Donghyeon Kim

765 total citations · 1 hit paper
15 papers, 490 citations indexed

About

Donghyeon Kim is a scholar working on Control and Systems Engineering, Mechanical Engineering and Biomedical Engineering. According to data from OpenAlex, Donghyeon Kim has authored 15 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Control and Systems Engineering, 4 papers in Mechanical Engineering and 4 papers in Biomedical Engineering. Recurrent topics in Donghyeon Kim's work include Robot Manipulation and Learning (4 papers), Robotic Locomotion and Control (3 papers) and Lung Cancer Treatments and Mutations (3 papers). Donghyeon Kim is often cited by papers focused on Robot Manipulation and Learning (4 papers), Robotic Locomotion and Control (3 papers) and Lung Cancer Treatments and Mutations (3 papers). Donghyeon Kim collaborates with scholars based in South Korea, United States and Italy. Donghyeon Kim's co-authors include S.‐H.I. Ou, Keith D. Wilner, A. John Iafrate, Geoffrey I. Shapiro, Stewart C. Wang, Yung‐Jue Bang, Benjamin Solomon, Jeffrey W. Clark, Tiziana Usari and A. Shaw and has published in prestigious journals such as Annals of Oncology, IEEE Transactions on Robotics and IEEE Robotics and Automation Letters.

In The Last Decade

Donghyeon Kim

13 papers receiving 479 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.

Crizotinib in ROS1-rearranged advanced non-small-cell lung cancer (NSCLC): updated results, including overall survival, from PROFILE 1001

2019 365 citations A. Shaw, Yung‐Jue Bang et al. Annals of Oncology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Donghyeon Kim South Korea	6	333	238	168	121	44	15	490
L. Rinaldi Italy	10	119 0.4×	197 0.8×	60 0.4×	97 0.8×	12 0.3×	29	446
Mei Jin China	11	213 0.6×	85 0.4×	119 0.7×	66 0.5×	15 0.3×	30	411
Anpeng Wang China	13	122 0.4×	66 0.3×	159 0.9×	91 0.8×	16 0.4×	25	380
Deming He China	12	86 0.3×	169 0.7×	119 0.7×	59 0.5×	26 0.6×	23	446
Jinjing Wang China	10	62 0.2×	181 0.8×	176 1.0×	87 0.7×	15 0.3×	43	454
Zhiyuan Jiang China	13	95 0.3×	142 0.6×	241 1.4×	129 1.1×	10 0.2×	40	499
Yaru Tian China	14	161 0.5×	241 1.0×	218 1.3×	118 1.0×	10 0.2×	42	524
Yongxiang Song China	14	191 0.6×	76 0.3×	183 1.1×	117 1.0×	12 0.3×	35	471
Kunpeng Du China	13	78 0.2×	125 0.5×	182 1.1×	101 0.8×	10 0.2×	37	356

Countries citing papers authored by Donghyeon Kim

Since Specialization

Citations

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

Fields of papers citing papers by Donghyeon Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donghyeon Kim

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

All Works

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15 of 15 papers shown

Kim, Donghyeon, et al.. (2024). Bridging the Reality Gap: Analyzing Sim-to-Real Transfer Techniques for Reinforcement Learning in Humanoid Bipedal Locomotion. IEEE Robotics & Automation Magazine. 32(1). 49–58. 2 indexed citations

Kim, Donghyeon, et al.. (2024). Intuitive and Interactive Robotic Avatar System for Tele-Existence: TEAM SNU in the ANA Avatar XPRIZE Finals. International Journal of Social Robotics. 17(3). 379–407. 4 indexed citations

Kim, Donghyeon, et al.. (2024). Is a Simulation better than Teleoperation for Acquiring Human Manipulation Skill Data?. 5182–5188.

Kim, Donghyeon, et al.. (2023). Listening to CAN: Anomaly Detection to Enhance In-Vehicle Network Security. 172–175. 1 indexed citations

Kim, Donghyeon, et al.. (2023). Geographic Disparity in Distance to Trauma Care in Secondary Schools Across the United States. Journal of Athletic Training. 59(5). 458–464.

Kim, Donghyeon, et al.. (2023). Proprioceptive External Torque Learning for Floating Base Robot and its Applications to Humanoid Locomotion. 8510–8517. 3 indexed citations

Kim, Donghyeon, Glen Berseth, Mathew Schwartz, & Jaeheung Park. (2023). Torque-Based Deep Reinforcement Learning for Task-and-Robot Agnostic Learning on Bipedal Robots Using Sim-to-Real Transfer. IEEE Robotics and Automation Letters. 8(10). 6251–6258. 12 indexed citations

Kim, Donghyeon, et al.. (2022). Variable Stiffness Control via External Torque Estimation Using LSTM. 2022 International Conference on Robotics and Automation (ICRA). 8325–8330. 2 indexed citations

Kim, Donghyeon, et al.. (2022). Online Telemanipulation Framework on Humanoid for both Manipulation and Imitation. 8–15. 6 indexed citations

10.

Kim, Donghyeon, et al.. (2021). Momentum Observer-Based Collision Detection Using LSTM for Model Uncertainty Learning. 4516–4522. 16 indexed citations

11.

Kim, Donghyeon, et al.. (2021). Transferable Collision Detection Learning for Collaborative Manipulator Using Versatile Modularized Neural Network. IEEE Transactions on Robotics. 38(4). 2426–2445. 20 indexed citations

12.

Shaw, A., Yung‐Jue Bang, Donghyeon Kim, et al.. (2019). Crizotinib in ROS1-rearranged advanced non-small-cell lung cancer (NSCLC): updated results, including overall survival, from PROFILE 1001. Annals of Oncology. 30(7). 1121–1126. 365 indexed citations breakdown →

13.

Shaw, Alice T., Gregory J. Riely, Yung‐Jue Bang, et al.. (2019). Crizotinib in advanced ROS1-rearranged non-small cell lung cancer (NSCLC): Overall survival (OS) and updated safety from PROFILE 1001. Annals of Oncology. 30. ii48–ii49. 4 indexed citations

14.

Kim, Donghyeon, et al.. (2016). Experimental Interior Stress Fields of a Constantly Squeezed O-Ring Modeling from Hybrid Transmission Photoelasticity. Experimental Techniques. 40(1). 59–72. 3 indexed citations

15.

Koh, Youngil, Yoon Kyung Jeon, Tack‐Kyun Kwon, et al.. (2009). Class III β-tubulin, but not ERCC1, is a strong predictive and prognostic marker in locally advanced head and neck squamous cell carcinoma. Annals of Oncology. 20(8). 1414–1419. 52 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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