Jaekwang Kim

705 total citations
58 papers, 483 citations indexed

About

Jaekwang Kim is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Artificial Intelligence. According to data from OpenAlex, Jaekwang Kim has authored 58 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 19 papers in Information Systems and 18 papers in Artificial Intelligence. Recurrent topics in Jaekwang Kim's work include Recommender Systems and Techniques (12 papers), Web Data Mining and Analysis (7 papers) and Network Security and Intrusion Detection (4 papers). Jaekwang Kim is often cited by papers focused on Recommender Systems and Techniques (12 papers), Web Data Mining and Analysis (7 papers) and Network Security and Intrusion Detection (4 papers). Jaekwang Kim collaborates with scholars based in South Korea, United States and Pakistan. Jaekwang Kim's co-authors include Jee-Hyong Lee, Cheol-Gyun Lee, Chang‐Hwan Im, Hyun‐Kyo Jung, Jang-Ho Seo, Mohammed Alonazi, Ahmad Jalal, Saud S. Alotaibi, Naif Al Mudawi and Abdulwahab Alazeb and has published in prestigious journals such as Journal of the American Statistical Association, Analytical Chemistry and IEEE Access.

In The Last Decade

Jaekwang Kim

43 papers receiving 448 citations

Peers

Jaekwang Kim
Comparison fields: 5 of 95
  • Artificial Intelligence 162
  • Computer Vision and Pattern Recognition 116
  • Electrical and Electronic Engineering 67
  • Control and Systems Engineering 57
  • Information Systems 56
Replace Minkyu Kim with:
Minkyu Kim South Korea
Zahra Asghari Varzaneh Iran
Aveek Das United States
Ashraf Salem Egypt
Apoorva Aggarwal India
Qing Wu China
Saleh Ibrahim Egypt
Mohammad Taheri Iran
M. Arafa Egypt
Minkyu Kim South Korea View profile →
Citations per field, relative to Jaekwang Kim
Jaekwang Kim · 1×
Citations per year, relative to Jaekwang Kim
Jaekwang Kim · 1×

Countries citing papers authored by Jaekwang Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jaekwang Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaekwang Kim

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 0
3 0
4 6
5 29
6 3
7 20
8 3
9 1
10 0
11 0
12 0
13 2
14 16
15 23
16 13
17
Video Object Extraction Using Contour Information
1
18
A Group Mining Method based on Personal Interaction in Mobile Environment
3
19
Research on Extracting Relevant Snippet from Blog Pages Using Title and Issue Tags
0
20 4

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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