Emon Kumar Dey

423 total citations
23 papers, 298 citations indexed

About

Emon Kumar Dey is a scholar working on Environmental Engineering, Geology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Emon Kumar Dey has authored 23 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Environmental Engineering, 9 papers in Geology and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Emon Kumar Dey's work include Remote Sensing and LiDAR Applications (10 papers), 3D Surveying and Cultural Heritage (9 papers) and 3D Shape Modeling and Analysis (5 papers). Emon Kumar Dey is often cited by papers focused on Remote Sensing and LiDAR Applications (10 papers), 3D Surveying and Cultural Heritage (9 papers) and 3D Shape Modeling and Analysis (5 papers). Emon Kumar Dey collaborates with scholars based in Bangladesh, Australia and Pakistan. Emon Kumar Dey's co-authors include Mohammad Awrangjeb, Bela Stantić, Mohammad Shoyaib, Fayez Tarsha Kurdi, Shanto Rahman, Md. Mostafijur Rahman, Md. Nurul Ahad Tawhid, Zahra Gharineiat, Glenn Campbell and B M Mainul Hossain and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.

In The Last Decade

Emon Kumar Dey

21 papers receiving 290 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Emon Kumar Dey Bangladesh 11 110 89 87 78 26 23 298
Zongyue Wang China 13 87 0.8× 122 1.4× 148 1.7× 113 1.4× 22 0.8× 43 374
Qinjun Qiu China 11 218 2.0× 86 1.0× 57 0.7× 26 0.3× 71 2.7× 25 386
Antonios Konstantaras Greece 13 124 1.1× 52 0.6× 39 0.4× 46 0.6× 7 0.3× 41 328
Shaohui Sun United States 5 154 1.4× 123 1.4× 31 0.4× 98 1.3× 4 0.2× 5 324
Valérie Gouet-Brunet France 10 37 0.3× 58 0.7× 303 3.5× 48 0.6× 49 1.9× 33 426
Ashraf S. Hussein Egypt 10 61 0.6× 41 0.5× 170 2.0× 9 0.1× 35 1.3× 41 346
Raghudeep Gadde Germany 9 82 0.7× 27 0.3× 247 2.8× 49 0.6× 16 0.6× 12 356
Wilson A. Harvey United States 8 76 0.7× 111 1.2× 169 1.9× 41 0.5× 93 3.6× 13 354
Pierre Hallot Belgium 10 31 0.3× 80 0.9× 58 0.7× 268 3.4× 6 0.2× 35 356

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-authorship network of co-authors of Emon Kumar Dey

This figure shows the co-authorship network connecting the top 25 collaborators of Emon Kumar Dey. A scholar is included among the top collaborators of Emon Kumar Dey based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Emon Kumar Dey. Emon Kumar Dey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Dey, Emon Kumar, et al.. (2024). Segmentation of LiDAR point cloud data in urban areas using adaptive neighborhood selection technique. PLoS ONE. 19(7). e0307138–e0307138.
3.
Dey, Emon Kumar, Mohammad Awrangjeb, Fayez Tarsha Kurdi, & Bela Stantić. (2023). Machine learning-based segmentation of aerial LiDAR point cloud data on building roof. European Journal of Remote Sensing. 56(1). 13 indexed citations
4.
Kurdi, Fayez Tarsha, Zahra Gharineiat, Glenn Campbell, Mohammad Awrangjeb, & Emon Kumar Dey. (2022). Automatic Filtering of Lidar Building Point Cloud in Case of Trees Associated to Building Roof. Remote Sensing. 14(2). 430–430. 16 indexed citations
5.
Dey, Emon Kumar, Mohammad Awrangjeb, Fayez Tarsha Kurdi, & Bela Stantić. (2021). Building Boundary Extraction from LiDAR Point Cloud Data. Griffith Research Online (Griffith University, Queensland, Australia). 1–6. 5 indexed citations
6.
Kurdi, Fayez Tarsha, Zahra Gharineiat, Glenn Campbell, Emon Kumar Dey, & Mohammad Awrangjeb. (2021). Full Series Algorithm of Automatic Building Extraction and Modelling From LiDAR Data. Griffith Research Online (Griffith University, Queensland, Australia). 1–8. 6 indexed citations
7.
Dey, Emon Kumar, Fayez Tarsha Kurdi, Mohammad Awrangjeb, & Bela Stantić. (2021). Effective Selection of Variable Point Neighbourhood for Feature Point Extraction from Aerial Building Point Cloud Data. Remote Sensing. 13(8). 1520–1520. 23 indexed citations
8.
Dey, Emon Kumar, Mohammad Awrangjeb, & Bela Stantić. (2020). Outlier detection and robust plane fitting for building roof extraction from LiDAR data. International Journal of Remote Sensing. 41(16). 6325–6354. 24 indexed citations
9.
Dey, Emon Kumar, Mohammad Awrangjeb, & Bela Stantić. (2019). An Unsupervised Outlier Detection Method For 3D Point Cloud Data. Griffith Research Online (Griffith University, Queensland, Australia). 6. 2495–2498. 2 indexed citations
10.
Dey, Emon Kumar, et al.. (2018). Remote Sensing Image Scene Classification. International Journal of Engineering and Manufacturing. 8(4). 13–20. 6 indexed citations
11.
Dey, Emon Kumar, et al.. (2018). Datasets for Aspect-Based Sentiment Analysis in Bangla and Its Baseline Evaluation. Data. 3(2). 15–15. 67 indexed citations
12.
Dey, Emon Kumar, et al.. (2018). Aspect Extraction from Bangla Reviews using Convolutional Neural Network. Griffith Research Online (Griffith University, Queensland, Australia). 262–267. 21 indexed citations
13.
Dey, Emon Kumar, et al.. (2017). A CNN Based Approach for Garments Texture Design Classification. SHILAP Revista de lepidopterología. 2(4). 119–125. 13 indexed citations
14.
Dey, Emon Kumar, et al.. (2016). Garments Texture Design Class Identification Using Deep Convolutional Neural Network. Preprints.org. 2 indexed citations
15.
Rahman, Md. Mostafijur, et al.. (2016). Bilateral histogram equalization with pre-processing for contrast enhancement. Griffith Research Online (Griffith University, Queensland, Australia). 231–236. 9 indexed citations
16.
Rahman, Shanto, et al.. (2016). Application of deep learning to computer vision: A comprehensive study. Griffith Research Online (Griffith University, Queensland, Australia). 592–597. 28 indexed citations
17.
Rahman, Shanto, et al.. (2016). Bilateral Histogram Equalization for Contrast Enhancement. International Journal of Software Innovation. 4(4). 15–34. 1 indexed citations
18.
Rahman, Md. Mostafijur, Shanto Rahman, Emon Kumar Dey, & Mohammad Shoyaib. (2015). A Gender Recognition Approach with an Embedded Preprocessing. International Journal of Information Technology and Computer Science. 7(7). 19–27. 10 indexed citations
19.
Dey, Emon Kumar, et al.. (2014). Chest X-ray analysis to detect mass tissue in lung. Griffith Research Online (Griffith University, Queensland, Australia). 2. 1–5. 7 indexed citations
20.
Dey, Emon Kumar, et al.. (2013). Computer Vision-Based Gender Detection from Facial Image. 8 indexed citations

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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