Dong Seop Kim

457 total citations
8 papers, 330 citations indexed

About

Dong Seop Kim is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Information Systems. According to data from OpenAlex, Dong Seop Kim has authored 8 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 4 papers in Signal Processing and 2 papers in Information Systems. Recurrent topics in Dong Seop Kim's work include Face recognition and analysis (4 papers), Biometric Identification and Security (4 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Dong Seop Kim is often cited by papers focused on Face recognition and analysis (4 papers), Biometric Identification and Security (4 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Dong Seop Kim collaborates with scholars based in South Korea. Dong Seop Kim's co-authors include Muhammad Arsalan, Muhammad Owais, Kang Park, Kang Ryoung Park, Rizwan Ali Naqvi, Min Beom Lee, Phong Nguyen-Ha, Min Kim, Hyung Hong and Yoo‐Na Kim and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

In The Last Decade

Dong Seop Kim

8 papers receiving 324 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dong Seop Kim South Korea	7	173	143	58	46	35	8	330
Himanshu S. Bhatt India	14	418 2.4×	523 3.7×	91 1.6×	30 0.7×	6 0.2×	27	669
Feng Yue China	9	192 1.1×	160 1.1×	54 0.9×	30 0.7×	3 0.1×	30	300
Yuan‐Yu Tsai Taiwan	12	30 0.2×	299 2.1×	22 0.4×	14 0.3×	46 1.3×	40	486
Shivanand S. Gornale India	8	68 0.4×	111 0.8×	21 0.4×	14 0.3×	2 0.1×	42	231
Abduljalil Radman Malaysia	9	151 0.9×	141 1.0×	59 1.0×	17 0.4×	1 0.0×	31	306
Christof Kauba Austria	14	376 2.2×	228 1.6×	107 1.8×	142 3.1×		35	431
G. Fahmy Egypt	6	53 0.3×	138 1.0×	27 0.5×	11 0.2×		23	269
Haozhe Liu China	10	128 0.7×	133 0.9×	25 0.4×	13 0.3×		32	291
Marcin Adamski Poland	8	31 0.2×	107 0.7×	19 0.3×	4 0.1×	5 0.1×	22	302
Peter Rot Slovenia	7	180 1.0×	199 1.4×	45 0.8×	10 0.2×		12	310

Countries citing papers authored by Dong Seop Kim

Since Specialization

Citations

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

Fields of papers citing papers by Dong Seop Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dong Seop Kim. 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 Dong Seop Kim. The network helps show where Dong Seop Kim may publish in the future.

Co-authorship network of co-authors of Dong Seop Kim

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

8 of 8 papers shown

1.

Kim, Yoo‐Na, Dong‐Woo Choi, Dong Seop Kim, Eun‐Cheol Park, & Ja‐Young Kwon. (2021). Maternal age and risk of early neonatal mortality: a national cohort study. Scientific Reports. 11(1). 814–814. 44 indexed citations

2.

Kim, Dong Seop, Yu Hwan Kim, & Kang Ryoung Park. (2021). Semantic Segmentation by Multi-Scale Feature Extraction Based on Grouped Dilated Convolution Module. Mathematics. 9(9). 947–947. 8 indexed citations

3.

Kim, Dong Seop, Muhammad Arsalan, Muhammad Owais, & Kang Ryoung Park. (2020). ESSN: Enhanced Semantic Segmentation Network by Residual Concatenation of Feature Maps. IEEE Access. 8. 21363–21379. 5 indexed citations

4.

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

5.

Arsalan, Muhammad, Dong Seop Kim, Muhammad Owais, & Kang Ryoung Park. (2019). OR-Skip-Net: Outer residual skip network for skin segmentation in non-ideal situations. Expert Systems with Applications. 141. 112922–112922. 27 indexed citations

6.

Arsalan, Muhammad, Rizwan Ali Naqvi, Dong Seop Kim, et al.. (2018). IrisDenseNet: Robust Iris Segmentation Using Densely Connected Fully Convolutional Networks in the Images by Visible Light and Near-Infrared Light Camera Sensors. Sensors. 18(5). 1501–1501. 79 indexed citations

7.

Kim, Dong Seop, Muhammad Arsalan, & Kang Park. (2018). Convolutional Neural Network-Based Shadow Detection in Images Using Visible Light Camera Sensor. Sensors. 18(4). 960–960. 22 indexed citations

8.

Arsalan, Muhammad, Hyung Hong, Rizwan Ali Naqvi, et al.. (2017). Deep Learning-Based Iris Segmentation for Iris Recognition in Visible Light Environment. Symmetry. 9(11). 263–263. 78 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