Heung Soo Kim

11.1k total citations · 1 hit paper
361 papers, 8.6k citations indexed

About

Heung Soo Kim is a scholar working on Mechanics of Materials, Civil and Structural Engineering and Mechanical Engineering. According to data from OpenAlex, Heung Soo Kim has authored 361 papers receiving a total of 8.6k indexed citations (citations by other indexed papers that have themselves been cited), including 127 papers in Mechanics of Materials, 105 papers in Civil and Structural Engineering and 81 papers in Mechanical Engineering. Recurrent topics in Heung Soo Kim's work include Composite Structure Analysis and Optimization (59 papers), Structural Health Monitoring Techniques (52 papers) and Supercapacitor Materials and Fabrication (50 papers). Heung Soo Kim is often cited by papers focused on Composite Structure Analysis and Optimization (59 papers), Structural Health Monitoring Techniques (52 papers) and Supercapacitor Materials and Fabrication (50 papers). Heung Soo Kim collaborates with scholars based in South Korea, United States and India. Heung Soo Kim's co-authors include Jaehwan Kim, Sivalingam Ramesh, Asif Khan, Joo‐Hyung Kim, Hyun‐Seok Kim, Izaz Raouf, Salman Khalid, Zafar Abas, Aditi Chattopadhyay and Hemraj M. Yadav and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Proceedings of the IEEE.

In The Last Decade

Heung Soo Kim

336 papers receiving 8.3k citations

Hit Papers

align trajectories sort by overperformance

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.

A review of piezoelectric energy harvesting based on vibration

2011 884 citations Heung Soo Kim et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Heung Soo Kim	2.5k	2.5k	2.1k	1.9k	1.9k	361	8.6k
Rui Li	3.0k 1.2×	2.3k 0.9×	4.1k 2.0×	2.0k 1.0×	1.3k 0.7×	485	10.3k
Chang Chen	1.4k 0.6×	3.9k 1.6×	2.4k 1.1×	2.3k 1.2×	1.3k 0.7×	477	10.4k
Chao Zhang	2.0k 0.8×	3.0k 1.2×	813 0.4×	3.3k 1.7×	1.7k 0.9×	470	8.8k
Jun Liang	8.0k 3.2×	3.2k 1.3×	1.2k 0.6×	2.4k 1.3×	1.4k 0.7×	758	17.3k
Xiaoyu Zheng	2.6k 1.1×	3.5k 1.4×	4.1k 1.9×	703 0.4×	765 0.4×	199	11.5k
Chunwei Zhang	1.7k 0.7×	2.0k 0.8×	1.3k 0.6×	1.5k 0.7×	3.8k 2.0×	474	10.3k
Yijun Liu	2.2k 0.9×	1.2k 0.5×	1.9k 0.9×	3.3k 1.7×	657 0.3×	273	7.5k
Tielin Shi	2.6k 1.1×	1.6k 0.6×	1.2k 0.6×	1.2k 0.6×	1.1k 0.6×	318	6.7k
Chun‐Gon Kim	2.0k 0.8×	1.8k 0.7×	803 0.4×	2.9k 1.5×	1.9k 1.0×	334	8.3k
Tao Wang	1.1k 0.4×	6.0k 2.4×	1.3k 0.6×	2.0k 1.0×	1.1k 0.6×	821	10.2k

Countries citing papers authored by Heung Soo Kim

Since Specialization

Citations

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

Fields of papers citing papers by Heung Soo Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heung Soo Kim

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Azad, Muhammad Muzammil, Atta ur Rehman Shah, M. Prabhakar, & Heung Soo Kim. (2025). Deep learning-based autonomous morphological fracture analysis of fiber-reinforced composites. Engineering Failure Analysis. 170. 109292–109292. 6 indexed citations

Azad, Muhammad Muzammil, et al.. (2025). A Hybrid Deep Transfer Learning Framework for Delamination Identification in Composite Laminates. Sensors. 25(3). 826–826.

Azad, Muhammad Muzammil, et al.. (2025). An integrated multi-task transfer learning for damage detection, localization, and severity assessment of laminated composite plate. Composite Structures. 371. 119478–119478.

