Jian Dong

3.7k citations
149 papers · 2.2k indexed · 2 hit papers · h-index 21
Topics
Advanced SAR Imaging Techniques (31 papers)Radar Systems and Signal Processing (18 papers)Advanced Neural Network Applications (15 papers)
Partner nations
ChinaSingaporeJapan

In The Last Decade

Jian Dong

133 papers receiving 2.2k citations

Hit Papers

HCP: A Flexible CNN Framework for Multi-Label Image Class...201520262018202220152024100200300400500

Peers

Jian Dong
Comparison fields: 5 of 156
  • Computer Vision and Pattern Recognition 1.1k
  • Artificial Intelligence 568
  • Aerospace Engineering 337
  • Biomedical Engineering 256
  • Computational Mechanics 157
Replace Thomas Schlegl with:
Thomas Schlegl Germany
Francesco Bianconi Italy
Ying Zhao China
Hongyuan Zhang China
Sen Li China
Xiangyang Xu China
Tao Zhang China
You Li China
Jian Dong relative to Thomas Schlegl Germany Thomas Schlegl's profile →
Citations per field
00.5×6.0×
Thomas Schlegl · 1×
Citations per year

Countries citing papers authored by Jian Dong

Since Specialization
Citations

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

Fields of papers citing papers by Jian Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jian Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Jian Dong. A scholar is included among the top collaborators of Jian Dong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jian Dong. