David J. Hwang

1.6k citations
78 papers · 1.2k indexed · h-index 21
Topics
Laser Material Processing Techniques (16 papers)Nanowire Synthesis and Applications (10 papers)Chalcogenide Semiconductor Thin Films (9 papers)

In The Last Decade

David J. Hwang

76 papers receiving 1.2k citations

Peers

David J. Hwang
Comparison fields: 5 of 88
  • Biomedical Engineering 641
  • Electrical and Electronic Engineering 431
  • Materials Chemistry 350
  • Computational Mechanics 314
  • Atomic and Molecular Physics, and Optics 159
Replace M. de Boer with:
M. de Boer Netherlands
R.C.Y. Auyeung United States
Bryan D. Moran United States
Vito Pagliarulo Italy
Jiawei Li China
M. Elwenspoek Netherlands
Koji Sugioka Japan
Zahyun Ku United States
Jong G. Ok South Korea
Mathias Rommel Germany
David J. Hwang relative to M. de Boer Netherlands M. de Boer's profile →
Citations per field
00.5×3.3×
M. de Boer · 1×
Citations per year

Countries citing papers authored by David J. Hwang

Since Specialization
Citations

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

Fields of papers citing papers by David J. Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David J. Hwang

This figure shows the co-authorship network connecting the top 25 collaborators of David J. Hwang. A scholar is included among the top collaborators of David J. 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 David J. Hwang. David J. 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
#WorkIndexed citations
1 0
2 1
3 10
4 8
5 35
6 26
7 15
8 2
9 19
10 43
11
Active ranging system based on structured laser light image
8
12
Optical Beat-Wave Experiment on CTIX
1
13 32
14 30
15 90
16 21
17 57
18 64
19
Optical Near-Field Based Nanoscale Rapid Melting and Crystallization of Amorphous Silicon Thin Films
2
20
Pulsed laser processing of electronic materials in micro/nanoscale
2

About David J. Hwang

David J. Hwang is a scholar working on Computational Mechanics, Instrumentation and Biomedical Engineering, having authored 78 papers that have together received 1.2k indexed citations. Recurring topics across this work include Laser Material Processing Techniques (16 papers), Nanowire Synthesis and Applications (10 papers) and Chalcogenide Semiconductor Thin Films (9 papers). The work is most often cited by research in Computational Mechanics (314 citations), Biomedical Engineering (641 citations) and Surfaces, Coatings and Films (91 citations). David J. Hwang has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include Costas P. Grigoropoulos, Hojeong Jeon, Hirofumi Hidai, Sang‐Gil Ryu, Kevin E. Healy, Jong H. Yoo, Richard E. Russo, Eunpa Kim, Seung Hwan Ko and Heng Pan. Their work appears in journals such as Journal of the American Chemical Society, Nano Letters and ACS Nano.

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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