Ig-Jae Kim

2.2k total citations · 1 hit paper
84 papers, 1.5k citations indexed

About

Ig-Jae Kim is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Ig-Jae Kim has authored 84 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Computer Vision and Pattern Recognition, 16 papers in Artificial Intelligence and 10 papers in Aerospace Engineering. Recurrent topics in Ig-Jae Kim's work include Face recognition and analysis (15 papers), Advanced Vision and Imaging (15 papers) and Video Surveillance and Tracking Methods (14 papers). Ig-Jae Kim is often cited by papers focused on Face recognition and analysis (15 papers), Advanced Vision and Imaging (15 papers) and Video Surveillance and Tracking Methods (14 papers). Ig-Jae Kim collaborates with scholars based in South Korea, India and United States. Ig-Jae Kim's co-authors include Sang Chul Ahn, Hyoung-Gon Kim, Heeseung Choi, Chris Schmandt, Jaewoo Chung, Jaihie Kim, Jaeik Jo, Kwanghoon Sohn, Kang Ryoung Park and Junghyun Cho and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Image Processing and Expert Systems with Applications.

In The Last Decade

Ig-Jae Kim

76 papers receiving 1.4k 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.

Indoor location sensing using geo-magnetism

2011 317 citations Ig-Jae Kim et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ig-Jae Kim South Korea	18	782	383	281	260	170	84	1.5k
Dirk Haehnel United States	8	372 0.5×	427 1.1×	266 0.9×	155 0.6×	198 1.2×	12	1.1k
Shaohan Hu United States	20	562 0.7×	403 1.1×	591 2.1×	178 0.7×	432 2.5×	65	1.9k
Fabio Lavagetto Italy	25	618 0.8×	714 1.9×	245 0.9×	362 1.4×	530 3.1×	134	1.9k
Marwan Torki Egypt	17	716 0.9×	468 1.2×	749 2.7×	239 0.9×	92 0.5×	79	1.7k
Wail Gueaieb Canada	22	412 0.5×	387 1.0×	337 1.2×	78 0.3×	335 2.0×	153	2.0k
Kwee-Bo Sim South Korea	16	362 0.5×	175 0.5×	406 1.4×	172 0.7×	132 0.8×	178	1.4k
Hamid Aghajan United States	20	743 1.0×	440 1.1×	140 0.5×	99 0.4×	441 2.6×	102	1.4k
Abdenour Bouzouane Canada	21	714 0.9×	402 1.0×	305 1.1×	139 0.5×	326 1.9×	117	1.5k
Hongkai Wen United Kingdom	21	748 1.0×	816 2.1×	267 1.0×	254 1.0×	201 1.2×	67	1.8k
Hao-Hua Chu Taiwan	27	435 0.6×	625 1.6×	176 0.6×	238 0.9×	699 4.1×	81	2.0k

Countries citing papers authored by Ig-Jae Kim

Since Specialization

Citations

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

Fields of papers citing papers by Ig-Jae Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ig-Jae Kim

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

20 of 20 papers shown

1.

Choi, Yeji, et al.. (2025). HiTS: Hierarchical Text-Guided Stylization for Face Sketch-to-Photo Synthesis. IEEE Access. 13. 50885–50894.

2.

Cho, Suhwan, et al.. (2025). Effective SAM Combination for Open-Vocabulary Semantic Segmentation. 26081–26090. 1 indexed citations

3.

Kim, Ig-Jae, et al.. (2025). V-NAW: Video-Based Noise-Aware Adaptive Weighting for Facial Expression Recognition. 5643–5650.

4.

Cho, Suhwan, et al.. (2024). Dual Prototype Attention for Unsupervised Video Object Segmentation. 19238–19247. 7 indexed citations

5.

Choi, Jun Yong, et al.. (2024). Few-Shot Neural Radiance Fields under Unconstrained Illumination. Proceedings of the AAAI Conference on Artificial Intelligence. 38(4). 2938–2946.

6.

Dogra, Debi Prosad, et al.. (2023). RareAnom: A Benchmark Video Dataset for Rare Type Anomalies. Pattern Recognition. 140. 109567–109567. 15 indexed citations

7.

Dogra, Debi Prosad, et al.. (2022). Object Interaction-Based Localization and Description of Road Accident Events Using Deep Learning. IEEE Transactions on Intelligent Transportation Systems. 23(11). 20601–20613. 6 indexed citations

8.

Dogra, Debi Prosad, et al.. (2022). Detection of Road Accidents Using Synthetically Generated Multi-Perspective Accident Videos. IEEE Transactions on Intelligent Transportation Systems. 1–10. 15 indexed citations

9.

Sharma, Nitin, et al.. (2022). A multi-stream deep neural network with late fuzzy fusion for real-world anomaly detection. Expert Systems with Applications. 201. 117030–117030. 32 indexed citations

10.

Dogra, Debi Prosad, et al.. (2022). Person re-identification in indoor videos by information fusion using Graph Convolutional Networks. Expert Systems with Applications. 210. 118363–118363. 12 indexed citations

11.

Hwang, Hochul, et al.. (2021). ElderSim: A Synthetic Data Generation Platform for Human Action Recognition in Eldercare Applications. IEEE Access. 11. 9279–9294. 43 indexed citations

12.

Kang, Donghoon, et al.. (2021). A Unified Method for Robust Self-Calibration of 3-D Field Sensor Arrays. IEEE Transactions on Instrumentation and Measurement. 70. 1–11. 7 indexed citations

13.

Choi, Heeseung, et al.. (2020). POP: A Generic Framework for Real-Time Pose Estimation of Planar Objects. IEEE Access. 8. 164065–164076. 1 indexed citations

14.

Kang, Donghoon, et al.. (2020). Robust Autocalibration of Triaxial Magnetometers. IEEE Transactions on Instrumentation and Measurement. 70. 1–12. 6 indexed citations

15.

Sekh, Arif Ahmed, Debi Prosad Dogra, Samarjit Kar, et al.. (2019). Query-Based Video Synopsis for Intelligent Traffic Monitoring Applications. IEEE Transactions on Intelligent Transportation Systems. 21(8). 3457–3468. 29 indexed citations

16.

Lee, Hae‐Young, et al.. (2019). The age distribution of facial metrics in two large Korean populations. Scientific Reports. 9(1). 14564–14564. 3 indexed citations

17.

Choi, Heeseung, et al.. (2016). Smart advisor: Real-time information provider with mobile augmented reality. 97–98. 3 indexed citations

18.

Kim, Ig-Jae. (2010). Introduction to augmented reality and its applications.. 1 indexed citations

19.

Kim, Ig-Jae, et al.. (2008). Automatic ADL Classification Using 3 Axial Accelerometers and RFID Sensor. Journal of the Institute of Electronics Engineers of Korea. 45(3). 135–141. 1 indexed citations

20.

Kim, Ig-Jae, Hyun Jin Lee, & Hyoung-Gon Kim. (2004). Magic mirror. 343–348. 2 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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