Shunda Chen

1.1k total citations
37 papers, 613 citations indexed

About

Shunda Chen is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Shunda Chen has authored 37 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Materials Chemistry, 13 papers in Atomic and Molecular Physics, and Optics and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Shunda Chen's work include Thermal properties of materials (19 papers), Advanced Thermoelectric Materials and Devices (13 papers) and Machine Learning in Materials Science (9 papers). Shunda Chen is often cited by papers focused on Thermal properties of materials (19 papers), Advanced Thermoelectric Materials and Devices (13 papers) and Machine Learning in Materials Science (9 papers). Shunda Chen collaborates with scholars based in United States, China and Israel. Shunda Chen's co-authors include Jiao Wang, Davide Donadio, Tianshu Li, Giuliano Benenti, Giulio Casati, Hong Zhao, Yong Zhang, Yi Gao, Jige Chen and Aditya Sood and has published in prestigious journals such as Science, Nature Communications and The Journal of Chemical Physics.

In The Last Decade

Shunda Chen

34 papers receiving 605 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shunda Chen United States	14	496	160	159	115	65	37	613
Y. Jompol United Kingdom	4	210 0.4×	116 0.7×	247 1.6×	32 0.3×	63 1.0×	9	449
J. Oksanen Finland	13	689 1.4×	154 1.0×	152 1.0×	320 2.8×	84 1.3×	20	857
Л. Д. Иванова Russia	17	513 1.0×	438 2.7×	450 2.8×	82 0.7×	115 1.8×	80	854
Kunpeng Yuan China	20	760 1.5×	330 2.1×	163 1.0×	88 0.8×	57 0.9×	66	957
Jorge N. Hernández-Charpak United States	10	200 0.4×	46 0.3×	83 0.5×	108 0.9×	69 1.1×	18	329
Gernot Deinzer Germany	7	618 1.2×	88 0.6×	92 0.6×	126 1.1×	36 0.6×	13	712
Chuanle Zhou United States	13	324 0.7×	230 1.4×	89 0.6×	24 0.2×	74 1.1×	40	491
Travis D. Frazer United States	10	210 0.4×	45 0.3×	81 0.5×	107 0.9×	67 1.0×	21	338
Chuankun Huang United States	14	260 0.5×	246 1.5×	285 1.8×	54 0.5×	71 1.1×	28	622
Clóves Gonçalves Rodrigues Brazil	16	153 0.3×	155 1.0×	282 1.8×	47 0.4×	66 1.0×	91	592

Countries citing papers authored by Shunda Chen

Since Specialization

Citations

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

Fields of papers citing papers by Shunda Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shunda Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Shunda Chen. A scholar is included among the top collaborators of Shunda Chen 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 Shunda Chen. Shunda Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Donadio, Davide, et al.. (2025). Metastability and Ostwald step rule in the crystallisation of diamond and graphite from molten carbon. Nature Communications. 16(1). 6324–6324. 1 indexed citations

Chen, Shunda, Peter Schweizer, Shui-Qing Yu, et al.. (2025). Identification of short-range ordering motifs in semiconductors. Science. 389(6767). 1342–1346.

Ying, Penghua, Wenjiang Zhou, L.A. Svensson, et al.. (2025). Highly efficient path-integral molecular dynamics simulations with GPUMD using neuroevolution potentials: Case studies on thermal properties of materials. The Journal of Chemical Physics. 162(6). 12 indexed citations

West, Damien, et al.. (2025). Semiconductor-compatible topological digital alloys. Materials Today. 86. 115–125. 1 indexed citations

Ying, Penghua, Cheng Qian, Yanzhou Wang, et al.. (2025). Publisher's Note: “Advances in modeling complex materials: The rise of neuroevolution potentials” [Chem. Phys. Rev. 6, 011310 (2025)]. Chemical Physics Reviews. 6(1). 1 indexed citations

Fan, Zheyong, Yang Xiao, Yanzhou Wang, et al.. (2024). Combining linear-scaling quantum transport and machine-learning molecular dynamics to study thermal and electronic transports in complex materials. Journal of Physics Condensed Matter. 36(24). 245901–245901. 15 indexed citations

Chen, Shunda, et al.. (2024). Modeling and Simulation of Electrostatics of Ge$_{\text{1-x}}$Sn$_{\text{x}}$ Layers Grown on Ge Substrates. IEEE Journal of Selected Topics in Quantum Electronics. 31(1: SiGeSn Infrared Photon. and). 1–8. 1 indexed citations

Chen, Shunda, et al.. (2024). Enabling Type I Lattice-Matched Heterostructures in SiGeSn Alloys Through Engineering Composition and Short-Range Order: A First-Principles Perspective. IEEE Journal of Selected Topics in Quantum Electronics. 31(1: SiGeSn Infrared Photon. and). 1–10. 3 indexed citations

Chen, Shunda, et al.. (2024). Intricate short-range order in GeSn alloys revealed by atomistic simulations with highly accurate and efficient machine-learning potentials. Physical Review Materials. 8(4). 11 indexed citations

10.

Chen, Shunda, et al.. (2024). Group IV topological quantum alloy and the role of short-range order: the case of Ge-rich Ge1–xPbx. npj Computational Materials. 10(1). 5 indexed citations

11.

Dong, Haikuan, Penghua Ying, Ke Xu, et al.. (2024). Molecular dynamics simulations of heat transport using machine-learned potentials: A mini-review and tutorial on GPUMD with neuroevolution potentials. Journal of Applied Physics. 135(16). 50 indexed citations

12.

Chen, Shunda, Omar Concepción, Marvin Hartwig Zoellner, et al.. (2023). Local Alloy Order in a Ge1−xSnx/Ge Epitaxial Layer. Physical Review Applied. 20(2). 9 indexed citations

13.

Chen, Shunda, et al.. (2023). Role of local atomic short-range order distribution in alloys: Why it matters in Si-Ge-Sn alloys. Physical Review Materials. 7(11). 9 indexed citations

14.

Chen, Shunda, et al.. (2022). Coexistence of two types of short-range order in Si–Ge–Sn medium-entropy alloys. Communications Materials. 3(1). 18 indexed citations

15.

Chen, Shunda, et al.. (2021). Short-range order in SiSn alloy enriched by second-nearest-neighbor repulsion. Physical Review Materials. 5(10). 10 indexed citations

16.

Chen, Shunda, et al.. (2021). Solid Solution Yb_2–xCa_xCdSb₂: Structure, Thermoelectric Properties, and Quality Factor. Inorganic Chemistry. 60(17). 13596–13606. 13 indexed citations

17.

Sood, Aditya, C. Sievers, Yong Cheol Shin, et al.. (2021). Engineering Thermal Transport across Layered Graphene–MoS₂ Superlattices. ACS Nano. 15(12). 19503–19512. 31 indexed citations

18.

Cao, Boxiao, et al.. (2020). Short-Range Order in GeSn Alloy. ACS Applied Materials & Interfaces. 12(51). 57245–57253. 42 indexed citations

19.

Chen, Shunda, A. F. Lopeandía, F. X. Álvarez, et al.. (2020). Beating the Thermal Conductivity Alloy Limit Using Long-Period Compositionally Graded Si_1–xGe_x Superlattices. The Journal of Physical Chemistry C. 124(36). 19864–19872. 11 indexed citations

20.

Sood, Aditya, Feng Xiong, Shunda Chen, et al.. (2019). Quasi-Ballistic Thermal Transport Across MoS₂ Thin Films. Nano Letters. 19(4). 2434–2442. 77 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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