Heesu Hwang

542 total citations
19 papers, 397 citations indexed

About

Heesu Hwang is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Heesu Hwang has authored 19 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Electrical and Electronic Engineering, 7 papers in Materials Chemistry and 6 papers in Biomedical Engineering. Recurrent topics in Heesu Hwang's work include Machine Learning in Materials Science (4 papers), Gas Sensing Nanomaterials and Sensors (4 papers) and Advanced Chemical Sensor Technologies (4 papers). Heesu Hwang is often cited by papers focused on Machine Learning in Materials Science (4 papers), Gas Sensing Nanomaterials and Sensors (4 papers) and Advanced Chemical Sensor Technologies (4 papers). Heesu Hwang collaborates with scholars based in South Korea and United States. Heesu Hwang's co-authors include Jin‐Ha Hwang, Eung‐Sam Kim, Jeong‐Tae Koh, Ju Han Song, Mi Nam Lee, Amir Roshanzadeh, Sin‐Hye Oh, Jung-Woo Kim, Young Yoon and Jay Michael Rosenberger and has published in prestigious journals such as Journal of Power Sources, Journal of Hazardous Materials and Journal of Materials Chemistry A.

In The Last Decade

Heesu Hwang

17 papers receiving 386 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Heesu Hwang South Korea 10 157 106 80 41 35 19 397
Sumin Park South Korea 17 584 3.7× 121 1.1× 172 2.1× 27 0.7× 50 1.4× 54 921
Yuanjun Li China 16 82 0.5× 213 2.0× 141 1.8× 33 0.8× 95 2.7× 56 691
Anja Schmidt Germany 12 48 0.3× 67 0.6× 37 0.5× 26 0.6× 54 1.5× 33 473
Yu Dang China 10 199 1.3× 92 0.9× 43 0.5× 11 0.3× 26 0.7× 21 477
Philippe Cinquin France 10 175 1.1× 232 2.2× 19 0.2× 12 0.3× 29 0.8× 29 719
Zhipei Chen China 15 103 0.7× 81 0.8× 244 3.0× 11 0.3× 76 2.2× 47 778
Jiale Wang China 15 259 1.6× 56 0.5× 98 1.2× 13 0.3× 19 0.5× 32 506
Arun Kumar Rajendran India 13 251 1.6× 199 1.9× 33 0.4× 13 0.3× 105 3.0× 46 738
Qinghui Zhang China 17 128 0.8× 199 1.9× 244 3.0× 8 0.2× 81 2.3× 78 759

Countries citing papers authored by Heesu Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Heesu Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heesu Hwang

This figure shows the co-authorship network connecting the top 25 collaborators of Heesu Hwang. A scholar is included among the top collaborators of Heesu Hwang 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 Heesu Hwang. Heesu Hwang 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.
Hwang, Heesu, Youkeun K. Oh, Do-Kyun Kim, et al.. (2025). Machine Learning‐Assisted Microstructural Quantification of Multiphase Cathode Composites in All‐Solid‐State Batteries: Correlation with Battery Performance. Small. 21(10). e2410016–e2410016. 3 indexed citations
2.
Hwang, Heesu, Dong Wook Shin, Jong‐Ho Lee, et al.. (2024). Shear-controlled composite cathodes for all-solid-state batteries combined synergistically with stereology-driven image analysis. Journal of Materials Chemistry A. 12(34). 22797–22808. 3 indexed citations
3.
Lee, Geonhee, Ju‐Yeon Lee, Do‐Hyeong Kim, et al.. (2024). Rational design of hybrid sensor arrays combined synergistically with machine learning for rapid response to a hazardous gas leak environment in chemical plants. Journal of Hazardous Materials. 466. 133649–133649. 31 indexed citations
4.
Kim, Jaehwan, Saeed Ur Rehman, Amjad Hussain, et al.. (2023). Vertical-cavity surface-emitting laser (VCSEL)-based ultrafast photonic sintering of solid oxide fuel cells (SOFCs): prospects for time-efficient/two-dimensional scalability to large-sized SOFCs. Journal of Materials Chemistry A. 11(17). 9474–9484. 10 indexed citations
6.
Hwang, Heesu, et al.. (2023). Synergistic Application of Machine Learning to Microstructural Characterization on Electrode Composites of Solid Oxide Fuel Cells. ECS Transactions. 111(6). 445–451. 1 indexed citations
7.
Kim, Sang Hun, et al.. (2022). Machine learning-based discrimination of indoor pollutants using an oxide gas sensor array: High endurance against ambient humidity and temperature. Sensors and Actuators B Chemical. 364. 131894–131894. 55 indexed citations
9.
Hwang, Heesu, Junsung Ahn, Jaehwan Kim, et al.. (2021). Deep learning-assisted microstructural analysis of Ni/YSZ anode composites for solid oxide fuel cells. Materials Characterization. 172. 110906–110906. 21 indexed citations
10.
12.
Yoon, Young, et al.. (2019). Analyzing Basketball Movements and Pass Relationships Using Realtime Object Tracking Techniques Based on Deep Learning. IEEE Access. 7. 56564–56576. 49 indexed citations
13.
Kim, Jaehwan, Heesu Hwang, Chang Gyoun Kim, et al.. (2019). Tin oxysulfide composite thin films based on atomic layer deposition of tin sulfide and tin oxide using Sn(dmamp)2 as Sn precursor. Ceramics International. 46(4). 5109–5118. 15 indexed citations
14.
Hwang, Heesu, et al.. (2019). Synergistic approach to quantifying information on a crack-based network in loess/water material composites using deep learning and network science. Computational Materials Science. 166. 240–250. 12 indexed citations
15.
Lee, Mi Nam, Heesu Hwang, Sin‐Hye Oh, et al.. (2018). Elevated extracellular calcium ions promote proliferation and migration of mesenchymal stem cells via increasing osteopontin expression. Experimental & Molecular Medicine. 50(11). 1–16. 121 indexed citations
16.
Kim, Jaehwan, Chang-Yeol Han, Eui Hyun Kim, et al.. (2018). Crack monitoring in shape memory alloy/cement composite materials using water-dispersed quantum dots. Smart Materials and Structures. 27(9). 97001–97001. 4 indexed citations
17.
Kim, Eui Hyun, Jae-Hwan Kim, Heesu Hwang, et al.. (2018). Electrical/Mechanical Monitoring of Shape Memory Alloy Reinforcing Fibers Obtained by Pullout Tests in SMA/Cement Composite Materials. Materials. 11(2). 315–315. 8 indexed citations
18.
Song, Daesung, Jung-Woo Kim, Heesu Hwang, et al.. (2017). Quantitative Analysis of Tooth Mineral Content by High Resolution Microcomputed Tomography. 42(4). 155–161. 1 indexed citations
19.
Hwang, Heesu, et al.. (2008). A Branch-and-Price-and-Cut Method for Ship Scheduling with Limited Risk. Transportation Science. 42(3). 336–351. 29 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

Rankless by CCL
2026