Yourim Yoon

1.3k total citations · 1 hit paper
70 papers, 934 citations indexed

About

Yourim Yoon is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Electrical and Electronic Engineering. According to data from OpenAlex, Yourim Yoon has authored 70 papers receiving a total of 934 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 16 papers in Computational Theory and Mathematics and 16 papers in Electrical and Electronic Engineering. Recurrent topics in Yourim Yoon's work include Metaheuristic Optimization Algorithms Research (16 papers), Advanced Multi-Objective Optimization Algorithms (13 papers) and VLSI and FPGA Design Techniques (8 papers). Yourim Yoon is often cited by papers focused on Metaheuristic Optimization Algorithms Research (16 papers), Advanced Multi-Objective Optimization Algorithms (13 papers) and VLSI and FPGA Design Techniques (8 papers). Yourim Yoon collaborates with scholars based in South Korea, United Kingdom and United States. Yourim Yoon's co-authors include Yong-Hyuk Kim, Zong Woo Geem, Byung-Ro Moon, Alberto Moraglio, Hack Sung Jung, Kyung Mo Kim, Nayoung Kim, Seung‐Hyun Moon, Kang Hoon Lee and Hye-Jin Park and has published in prestigious journals such as European Journal of Operational Research, Renewable Energy and Information Sciences.

In The Last Decade

Yourim Yoon

62 papers receiving 897 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.

An Efficient Genetic Algorithm for Maximum Coverage Deployment in Wireless Sensor Networks

2013 261 citations Yourim Yoon, Yong-Hyuk Kim profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yourim Yoon South Korea	14	337	299	253	139	112	70	934
Ali Asghar Pourhaji Kazem Iran	9	174 0.5×	297 1.0×	338 1.3×	131 0.9×	106 0.9×	22	905
Siba K. Udgata India	17	430 1.3×	524 1.8×	289 1.1×	89 0.6×	88 0.8×	102	1.2k
Saeid Barshandeh Iran	11	148 0.4×	185 0.6×	438 1.7×	154 1.1×	93 0.8×	13	804
D. Binu India	12	348 1.0×	171 0.6×	411 1.6×	64 0.5×	123 1.1×	33	1.1k
Jiangjiang Zhang China	11	129 0.4×	253 0.8×	385 1.5×	183 1.3×	103 0.9×	30	1.0k
Vahid Khatibi Bardsiri Iran	12	185 0.5×	204 0.7×	666 2.6×	308 2.2×	136 1.2×	33	1.3k
Rajeev Arya India	14	407 1.2×	254 0.8×	107 0.4×	172 1.2×	52 0.5×	117	895
Miren Nekane Bilbao Spain	12	153 0.5×	105 0.4×	365 1.4×	105 0.8×	106 0.9×	35	774
Peifeng Niu China	20	316 0.9×	246 0.8×	733 2.9×	180 1.3×	345 3.1×	58	1.4k

Countries citing papers authored by Yourim Yoon

Since Specialization

Citations

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

Fields of papers citing papers by Yourim Yoon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yourim Yoon

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

All Works

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20 of 20 papers shown

1.

Yoon, Yourim, et al.. (2025). Sparse Transformer for Long-term Forecasting via Genetic Algorithm. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 295–298.

2.

Moon, Seung‐Hyun & Yourim Yoon. (2025). An adaptive greedy repair operator in a genetic algorithm for the minimum vertex cover problem. AIMS Mathematics. 10(6). 13365–13392.

3.

Yoon, Yourim, et al.. (2025). Pruning for efficient DenseNet via surrogate-model-assisted genetic algorithm considering neural architecture search proxies. Swarm and Evolutionary Computation. 97. 101983–101983.

4.

Kim, Yong-Hyuk, Zong Woo Geem, & Yourim Yoon. (2025). Population-Based Redundancy Control in Genetic Algorithms: Enhancing Max-Cut Optimization. Mathematics. 13(9). 1409–1409.

5.

Yoon, Yourim, et al.. (2024). Metaheuristic-Based Feature Selection Methods for Diagnosing Sarcopenia with Machine Learning Algorithms. Biomimetics. 9(3). 179–179. 10 indexed citations

6.

Kim, Yong-Hyuk, et al.. (2024). Evolutionary Approach to Optimal Oil Skimmer Assignment for Oil Spill Response: A Case Study. Biomimetics. 9(6). 330–330. 1 indexed citations

7.

Lee, Dongwon, et al.. (2024). Improving modularity score of community detection using memetic algorithms. AIMS Mathematics. 9(8). 20516–20538.

8.

Yoon, Yourim, et al.. (2024). Performance Analysis and Improvement of Machine Learning with Various Feature Selection Methods for EEG-Based Emotion Classification. Applied Sciences. 14(22). 10511–10511. 8 indexed citations

9.

Yoon, Yourim, et al.. (2023). Identification of TRPC6 as a Novel Diagnostic Biomarker of PM-Induced Chronic Obstructive Pulmonary Disease Using Machine Learning Models. Genes. 14(2). 284–284. 4 indexed citations

10.

Park, Hye-Jin, et al.. (2023). RNA Sequences-Based Diagnosis of Parkinson’s Disease Using Various Feature Selection Methods and Machine Learning. Applied Sciences. 13(4). 2698–2698. 3 indexed citations

11.

Kim, Yong-Hyuk, et al.. (2022). A Memetic Algorithm with a Novel Repair Heuristic for the Multiple-Choice Multidimensional Knapsack Problem. Mathematics. 10(4). 602–602. 6 indexed citations

12.

Kim, Jinhyun, et al.. (2019). Investigation of incremental hybrid genetic algorithm with subgraph isomorphism problem. Swarm and Evolutionary Computation. 49. 75–86. 9 indexed citations

13.

Moon, Seung‐Hyun, et al.. (2018). Detecting Anomalies in Meteorological Data Using Support Vector Regression. Advances in Meteorology. 2018. 1–14. 8 indexed citations

14.

Kim, Nayoung, et al.. (2015). Correcting Air-Pressure Data Collected by MEMS Sensors in Smartphones. Journal of Sensors. 2015. 1–10. 13 indexed citations

15.

Kim, Yong-Hyuk & Yourim Yoon. (2015). A genetic filter for cancer classification on gene expression data. Bio-Medical Materials and Engineering. 26(1_suppl). S1993–2002. 10 indexed citations

16.

Yoon, Yourim & Yong-Hyuk Kim. (2015). Effective scheduling of residential energy storage systems under dynamic pricing. Renewable Energy. 87. 936–945. 24 indexed citations

17.

Yoon, Yourim & Yong-Hyuk Kim. (2013). New Bucket Managements in Iterative Improvement Partitioning Algorithms. Applied Mathematics & Information Sciences. 7(2). 529–532. 3 indexed citations

18.

Yoon, Yourim, Yong-Hyuk Kim, Alberto Moraglio, & Byung-Ro Moon. (2011). Quotient geometric crossovers and redundant encodings. Theoretical Computer Science. 425. 4–16. 14 indexed citations

19.

Kim, Yong-Hyuk & Yourim Yoon. (2009). A New Kernighan-Lin-Type Local Search for the Quadratic Assignment Problem.. 56(3). 185–189. 1 indexed citations

20.

Kim, Yong-Hyuk, Kang Hoon Lee, & Yourim Yoon. (2009). Visualizing the search process of particle swarm optimization. 49–56. 11 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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