Jun Ding

2k citations
50 papers · 1.6k · 1 hit paper · h-index 16

Impact in

Papers in

    • Advanced SAR Imaging Techniques 8
    • High-Temperature Coating Behaviors 6
    • High-Velocity Impact and Material Behavior 4
    • Microstructure and mechanical properties 4

Jun Ding

45 papers receiving 1.5k citations

Jun Ding's Hit Papers

Convolutional Neural Network With Data Augmentation for SAR Target Recognition 2016 · 630 citations
6300+3+6Years since publication200400600

Peers

Jun Ding
Comparison fields: 5 of 86
  • Aerospace Engineering 628
  • Computer Vision and Pattern Recognition 269
  • Media Technology 72
  • Materials Chemistry 209
  • Mechanical Engineering 117
Replace Xiaoxue Chen with:
Xiaoxue Chen China
Mustafa Ünel Türkiye
Keyan Wang China
Quan Zhang China
Jiale Zhu China
Yanhui Wang China
Jong‐Woong Park South Korea
Gerald Seet Singapore
Jun Ding relative to Xiaoxue Chen China Xiaoxue Chen's profile →
Citations per field
00.5×10×20×30×35.3×
Xiaoxue Chen · 1×
Citations per year

Countries citing papers authored by Jun Ding

Since Specialization
Citations

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

Fields of papers citing papers by Jun Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Convolutional Neural Network With Data Augmentation for SAR Target Recognition
Hit paper breakdown →
2016630
2 2022131
3 201790
4 202388
5 201276
6 200349
7 201949
8 201843
9 201542
10 201841
11 201825
12 202023
13 201821
14 202218
15 201717
16 200916
17 202016
18 202215
19 200914
20 202114

About Jun Ding

Jun Ding is a scholar working on Aerospace Engineering, Materials Chemistry, Mechanics of Materials, Building and Construction and Computer Vision and Pattern Recognition, having authored 50 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced SAR Imaging Techniques (8 papers), High-Temperature Coating Behaviors (6 papers), High-Velocity Impact and Material Behavior (4 papers), Microstructure and mechanical properties (4 papers), Robotic Path Planning Algorithms (3 papers), Structural Behavior of Reinforced Concrete (3 papers), Soft Robotics and Applications (2 papers) and Numerical methods in engineering (2 papers). The work is most often cited by research in Aerospace Engineering (628 citations), Computer Vision and Pattern Recognition (269 citations), Media Technology (72 citations), Materials Chemistry (209 citations) and Mechanical Engineering (117 citations). Jun Ding has collaborated with scholars based in China, South Korea and Japan. Frequent co-authors include Hongwei Liu, Bo Chen, Shiqing Lu, Xia Huang, Xiangguo Zeng, Xia Huang, Fang Wang, Lan Du, Chen Li and Xin Yuan Yang. Their work appears in journals such as Computational Materials Science, Surface and Coatings Technology, Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science, IEEE Robotics and Automation Letters and Polymers.

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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