Min Beom Lee

514 total citations
11 papers, 376 citations indexed

About

Min Beom Lee is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Ophthalmology. According to data from OpenAlex, Min Beom Lee has authored 11 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 5 papers in Signal Processing and 2 papers in Ophthalmology. Recurrent topics in Min Beom Lee's work include Face recognition and analysis (5 papers), Biometric Identification and Security (4 papers) and Glaucoma and retinal disorders (2 papers). Min Beom Lee is often cited by papers focused on Face recognition and analysis (5 papers), Biometric Identification and Security (4 papers) and Glaucoma and retinal disorders (2 papers). Min Beom Lee collaborates with scholars based in South Korea. Min Beom Lee's co-authors include Kang Ryoung Park, Muhammad Arsalan, Muhammad Owais, Tahir Mahmood, Yu Hwan Kim, Dong Seop Kim, Adnan Haider, Tahir Mahmood, Tuyen Danh Pham and Dat Tien Nguyen and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Sensors.

In The Last Decade

Min Beom Lee

11 papers receiving 363 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Min Beom Lee South Korea 8 175 153 146 85 37 11 376
Ashkan Tashk Iran 11 221 1.3× 110 0.7× 144 1.0× 34 0.4× 24 0.6× 35 328
Somsak Choomchuay Thailand 11 134 0.8× 121 0.8× 132 0.9× 46 0.5× 9 0.2× 60 349
Amir Hanif Dar Pakistan 9 130 0.7× 109 0.7× 146 1.0× 56 0.7× 41 1.1× 14 338
Isam Abu‐Qasmieh Jordan 13 77 0.4× 178 1.2× 226 1.5× 30 0.4× 25 0.7× 39 604
Hiam Alquran Jordan 15 105 0.6× 257 1.7× 358 2.5× 31 0.4× 50 1.4× 71 816
T. Shanthi India 7 142 0.8× 202 1.3× 108 0.7× 31 0.4× 27 0.7× 10 425
Marı́a J. Carreira Spain 14 226 1.3× 428 2.8× 132 0.9× 72 0.8× 34 0.9× 39 802
Prabhpreet Kaur India 12 158 0.9× 185 1.2× 178 1.2× 10 0.1× 73 2.0× 43 501
Alireza Norouzi Malaysia 10 368 2.1× 144 0.9× 173 1.2× 34 0.4× 63 1.7× 14 643

Countries citing papers authored by Min Beom Lee

Since Specialization
Citations

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

Fields of papers citing papers by Min Beom Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min Beom Lee. 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 Min Beom Lee. The network helps show where Min Beom Lee may publish in the future.

Co-authorship network of co-authors of Min Beom Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Min Beom Lee. A scholar is included among the top collaborators of Min Beom Lee 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 Min Beom Lee. Min Beom Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Haider, Adnan, Muhammad Arsalan, Min Beom Lee, et al.. (2022). Artificial Intelligence-based computer-aided diagnosis of glaucoma using retinal fundus images. Expert Systems with Applications. 207. 117968–117968. 48 indexed citations
3.
Lee, Min Beom, et al.. (2021). Enhanced Iris Recognition Method by Generative Adversarial Network-Based Image Reconstruction. IEEE Access. 9. 10120–10135. 12 indexed citations
4.
Mahmood, Tahir, Muhammad Arsalan, Muhammad Owais, Min Beom Lee, & Kang Ryoung Park. (2020). Artificial Intelligence-Based Mitosis Detection in Breast Cancer Histopathology Images Using Faster R-CNN and Deep CNNs. Journal of Clinical Medicine. 9(3). 749–749. 139 indexed citations
5.
Nguyen, Dat Tien, Min Beom Lee, Tuyen Danh Pham, et al.. (2020). Enhanced Image-Based Endoscopic Pathological Site Classification Using an Ensemble of Deep Learning Models. Sensors. 20(21). 5982–5982. 25 indexed citations
6.
Nguyen, Dat Tien, Tuyen Danh Pham, Min Beom Lee, & Kang Ryoung Park. (2019). Visible-Light Camera Sensor-Based Presentation Attack Detection for Face Recognition by Combining Spatial and Temporal Information. Sensors. 19(2). 410–410. 10 indexed citations
7.
Arsalan, Muhammad, Dong Seop Kim, Min Beom Lee, Muhammad Owais, & Kang Ryoung Park. (2019). FRED-Net: Fully residual encoder–decoder network for accurate iris segmentation. Expert Systems with Applications. 122. 217–241. 67 indexed citations
8.
Lee, Min Beom, Yu Hwan Kim, & Kang Ryoung Park. (2019). Conditional Generative Adversarial Network- Based Data Augmentation for Enhancement of Iris Recognition Accuracy. IEEE Access. 7. 122134–122152. 49 indexed citations
9.
Kim, Yu Hwan, Min Beom Lee, Se Hyun Nam, & Kang Ryoung Park. (2019). Enhancing the Accuracies of Age Estimation With Heterogeneous Databases Using Modified CycleGAN. IEEE Access. 7. 163461–163477. 4 indexed citations
10.
Hong, Hyung, Rizwan Ali Naqvi, Phong Nguyen-Ha, et al.. (2017). Fuzzy-based estimation of continuous Z-distances and discrete directions of home appliances for NIR camera-based gaze tracking system. Multimedia Tools and Applications. 77(10). 11925–11955. 1 indexed citations
11.
Kim, Aram, Hyuk Soon Kim, Do Kyun Kim, et al.. (2016). The Extract of Chrysanthemum zawadskii var. latilobum Ameliorates Collagen‐Induced Arthritis in Mice. Evidence-based Complementary and Alternative Medicine. 2016(1). 3915013–3915013. 15 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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