Zi Xue

36 papers receiving 418 citations

Peers

Zi Xue
Comparison fields: 5 of 85
  • Mechanical Engineering 291
  • Statistics, Probability and Uncertainty 34
  • Civil and Structural Engineering 90
  • Computer Vision and Pattern Recognition 53
  • Mechanics of Materials 64
Replace Wenjing Gao with:
Wenjing Gao China
Tianqi Wang China
Shenghan Guo United States
Arash Zamani Iran
Xiongming Lai China
Sihan Wang China
Yang Wen China
Wacław Kuś Poland
Hussein Rappel United Kingdom
Lifeng Yang China
Zi Xue relative to Wenjing Gao China Wenjing Gao's profile →
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Citations per year

Countries citing papers authored by Zi Xue

Since Specialization
Citations

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

Fields of papers citing papers by Zi Xue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Zi Xue, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Zi Xue Line = papers co-authored together Zi Xue links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005165
2 201437
3 200622
4 202221
5 200519
6 201519
7 201817
8 202016
9 202314
10 201913
11 20227
12 20237
13 20207
14 20206
15 20086
16 20156
17 20166
18 20156
19 20165
20 20204

About Zi Xue

Zi Xue is a scholar working on Mechanical Engineering, Statistics, Probability and Uncertainty, Electrical and Electronic Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 41 papers that have together received 432 indexed citations. Recurring topics across this work include Advanced Measurement and Metrology Techniques (30 papers), Scientific Measurement and Uncertainty Evaluation (10 papers), Optical measurement and interference techniques (9 papers), Sensor Technology and Measurement Systems (9 papers), Advanced Measurement and Detection Methods (6 papers), Optical Systems and Laser Technology (5 papers), Iterative Learning Control Systems (3 papers) and Advanced Sensor Technologies Research (3 papers). The work is most often cited by research in Mechanical Engineering (291 citations), Statistics, Probability and Uncertainty (34 citations), Civil and Structural Engineering (90 citations), Computer Vision and Pattern Recognition (53 citations) and Mechanics of Materials (64 citations). Zi Xue has collaborated with scholars based in China, United Kingdom and Indonesia. Frequent co-authors include Yao Huang, Ming He, John W. Hutchinson, N.A. Fleck, Frank W. Zok, A.G. Evans, D. D. Radford, V.S. Deshpande, H.J. Rathbun and Jiubin Tan. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, Molecules, Measurement Science and Technology, Experimental Dermatology and Photonics.

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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