Kyungbok Min

1.7k total citations · 2 hit papers
9 papers, 1.1k citations indexed

About

Kyungbok Min is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Ecology. According to data from OpenAlex, Kyungbok Min has authored 9 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 2 papers in Computer Networks and Communications and 2 papers in Ecology. Recurrent topics in Kyungbok Min's work include IoT and Edge/Fog Computing (2 papers), Advanced Steganography and Watermarking Techniques (2 papers) and Remote Sensing in Agriculture (2 papers). Kyungbok Min is often cited by papers focused on IoT and Edge/Fog Computing (2 papers), Advanced Steganography and Watermarking Techniques (2 papers) and Remote Sensing in Agriculture (2 papers). Kyungbok Min collaborates with scholars based in South Korea, Egypt and India. Kyungbok Min's co-authors include L. Minh Dang, Md. Jalil Piran, Hyeonjoon Moon, Hanxiang Wang, Hyeonjoon Moon, Dongil Han, Abolghasem Sadeghi‐Niaraki, Jin Tae Kwak, Yanfen Li and Mohamed Elhoseny and has published in prestigious journals such as IEEE Access, Pattern Recognition and Remote Sensing.

In The Last Decade

Kyungbok Min

9 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Sensor-based and vision-based human activity recognition: A comprehensive survey

2020 472 citations L. Minh Dang, Kyungbok Min et al. Pattern Recognition profile →
A Survey on Internet of Things and Cloud Computing for Healthcare

2019 373 citations L. Minh Dang, Md. Jalil Piran et al. Electronics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kyungbok Min South Korea	8	451	321	250	192	190	9	1.1k
Arpit Jain India	22	315 0.7×	341 1.1×	263 1.1×	247 1.3×	60 0.3×	100	1.4k
Jennifer S. Raj India	18	182 0.4×	406 1.3×	231 0.9×	221 1.2×	74 0.4×	60	1.0k
Sandeep Kumar India	23	444 1.0×	224 0.7×	341 1.4×	210 1.1×	63 0.3×	118	1.5k
Yunsick Sung South Korea	20	354 0.8×	257 0.8×	261 1.0×	156 0.8×	58 0.3×	114	1.2k
Mehdi Adda Canada	19	203 0.5×	166 0.5×	322 1.3×	212 1.1×	71 0.4×	108	1.2k
Hanan Aljuaid Saudi Arabia	19	317 0.7×	101 0.3×	544 2.2×	192 1.0×	90 0.5×	71	1.3k
Kirit Modi India	7	252 0.6×	244 0.8×	263 1.1×	313 1.6×	56 0.3×	24	1.1k
Muhammad Ilyas Pakistan	18	221 0.5×	458 1.4×	257 1.0×	260 1.4×	77 0.4×	106	1.3k
Guangyan Huang Australia	21	296 0.7×	256 0.8×	443 1.8×	399 2.1×	67 0.4×	97	1.4k
Anandakumar Haldorai India	15	254 0.6×	321 1.0×	224 0.9×	217 1.1×	83 0.4×	76	1.0k

Countries citing papers authored by Kyungbok Min

Since Specialization

Citations

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

Fields of papers citing papers by Kyungbok Min

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyungbok Min

This figure shows the co-authorship network connecting the top 25 collaborators of Kyungbok Min. A scholar is included among the top collaborators of Kyungbok Min 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 Kyungbok Min. Kyungbok Min 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:

9 of 9 papers shown

1.

Dang, L. Minh, Kyungbok Min, Tan N. Nguyen, et al.. (2023). Vision-Based White Radish Phenotypic Trait Measurement with Smartphone Imagery. Agronomy. 13(6). 1630–1630. 10 indexed citations

2.

Min, Kyungbok, et al.. (2021). Deep Learning-Based Short Story Generation for an Image Using the Encoder-Decoder Structure. IEEE Access. 9. 113550–113557. 14 indexed citations

3.

Devaraj, A. Francis Saviour, G. Murugaboopathi, Mohamed Elhoseny, et al.. (2020). An Efficient Framework for Secure Image Archival and Retrieval System Using Multiple Secret Share Creation Scheme. IEEE Access. 8. 144310–144320. 18 indexed citations

4.

Dang, L. Minh, et al.. (2020). Sensor-based and vision-based human activity recognition: A comprehensive survey. Pattern Recognition. 108. 107561–107561. 472 indexed citations breakdown →

5.

Dang, L. Minh, Hanxiang Wang, Yanfen Li, et al.. (2020). Fusarium Wilt of Radish Detection Using RGB and Near Infrared Images from Unmanned Aerial Vehicles. Remote Sensing. 12(17). 2863–2863. 35 indexed citations

6.

Dang, L. Minh, Kyungbok Min, Sujin Lee, Dongil Han, & Hyeonjoon Moon. (2020). Tampered and Computer-Generated Face Images Identification Based on Deep Learning. Applied Sciences. 10(2). 505–505. 10 indexed citations

7.

Dang, L. Minh, Md. Jalil Piran, Dongil Han, Kyungbok Min, & Hyeonjoon Moon. (2019). A Survey on Internet of Things and Cloud Computing for Healthcare. Electronics. 8(7). 768–768. 373 indexed citations breakdown →

8.

Hassan, Syed Ibrahim, et al.. (2018). Damage Detection and Classification System for Sewer Inspection using Convolutional Neural Networks based on Deep Learning. The Journal of the Korean Institute of Information and Communication Engineering. 22(3). 451–457. 2 indexed citations

9.

Sadeghi‐Niaraki, Abolghasem, et al.. (2018). Deep Learning Approach for Short-Term Stock Trends Prediction Based on Two-Stream Gated Recurrent Unit Network. IEEE Access. 6. 55392–55404. 167 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.

Explore authors with similar magnitude of impact