Imran Usman

752 citations
41 papers · 574 · h-index 15

Impact in

Papers in

Imran Usman

41 papers receiving 537 citations

Peers

Imran Usman
Comparison fields: 5 of 73
  • Signal Processing 202
  • Computer Vision and Pattern Recognition 325
  • Human-Computer Interaction 30
  • Information Systems 120
  • Media Technology 43
Replace Wei-Bang Chen with:
Wei-Bang Chen United States
Woong-Kee Loh South Korea
I. Jeena Jacob India
Yong Zhu China
Souhwan Jung South Korea
Tengku Mohd Tengku Sembok Malaysia
Ranjeet Kumar Rout India
Anoop Namboodiri India
Karina Toscano Mexico
Lamiaa A. Elrefaei Egypt
Imran Usman relative to Wei-Bang Chen United States Wei-Bang Chen's profile →
Citations per field
00.5×4.3×
Wei-Bang Chen · 1×
Citations per year

Countries citing papers authored by Imran Usman

Since Specialization
Citations

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

Fields of papers citing papers by Imran Usman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201066
2 201452
3 201246
4 200944
5 201237
6 201231
7 202226
8 201425
9 201322
10 202020
11 201317
12 201417
13 202017
14 201116
15 201916
16 201214
17 201712
18
Amodel for english to urdu and hindi machine translation system using translation rules and artificial neural network.
201911
19 202110
20 20177

About Imran Usman

Imran Usman is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Information Systems, Electrical and Electronic Engineering and Media Technology, having authored 41 papers that have together received 574 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (16 papers), Chaos-based Image/Signal Encryption (11 papers), Digital Media Forensic Detection (11 papers), Biometric Identification and Security (10 papers), User Authentication and Security Systems (8 papers), Video Coding and Compression Technologies (3 papers), Computer Graphics and Visualization Techniques (3 papers) and Image Processing Techniques and Applications (2 papers). The work is most often cited by research in Signal Processing (202 citations), Computer Vision and Pattern Recognition (325 citations), Human-Computer Interaction (30 citations), Information Systems (120 citations) and Media Technology (43 citations). Imran Usman has collaborated with scholars based in Pakistan, Saudi Arabia and South Korea. Frequent co-authors include Farmanullah Jan, Asifullah Khan, Amir Hanif Dar, Muhammad Farhan Shafique, Shahid Khan, Shahzad A. Malik, Mohammad A. U. Khan, Muhammad Awais, Abdul Samad Khan and Muhammad Nasir Abrar. Their work appears in journals such as Multimedia Tools and Applications, Optik, Chinese Optics Letters, Computers & Electrical Engineering and Information 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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