Jun Yan

6.0k total citations · 2 hit papers
95 papers, 4.8k citations indexed

About

Jun Yan is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Jun Yan has authored 95 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Materials Chemistry, 56 papers in Electrical and Electronic Engineering and 31 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Jun Yan's work include Graphene research and applications (27 papers), Perovskite Materials and Applications (25 papers) and 2D Materials and Applications (20 papers). Jun Yan is often cited by papers focused on Graphene research and applications (27 papers), Perovskite Materials and Applications (25 papers) and 2D Materials and Applications (20 papers). Jun Yan collaborates with scholars based in United States, China and Japan. Jun Yan's co-authors include A. Pinczuk, Philip Kim, Yuanbo Zhang, Michael S. Fuhrer, Shao‐Yu Chen, Kristian S. Thygesen, H. D. Drew, Karsten W. Jacobsen, Yunlin Chen and Gregory S. Jenkins and has published in prestigious journals such as Nature, Physical Review Letters and The Journal of Chemical Physics.

In The Last Decade

Jun Yan

92 papers receiving 4.7k citations

Hit Papers

Electric Field Effect Tuning of Electron-Phonon Coupling ... 2007 2026 2013 2019 2007 2014 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jun Yan United States 32 3.4k 2.0k 1.5k 1.1k 823 95 4.8k
Luc Henrard Belgium 39 4.5k 1.3× 1.4k 0.7× 1.7k 1.1× 1.8k 1.7× 1.4k 1.6× 117 5.9k
James A. Misewich United States 27 3.5k 1.0× 1.7k 0.9× 1.8k 1.2× 1.5k 1.4× 740 0.9× 61 5.1k
Matthew P. Halsall United Kingdom 21 4.4k 1.3× 2.1k 1.1× 1.5k 1.0× 1.1k 1.0× 460 0.6× 140 5.4k
Chun Hung Lui United States 33 4.8k 1.4× 2.3k 1.2× 2.0k 1.3× 1.5k 1.4× 679 0.8× 51 5.9k
Christophe Voisin France 36 2.6k 0.8× 1.4k 0.7× 2.5k 1.7× 1.7k 1.5× 1.4k 1.7× 109 5.1k
Ludger Wirtz Luxembourg 45 6.4k 1.9× 2.8k 1.4× 1.9k 1.3× 795 0.7× 645 0.8× 130 7.6k
D. C. Elias United Kingdom 17 8.7k 2.5× 3.1k 1.6× 3.3k 2.2× 2.0k 1.9× 932 1.1× 29 9.8k
Oded Hod Israel 37 4.9k 1.4× 1.9k 1.0× 2.8k 1.8× 840 0.8× 364 0.4× 101 6.4k
Hannah J. Joyce United Kingdom 41 2.6k 0.7× 3.5k 1.8× 2.2k 1.4× 3.8k 3.5× 428 0.5× 129 5.6k
Matthew B. Johnson United States 35 2.1k 0.6× 2.8k 1.4× 1.6k 1.1× 644 0.6× 250 0.3× 135 4.3k

