Daniel Song

441 citations
29 papers · 388 · h-index 12

Impact in

Papers in

Daniel Song

29 papers receiving 383 citations

Peers

Daniel Song
Comparison fields: 5 of 49
  • Nuclear Energy and Engineering 9
  • Mechanical Engineering 248
  • Biomedical Engineering 212
  • Electrical and Electronic Engineering 222
  • Reproductive Medicine 19
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Scott Burroughs United States
Hsiu-hung Chen United States
Yoshiaki Fuda United States
Poi-Siong Teo Singapore
Liang‐Liang Fan China
Akash Subhash Awale India
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Song

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Song, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Song Line = papers co-authored together Daniel Song links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201579
2 201341
3 201341
4 201340
5 201223
6 201316
7 201415
8 201315
9 201315
10 201313
11 201312
12 201312
13 201210
14 20139
15 20127
16 20125
17 20135
18 20144
19 20144
20
The high energy density of pb(Zr1-xTix)O3-pb(Ni1/3Nb2/3)O3 ceramics for piezoelectric energy harvesting devices
20124

About Daniel Song

Daniel Song is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering, Biomedical Engineering, Materials Chemistry and Civil and Structural Engineering, having authored 29 papers that have together received 388 indexed citations. Recurring topics across this work include Innovative Energy Harvesting Technologies (22 papers), Advanced Sensor and Energy Harvesting Materials (15 papers), Energy Harvesting in Wireless Networks (13 papers), Wireless Power Transfer Systems (5 papers), Acoustic Wave Resonator Technologies (4 papers), Ferroelectric and Piezoelectric Materials (3 papers), Advanced Welding Techniques Analysis (2 papers) and Photonic and Optical Devices (2 papers). The work is most often cited by research in Nuclear Energy and Engineering (9 citations), Mechanical Engineering (248 citations), Biomedical Engineering (212 citations), Electrical and Electronic Engineering (222 citations) and Reproductive Medicine (19 citations). Daniel Song has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Tae Hyun Sung, Hyun Jun Jung, Seong Kwang Hong, Se Bin Kim, Chan Ho Yang, Jeong Hun Kim, Jung Hwan Ahn, In‐Tae Seo, Sahn Nahm and Hyun‐Cheol Song. Their work appears in journals such as Journal of Electroceramics, Japanese Journal of Applied Physics, Journal of the American Ceramic Society, Journal of the European Ceramic Society and Current Applied Physics.

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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