Zhao Jun

1.3k citations
88 papers · 957 · h-index 20

Impact in

Papers in

Zhao Jun

78 papers receiving 930 citations

Peers

Zhao Jun
Comparison fields: 5 of 89
  • Ecological Modeling 136
  • Biomedical Engineering 607
  • Mechanical Engineering 506
  • Computational Mechanics 165
  • Ceramics and Composites 26
Replace Ji Zhao with:
Ji Zhao China
Meiping Wu China
Zhichao Dong China
Haijin Wang China
Mustafa Ay Türkiye
H. Wang China
Dong Gao China
Paul Shore United Kingdom
M. Singaperumal India
Zhao Jun relative to Ji Zhao China Ji Zhao's profile →
Citations per field
00.5×2×4×6×7.2×
Ji Zhao · 1×
Citations per year

Countries citing papers authored by Zhao Jun

Since Specialization
Citations

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

Fields of papers citing papers by Zhao Jun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201974
2 201964
3 201845
4 202243
5 201841
6 202141
7 201640
8 202340
9 202036
10 202431
11 202031
12 202430
13 202125
14 202424
15 202423
16 202422
17 201622
18 201420
19 201319
20 202519

About Zhao Jun

Zhao Jun is a scholar working on Biomedical Engineering, Mechanical Engineering, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Mechanics of Materials, having authored 88 papers that have together received 957 indexed citations. Recurring topics across this work include Advanced Surface Polishing Techniques (30 papers), Advanced machining processes and optimization (22 papers), Optical measurement and interference techniques (10 papers), Advanced Measurement and Metrology Techniques (9 papers), Statistical Distribution Estimation and Applications (8 papers), Advanced Machining and Optimization Techniques (7 papers), Erosion and Abrasive Machining (7 papers) and Industrial Vision Systems and Defect Detection (5 papers). The work is most often cited by research in Ecological Modeling (136 citations), Biomedical Engineering (607 citations), Mechanical Engineering (506 citations), Computational Mechanics (165 citations) and Ceramics and Composites (26 citations). Zhao Jun has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Shiming Ji, Cheng Fan, E. Y. Jiang, Wei Hang, Jinfeng Huang, Huan Qi, Zhenzhen Chen, Lei Zhang, Ming Kong and Ji Zhao. Their work appears in journals such as Journal of Manufacturing Processes, Tribology International, Optics Express, The International Journal of Advanced Manufacturing Technology and International Journal of Mechanical Sciences.

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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