown →
202454
6 201938
7 201938
8 201933
9 202230
10 201529
11 202128
12 202127
13 201924
14 202323
15 202023
16 202123
17 202022
18 201922
19 202020
20 201719

About Khalil Khan

Khalil Khan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Media Technology and Materials Chemistry, having authored 66 papers that have together received 1.1k indexed citations. Recurring topics across this work include Face and Expression Recognition (15 papers), Face recognition and analysis (15 papers), Handwritten Text Recognition Techniques (9 papers), Biometric Identification and Security (7 papers), Natural Language Processing Techniques (6 papers), Remote-Sensing Image Classification (6 papers), Topic Modeling (6 papers) and Video Surveillance and Tracking Methods (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (414 citations), Media Technology (169 citations), Health Informatics (21 citations), Artificial Intelligence (272 citations) and Signal Processing (89 citations). Khalil Khan has collaborated with scholars based in Pakistan, Saudi Arabia and South Korea. Frequent co-authors include Rehan Ullah Khan, Kashif Ahmad, Ala Al‐Fuqaha, Waleed Albattah, Ali Mustafa Qamar, Riccardo Leonardi, Ali Daud, Wahab Khan, Majdi Maabreh and Junaid Qadir. Their work appears in journals such as IEEE Access, Symmetry, Computers, materials & continua/Computers, materials & continua (Print), Data in Brief and Sensors.

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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