Muhammad Ahsan Ullah

610 citations
39 papers · 407 indexed · h-index 10

Muhammad Ahsan Ullah

36 papers receiving 384 citations

Peers

Muhammad Ahsan Ullah
Comparison fields: 5 of 72
  • Computer Vision and Pattern Recognition 126
  • Media Technology 25
  • Control and Systems Engineering 57
  • Signal Processing 25
  • Artificial Intelligence 65
Replace Eman M. El-Gendy with:
Eman M. El-Gendy Egypt
Yohannes Kassahun Germany
Xiao-Yun Zhou China
Chan‐Yun Yang Taiwan
Farhan Hussain Pakistan
Jiehua Zhang China
Rosli Besar Malaysia
Sheheryar Khan Hong Kong
Suane Pires P. da Silva Brazil
Suman Tewary India
Muhammad Ahsan Ullah relative to Eman M. El-Gendy Egypt Eman M. El-Gendy's profile →
Citations per field
00.5×10×14×
Eman M. El-Gendy · 1×
Citations per year

Countries citing papers authored by Muhammad Ahsan Ullah

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Ahsan Ullah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Muhammad Ahsan 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 Muhammad Ahsan Ullah. The network helps show where Muhammad Ahsan Ullah may publish in the future.

Co-authorship network

The 13 scholars most cited alongside Muhammad Ahsan 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 Muhammad Ahsan Ullah Line = papers co-authored together Muhammad Ahsan Ullah links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20230
3 20221
4 202137
5 20213
6 20204
7 20203
8 20197
9 20191
10 201933
11 20172
12 20174
13 20179
14 20152
15
Design and Implementation of Efficient Elevator Control System using FPGA
20144
16 201431
17 201435
18 20120
19
Multi-stage threshold decoding of high rate convolutional codes for optical communications
20116
20 20115

About Muhammad Ahsan Ullah

Muhammad Ahsan Ullah is a scholar working on Computer Vision and Pattern Recognition, Energy Engineering and Power Technology and Computer Graphics and Computer-Aided Design, having authored 39 papers that have together received 407 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (7 papers), Chaos-based Image/Signal Encryption (6 papers), Advanced Wireless Communication Techniques (6 papers), Digital Media Forensic Detection (6 papers), Error Correcting Code Techniques (5 papers), Cutaneous Melanoma Detection and Management (4 papers), Image and Signal Denoising Methods (4 papers) and AI in cancer detection (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (126 citations), Media Technology (25 citations) and Control and Systems Engineering (57 citations). Muhammad Ahsan Ullah has collaborated with scholars based in Bangladesh, Japan and South Korea. Frequent co-authors include Md. Saiful Islam, Md Saiful Islam, Mohammad Shamsul Arefin, Oksam Chae, M. Ali Akber Dewan, Muhammad Ahsan Saeed, Dong Min Kim, Subrata Sarker, A. J. Saleh Ahammad and Mohammad Al Mamun. Their work appears in journals such as IEEE Sensors Journal, Journal of King Saud University - Computer and Information Sciences and Multimedia Systems.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026