Jaekyum Kim

1.7k total citations
23 papers, 745 citations indexed

About

Jaekyum Kim is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Jaekyum Kim has authored 23 papers receiving a total of 745 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 6 papers in Electrical and Electronic Engineering and 5 papers in Artificial Intelligence. Recurrent topics in Jaekyum Kim's work include Advanced Neural Network Applications (6 papers), Wireless Signal Modulation Classification (4 papers) and Conducting polymers and applications (4 papers). Jaekyum Kim is often cited by papers focused on Advanced Neural Network Applications (6 papers), Wireless Signal Modulation Classification (4 papers) and Conducting polymers and applications (4 papers). Jaekyum Kim collaborates with scholars based in South Korea, Belarus and Germany. Jaekyum Kim's co-authors include Jun Won Choi, ByeoungDo Kim, Chung Choo Chung, Chang Mook Kang, Seung Hi Lee, Dongweon Yoon, Jung Kyu Kim, Jung Lee, Chang Hyuck Choi and Uk Sim and has published in prestigious journals such as Chemical Engineering Journal, Applied Surface Science and Nano-Micro Letters.

In The Last Decade

Jaekyum Kim

21 papers receiving 724 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jaekyum Kim South Korea 12 287 246 175 164 119 23 745
Yifan Zhang China 14 108 0.4× 230 0.9× 213 1.2× 119 0.7× 56 0.5× 76 736
Shinkichi Inagaki Japan 15 361 1.3× 72 0.3× 532 3.0× 73 0.4× 110 0.9× 100 1.1k
Yongtao Yao United States 9 473 1.6× 114 0.5× 422 2.4× 108 0.7× 25 0.2× 29 832
Javier Alonso Spain 15 336 1.2× 97 0.4× 131 0.7× 128 0.8× 67 0.6× 31 700
Junlong Li China 10 104 0.4× 56 0.2× 171 1.0× 69 0.4× 59 0.5× 24 375
Muhammad Tanveer Riaz Pakistan 17 90 0.3× 48 0.2× 371 2.1× 50 0.3× 24 0.2× 69 757
Bingcai Chen China 17 77 0.3× 133 0.5× 402 2.3× 68 0.4× 24 0.2× 62 849
Pan Zhao China 16 506 1.8× 48 0.2× 116 0.7× 239 1.5× 52 0.4× 31 700
Rabindra Nath Shaw India 15 98 0.3× 76 0.3× 320 1.8× 49 0.3× 20 0.2× 66 631
Wenhao Ding China 12 245 0.9× 142 0.6× 168 1.0× 111 0.7× 27 0.2× 29 601

Countries citing papers authored by Jaekyum Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jaekyum Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaekyum Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Jaekyum Kim. A scholar is included among the top collaborators of Jaekyum 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 Jaekyum Kim. Jaekyum 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
1.
Pei, Chengang, Dong Zhang, Jaekyum Kim, et al.. (2024). Bifunctional 2D structured catalysts for air electrodes in rechargeable metal-air batteries. Energy Materials. 4(1). 9 indexed citations
2.
3.
Kim, Jaekyum, Yong Jin Jeong, Jaeyoung Jang, et al.. (2023). Well‐Balanced Ambipolar Charge Transport of Diketopyrrolepyrrole‐Based Copolymers: Organic Field‐Effect Transistors and High‐Voltage Logic Applications. Macromolecular Rapid Communications. 45(1). e2300271–e2300271. 6 indexed citations
4.
Kim, Jaekyum, et al.. (2023). MGTANet: Encoding Sequential LiDAR Points Using Long Short-Term Motion-Guided Temporal Attention for 3D Object Detection. Proceedings of the AAAI Conference on Artificial Intelligence. 37(1). 1179–1187. 16 indexed citations
5.
Surendran, Subramani, Min Cheol Kim, Yoongu Lim, et al.. (2023). Meticulous integration of N and C active sites in Ni2P electrocatalyst for sustainable ammonia oxidation and efficient hydrogen production. Chemical Engineering Journal. 463. 142314–142314. 60 indexed citations
6.
Kim, Jaekyum, et al.. (2023). Highly efficient organic light emitting diodes fabricated by solution process with new hole transport materials cross-linked at 120 °C. Chemical Engineering Journal. 471. 144540–144540. 11 indexed citations
7.
Nguyen, Duong Nguyen, Jaekyum Kim, Jaekyum Kim, et al.. (2023). Boosting hole migration through oxygen species–functionalized graphene interlayer for organic-based optoelectronic devices with enhanced efficiency and long-term durability. Applied Surface Science. 615. 156383–156383. 5 indexed citations
8.
Xia, Chengkai, Yuankai Li, Minyeong Je, et al.. (2022). Nanocrystalline Iron Pyrophosphate-Regulated Amorphous Phosphate Overlayer for Enhancing Solar Water Oxidation. Nano-Micro Letters. 14(1). 209–209. 27 indexed citations
9.
Kim, Jaekyum, et al.. (2022). Joint 3D Object Detection and Tracking Using Spatio-Temporal Representation of Camera Image and LiDAR Point Clouds. Proceedings of the AAAI Conference on Artificial Intelligence. 36(1). 1210–1218. 14 indexed citations
10.
Kim, Jaekyum, et al.. (2021). Video Object Detection Using Object's Motion Context and Spatio-Temporal Feature Aggregation. 1604–1610. 9 indexed citations
11.
Kim, Jaekyum, et al.. (2020). Video Object Detection Using Motion Context and Feature Aggregation. 269–272. 2 indexed citations
12.
13.
Kim, Jaekyum, et al.. (2018). Robust Camera Lidar Sensor Fusion Via Deep Gated Information Fusion Network. 1620–1625. 13 indexed citations
14.
Kim, Jaekyum, et al.. (2018). High Performance Automatic Modulation Recognition Technique for Fading Channels Based on Deep Learning. The Journal of Korean Institute of Information Technology. 16(1). 1–10. 1 indexed citations
15.
Lee, Jung‐Hwan, ByeoungDo Kim, Jaekyum Kim, Dongweon Yoon, & Jun Won Choi. (2017). Deep neural network-based blind modulation classification for fading channels. 551–554. 27 indexed citations
16.
Kim, ByeoungDo, Chang Mook Kang, Jaekyum Kim, et al.. (2017). Probabilistic vehicle trajectory prediction over occupancy grid map via recurrent neural network. 399–404. 254 indexed citations
17.
Kim, ByeoungDo, et al.. (2016). Deep neural network-based automatic modulation classification technique. 579–582. 88 indexed citations
18.
Kim, Jaekyum, et al.. (2015). LQ-Servo Design with Reduced Order Observer for Two-wheeled Self-balancing Robot based on HIL Simulation. International Journal of Control and Automation. 8(12). 13–26.
19.
Kim, Jaekyum, et al.. (2015). Two-Wheeled Self-Balancing Robot Based On LQ-Servo with Reduced Order Observer. 6–9. 1 indexed citations
20.
Kim, Jaekyum, et al.. (2008). BER Analysis of Dual-Hop Amplify-and-Forward MIMO Relaying with Best Antenna Selection in Rayleigh Fading Channels. IEICE Transactions on Communications. E91-B(8). 2772–2775. 29 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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