Minjun Yan

429 citations
15 papers · 339 · h-index 10

Impact in

Papers in

Minjun Yan

15 papers receiving 331 citations

Peers

Minjun Yan
Comparison fields: 5 of 30
  • Condensed Matter Physics 53
  • Electrical and Electronic Engineering 160
  • Atomic and Molecular Physics, and Optics 52
  • Instrumentation 4
  • Computational Theory and Mathematics 22
Replace Vadim V. Sirotkin with:
Vadim V. Sirotkin Russia
F. Sacconi Italy
Martin Arnold Switzerland
Atif Imtiaz United States
N. Finger Austria
Bill Taylor United States
Arnaud Beaumont France
Junhu Cai China
Yuta Shiratori Japan
Marina V. Baryshnikova Belgium
Minjun Yan relative to Vadim V. Sirotkin Russia Vadim V. Sirotkin's profile →
Citations per field
00.5×2×3×3.5×
Vadim V. Sirotkin · 1×
Citations per year

Countries citing papers authored by Minjun Yan

Since Specialization
Citations

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

Fields of papers citing papers by Minjun Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Minjun Yan, 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 Minjun Yan Line = papers co-authored together Minjun Yan links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2014114
2 200832
3 200730
4 200729
5 200824
6 200618
7 200818
8 200815
9 201113
10 200711
11 200910
12 20089
13 20099
14 20084
15 20113

About Minjun Yan

Minjun Yan is a scholar working on Condensed Matter Physics, Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Computational Theory and Mathematics and Electronic, Optical and Magnetic Materials, having authored 15 papers that have together received 339 indexed citations. Recurring topics across this work include Advanced Semiconductor Detectors and Materials (4 papers), Advancements in Photolithography Techniques (3 papers), GaN-based semiconductor devices and materials (3 papers), Force Microscopy Techniques and Applications (2 papers), Semiconductor materials and interfaces (2 papers), Photonic and Optical Devices (2 papers), Semiconductor Lasers and Optical Devices (1 paper) and Quantum-Dot Cellular Automata (1 paper). The work is most often cited by research in Condensed Matter Physics (53 citations), Electrical and Electronic Engineering (160 citations), Atomic and Molecular Physics, and Optics (52 citations), Instrumentation (4 citations) and Computational Theory and Mathematics (22 citations). Minjun Yan has collaborated with scholars based in United States and South Korea. Frequent co-authors include I. Adesida, Gary H. Bernstein, Jian‐Min Zuo, Niu Jin, Alexei Katsnelson, Ömer Gökalp Memiş, Hooman Mohseni, Shuang Zhang, Soon‐Cheol Kong and Xiaobo Sharon Hu. Their work appears in journals such as IEEE Electron Device Letters, Applied Physics Letters, Microelectronic Engineering, Optics Express and Surface and Interface Analysis.

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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