Jin Chang
- Electrical and Electronic Engineering top 10%
- Atomic and Molecular Physics, and Optics top 10%
- Artificial Intelligence top 5%
- Biomedical Engineering
- Instrumentation top 5%
- Co-authors
- Iman Esmaeil ZadehVal ZwillerJohannes W. N. LosH. P. UrbachAli W. ElshaariStephan SteinhauerSander N. DorenbosSimon Gröblacher
- Topics
- Quantum Information and Cryptography (10 papers)Photonic and Optical Devices (9 papers)Mechanical and Optical Resonators (5 papers)
- Partner nations
- NetherlandsSwedenChina
In The Last Decade
Jin Chang
24 papers receiving 780 citations
Hit Papers
Peers
Comparison fields: 5 of 57
- Electrical and Electronic Engineering 358
- Atomic and Molecular Physics, and Optics 312
- Artificial Intelligence 230
- Biomedical Engineering 158
- Instrumentation 136
Countries citing papers authored by Jin Chang
This map shows the geographic impact of Jin Chang'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 Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Chang more than expected).
Fields of papers citing papers by Jin Chang
This network shows the impact of papers produced by Jin Chang. 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 Chang. The network helps show where Jin Chang may publish in the future.
Co-authorship network of co-authors of Jin Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Jin Chang. A scholar is included among the top collaborators of Jin Chang 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 Chang. Jin Chang 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 | 3 | |
| 3 | 0 | |
| 4 | 10 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 6 | |
| 9 | 18 | |
| 10 | Recent advances in metasurface design and quantum optics applications with machine learning, physics-informed neural networks, and topology optimization methodsbreakdown → | 144 |
| 11 | 9 | |
| 12 | 8 | |
| 13 | 1 | |
| 14 | 36 | |
| 15 | 4 | |
| 16 | Superconducting nanowire single-photon detectors: A perspective on evolution, state-of-the-art, future developments, and applicationsbreakdown → | 206 |
| 17 | 4 | |
| 18 | 155 | |
| 19 | 23 | |
| 20 | 39 |
About Jin Chang
Jin Chang is a scholar working on Acoustics and Ultrasonics, Instrumentation and Structural Biology, having authored 28 papers that have together received 838 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (10 papers), Photonic and Optical Devices (9 papers) and Mechanical and Optical Resonators (5 papers). The work is most often cited by research in Instrumentation (136 citations), Acoustics and Ultrasonics (21 citations) and Biophysics (71 citations). Jin Chang has collaborated with scholars based in Netherlands, Sweden and China. Frequent co-authors include Iman Esmaeil Zadeh, Val Zwiller, Johannes W. N. Los, H. P. Urbach, Ali W. Elshaari, Stephan Steinhauer, Sander N. Dorenbos, Simon Gröblacher, Samuel Gyger and Wenye Ji. Their work appears in journals such as Nature Communications, Nano Letters and Applied Physics Letters.
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.