Stephen Xie

529 total citations
15 papers, 358 citations indexed

About

Stephen Xie is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Condensed Matter Physics. According to data from OpenAlex, Stephen Xie has authored 15 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Materials Chemistry, 5 papers in Electrical and Electronic Engineering and 4 papers in Condensed Matter Physics. Recurrent topics in Stephen Xie's work include Machine Learning in Materials Science (5 papers), X-ray Diffraction in Crystallography (3 papers) and Superconductivity in MgB2 and Alloys (2 papers). Stephen Xie is often cited by papers focused on Machine Learning in Materials Science (5 papers), X-ray Diffraction in Crystallography (3 papers) and Superconductivity in MgB2 and Alloys (2 papers). Stephen Xie collaborates with scholars based in United States, Italy and China. Stephen Xie's co-authors include Richard G. Hennig, Zi Chen, Erfu Dai, Qiaohang Guo, Elizabeth Chao, G. R. Stewart, J. J. Hamlin, P. J. Hirschfeld, Matthias Rupp and Shreyas Honrao and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and Journal of Applied Physics.

In The Last Decade

Stephen Xie

14 papers receiving 355 citations

Peers

Stephen Xie

CMP

EEE

Ronald H. J. Otten Netherlands

Zachary M. Sherman United States

Vinay Sharma India

Tara D. Edwards United States

Olivier Benzerara France

Mingmin Zhu China

Кiril Кirilov Bulgaria

Seong Ik Cheon United States

Jiahao Fan China

Ronald H. J. Otten Netherlands

Stephen Xie

229 ×1.3

90 ×0.9

CMP

43 ×0.6

108 ×1.6

37 ×0.7

EEE

Citations per year, relative to Stephen Xie Stephen Xie (= 1×) peers Ronald H. J. Otten

Countries citing papers authored by Stephen Xie

Since Specialization

Citations

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

Fields of papers citing papers by Stephen Xie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Xie

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

All Works

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15 of 15 papers shown

Li, Jialin, et al.. (2025). Self-powered ammonia gas sensor based on Ta2O5/Nb2AlC nanocomposites for environmental monitoring in vegetable greenhouses. Journal of environmental chemical engineering. 13(1). 115294–115294. 5 indexed citations

Park, Junsoo, et al.. (2025). Electrochemical Stability and Reduction Mechanism of LLZO Interfaces in Li Batteries from First Principles. Journal of the American Chemical Society. 147(43). 39080–39092.

Xie, Stephen, Shreyas Honrao, & John W. Lawson. (2024). High-Throughput Screening of Li Solid-State Electrolytes with Bond Valence Methods and Machine Learning. Chemistry of Materials. 36(19). 9320–9329. 13 indexed citations

Paul, Joshua T., et al.. (2023). Stability and magnetic behavior of exfoliable nanowire one-dimensional materials. Physical Review Materials. 7(7). 3 indexed citations

Xie, Stephen, Matthias Rupp, & Richard G. Hennig. (2023). Ultra-fast interpretable machine-learning potentials. npj Computational Materials. 9(1). 41 indexed citations

Honrao, Shreyas, et al.. (2023). Computational Design of Low Melting Eutectics of Molten Salts: A Combined Machine Learning and Thermodynamic Modeling Approach. The Journal of Physical Chemistry Letters. 15(1). 121–126. 7 indexed citations

Lim, Jinhyuk, Yundi Quan, J. S. Kim, et al.. (2022). Creating superconductivity in WB2 through pressure-induced metastable planar defects. Nature Communications. 13(1). 7901–7901. 31 indexed citations

Xie, Stephen, Yundi Quan, Laura Fanfarillo, et al.. (2022). Machine learning of superconducting critical temperature from Eliashberg theory. npj Computational Materials. 8(1). 60 indexed citations

Lim, Jinhyuk, Yundi Quan, Laura Fanfarillo, et al.. (2021). High-pressure study of the low-Z rich superconductor Be22Re. Physical review. B.. 104(6). 5 indexed citations

10.

Fanfarillo, Laura, J. J. Hamlin, Richard G. Hennig, et al.. (2020). Remarkable low-energy properties of the pseudogapped semimetal Be5Pt. Physical review. B.. 102(15). 2 indexed citations

11.

Xie, Stephen, et al.. (2020). Machine learning of octahedral tilting in oxide perovskites by symbolic classification with compressed sensing. Computational Materials Science. 180. 109690–109690. 24 indexed citations

12.

Honrao, Shreyas, Stephen Xie, & Richard G. Hennig. (2020). Augmenting machine learning of energy landscapes with local structural information. Journal of Applied Physics. 128(8). 15 indexed citations

13.

Xie, Stephen, G. R. Stewart, J. J. Hamlin, P. J. Hirschfeld, & Richard G. Hennig. (2019). Functional form of the superconducting critical temperature from machine learning. Physical review. B.. 100(17). 44 indexed citations

14.

Xie, Stephen, Kamal Choudhary, M. C. Sexton, et al.. (2018). Candidate replacements for lead in CH3NH3PbI3 from first principles calculations. Computational Materials Science. 155. 69–73. 7 indexed citations

15.

Guo, Qiaohang, et al.. (2015). Fast nastic motion of plants and bioinspired structures. Journal of The Royal Society Interface. 12(110). 20150598–20150598. 101 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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