Dae Kun Hwang

2.4k total citations
63 papers, 1.9k citations indexed

About

Dae Kun Hwang is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Dae Kun Hwang has authored 63 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Biomedical Engineering, 22 papers in Electrical and Electronic Engineering and 13 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Dae Kun Hwang's work include Innovative Microfluidic and Catalytic Techniques Innovation (25 papers), 3D Printing in Biomedical Research (15 papers) and Microfluidic and Bio-sensing Technologies (13 papers). Dae Kun Hwang is often cited by papers focused on Innovative Microfluidic and Catalytic Techniques Innovation (25 papers), 3D Printing in Biomedical Research (15 papers) and Microfluidic and Bio-sensing Technologies (13 papers). Dae Kun Hwang collaborates with scholars based in Canada, United Kingdom and United States. Dae Kun Hwang's co-authors include Patrick S. Doyle, Scott Tsai, Kai P. Yuet, Byeong‐Ui Moon, Dhananjay Dendukuri, Ramin Haghgooie, Simant R. Upreti, Farhad Ein‐Mozaffari, Stephen D. Waldman and Niki Abbasi and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and The Journal of Chemical Physics.

In The Last Decade

Dae Kun Hwang

60 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dae Kun Hwang Canada 24 1.3k 576 496 211 208 63 1.9k
Janine K. Nunes United States 20 892 0.7× 408 0.7× 444 0.9× 185 0.9× 110 0.5× 44 1.5k
Feng Jin China 27 1.2k 0.9× 669 1.2× 332 0.7× 108 0.5× 251 1.2× 111 1.9k
Dhananjay Dendukuri United States 11 2.1k 1.6× 957 1.7× 746 1.5× 260 1.2× 216 1.0× 14 3.0k
Hyomin Lee South Korea 28 1.3k 1.0× 640 1.1× 500 1.0× 341 1.6× 98 0.5× 68 2.5k
Sungmin Hong South Korea 21 1.1k 0.8× 321 0.6× 306 0.6× 262 1.2× 228 1.1× 51 1.9k
Nicole S. Zacharia United States 28 1.1k 0.8× 528 0.9× 404 0.8× 376 1.8× 302 1.5× 57 2.7k
Heng Deng United States 26 965 0.7× 675 1.2× 548 1.1× 211 1.0× 666 3.2× 81 2.2k
Yingshuai Wang China 23 726 0.5× 406 0.7× 987 2.0× 124 0.6× 413 2.0× 52 1.9k
Rhutesh K. Shah United States 18 1.9k 1.5× 1.2k 2.1× 880 1.8× 409 1.9× 133 0.6× 19 3.2k
Gözde Özaydın İnce Türkiye 26 986 0.7× 562 1.0× 755 1.5× 200 0.9× 238 1.1× 56 2.1k

Countries citing papers authored by Dae Kun Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Dae Kun Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dae Kun Hwang

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

All Works

20 of 20 papers shown
1.
Rahman, Omar, et al.. (2025). Hydrogel microwells with customizable bottom design: A one‐step approach to spheroid formation. The Canadian Journal of Chemical Engineering. 103(10). 4647–4660.
2.
Rahman, Omar, et al.. (2025). Single-Step Fabrication of V-Shaped Polymeric Microwells to Enhance Cancer Spheroid Formation. ACS Biomaterials Science & Engineering. 11(3). 1857–1868.
3.
Jegatheeswaran, Sinthuran, Alinaghi Salari, Aaron R. Wheeler, et al.. (2025). Microfluidic mixing by micropost-driven acoustic microstreaming: effects of micropost shape, actuation voltage, and fluid flow rate. Microfluidics and Nanofluidics. 29(10). 1 indexed citations
4.
Waldman, Stephen D., et al.. (2025). Highly elastic bioactive bR-GelMA micro-particles: synthesis and precise micro-fabrication via stop-flow lithography. Biomedical Materials. 20(3). 35003–35003.
5.
Hwang, Dae Kun, et al.. (2024). Anisotropic, free-standing anodic films with aligned anatase-bronze TiO2-integrated graphene for high-capacity lithium-ion batteries. Electrochimica Acta. 500. 144750–144750. 6 indexed citations
6.
Liu, Yifan, et al.. (2024). Boron Nitride Nanosheet-Based Gel Polymer Electrolytes for Stable Lithium Metal Batteries. ACS Applied Nano Materials. 7(9). 10829–10839. 6 indexed citations
7.
Jegatheeswaran, Sinthuran & Dae Kun Hwang. (2023). Stimuli‐Responsive Optical Switching Patterns in Millimetric Hydrogel Frames: Nanomaterial‐Free Anti‐Counterfeiting Technology. Advanced Materials Technologies. 8(21). 1 indexed citations
8.
Hwang, Dae Kun, et al.. (2020). Rapid fabrication of sieved microwells and cross-flow microparticle trapping. Scientific Reports. 10(1). 15687–15687. 7 indexed citations
9.
Abbasi, Niki, et al.. (2019). Microneedle-assisted microfluidic flow focusing for versatile and high throughput water-in-water droplet generation. Journal of Colloid and Interface Science. 553. 382–389. 32 indexed citations
10.
Adibnia, Vahid, Marziye Mirbagheri, Jimmy Faivre, et al.. (2019). Chitosan hydrogel micro-bio-devices with complex capillary patterns via reactive-diffusive self-assembly. Acta Biomaterialia. 99. 211–219. 8 indexed citations
11.
Mirbagheri, Marziye & Dae Kun Hwang. (2019). The Coffee‐Ring Effect on 3D Patterns: A Simple Approach to Creating Complex Hierarchical Materials. Advanced Materials Interfaces. 6(16). 4 indexed citations
12.
Mirbagheri, Marziye, et al.. (2018). Direct cell-cell communication with three-dimensional cell morphology on wrinkled microposts. Acta Biomaterialia. 78. 89–97. 14 indexed citations
13.
Li, Minggan, et al.. (2016). Wrinkling Non-Spherical Particles and Its Application in Cell Attachment Promotion. Scientific Reports. 6(1). 30463–30463. 53 indexed citations
14.
Moon, Byeong‐Ui, et al.. (2016). Water-in-Water Droplets by Passive Microfluidic Flow Focusing. Analytical Chemistry. 88(7). 3982–3989. 101 indexed citations
15.
16.
Hwang, Dae Kun, John Oakey, Mehmet Toner, et al.. (2009). Stop-Flow Lithography for the Production of Shape-Evolving Degradable Microgel Particles. Journal of the American Chemical Society. 131(12). 4499–4504. 123 indexed citations
17.
Hwang, Dae Kun, Dhananjay Dendukuri, & Patrick S. Doyle. (2008). Microfluidic-based synthesis of non-spherical magnetic hydrogel microparticles. Lab on a Chip. 8(10). 1640–1640. 193 indexed citations
18.
Hwang, Dae Kun & Alejandro D. Rey. (2006). Computational studies of optical textures of twist disclination loops in liquid-crystal films by using the finite-difference time-domain method. Journal of the Optical Society of America A. 23(2). 483–483. 5 indexed citations
19.
Hwang, Dae Kun & Alejandro D. Rey. (2006). Optical modeling of liquid crystal biosensors. The Journal of Chemical Physics. 125(17). 174902–174902. 10 indexed citations
20.

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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