Yi Xia

5.0k total citations · 2 hit papers
82 papers, 4.0k citations indexed

About

Yi Xia is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Yi Xia has authored 82 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Materials Chemistry, 24 papers in Electrical and Electronic Engineering and 16 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Yi Xia's work include Advanced Thermoelectric Materials and Devices (50 papers), Thermal properties of materials (26 papers) and Thermal Expansion and Ionic Conductivity (14 papers). Yi Xia is often cited by papers focused on Advanced Thermoelectric Materials and Devices (50 papers), Thermal properties of materials (26 papers) and Thermal Expansion and Ionic Conductivity (14 papers). Yi Xia collaborates with scholars based in United States, China and Iran. Yi Xia's co-authors include Vidvuds Ozoliņš, Chris Wolverton, Fei Zhou, Jiangang He, Xu Lu, Donald T. Morelli, Koushik Pal, Weston Nielson, S. Shahab Naghavi and Ctirad Uher and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Physical Review Letters.

In The Last Decade

Yi Xia

80 papers receiving 3.9k citations

Hit Papers

High Performance Thermoelectricity in Earth‐Abundant Comp... 2012 2026 2016 2021 2012 2023 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yi Xia United States 33 3.5k 1.7k 758 405 291 82 4.0k
Nebil A. Katcho Spain 19 3.3k 0.9× 1.3k 0.8× 468 0.6× 354 0.9× 337 1.2× 43 3.9k
Cem Sevik Türkiye 39 5.1k 1.5× 2.1k 1.2× 476 0.6× 432 1.1× 220 0.8× 119 5.6k
Hezhu Shao China 45 4.5k 1.3× 2.9k 1.7× 700 0.9× 489 1.2× 425 1.5× 118 5.5k
Koushik Pal India 30 2.4k 0.7× 1.1k 0.7× 372 0.5× 527 1.3× 206 0.7× 64 2.6k
Olle Hellman Sweden 27 2.8k 0.8× 799 0.5× 476 0.6× 614 1.5× 176 0.6× 64 3.4k
Terumasa Tadano Japan 21 2.4k 0.7× 860 0.5× 718 0.9× 639 1.6× 132 0.5× 64 3.3k
J. Serrano Spain 30 2.8k 0.8× 1.3k 0.8× 736 1.0× 536 1.3× 58 0.2× 69 3.4k
Jamil Tahir‐Kheli United States 12 2.8k 0.8× 1.1k 0.7× 393 0.5× 698 1.7× 692 2.4× 24 3.5k
Jiawei Zhang China 28 2.9k 0.8× 1.3k 0.8× 678 0.9× 288 0.7× 315 1.1× 85 3.1k

Countries citing papers authored by Yi Xia

Since Specialization
Citations

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

Fields of papers citing papers by Yi Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi Xia

