Xin Ju

69 total papers · 488 total citations
47 papers, 339 citations indexed

About

Xin Ju is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Xin Ju has authored 47 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Electrical and Electronic Engineering, 10 papers in Biomedical Engineering and 9 papers in Materials Chemistry. Recurrent topics in Xin Ju's work include Advanced Memory and Neural Computing (14 papers), Ferroelectric and Negative Capacitance Devices (13 papers) and Semiconductor materials and devices (7 papers). Xin Ju is often cited by papers focused on Advanced Memory and Neural Computing (14 papers), Ferroelectric and Negative Capacitance Devices (13 papers) and Semiconductor materials and devices (7 papers). Xin Ju collaborates with scholars based in China, Singapore and Japan. Xin Ju's co-authors include D. S. Ang, Haizhong Zhang, Asif Ali, Haider Abbas, Dongzhi Chi, Qin Chen, Jin Cui, Chenjie Gu, Zhenguo Shen and Yu Zhou and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Applied Physics and Advanced Functional Materials.

In The Last Decade

Xin Ju

40 papers receiving 330 citations

Author Peers

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

Author Last Decade Papers Cites
Xin Ju 240 74 67 62 60 47 339
Fangzhou Li 199 0.8× 44 0.6× 65 1.0× 66 1.1× 52 0.9× 21 320
Yafeng Hao 122 0.5× 58 0.8× 175 2.6× 95 1.5× 81 1.4× 19 388
Lingyuan Meng 87 0.4× 154 2.1× 162 2.4× 62 1.0× 59 1.0× 25 381
Jinhua Zeng 211 0.9× 40 0.5× 73 1.1× 156 2.5× 23 0.4× 17 314
Yixin Zhu 294 1.2× 114 1.5× 54 0.8× 85 1.4× 70 1.2× 19 390
Katarzyna Znajdek 196 0.8× 26 0.4× 80 1.2× 148 2.4× 46 0.8× 35 350
Peijian Zhang 168 0.7× 32 0.4× 28 0.4× 28 0.5× 29 0.5× 51 322
Cheng-Han Li 227 0.9× 31 0.4× 82 1.2× 65 1.0× 39 0.7× 34 387
Saman Azhari 161 0.7× 15 0.2× 106 1.6× 74 1.2× 32 0.5× 31 316
Yue Yuan 223 0.9× 46 0.6× 38 0.6× 102 1.6× 28 0.5× 40 329

Countries citing papers authored by Xin Ju

Since Specialization
Citations

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

Fields of papers citing papers by Xin Ju

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Ju

This figure shows the co-authorship network connecting the top 25 collaborators of Xin Ju. A scholar is included among the top collaborators of Xin Ju 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 Xin Ju. Xin Ju 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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