Jung, Jae Hyun, et al.. (2024). Estimation of Strain for Large Deformation in SMA-textile Actuator Using Nonlinear Geometry Analysis. Journal of the Computational Structural Engineering Institute of Korea. 37(4). 259–265. 1 indexed citations

Kumar, Prashant, Izaz Raouf, & Heung Soo Kim. (2024). Transfer learning for servomotor bearing fault detection in the industrial robot. Advances in Engineering Software. 194. 103672–103672. 18 indexed citations

Indumathi, T., Sivalingam Ramesh, Yuvaraj Haldorai, et al.. (2024). Nanostructured ZnCo2S4@metal organic frameworks composite for supercapacitor by ultrasonication supported hydrothermal reaction. Inorganic Chemistry Communications. 170. 113213–113213. 9 indexed citations

Kumar, Prashant, Izaz Raouf, Jinwoo Song, P Kumar, & Heung Soo Kim. (2024). Multi-size wide kernel convolutional neural network for bearing fault diagnosis. Advances in Engineering Software. 198. 103799–103799. 17 indexed citations

Ramesh, Sivalingam, Iqra Rabani, A. Sivasamy, et al.. (2024). Fabrication of nickel-copper sulfide nanoparticles decorated on metal-organic framework composite for supercapacitor application by hydrothermal process. Journal of Alloys and Compounds. 977. 173375–173375. 35 indexed citations

Azad, Muhammad Muzammil & Heung Soo Kim. (2024). Noise robust damage detection of laminated composites using multichannel wavelet-enhanced deep learning model. Engineering Structures. 322. 119192–119192. 8 indexed citations

10.

Indumathi, T., Sivalingam Ramesh, Raju Suresh Kumar, et al.. (2024). Calcination process of porous metal–organic frameworks derived from nickel sulfide composites for supercapacitor and computer vision for investigating the porosity-electrochemical correlation. Journal of Electroanalytical Chemistry. 969. 118537–118537. 7 indexed citations

11.

Azad, Muhammad Muzammil, et al.. (2024). Autonomous data-driven delamination detection in laminated composites with limited and imbalanced data. Alexandria Engineering Journal. 107. 770–785. 10 indexed citations

12.

Msolli, Sabeur, et al.. (2024). Exploring joining techniques for diamond chips on metallized substrates: Micro- and nano-scale mechanical testing approach. SHILAP Revista de lepidopterología. 7. 100349–100349. 2 indexed citations

13.

Khalid, Salman, Muhammad Muzammil Azad, & Heung Soo Kim. (2024). Real-World Steam Powerplant Boiler Tube Leakage Detection Using Hybrid Deep Learning. Mathematics. 12(24). 3887–3887.

14.

Azad, Muhammad Muzammil, et al.. (2024). Intelligent Computational Methods for Damage Detection of Laminated Composite Structures for Mobility Applications: A Comprehensive Review. Archives of Computational Methods in Engineering. 32(1). 441–469. 42 indexed citations

15.

Ramesh, Sivalingam, Abu Talha Aqueel Ahmed, Yuvaraj Haldorai, et al.. (2023). Cobalt sulfide@cobalt-metal organic frame works materials for energy storage and electrochemical glucose detection sensor application. Journal of Alloys and Compounds. 967. 171760–171760. 40 indexed citations

16.

Raouf, Izaz, et al.. (2023). Transfer Learning-Based Intelligent Fault Detection Approach for the Industrial Robotic System. Mathematics. 11(4). 945–945. 22 indexed citations

17.

Kumar, Prashant, Izaz Raouf, & Heung Soo Kim. (2023). Review on prognostics and health management in smart factory: From conventional to deep learning perspectives. Engineering Applications of Artificial Intelligence. 126. 107126–107126. 17 indexed citations

18.

Kim, Heung Soo, et al.. (2023). Rapid Estimation of Contact Stresses in Imageless Total Knee Arthroplasty. Mathematics. 11(16). 3527–3527. 3 indexed citations

19.

Khalid, Salman, Jinwoo Song, Muhammad Muzammil Azad, et al.. (2023). A Comprehensive Review of Emerging Trends in Aircraft Structural Prognostics and Health Management. Mathematics. 11(18). 3837–3837. 19 indexed citations

20.

Kathalingam, A., Sivalingam Ramesh, Hemraj M. Yadav, et al.. (2020). Nanosheet-like ZnCo2O4@nitrogen doped graphene oxide/polyaniline composite for supercapacitor application: Effect of polyaniline incorporation. Journal of Alloys and Compounds. 830. 154734–154734. 80 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.

Explore authors with similar magnitude of impact