Bumshik Lee

1.7k total citations
70 papers, 1.2k citations indexed

About

Bumshik Lee is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Bumshik Lee has authored 70 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Computer Vision and Pattern Recognition, 25 papers in Signal Processing and 15 papers in Artificial Intelligence. Recurrent topics in Bumshik Lee's work include Video Coding and Compression Technologies (21 papers), Brain Tumor Detection and Classification (15 papers) and Advanced Image Processing Techniques (14 papers). Bumshik Lee is often cited by papers focused on Video Coding and Compression Technologies (21 papers), Brain Tumor Detection and Classification (15 papers) and Advanced Image Processing Techniques (14 papers). Bumshik Lee collaborates with scholars based in South Korea, Pakistan and United States. Bumshik Lee's co-authors include Jae Young Choi, Munchurl Kim, Nagaraj Yamanakkanavar, Truong Q. Nguyen, Jae-Young Pyun, Goo‐Rak Kwon, Byeong C. Kim, Kun Ho Lee, Mouazma Batool and Ahmad Jalal and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Transactions on Image Processing.

In The Last Decade

Bumshik Lee

63 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bumshik Lee South Korea	18	718	401	280	257	110	70	1.2k
Jae Young Choi South Korea	18	743 1.0×	150 0.4×	217 0.8×	330 1.3×	127 1.2×	62	1.2k
Xiuli Bi China	20	1.3k 1.7×	113 0.3×	150 0.5×	245 1.0×	88 0.8×	63	1.8k
Farhan Riaz Pakistan	16	317 0.4×	230 0.6×	63 0.2×	336 1.3×	127 1.2×	74	1.2k
Bharat Richhariya India	14	420 0.6×	90 0.2×	181 0.6×	538 2.1×	47 0.4×	19	992
Kaijian Xia China	19	399 0.6×	63 0.2×	165 0.6×	401 1.6×	259 2.4×	94	1.3k
Harikumar Rajaguru India	20	261 0.4×	308 0.8×	242 0.9×	815 3.2×	314 2.9×	244	1.8k
Ghada M. El‐Banby Egypt	20	577 0.8×	249 0.6×	89 0.3×	219 0.9×	151 1.4×	84	1.1k
Shamik Tiwari India	18	315 0.4×	40 0.1×	182 0.7×	280 1.1×	189 1.7×	74	975
Siqi Liu China	15	255 0.4×	51 0.1×	255 0.9×	412 1.6×	197 1.8×	74	1.1k
Galip Aydın Türkiye	17	225 0.3×	79 0.2×	110 0.4×	365 1.4×	183 1.7×	45	1.2k

Countries citing papers authored by Bumshik Lee

Since Specialization

Citations

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

Fields of papers citing papers by Bumshik Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bumshik Lee

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

All Works

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20 of 20 papers shown

Rao, Routhu Srinivasa, et al.. (2025). Multi-level feature enhancement and dual attention mechanisms for improved osteoporosis diagnosis. Neurocomputing. 652. 131069–131069. 1 indexed citations

Chao, Guoqing, et al.. (2025). Incomplete multi-view classification via graph neural network on heterogeneous graph. Information Fusion. 121. 103137–103137. 2 indexed citations

Rao, Routhu Srinivasa, et al.. (2025). BONE-Net: A novel hybrid deep-learning model for effective osteoporosis detection. PLoS ONE. 20(10). e0334664–e0334664.

Chao, Guoqing, et al.. (2025). DentSeg-EDA: A 3D tooth segmentation framework for CBCT images using enhanced dual attention. Neurocomputing. 655. 131437–131437.

Muhammad, Ishaq & Bumshik Lee. (2025). A Hybrid Attention-Driven Deep Learning Model for Osteoporosis Detection in Knees. 1043–1046. 2 indexed citations

Lee, Bumshik, et al.. (2025). ColorFormer: A novel colorization method based on a transformer. Neurocomputing. 649. 130743–130743.

Lee, Bumshik, et al.. (2024). Transforming Color: A Novel Image Colorization Method. Electronics. 13(13). 2511–2511. 2 indexed citations

Azhar, Muhammad, et al.. (2024). IDRandom-Forest: Advanced Random Forest for Real-Time Intrusion Detection. IEEE Access. 12. 113842–113854. 1 indexed citations

Lee, Bumshik, et al.. (2024). Contact Lens Automatic Optical Inspection Method Based on YOLOv9. 1–3. 1 indexed citations

10.

Batool, Mouazma, et al.. (2024). Multimodal Human Action Recognition Framework Using an Improved CNNGRU Classifier. IEEE Access. 12. 158388–158406. 18 indexed citations

11.

Lee, Bumshik, et al.. (2024). Attention-based deep learning framework for skin lesion segmentation. 13(3). 53–61.

12.

Yamanakkanavar, Nagaraj, et al.. (2023). AMCC-Net: An asymmetric multi-cross convolution for skin lesion segmentation on dermoscopic images. Engineering Applications of Artificial Intelligence. 122. 106154–106154. 15 indexed citations

13.

Lee, Bumshik, et al.. (2023). BOLD-net: Brightness enhancement for old images using deep curve estimation and attention modules. Engineering Applications of Artificial Intelligence. 126. 106925–106925.

14.

Azhar, Muhammad, et al.. (2023). Efficient Video Summarization with Hydra Attentive Vision Transformer. 196–201. 1 indexed citations

15.

Hussain, Khadim, et al.. (2023). ASAnalyzer: Attention based Sentiment analyzer for Real-world Sentiment Analysis. 184–189. 2 indexed citations

16.

Ullah, Shahid, et al.. (2023). Multimodal medical image fusion in NSST domain with structural and spectral features enhancement. Heliyon. 9(6). e17334–e17334. 5 indexed citations

17.

Khan, Sajid Ullah, et al.. (2023). A novel CT image de-noising and fusion based deep learning network to screen for disease (COVID-19). Scientific Reports. 13(1). 6601–6601. 6 indexed citations

18.

Yamanakkanavar, Nagaraj & Bumshik Lee. (2021). A novel M-SegNet with global attention CNN architecture for automatic segmentation of brain MRI. Computers in Biology and Medicine. 136. 104761–104761. 41 indexed citations

19.

Lee, Bumshik, Nagaraj Yamanakkanavar, & Jae Young Choi. (2020). Automatic segmentation of brain MRI using a novel patch-wise U-net deep architecture. PLoS ONE. 15(8). e0236493–e0236493. 60 indexed citations

20.

Lee, Bumshik, Munchurl Kim, & Truong Q. Nguyen. (2013). A Frame-Level Rate Control Scheme Based on Texture and Nontexture Rate Models for High Efficiency Video Coding. IEEE Transactions on Circuits and Systems for Video Technology. 24(3). 465–479. 76 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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