Countries citing papers authored by Jun Yan

Since Specialization
Citations

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

Fields of papers citing papers by Jun Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Yan. A scholar is included among the top collaborators of Jun Yan 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 Jun Yan. Jun Yan 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
1.
Wang, Yaru, Ruiqi Li, Sixu Xin, et al.. (2025). An artificial optical nose integrated by metal-organic frameworks three-dimensional photonic crystal array for identification of trace hazardous gases through machine learning integration. Journal of environmental chemical engineering. 13(3). 117043–117043. 3 indexed citations
2.
Yang, Yu, Hao Lü, Yuyuan Zhang, et al.. (2024). DNA‐encoded plasmonic bubbles aggregating dual‐microRNA SERS signals for cancer diagnosis. SHILAP Revista de lepidopterología. 5(6). 18 indexed citations
4.
Liu, Zhenxian, Dongzhou Zhang, Barbara Lavina, et al.. (2024). High-Pressure Polymorphism in Silver Ferrite Delafossite, AgFeO2. Inorganic Chemistry. 63(21). 9763–9770. 1 indexed citations
5.
Chen, Yingmei, et al.. (2024). A 56‐GBaud lumped linear push–pull driver for Mach–Zehnder modulator in 130‐nm SiGe technology. Microwave and Optical Technology Letters. 66(4).
6.
Jin, Yakang, Hong Chen, Xiaoqian Tang, et al.. (2024). Combination of nitrogen and organic fertilizers reduce N2O emissions while increasing winter wheat grain yields and quality in China. Frontiers in Environmental Science. 12. 2 indexed citations
7.
Wang, Zhaolong, et al.. (2023). Polyhedral zeolitic imidazolate frameworks three-dimensional photonic crystals for highly sensitive chlorinated vapors sensing. Microporous and Mesoporous Materials. 357. 112629–112629. 4 indexed citations
8.
Yan, Jun, et al.. (2022). Magnetic Field‐Oriented Electrical Transport Properties in Antiperovskite Mn3SnC. physica status solidi (RRL) - Rapid Research Letters. 16(4). 1 indexed citations
10.
Wang, Yiping, Gavin B. Osterhoudt, Yao Tian, et al.. (2020). The range of non-Kitaev terms and fractional particles in α-RuCl3. npj Quantum Materials. 5(1). 44 indexed citations
11.
Yan, Jun, Shao‐Yu Chen, Thomas Goldstein, et al.. (2018). Superior valley polarization and coherence of 2s excitons in monolayer WSe 2. Bulletin of the American Physical Society. 2018. 5 indexed citations
12.
Goldstein, Thomas, Shao‐Yu Chen, Jiayue Tong, et al.. (2016). Raman scattering and anomalous Stokes–anti-Stokes ratio in MoTe2 atomic layers. Scientific Reports. 6(1). 28024–28024. 39 indexed citations
13.
Chen, Shao‐Yu, Changxi Zheng, Michael S. Fuhrer, & Jun Yan. (2015). Helicity-Resolved Raman Scattering of MoS2, MoSe2, WS2, and WSe2 Atomic Layers. Nano Letters. 15(4). 2526–2532. 241 indexed citations
14.
Cai, Xinghan, Ryan J. Suess, H. D. Drew, et al.. (2015). Pulsed Near-IR Photoresponse in a Bi-metal Contacted Graphene Photodetector. Scientific Reports. 5(1). 14803–14803. 7 indexed citations
15.
Cai, Xinghan, A. B. Sushkov, Ryan J. Suess, et al.. (2014). Sensitive room-temperature terahertz detection via the photothermoelectric effect in graphene. Nature Nanotechnology. 9(10). 814–819. 493 indexed citations breakdown →
16.
Olsen, Thomas, Jun Yan, Jens Jørgen Mortensen, & Kristian S. Thygesen. (2011). Dispersive and Covalent Interactions between Graphene and Metal Surfaces from the Random Phase Approximation. Physical Review Letters. 107(15). 156401–156401. 166 indexed citations
17.
Rhone, Trevor David, Jun Yan, Yann Gallais, et al.. (2011). Rapid Collapse of Spin Waves in Nonuniform Phases of the Second Landau Level. Physical Review Letters. 106(19). 196805–196805. 36 indexed citations
18.
Yan, Jun, Erik Henriksen, Philip Kim, & A. Pinczuk. (2008). Observation of Anomalous Phonon Softening in Bilayer Graphene. Physical Review Letters. 101(13). 136804–136804. 139 indexed citations
19.
Yan, Jun, Yuanbo Zhang, Philip Kim, & A. Pinczuk. (2007). Electric Field Effect Tuning of Electron-Phonon Coupling in Graphene. Physical Review Letters. 98(16). 166802–166802. 945 indexed citations breakdown →
20.
Yan, Jun. (2006). Metrology and Characterization of Impurity Transport During Cleaning of Micro and Nano Structures. UA Campus Repository (The University of Arizona). 3 indexed citations

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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