Xin Jia

954 total citations
35 papers, 802 citations indexed

About

Xin Jia is a scholar working on Atomic and Molecular Physics, and Optics, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Xin Jia has authored 35 papers receiving a total of 802 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Atomic and Molecular Physics, and Optics, 20 papers in Computational Mechanics and 12 papers in Artificial Intelligence. Recurrent topics in Xin Jia's work include Laser Material Processing Techniques (19 papers), Quantum Information and Cryptography (12 papers) and Quantum Computing Algorithms and Architecture (10 papers). Xin Jia is often cited by papers focused on Laser Material Processing Techniques (19 papers), Quantum Information and Cryptography (12 papers) and Quantum Computing Algorithms and Architecture (10 papers). Xin Jia collaborates with scholars based in China and United States. Xin Jia's co-authors include Yu‐Guang Yang, Hua Zhang, Juan Xia, Tianqing Jia, Donghai Feng, Zhenrong Sun, Si-Jia Sun, Shian Zhang, Zhen Sun and Ju Tian and has published in prestigious journals such as Journal of Applied Physics, Optics Letters and Optics Express.

In The Last Decade

Xin Jia

31 papers receiving 754 citations

Peers

Xin Jia
Comparison fields: 5 of 36
  • Artificial Intelligence 446
  • Atomic and Molecular Physics, and Optics 345
  • Computational Mechanics 278
  • Biomedical Engineering 156
  • Computer Vision and Pattern Recognition 149
Replace B. E. Anderson with:
B. E. Anderson United States
Xiaogang Sun China
Simon John Greaves Japan
R.S. Indeck United States
Gregory A. Howland United States
Jan Soubusta Czechia
Shudong Wu United States
Richard M. Brockie United States
X. X. Shen China
Gabriel Y. Sirat France
B. E. Anderson United States View profile →
Citations per field, relative to Xin Jia
Xin Jia · 1×
Citations per year, relative to Xin Jia
Xin Jia · 1×

Countries citing papers authored by Xin Jia

Since Specialization
Citations

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

Fields of papers citing papers by Xin Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Jia

This figure shows the co-authorship network connecting the top 25 collaborators of Xin Jia. A scholar is included among the top collaborators of Xin Jia 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 Jia. Xin Jia 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 0
5 35
6 1
7 35
8 3
9 8
10 2
11 105
12 2
13 3
14 28
15 43
16 36
17 25
18 3
19 10
20 34

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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