Song Xia

3.0k citations
131 papers · 2.3k · h-index 25

Impact in

Papers in

Song Xia

122 papers receiving 2.2k citations

Peers

Song Xia
Comparison fields: 5 of 101
  • Electronic, Optical and Magnetic Materials 1.1k
  • Aerospace Engineering 962
  • Materials Chemistry 481
  • Electrical and Electronic Engineering 577
  • Artificial Intelligence 333
Replace Ming Huang with:
Ming Huang China
C. Brosseau France
Chi Kin Chow Hong Kong
Jiaqi Han China
Yang Yue China
Baolin Wu China
Alexandros Terzis Germany
Kai Guo China
Jeremy A. Bossard United States
Song Xia relative to Ming Huang China Ming Huang's profile →
Citations per field
00.5×2.7×
Ming Huang · 1×
Citations per year

Countries citing papers authored by Song Xia

Since Specialization
Citations

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

Fields of papers citing papers by Song Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Song Xia, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Song Xia Line = papers co-authored together Song Xia links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 131 papers — load more, or switch the sort, to bring in the rest.

#Work
1
MS MARCO: A Human Generated MAchine Reading COmprehension Dataset.
2016255
2 2017149
3 2016116
4 2022101
5 201485
6 201673
7 201473
8 201672
9 202370
10
Transformer-XH: Multi-Evidence Reasoning with eXtra Hop Attention
202063
11 201553
12 201651
13 202044
14 202344
15 202242
16 201637
17 201032
18 201932
19 201628
20 201227

About Song Xia

Song Xia is a scholar working on Electronic, Optical and Magnetic Materials, Aerospace Engineering, Materials Chemistry, Electrical and Electronic Engineering and Biomedical Engineering, having authored 131 papers that have together received 2.3k indexed citations. Recurring topics across this work include Advanced Antenna and Metasurface Technologies (44 papers), Metamaterials and Metasurfaces Applications (44 papers), Antenna Design and Analysis (39 papers), Ferroelectric and Piezoelectric Materials (23 papers), Microwave Dielectric Ceramics Synthesis (20 papers), Acoustic Wave Resonator Technologies (16 papers), Microwave Engineering and Waveguides (11 papers) and Plasmonic and Surface Plasmon Research (11 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (1.1k citations), Aerospace Engineering (962 citations), Materials Chemistry (481 citations), Electrical and Electronic Engineering (577 citations) and Artificial Intelligence (333 citations). Song Xia has collaborated with scholars based in China, United States and Egypt. Frequent co-authors include Zhuo Xu, Jiafu Wang, Shaobo Qu, Anxue Zhang, Hongyu Shi, Zhenrong Li, Saurabh Tiwary, Yongqiang Pang, Li Deng and Jianfeng Gao. Their work appears in journals such as Journal of Applied Physics, Applied Physics Letters, Journal of Materials Chemistry C, Journal of the European Ceramic Society and Journal of the American Ceramic Society.

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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