Jin Dong Song
- Electrical and Electronic Engineering top 1%
- Atomic and Molecular Physics, and Optics top 0.5%
- Materials Chemistry top 5%
- Biomedical Engineering top 5%
- Artificial Intelligence top 2%
- Co-authors
- Kartik SrinivasanMarcelo DavançoKrishna C. BalramWon Jun ChoiPeter LodahlSøren StobbeTommaso PregnolatoLeonardo Midolo
- Topics
- Semiconductor Quantum Structures and Devices (199 papers)Advanced Semiconductor Detectors and Materials (95 papers)Semiconductor Lasers and Optical Devices (74 papers)
- Cited by
- Atomic and Molecular Physics, and OpticsElectrical and Electronic EngineeringMaterials Chemistry
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Jin Dong Song
274 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Electrical and Electronic Engineering 3.0k
- Atomic and Molecular Physics, and Optics 2.6k
- Materials Chemistry 1.5k
- Biomedical Engineering 883
- Artificial Intelligence 688
Countries citing papers authored by Jin Dong Song
This map shows the geographic impact of Jin Dong 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 Jin Dong Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Dong Song more than expected).
Fields of papers citing papers by Jin Dong Song
This network shows the impact of papers produced by Jin Dong 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 Jin Dong Song. The network helps show where Jin Dong Song may publish in the future.
Co-authorship network of co-authors of Jin Dong Song
This figure shows the co-authorship network connecting the top 25 collaborators of Jin Dong Song. A scholar is included among the top collaborators of Jin Dong Song 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 Jin Dong Song. Jin Dong Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 12 | |
| 8 | 68 | |
| 9 | 27 | |
| 10 | 6 | |
| 11 | 34 | |
| 12 | 12 | |
| 13 | 7 | |
| 14 | 51 | |
| 15 | 7 | |
| 16 | 2 | |
| 17 | 71 | |
| 18 | 168 | |
| 19 | Deterministic photon–emitter coupling in chiral photonic circuitsbreakdown → | 456 |
| 20 | Time resolved infrared photo luminescence of InAs/GaAs quantum dot | 1 |
About Jin Dong Song
Jin Dong Song is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Materials Chemistry, having authored 295 papers that have together received 4.3k indexed citations. Recurring topics across this work include Semiconductor Quantum Structures and Devices (199 papers), Advanced Semiconductor Detectors and Materials (95 papers) and Semiconductor Lasers and Optical Devices (74 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (2.6k citations), Electrical and Electronic Engineering (3.0k citations) and Materials Chemistry (1.5k citations). Jin Dong Song has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Kartik Srinivasan, Marcelo Davanço, Krishna C. Balram, Won Jun Choi, Peter Lodahl, Søren Stobbe, Tommaso Pregnolato, Leonardo Midolo, Alisa Javadi and Gabija Kiršanskė. Their work appears in journals such as Nature, Physical Review Letters and Advanced Materials.
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.