Jun Zha

889 citations
69 papers · 666 · h-index 15

Impact in

Papers in

    • Advanced Measurement and Metrology Techniques 35
    • Advanced machining processes and optimization 33
    • Tribology and Lubrication Engineering 14
    • Gear and Bearing Dynamics Analysis 7
    • Advanced Surface Polishing Techniques 21

Jun Zha

62 papers receiving 657 citations

Peers

Jun Zha
Comparison fields: 5 of 67
  • Mechanical Engineering 516
  • Industrial and Manufacturing Engineering 92
  • Computational Mechanics 100
  • Statistics, Probability and Uncertainty 22
  • Biomedical Engineering 134
Replace Benjamin Bergmann with:
Benjamin Bergmann Germany
S. Raadnui Thailand
W.H. Zhang China
Yuichi Okazaki Japan
Ming Hu China
Anaïs Barasinski France
Farbod Akhavan Niaki United States
Weihao Zhang China
Marin Gostimirović Serbia
Sagar Shah United States
Jun Zha relative to Benjamin Bergmann Germany Benjamin Bergmann's profile →
Citations per field
00.5×2.9×
Benjamin Bergmann · 1×
Citations per year

Countries citing papers authored by Jun Zha

Since Specialization
Citations

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

Fields of papers citing papers by Jun Zha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun Zha, 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 Jun Zha Line = papers co-authored together Jun Zha links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201785
2 201651
3 201641
4 202240
5 202030
6 202026
7 201525
8 201922
9 202319
10 202318
11 202517
12 202017
13 201517
14 202116
15 201715
16 201614
17 201814
18 201913
19 201810
20 20229

About Jun Zha

Jun Zha is a scholar working on Mechanical Engineering, Biomedical Engineering, Electrical and Electronic Engineering, Control and Systems Engineering and Computational Mechanics, having authored 69 papers that have together received 666 indexed citations. Recurring topics across this work include Advanced Measurement and Metrology Techniques (35 papers), Advanced machining processes and optimization (33 papers), Advanced Surface Polishing Techniques (21 papers), Tribology and Lubrication Engineering (14 papers), Iterative Learning Control Systems (7 papers), Gear and Bearing Dynamics Analysis (7 papers), Advanced Numerical Analysis Techniques (7 papers) and Engineering Technology and Methodologies (5 papers). The work is most often cited by research in Mechanical Engineering (516 citations), Industrial and Manufacturing Engineering (92 citations), Computational Mechanics (100 citations), Statistics, Probability and Uncertainty (22 citations) and Biomedical Engineering (134 citations). Jun Zha has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yaolong Chen, Fei Xue, Zhang Chengyong, Tao Wang, Tao Wang, Huijie Zhang, Yipeng Li, Tao Wang, Linhui Li and Linhui Li. Their work appears in journals such as The International Journal of Advanced Manufacturing Technology, Measurement Science and Technology, Materials, Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science and Chinese Journal of Mechanical Engineering.

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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