Xue Ni

83 total papers · 806 total citations
51 papers, 646 citations indexed

About

Xue Ni is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Molecular Biology. According to data from OpenAlex, Xue Ni has authored 51 papers receiving a total of 646 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Electrical and Electronic Engineering, 9 papers in Materials Chemistry and 8 papers in Molecular Biology. Recurrent topics in Xue Ni's work include Wireless Signal Modulation Classification (6 papers), MXene and MAX Phase Materials (6 papers) and Cooperative Communication and Network Coding (4 papers). Xue Ni is often cited by papers focused on Wireless Signal Modulation Classification (6 papers), MXene and MAX Phase Materials (6 papers) and Cooperative Communication and Network Coding (4 papers). Xue Ni collaborates with scholars based in China, United States and Japan. Xue Ni's co-authors include Xuesong Li, Xutang Tao, Mengqi Zhang, Wenjuan Guo, Luyan Wang, Meishan Pei, Yangyang Liu, Xutang Tao, Lei Wang and Leilei Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Functional Materials and Scientific Reports.

In The Last Decade

Xue Ni

46 papers receiving 632 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Xue Ni 317 161 155 89 84 51 646
Gang Li 216 0.7× 211 1.3× 112 0.7× 72 0.8× 51 0.6× 60 742
Xin Li 243 0.8× 116 0.7× 124 0.8× 117 1.3× 78 0.9× 41 686
Yuxin Feng 198 0.6× 151 0.9× 114 0.7× 45 0.5× 58 0.7× 53 633
Thi Hong Anh Nguyen 271 0.9× 164 1.0× 99 0.6× 113 1.3× 50 0.6× 52 786
Meijun Wang 218 0.7× 145 0.9× 181 1.2× 124 1.4× 54 0.6× 60 773
Yubo Huang 305 1.0× 87 0.5× 102 0.7× 51 0.6× 48 0.6× 36 589
Á. García 227 0.7× 135 0.8× 103 0.7× 31 0.3× 19 0.2× 63 785
Abdullateef H. Bashiri 269 0.8× 129 0.8× 167 1.1× 193 2.2× 103 1.2× 48 730
Shengli Jiang 281 0.9× 192 1.2× 158 1.0× 18 0.2× 52 0.6× 39 691
Minsu Kim 352 1.1× 178 1.1× 165 1.1× 46 0.5× 35 0.4× 48 735

Countries citing papers authored by Xue Ni

Since Specialization
Citations

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

Fields of papers citing papers by Xue Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xue Ni

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

All Works

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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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