Junkai Xue

2.9k citations
5 papers · 2.2k indexed · 2 hit papers · h-index 5
Topics
Machine Learning in Materials Science (3 papers)X-ray Diffraction in Crystallography (1 paper)Fusion materials and technologies (1 paper)

In The Last Decade

Junkai Xue

5 papers receiving 2.1k citations

Hit Papers

AFLOW: An automatic framework for high-throughput materia...2012202620162021201220122505007501000

Peers

Junkai Xue
Comparison fields: 5 of 67
  • Materials Chemistry 1.8k
  • Electrical and Electronic Engineering 420
  • Electronic, Optical and Magnetic Materials 321
  • Mechanical Engineering 298
  • Computational Theory and Mathematics 214
Replace Christopher C. Fischer with:
Christopher C. Fischer United States
Alexander Thompson United States
Jeff W. Doak United States
Matthew K. Horton United States
Alireza Faghaninia United States
Michael Kocher United States
Roman V. Chepulskii United States
Michal Jahnátek Austria
Harold T. Stokes United States
Lance J. Nelson United States
Junkai Xue relative to Christopher C. Fischer United States Christopher C. Fischer's profile →
Citations per field
00.5×2.6×
Christopher C. Fischer · 1×
Citations per year

Countries citing papers authored by Junkai Xue

Since Specialization
Citations

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

Fields of papers citing papers by Junkai Xue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junkai Xue

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

All Works

About Junkai Xue

Junkai Xue is a scholar working on Catalysis, Materials Chemistry and Condensed Matter Physics, having authored 5 papers that have together received 2.2k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (3 papers), X-ray Diffraction in Crystallography (1 paper) and Fusion materials and technologies (1 paper). The work is most often cited by research in Materials Chemistry (1.8k citations), Catalysis (155 citations) and Electronic, Optical and Magnetic Materials (321 citations). Junkai Xue has collaborated with scholars based in United States, Ireland and France. Frequent co-authors include Stefano Curtarolo, Ohad Levy, Gus L. W. Hart, Shidong Wang, Richard H. Taylor, Wahyu Setyawan, Kesong Yang, Stefano Sanvito, Michal Jahnátek and Roman V. Chepulskii. Their work appears in journals such as Physical Review B, Science Advances and Computational Materials Science.

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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