Minho Lee

3.8k total citations
174 papers, 2.3k citations indexed

About

Minho Lee is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Minho Lee has authored 174 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Computer Vision and Pattern Recognition, 44 papers in Artificial Intelligence and 33 papers in Cognitive Neuroscience. Recurrent topics in Minho Lee's work include Visual Attention and Saliency Detection (25 papers), Face and Expression Recognition (19 papers) and Gaze Tracking and Assistive Technology (18 papers). Minho Lee is often cited by papers focused on Visual Attention and Saliency Detection (25 papers), Face and Expression Recognition (19 papers) and Gaze Tracking and Assistive Technology (18 papers). Minho Lee collaborates with scholars based in South Korea, Japan and China. Minho Lee's co-authors include Rammohan Mallipeddi, Sang-Woo Ban, Amin Jalali, Gil‐Jin Jang, Jihun Kim, Yong-Hwa Choi, Zhibin Yu, Sangwook Kim, Sungmoon Jeong and Hyeung‐Sik Choi and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Applied Energy and Computers in Human Behavior.

In The Last Decade

Minho Lee

169 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Minho Lee South Korea	26	748	625	353	328	227	174	2.3k
Khaled Elleithy United States	31	931 1.2×	513 0.8×	520 1.5×	449 1.4×	135 0.6×	244	3.0k
Sonya Coleman United Kingdom	22	999 1.3×	410 0.7×	333 0.9×	367 1.1×	182 0.8×	240	2.6k
Teddy Surya Gunawan Malaysia	23	477 0.6×	706 1.1×	490 1.4×	164 0.5×	181 0.8×	283	2.6k
Mauridhi Hery Purnomo Indonesia	24	484 0.6×	634 1.0×	895 2.5×	254 0.8×	667 2.9×	510	3.1k
Tao Chen China	26	1.2k 1.7×	860 1.4×	293 0.8×	145 0.4×	127 0.6×	130	2.5k
Wenbing Zhao United States	29	614 0.8×	690 1.1×	512 1.5×	274 0.8×	172 0.8×	212	3.2k
German I. Parisi Germany	13	770 1.0×	1.3k 2.1×	185 0.5×	183 0.6×	158 0.7×	30	2.1k
Jim Tørresen Norway	26	700 0.9×	739 1.2×	336 1.0×	249 0.8×	155 0.7×	211	2.7k
M. Shamim Kaiser Bangladesh	32	511 0.7×	1.1k 1.8×	550 1.6×	436 1.3×	149 0.7×	191	3.9k
Syed Muhammad Anwar Pakistan	31	941 1.3×	657 1.1×	427 1.2×	963 2.9×	192 0.8×	119	3.5k

Countries citing papers authored by Minho Lee

Since Specialization

Citations

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

Fields of papers citing papers by Minho Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minho Lee

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Lee, Minho, et al.. (2024). Context-Aware Level-Wise Feature Fusion Network with Anomaly Focus for Precise Classification of Incomplete Atypical Femoral Fractures in X-Ray Images. Mathematics. 12(22). 3613–3613. 1 indexed citations

Jalali, Amin, et al.. (2024). Dynamically Adaptive Deformable Feature Fusion for multi-scale character detection in ancient documents. Engineering Applications of Artificial Intelligence. 139. 109458–109458. 1 indexed citations

Jalali, Amin, et al.. (2023). Hierarchical reasoning based on perception action cycle for visual question answering. Expert Systems with Applications. 241. 122698–122698. 3 indexed citations

Jalali, Amin, et al.. (2023). Multi-level alignment for few-shot temporal action localization. Information Sciences. 650. 119618–119618. 7 indexed citations

Jalali, Amin & Minho Lee. (2023). Adversarial Lagrangian integrated contrastive embedding for limited size datasets. Neural Networks. 160. 122–131. 7 indexed citations

Jalali, Amin, et al.. (2023). Encoder–decoder cycle for visual question answering based on perception-action cycle. Pattern Recognition. 144. 109848–109848. 12 indexed citations

Lee, Minho, et al.. (2023). Implementation of a Virtual Assistant System Based on Deep Multi-modal Data Integration. Journal of Signal Processing Systems. 96(3). 179–189. 2 indexed citations

Lee, Minho, et al.. (2020). Stacked DeBERT: All attention in incomplete data for text classification. Neural Networks. 136. 87–96. 19 indexed citations

Park, Jongha, Jihye Yun, Namkug Kim, et al.. (2019). Fully Automated Lung Lobe Segmentation in Volumetric Chest CT with 3D U-Net: Validation with Intra- and Extra-Datasets. Journal of Digital Imaging. 33(1). 221–230. 82 indexed citations

10.

Yun, Jihye, Donghoon Yu, Jaeyoun Yi, et al.. (2018). Improvement of fully automated airway segmentation on volumetric computed tomographic images using a 2.5 dimensional convolutional neural net. Medical Image Analysis. 51. 13–20. 75 indexed citations

11.

Kim, Sangwook, Zhibin Yu, & Minho Lee. (2017). Understanding human intention by connecting perception and action learning in artificial agents. Neural Networks. 92. 29–38. 16 indexed citations

12.

Yu, Zhibin, et al.. (2017). Continuous Timescale Long-Short Term Memory Neural Network for Human Intent Understanding. Frontiers in Neurorobotics. 11. 42–42. 23 indexed citations

13.

Lee, Giyoung, et al.. (2015). Modulation of resource allocation by intelligent individuals in linguistic, mathematical and visuo-spatial tasks. International Journal of Psychophysiology. 97(1). 14–22. 14 indexed citations

14.

Yu, Zhibin & Minho Lee. (2015). Real-time human action classification using a dynamic neural model. Neural Networks. 69. 29–43. 23 indexed citations

15.

Ban, Sang-Woo, et al.. (2013). Top-down attention based on object representation and incremental memory for knowledge building and inference. Neural Networks. 46. 9–22. 1 indexed citations

16.

Lee, Sangil, et al.. (2011). Verifications of the low-cost eye-tracker KSL-240. 1. 90–92. 2 indexed citations

17.

Jeong, Sungmoon, Hiroaki Arie, Minho Lee, & Jun Tani. (2011). Neuro-robotics study on integrative learning of proactive visual attention and motor behaviors. Cognitive Neurodynamics. 6(1). 43–59. 14 indexed citations

18.

Jeong, Sungmoon & Minho Lee. (2011). Adaptive object recognition model using incremental feature representation and hierarchical classification. Neural Networks. 25(1). 130–140. 15 indexed citations

19.

Park, Keun-Yong, et al.. (2002). ISFET glucose sensor system with fast recovery characteristics by employing electrolysis. Sensors and Actuators B Chemical. 83(1-3). 90–97. 58 indexed citations

20.

Lee, Dae-Sik, et al.. (2000). Explosive gas recognition system using thick film sensor array and neural network. Sensors and Actuators B Chemical. 71(1-2). 90–98. 41 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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