Zhao Jun

1.4k citations
87 papers · 1.1k · h-index 20

Impact in

Papers in

Zhao Jun

75 papers receiving 1k citations

Peers

Zhao Jun
Comparison fields: 5 of 61
  • Ecological Modeling 74
  • Biomedical Engineering 597
  • Mechanical Engineering 225
  • Computer Vision and Pattern Recognition 90
  • Control and Systems Engineering 81
Replace Ji Zhao with:
Ji Zhao China
Fang‐Jung Shiou Taiwan
Wei Hang China
Jeong‐Du Kim South Korea
Brigid A. Mullany United States
J. Barry Hull United Kingdom
Lai Zou China
Guangpeng Zhang China
Hailong Cui China
Zhao Jun relative to Ji Zhao China Ji Zhao's profile →
Citations per field
00.5×2×4×6×7.3×
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 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201980
2 201967
3 201849
4 202349
5 202247
6 202144
7 202444
8 201843
9 202442
10 201641
11 202039
12 202032
13 202430
14 202427
15 202526
16 202125
17 202425
18 201622
19 201420
20 202320

About Zhao Jun

Zhao Jun is a scholar working on Biomedical Engineering, Statistics and Probability, Computer Vision and Pattern Recognition, Mechanical Engineering and Industrial and Manufacturing Engineering, having authored 87 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Surface Polishing Techniques (30 papers), Optical measurement and interference techniques (9 papers), Statistical Distribution Estimation and Applications (8 papers), Advanced machining processes and optimization (7 papers), Advanced Machining and Optimization Techniques (4 papers), Industrial Vision Systems and Defect Detection (4 papers), Image and Object Detection Techniques (3 papers) and Advanced Measurement and Metrology Techniques (3 papers). The work is most often cited by research in Ecological Modeling (74 citations), Biomedical Engineering (597 citations), Mechanical Engineering (225 citations), Computer Vision and Pattern Recognition (90 citations) and Control and Systems Engineering (81 citations). Zhao Jun has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Shiming Ji, Cheng Fan, Wei Hang, Jinfeng Huang, Huan Qi, Zhenzhen Chen, Daodang Wang, Ji Zhao, Shiwei Chen and Haoran Peng. Their work appears in journals such as Tribology International, Journal of Manufacturing Processes, International Journal of Mechanical Sciences, Optics Express and The International Journal of Advanced Manufacturing Technology.

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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