Jun Xia

3.6k total citations
224 papers, 2.7k citations indexed

About

Jun Xia is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Biomedical Engineering. According to data from OpenAlex, Jun Xia has authored 224 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Electrical and Electronic Engineering, 55 papers in Atomic and Molecular Physics, and Optics and 53 papers in Biomedical Engineering. Recurrent topics in Jun Xia's work include Advanced Optical Imaging Technologies (40 papers), Digital Holography and Microscopy (24 papers) and Surface Modification and Superhydrophobicity (16 papers). Jun Xia is often cited by papers focused on Advanced Optical Imaging Technologies (40 papers), Digital Holography and Microscopy (24 papers) and Surface Modification and Superhydrophobicity (16 papers). Jun Xia collaborates with scholars based in China, Canada and Singapore. Jun Xia's co-authors include Wei Lei, Jun Wu, Chenliang Chang, Baoping Wang, Weihua Lai, Andreas Mandelis, Lei Yang, Shengshun Duan, Jing Chen and Gangsheng Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and PLoS ONE.

In The Last Decade

Jun Xia

202 papers receiving 2.5k citations

Peers

Jun Xia
Comparison fields: 5 of 140
  • Biomedical Engineering 786
  • Electrical and Electronic Engineering 606
  • Atomic and Molecular Physics, and Optics 498
  • Media Technology 486
  • Materials Chemistry 447
Replace Peng Gong with:
Peng Gong China
András Vládar United States
Zuobin Wang China
Thomas A. Germer United States
Iván Moreno Mexico
Xiaohan Zhang China
Yiqin Chen China
Shuyan Zhang China
Robert L. Clark United States
Hu Li China
Peng Gong China View profile →
Citations per field, relative to Jun Xia
Jun Xia · 1×
Citations per year, relative to Jun Xia
Jun Xia · 1×

Countries citing papers authored by Jun Xia

Since Specialization
Citations

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

Fields of papers citing papers by Jun Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Xia

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Xia. A scholar is included among the top collaborators of Jun 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 Jun Xia. Jun 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
# Work Indexed citations
1 0
2 0
3 1
4 8
5 0
6 15
7 5
8 0
9 17
10 0
11 3
12 9
13 34
14 34
15 17
16 4
17 7
18 24
19 11
20
Optimization of Linear Induction Machines Based on a Novel Adaptive Genetic Algorithm
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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