Weiyi Xia

701 citations
36 papers · 494 indexed · h-index 13
Topics
Machine Learning in Materials Science (12 papers)2D Materials and Applications (7 papers)Rare-earth and actinide compounds (5 papers)
Partner nations
United StatesChinaJapan

In The Last Decade

Weiyi Xia

33 papers receiving 482 citations

Peers

Weiyi Xia
Comparison fields: 5 of 38
  • Materials Chemistry 397
  • Electrical and Electronic Engineering 163
  • Electronic, Optical and Magnetic Materials 85
  • Atomic and Molecular Physics, and Optics 77
  • Condensed Matter Physics 60
Replace George Amolo with:
George Amolo Kenya
Jaafar Jalilian Iran
Abdullahi Lawal Nigeria
Mei Zhou China
Liyuan Dong China
Rafikul Ali Saha Belgium
Federico Bianchini Norway
Fernando Salazar Mexico
Dmitry V. Rybkovskiy Russia
Weiyi Xia relative to George Amolo Kenya George Amolo's profile →
Citations per field
00.5×1.7×
George Amolo · 1×
Citations per year

Countries citing papers authored by Weiyi Xia

Since Specialization
Citations

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

Fields of papers citing papers by Weiyi Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiyi Xia

This figure shows the co-authorship network connecting the top 25 collaborators of Weiyi Xia. A scholar is included among the top collaborators of Weiyi 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 Weiyi Xia. Weiyi 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
#WorkIndexed citations
1 1
2 0
3 0
4 0
5 1
6 2
7 1
8 2
9 13
10 39
11 15
12 10
13 5
14 7
15 14
16 83
17 21
18
Speeding up GW Calculations for Large Scale Quasiparticle Predictions
2
19 61
20
Biopolymer composites reinforced with fractioned wheat straw
1

About Weiyi Xia

Weiyi Xia is a scholar working on Condensed Matter Physics, Electronic, Optical and Magnetic Materials and Materials Chemistry, having authored 36 papers that have together received 494 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (12 papers), 2D Materials and Applications (7 papers) and Rare-earth and actinide compounds (5 papers). The work is most often cited by research in Materials Chemistry (397 citations), Condensed Matter Physics (60 citations) and Electronic, Optical and Magnetic Materials (85 citations). Weiyi Xia has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Peihong Zhang, Yabei Wu, Weiwei Gao, Yujuan Zhang, Xiang Gao, Wei Ren, Fanhao Jia, Cai‐Zhuang Wang, Renhai Wang and Chao Zhang. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Chemical Physics and SHILAP Revista de lepidopterología.

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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