Hee Seung Wang

1.5k total citations · 1 hit paper
17 papers, 1.2k citations indexed

About

Hee Seung Wang is a scholar working on Biomedical Engineering, Polymers and Plastics and Mechanical Engineering. According to data from OpenAlex, Hee Seung Wang has authored 17 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Biomedical Engineering, 7 papers in Polymers and Plastics and 4 papers in Mechanical Engineering. Recurrent topics in Hee Seung Wang's work include Advanced Sensor and Energy Harvesting Materials (13 papers), Conducting polymers and applications (7 papers) and Tactile and Sensory Interactions (3 papers). Hee Seung Wang is often cited by papers focused on Advanced Sensor and Energy Harvesting Materials (13 papers), Conducting polymers and applications (7 papers) and Tactile and Sensory Interactions (3 papers). Hee Seung Wang collaborates with scholars based in South Korea, United States and United Kingdom. Hee Seung Wang's co-authors include Keon Jae Lee, Jae Hyun Han, Seong Kwang Hong, Young-Hoon Jung, Chang D. Yoo, Daniel J. Joe, Chang Kyu Jeong, Hyunsin Park, Jung Hwan Park and Tae Hong Im and has published in prestigious journals such as Advanced Materials, Advanced Functional Materials and Small.

In The Last Decade

Hee Seung Wang

17 papers receiving 1.2k 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.

Flexible Piezoelectric Acoustic Sensors and Machine Learning for Speech Processing

2019 288 citations Young-Hoon Jung, Seong Kwang Hong et al. Advanced Materials profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hee Seung Wang South Korea	14	991	408	354	349	246	17	1.2k
Shin Hur South Korea	17	891 0.9×	178 0.4×	403 1.1×	239 0.7×	236 1.0×	63	1.3k
Seong Kwang Hong South Korea	15	1.2k 1.2×	290 0.7×	683 1.9×	318 0.9×	631 2.6×	34	1.6k
Jun‐Hyuk Kwak South Korea	14	694 0.7×	184 0.5×	354 1.0×	224 0.6×	155 0.6×	33	942
Peng Zhai China	9	676 0.7×	342 0.8×	366 1.0×	173 0.5×	113 0.5×	30	1.1k
Yufeng Jin China	16	828 0.8×	351 0.9×	761 2.1×	195 0.6×	184 0.7×	194	1.6k
Yuhong Wei China	15	1.1k 1.1×	436 1.1×	462 1.3×	325 0.9×	98 0.4×	29	1.4k
Sangsik Park South Korea	16	1.3k 1.3×	674 1.7×	824 2.3×	585 1.7×	116 0.5×	29	1.7k
Zuguang Bian China	10	1.1k 1.1×	392 1.0×	420 1.2×	325 0.9×	139 0.6×	22	1.3k
Zhanan Zou United States	17	1.5k 1.5×	628 1.5×	387 1.1×	398 1.1×	351 1.4×	27	1.9k
Renxiao Xu United States	15	943 1.0×	331 0.8×	345 1.0×	232 0.7×	272 1.1×	31	1.1k

Countries citing papers authored by Hee Seung Wang

Since Specialization

Citations

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

Fields of papers citing papers by Hee Seung Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hee Seung Wang. 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 Hee Seung Wang. The network helps show where Hee Seung Wang may publish in the future.

Co-authorship network of co-authors of Hee Seung Wang

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

All Works

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17 of 17 papers shown

Jung, Young-Hoon, Dong Yeol Hyeon, Hee Seung Wang, et al.. (2023). Theoretical Basis of Biomimetic Flexible Piezoelectric Acoustic Sensors for Future Customized Auditory Systems. Advanced Functional Materials. 34(10). 26 indexed citations

Wang, Hee Seung, Tae Hong Im, Sang Hyun Sung, et al.. (2021). Flash-welded ultraflat silver nanowire network for flexible organic light-emitting diode and triboelectric tactile sensor. APL Materials. 9(6). 20 indexed citations