This figure shows the co-authorship network connecting the top 25 collaborators of Yi Xia. A scholar is included among the top collaborators of Yi Xia 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 Yi Xia. Yi Xia 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.
Hegde, Vinay I., et al.. (2025). Accelerating high-throughput phonon calculations via machine learning universal potentials. Materials Today Physics. 53. 101688–101688. 6 indexed citations
3.
Xia, Yi. (2025). First-principles theory of five- and six-phonon scattering. Physical review. B.. 112(20).
4.
He, Cheng, Jun Sun, Xiangdong Ding, et al.. (2024). The relation between the atomic mass ratio and quartic anharmonicity in alkali metal hydrides. Materials Today Physics. 44. 101423–101423. 5 indexed citations
5.
Xia, Yi, et al.. (2024). Revisiting lattice thermal conductivity of CsCl: The crucial role of quartic anharmonicity. Applied Physics Letters. 124(17). 8 indexed citations
6.
Xia, Yi, et al.. (2024). Competition between long- and short-range order in size-mismatched medium-entropy alloys. Acta Materialia. 277. 120199–120199. 7 indexed citations
7.
Xia, Yi, et al.. (2023). Accelerating the prediction of stable materials with machine learning. Nature Computational Science. 3(11). 934–945. 50 indexed citations
8.
Gao, Zhibin, Guimei Zhu, Jie Ren, et al.. (2023). Role of high-order anharmonicity and off-diagonal terms in thermal conductivity: A case study of multiphase CsPbBr3. Physical review. B.. 107(21). 31 indexed citations
9.
Shen, Jiahong, et al.. (2023). Phase Stability of Lead Phosphate Apatite Pb10–xCux(PO4)6O, Pb10–xCux(PO4)6(OH)2 (x = 0, 1), and Pb8Cu2(PO4)6. Chemistry of Materials. 36(1). 275–285. 7 indexed citations
10.
Li, Zhi, Yi Xia, & Chris Wolverton. (2023). First-principles calculations of lattice thermal conductivity in Tl3VSe4: Uncertainties from different approaches of force constants. Physical review. B.. 108(18). 10 indexed citations
11.
Li, Zhi, Hongyao Xie, Yi Xia, et al.. (2022). Weak-Bonding Elements Lead to High Thermoelectric Performance in BaSnS3 and SrSnS3: A First-Principles Study. Chemistry of Materials. 34(3). 1289–1301. 40 indexed citations
12.
Pal, Koushik, Cheol Woo Park, Yi Xia, Jiahong Shen, & Chris Wolverton. (2022). Scale-invariant machine-learning model accelerates the discovery of quaternary chalcogenides with ultralow lattice thermal conductivity. npj Computational Materials. 8(1). 30 indexed citations
13.
Li, Zhi, Hongyao Xie, Shiqiang Hao, et al.. (2021). Optical phonon dominated heat transport: A first-principles thermal conductivity study of BaSnS2. Physical review. B.. 104(24). 40 indexed citations
14.
Shen, Jiahong, Vinay I. Hegde, Jiangang He, Yi Xia, & Chris Wolverton. (2021). High-Throughput Computational Discovery of Ternary Mixed-Anion Oxypnictides. Chemistry of Materials. 33(24). 9486–9500. 12 indexed citations
15.
Hodges, James M., Yi Xia, Christos D. Malliakas, et al.. (2020). Mixed-Valent Copper Chalcogenides: Tuning Structures and Electronic Properties Using Multiple Anions. Chemistry of Materials. 32(23). 10146–10154. 16 indexed citations
16.
Pal, Koushik, Xia Hua, Yi Xia, & Christopher Wolverton. (2019). Unraveling the Structure-Valence-Property Relationships in AMM′Q3 Chalcogenides with Promising Thermoelectric Performance. ACS Applied Energy Materials. 3(3). 2110–2119. 33 indexed citations
17.
Pal, Koushik, Yi Xia, Jiangang He, & Christopher Wolverton. (2019). Intrinsically Low Lattice Thermal Conductivity Derived from Rattler Cations in an AMM′Q3 Family of Chalcogenides. Chemistry of Materials. 31(21). 8734–8741. 34 indexed citations
18.
Hodges, James M., Yi Xia, Christos D. Malliakas, et al.. (2018). Two-Dimensional CsAg5Te3–xSx Semiconductors: Multi-anion Chalcogenides with Dynamic Disorder and Ultralow Thermal Conductivity. Chemistry of Materials. 30(20). 7245–7254. 20 indexed citations
19.
Naghavi, S. Shahab, Jiangang He, Yi Xia, & Chris Wolverton. (2018). Pd2Se3 Monolayer: A Promising Two-Dimensional Thermoelectric Material with Ultralow Lattice Thermal Conductivity and High Power Factor. Chemistry of Materials. 30(16). 5639–5647. 141 indexed citations
20.
He, Jiangang, Shiqiang Hao, Yi Xia, et al.. (2016). Bi2PdO4: A Promising Thermoelectric Oxide with High Power Factor and Low Lattice Thermal Conductivity. Chemistry of Materials. 29(6). 2529–2534. 46 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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