Junkyu Lee

1.2k total citations
75 papers, 660 citations indexed

About

Junkyu Lee is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Electrical and Electronic Engineering. According to data from OpenAlex, Junkyu Lee has authored 75 papers receiving a total of 660 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 17 papers in Computational Theory and Mathematics and 14 papers in Electrical and Electronic Engineering. Recurrent topics in Junkyu Lee's work include EFL/ESL Teaching and Learning (9 papers), Numerical Methods and Algorithms (9 papers) and AI-based Problem Solving and Planning (8 papers). Junkyu Lee is often cited by papers focused on EFL/ESL Teaching and Learning (9 papers), Numerical Methods and Algorithms (9 papers) and AI-based Problem Solving and Planning (8 papers). Junkyu Lee collaborates with scholars based in United States, South Korea and United Kingdom. Junkyu Lee's co-authors include Luke Plonsky, Juhyun Jang, Amy S. Thompson, Hans Vandierendonck, Gregory D. Peterson, Susan M. Gass, Rina Dechter, Radu Marinescu, Robert J. Hinde and Robert J. Harrison and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Signal Processing.

In The Last Decade

Junkyu Lee

57 papers receiving 601 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junkyu Lee United States 10 310 207 155 154 128 75 660
Hongying Zheng China 14 121 0.4× 134 0.6× 80 0.5× 85 0.6× 51 0.4× 41 646
Xiangying Jiang United States 13 351 1.1× 51 0.2× 515 3.3× 292 1.9× 32 0.3× 35 966
Charles Reiss United States 16 592 1.9× 612 3.0× 189 1.2× 444 2.9× 394 3.1× 44 1.9k
Klaus Zechner United States 22 106 0.3× 182 0.9× 166 1.1× 1.3k 8.5× 10 0.1× 81 1.6k
Khalid Choukri France 16 114 0.4× 148 0.7× 46 0.3× 1.1k 7.1× 48 0.4× 82 1.3k
Harold Somers United Kingdom 14 284 0.9× 51 0.2× 80 0.5× 968 6.3× 18 0.1× 65 1.2k
Deryle Lonsdale United States 15 103 0.3× 73 0.4× 93 0.6× 540 3.5× 24 0.2× 56 812
Daniel Hardt Denmark 13 322 1.0× 98 0.5× 39 0.3× 408 2.6× 30 0.2× 55 668
Joseph P. Levy United Kingdom 10 37 0.1× 121 0.6× 226 1.5× 568 3.7× 13 0.1× 19 1.0k
Laure Vieu France 12 180 0.6× 106 0.5× 18 0.1× 417 2.7× 29 0.2× 38 702

Countries citing papers authored by Junkyu Lee

Since Specialization
Citations

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

Fields of papers citing papers by Junkyu Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junkyu Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Junkyu Lee. A scholar is included among the top collaborators of Junkyu Lee 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 Junkyu Lee. Junkyu Lee 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.
Lee, Junkyu, et al.. (2025). Vortex Feature Positioning: Bridging tabular IIoT data and image-based deep learning. Internet of Things. 31. 101533–101533.
2.
Lee, Junkyu, et al.. (2024). A machine learning framework for extracting information from biological pathway images in the literature. Metabolic Engineering. 86. 1–11. 1 indexed citations
3.
Cozman, Fábio Gagliardi, Radu Marinescu, Junkyu Lee, et al.. (2024). Markov conditions and factorization in logical credal networks. International Journal of Approximate Reasoning. 172. 109237–109237.
4.
Lee, Junkyu, et al.. (2024). Partially Observable Hierarchical Reinforcement Learning with AI Planning (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence. 38(21). 23635–23636.
5.
Srinivas, Kavitha, et al.. (2024). Large Language Models as Planning Domain Generators (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence. 38(21). 23604–23605.
6.
Lee, Junkyu, et al.. (2024). The Effects of Weight Quantization on Online Federated Learning for the IoT: A Case Study. IEEE Access. 12. 5490–5502. 7 indexed citations
7.
Katz, Michael, et al.. (2024). Some Orders Are Important: Partially Preserving Orders in Top-Quality Planning. Proceedings of the International Symposium on Combinatorial Search. 17. 213–217. 2 indexed citations
8.
9.
Lee, Junkyu, Amir Sabbagh Molahosseini, Hua Yang, et al.. (2023). Resource-Efficient Convolutional Networks: A Survey on Model-, Arithmetic-, and Implementation-Level Techniques. ACM Computing Surveys. 55(13s). 1–36. 21 indexed citations
10.
Katz, Michael & Junkyu Lee. (2023). K∗ Search over Orbit Space for Top-k Planning. 5368–5376. 2 indexed citations
11.
Lee, Junkyu, et al.. (2023). Action Space Reduction for Planning Domains. 5394–5401.
12.
Lee, Junkyu, Blesson Varghese, & Hans Vandierendonck. (2023). ROMA: Run-Time Object Detection To Maximize Real-Time Accuracy. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 3 indexed citations
13.
Kim, Byung Chul, et al.. (2022). A 11.4-Gbps/lane MIPI 32-bit C-PHY and D-PHY combo transmitter with 3-tap FFE. 1–3. 2 indexed citations
14.
Kim, Kijin, et al.. (2021). Benefits and Spillover Effects of Infrastructure: A Spatial Econometric Approach. SHILAP Revista de lepidopterología. 25(1). 3–31. 3 indexed citations
15.
Lee, Junkyu, Alexander Ihler, & Rina Dechter. (2018). Join Graph Decomposition Bounds for Influence Diagrams. Uncertainty in Artificial Intelligence. 1053–1062. 2 indexed citations
16.
Lee, Junkyu, Alexander Ihler, & Rina Dechter. (2018). Generalized Dual Decomposition for Bounding Maximum Expected Utility of Influence Diagrams with Perfect Recall.. National Conference on Artificial Intelligence. 674–681.
17.
Lee, Junkyu, Radu Marinescu, & Rina Dechter. (2016). Applying Search Based Probabilistic Inference Algorithms to Probabilistic Conformant Planning: Preliminary Results.. 3 indexed citations
18.
Lee, Junkyu. (2014). Working Memory Capacity and Second Language Acquisition. 231–235.
19.
Lee, Junkyu, et al.. (2013). Using Contextual Information In Learners' Spoken Language Communication: An Eye-Tracking Study. GEMA Online Journal of Language Studies. 13(2). 2 indexed citations
20.
Lee, Junkyu, et al.. (2013). Decomposition or Not in Korean Inflectional Morphology. 50. 247–268. 1 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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