Im, Tae Hong, Jong Chan Kim, Shinho Kim, et al.. (2021). Metastable quantum dot for photoelectric devices via flash-induced one-step sequential self-formation. Nano Energy. 84. 105889–105889. 6 indexed citations

Wang, Hee Seung, Seong Kwang Hong, Jae Hyun Han, et al.. (2021). Biomimetic and flexible piezoelectric mobile acoustic sensors with multiresonant ultrathin structures for machine learning biometrics. Science Advances. 7(7). 184 indexed citations

Im, Tae Hong, Hee Seung Wang, Sang Hyun Sung, et al.. (2021). Flashlight-material interaction for wearable and flexible electronics. Materials Today. 51. 525–551. 40 indexed citations

Kang, Seung‐Mo, Han Eol Lee, Hee Seung Wang, et al.. (2021). Self-Powered Flexible Full-Color Display via Dielectric-Tuned Hybrimer Triboelectric Nanogenerators. ACS Energy Letters. 6(11). 4097–4107. 25 indexed citations

Sung, Sang Hyun, et al.. (2021). Memory-centric neuromorphic computing for unstructured data processing. Nano Research. 14(9). 3126–3142. 26 indexed citations

Jung, Young-Hoon, Seong Kwang Hong, Hee Seung Wang, et al.. (2020). Speech Recognition: Flexible Piezoelectric Acoustic Sensors and Machine Learning for Speech Processing (Adv. Mater. 35/2020). Advanced Materials. 32(35). 13 indexed citations

Lee, Hyunhwan, Han Eol Lee, Hee Seung Wang, et al.. (2020). Siloxane Hybrid Materials: Hierarchically Surface‐Textured Ultrastable Hybrid Film for Large‐Scale Triboelectric Nanogenerators (Adv. Funct. Mater. 49/2020). Advanced Functional Materials. 30(49). 1 indexed citations

10.

Lee, Hyunhwan, Han Eol Lee, Hee Seung Wang, et al.. (2020). Hierarchically Surface‐Textured Ultrastable Hybrid Film for Large‐Scale Triboelectric Nanogenerators. Advanced Functional Materials. 30(49). 57 indexed citations

11.

Lee, Han Eol, Jung Hwan Park, Jung H. Shin, et al.. (2020). Optogenetic brain neuromodulation by stray magnetic field via flash-enhanced magneto-mechano-triboelectric nanogenerator. Nano Energy. 75. 104951–104951. 80 indexed citations

12.

Jung, Young-Hoon, Seong Kwang Hong, Hee Seung Wang, et al.. (2019). Flexible Piezoelectric Acoustic Sensors and Machine Learning for Speech Processing. Advanced Materials. 32(35). e1904020–e1904020. 288 indexed citations breakdown →

13.

Kim, In Ho, Tae Hong Im, Han Eol Lee, et al.. (2019). Janus Graphene Liquid Crystalline Fiber with Tunable Properties Enabled by Ultrafast Flash Reduction. Small. 15(48). e1901529–e1901529. 28 indexed citations

14.

Han, Jae Hyun, Jun‐Hyuk Kwak, Daniel J. Joe, et al.. (2018). Basilar membrane-inspired self-powered acoustic sensor enabled by highly sensitive multi tunable frequency band. Nano Energy. 53. 198–205. 105 indexed citations

15.

Han, Jae Hyun, Seong Kwang Hong, Hyunsin Park, et al.. (2018). Machine learning-based self-powered acoustic sensor for speaker recognition. Nano Energy. 53. 658–665. 153 indexed citations

16.

Baek, Changyeon, Jong Hyuk Yun, Hee Seung Wang, et al.. (2017). Enhanced output performance of a lead-free nanocomposite generator using BaTiO3 nanoparticles and nanowires filler. Applied Surface Science. 429. 164–170. 47 indexed citations

17.

Wang, Hee Seung, Chang Kyu Jeong, Min‐Ho Seo, et al.. (2017). Performance-enhanced triboelectric nanogenerator enabled by wafer-scale nanogrates of multistep pattern downscaling. Nano Energy. 35. 415–423. 131 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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