Xin Guan

850 total citations
57 papers, 672 citations indexed

About

Xin Guan is a scholar working on Electrical and Electronic Engineering, Aerospace Engineering and Immunology. According to data from OpenAlex, Xin Guan has authored 57 papers receiving a total of 672 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Electrical and Electronic Engineering, 13 papers in Aerospace Engineering and 8 papers in Immunology. Recurrent topics in Xin Guan's work include Advanced Battery Materials and Technologies (12 papers), Advancements in Battery Materials (12 papers) and Microwave Engineering and Waveguides (10 papers). Xin Guan is often cited by papers focused on Advanced Battery Materials and Technologies (12 papers), Advancements in Battery Materials (12 papers) and Microwave Engineering and Waveguides (10 papers). Xin Guan collaborates with scholars based in China, United States and Australia. Xin Guan's co-authors include Cam Nguyen, Yunsheng Ye, Lirong Zheng, Pengxi Wang, Jing Zhang, Lin Guo, Jie Yang, Yuping Zhang, Jianwei Nai and Xingping Zhou and has published in prestigious journals such as Chemistry of Materials, Chemical Engineering Journal and ACS Applied Materials & Interfaces.

In The Last Decade

Xin Guan

49 papers receiving 662 citations

Peers

Xin Guan
Comparison fields: 5 of 81
  • Electrical and Electronic Engineering 512
  • Materials Chemistry 143
  • Automotive Engineering 123
  • Electronic, Optical and Magnetic Materials 119
  • Biomedical Engineering 55
Replace Ubaid Khan with:
Ubaid Khan China
Stefan Schmid Germany
Jiajie Huang China
Jeffrey G. Smith United States
Yipeng Su China
Yu‐Wei Lin Taiwan
Peifeng Zhao China
Zhaochun Lyu China
Ubaid Khan China View profile →
Citations per field, relative to Xin Guan
Xin Guan · 1×
Citations per year, relative to Xin Guan
Xin Guan · 1×

Countries citing papers authored by Xin Guan

Since Specialization
Citations

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

Fields of papers citing papers by Xin Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Guan

This figure shows the co-authorship network connecting the top 25 collaborators of Xin Guan. A scholar is included among the top collaborators of Xin Guan 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 Guan. Xin Guan 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
# Work Indexed citations
1 0
2 0
3 0
4 15
5 1
6 1
7 1
8 5
9 4
10 2
11 1
12 2
13 0
14 5
15 2
16 1
17 15
18 2
19 1
20
An Empirical Study on the Relationship Between Leadersç EI Levels and Leadership Effectiveness
1

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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