Ye-Hoon Kim

713 total citations
19 papers, 508 citations indexed

About

Ye-Hoon Kim is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Ye-Hoon Kim has authored 19 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 7 papers in Computational Theory and Mathematics. Recurrent topics in Ye-Hoon Kim's work include Metaheuristic Optimization Algorithms Research (8 papers), Advanced Multi-Objective Optimization Algorithms (7 papers) and Robotic Path Planning Algorithms (6 papers). Ye-Hoon Kim is often cited by papers focused on Metaheuristic Optimization Algorithms Research (8 papers), Advanced Multi-Objective Optimization Algorithms (7 papers) and Robotic Path Planning Algorithms (6 papers). Ye-Hoon Kim collaborates with scholars based in South Korea and India. Ye-Hoon Kim's co-authors include Jong-Hwan Kim, Bhargava Reddy, Chan-Won Seo, Seung-Hwan Choi, Kuk-Hyun Han, Ji-Hyeong Han, Inwon Park, Eun‐Soo Kim, Kee‐Kahb Koo and Young-Dae Hong and has published in prestigious journals such as Industrial & Engineering Chemistry Research, IEEE Transactions on Evolutionary Computation and Powder Technology.

In The Last Decade

Ye-Hoon Kim

18 papers receiving 487 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ye-Hoon Kim South Korea 10 161 130 127 104 80 19 508
Yong-Guk Kim South Korea 13 165 1.0× 208 1.6× 94 0.7× 7 0.1× 46 0.6× 59 602
Wanting Ji China 15 211 1.3× 358 2.8× 41 0.3× 34 0.3× 35 0.4× 37 632
Young-Tack Park South Korea 8 210 1.3× 249 1.9× 92 0.7× 21 0.2× 17 0.2× 48 503
Xinhan Wang China 12 191 1.2× 189 1.5× 20 0.2× 23 0.2× 29 0.4× 23 662
Jose M. Lanza-Gutiérrez Spain 12 108 0.7× 46 0.4× 41 0.3× 50 0.5× 21 0.3× 41 551
Christian Eitzinger Austria 17 246 1.5× 118 0.9× 17 0.1× 11 0.1× 107 1.3× 50 689
Qipeng Chen China 10 109 0.7× 170 1.3× 10 0.1× 18 0.2× 97 1.2× 39 573
Shivashankar B. Nair India 9 125 0.8× 38 0.3× 16 0.1× 63 0.6× 141 1.8× 49 398
Anas Fattouh Sweden 13 263 1.6× 48 0.4× 33 0.3× 168 1.6× 47 0.6× 37 694
Long Ye China 11 112 0.7× 130 1.0× 38 0.3× 6 0.1× 36 0.5× 107 439

Countries citing papers authored by Ye-Hoon Kim

Since Specialization
Citations

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

Fields of papers citing papers by Ye-Hoon Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ye-Hoon Kim

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

All Works

19 of 19 papers shown
1.
Kim, Ye-Hoon, et al.. (2018). End-to-end deep learning for autonomous navigation of mobile robot. 1–6. 29 indexed citations
2.
3.
Kim, Jong-Hwan, Ji-Hyeong Han, Ye-Hoon Kim, Seung-Hwan Choi, & Eun‐Soo Kim. (2011). Preference-Based Solution Selection Algorithm for Evolutionary Multiobjective Optimization. IEEE Transactions on Evolutionary Computation. 16(1). 20–34. 83 indexed citations
4.
Park, Inwon, Bum‐Joo Lee, Ye-Hoon Kim, Ji-Hyeong Han, & Jong-Hwan Kim. (2010). Multi-objective quantum-inspired evolutionary algorithm-based optimal control of two-link inverted pendulum. 6. 1–7. 5 indexed citations
5.
Hong, Young-Dae, et al.. (2010). Evolutionary Multiobjective Footstep Planning for Humanoid Robots. IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews). 41(4). 520–532. 19 indexed citations
6.
Ahn, Chang Wook & Ye-Hoon Kim. (2010). Improving Proximity and Diversity in Multiobjective Evolutionary Algorithms. IEICE Transactions on Information and Systems. E93-D(10). 2879–2882. 2 indexed citations
7.
Kim, Ye-Hoon & Jong-Hwan Kim. (2009). Multiobjective quantum-inspired evolutionary algorithm for fuzzy path planning of mobile robot. 1185–1192. 25 indexed citations
8.
Hong, Young-Dae, Ye-Hoon Kim, & Jong-Hwan Kim. (2009). Evolutionary optimized footstep planning for humanoid robot. 31. 266–271. 1 indexed citations
9.
Ahn, Chang Wook, et al.. (2009). A hybrid evolutionary algorithm for multiobjective optimization. 3004. 1–5.
10.
Kim, Jong-Hwan, Ye-Hoon Kim, Seung-Hwan Choi, & Inwon Park. (2009). Evolutionary multi-objective optimization in robot soccer system for education. IEEE Computational Intelligence Magazine. 4(1). 31–41. 48 indexed citations
11.
Kim, Jong-Hwan, et al.. (2008). Two-Layered Confabulation Architecture for an Artificial Creature's Behavior Selection. IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews). 38(6). 834–840. 11 indexed citations
12.
Lee, Chi‐Ho, Ye-Hoon Kim, & Jong-Hwan Kim. (2008). Multiobjective evolutionary algorithm reinforcing specific objective. 1993. 2889–2893. 1 indexed citations
13.
Cho, Se‐Hyung, Ye-Hoon Kim, Inwon Park, & Jong-Hwan Kim. (2007). Behavior Selection and Memory-based Learning for Artificial Creature Using Two-layered Confabulation. 992–997. 3 indexed citations
14.
Kim, Ye-Hoon, et al.. (2007). Software Robot in a PDA for Human Interaction and Seamless Service. 144. 968–973. 3 indexed citations
15.
Kim, Ye-Hoon, et al.. (2007). Drowning-out crystallization of l-proline: Effect of anti-solvent composition and processing parameters on crystal size and shape. Powder Technology. 186(2). 137–144. 12 indexed citations
16.
Kim, Ye-Hoon, et al.. (2006). Agglomeration behavior of anhydrous L-ornithine-L-aspatate crystals during semi-batch drowning-out crystallization. Korean Journal of Chemical Engineering. 23(5). 819–826. 3 indexed citations
17.
Kim, Ye-Hoon, Jong-Hwan Kim, & Kuk-Hyun Han. (2006). Quantum-inspired Multiobjective Evolutionary Algorithm for Multiobjective 0/1 Knapsack Problems. 5. 2601–2606. 68 indexed citations
18.
Kim, Ye-Hoon, et al.. (2005). The effect of initial precipitates on the induction period of l-ornithine-l-aspartate during semi-batch drowning out crystallization. Journal of Crystal Growth. 289(1). 236–244. 8 indexed citations
19.
Kim, Ye-Hoon, et al.. (2003). Pseudopolymorphic Crystallization of l-Ornithine-l-Aspartate by Drowning Out. Industrial & Engineering Chemistry Research. 42(4). 883–889. 15 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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