Diaa Uliyan

590 citations
22 papers · 416 · h-index 10

Impact in

Papers in

Diaa Uliyan

22 papers receiving 400 citations

Peers

Diaa Uliyan
Comparison fields: 5 of 76
  • Media Technology 119
  • Computer Vision and Pattern Recognition 228
  • Biophysics 52
  • Computer Science Applications 41
  • Signal Processing 51
Replace Shan Jia with:
Shan Jia China
Weihua Huang Singapore
Shreya Shankar United States
Mickaël Coustaty France
Mahadevan Subramaniam United States
Hammad Majeed Pakistan
Stefanie Nowak Germany
Ehsan Sheybani United States
Hussein Tuama Hazim Iraq
Michele Scalera Italy
Diaa Uliyan relative to Shan Jia China Shan Jia's profile →
Citations per field
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Shan Jia · 1×
Citations per year

Countries citing papers authored by Diaa Uliyan

Since Specialization
Citations

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

Fields of papers citing papers by Diaa Uliyan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Diaa Uliyan, 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 Diaa Uliyan Line = papers co-authored together Diaa Uliyan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201772
2 201752
3 201952
4 201637
5 202236
6 201535
7 201632
8 202121
9 201716
10 202015
11 20248
12 20197
13 20187
14 20175
15 20174
16 20203
17
A forensic scheme for revealing post-processed region duplication forgery in suspected images
20183
18 20233
19 20173
20 20182

About Diaa Uliyan

Diaa Uliyan is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Biophysics, Artificial Intelligence and Information Systems, having authored 22 papers that have together received 416 indexed citations. Recurring topics across this work include Digital Media Forensic Detection (15 papers), Image Processing Techniques and Applications (11 papers), Advanced Steganography and Watermarking Techniques (8 papers), Cell Image Analysis Techniques (7 papers), Online Learning and Analytics (2 papers), Spam and Phishing Detection (1 paper), Mobile Ad Hoc Networks (1 paper) and Intelligent Tutoring Systems and Adaptive Learning (1 paper). The work is most often cited by research in Media Technology (119 citations), Computer Vision and Pattern Recognition (228 citations), Biophysics (52 citations), Computer Science Applications (41 citations) and Signal Processing (51 citations). Diaa Uliyan has collaborated with scholars based in Jordan, Malaysia and Saudi Arabia. Frequent co-authors include Hamid A. Jalab, Somayeh Sadeghi, Ainuddin Wahid Abdul Wahab, Sajjad Dadkhah, Abdelrahman Abuarqoub, Muhannad A. Abu‐Hashem, Giuseppe Mazzola, Fayez Alfayez, Mohammad Hammoudeh and Hesham Abusaimeh. Their work appears in journals such as IEEE Access, Pattern Analysis and Applications, Engineering Science and Technology an International Journal, Symmetry and Expert Systems with Applications.

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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