Emon Kumar Dey

21 papers receiving 290 citations

Peers

Emon Kumar Dey
Comparison fields: 5 of 64
  • Geology 78
  • Environmental Engineering 89
  • Computer Vision and Pattern Recognition 87
  • Artificial Intelligence 110
  • Media Technology 26
Replace Zongyue Wang with:
Zongyue Wang China
Haotian Zhang China
Raghudeep Gadde Germany
Wilson A. Harvey United States
Valérie Gouet-Brunet France
Jihui Tu China
Qinjun Qiu China
Shaohui Sun United States
Lluís Castrejón Canada
Antonios Konstantaras Greece
Emon Kumar Dey relative to Zongyue Wang China Zongyue Wang's profile →
Citations per field
00.5×3.5×
Zongyue Wang · 1×
Citations per year

Countries citing papers authored by Emon Kumar Dey

Since Specialization
Citations

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

Fields of papers citing papers by Emon Kumar Dey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emon Kumar Dey. 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 Emon Kumar Dey. The network helps show where Emon Kumar Dey may publish in the future.

Co-authors

The 11 scholars most cited alongside Emon Kumar Dey, 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 Emon Kumar Dey Line = papers co-authored together Emon Kumar Dey links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201867
2 201628
3 202024
4 202123
5 201821
6 202216
7
A CNN Based Approach for Garments Texture Design Classification
201713
8 202313
9 201513
10 201512
11 202012
12 201510
13 20169
14
Computer Vision-Based Gender Detection from Facial Image
20138
15 20147
16 20186
17 20216
18 20215
19 20162
20 20192

About Emon Kumar Dey

Emon Kumar Dey is a scholar working on Environmental Engineering, Geology, Computer Vision and Pattern Recognition, Computational Mechanics and Ocean Engineering, having authored 23 papers that have together received 298 indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (10 papers), 3D Surveying and Cultural Heritage (9 papers), 3D Shape Modeling and Analysis (5 papers), Automated Road and Building Extraction (4 papers), Textile materials and evaluations (3 papers), Face and Expression Recognition (2 papers), Biometric Identification and Security (2 papers) and Industrial Vision Systems and Defect Detection (2 papers). The work is most often cited by research in Geology (78 citations), Environmental Engineering (89 citations), Computer Vision and Pattern Recognition (87 citations), Artificial Intelligence (110 citations) and Media Technology (26 citations). Emon Kumar Dey has collaborated with scholars based in Bangladesh, Australia and Pakistan. Frequent co-authors include Mohammad Awrangjeb, Bela Stantić, Mohammad Shoyaib, Fayez Tarsha Kurdi, Md. Mostafijur Rahman, Shanto Rahman, Md. Nurul Ahad Tawhid, B M Mainul Hossain, Glenn Campbell and Zahra Gharineiat. Their work appears in journals such as Remote Sensing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Access, European Journal of Remote Sensing and International Journal of Remote Sensing.

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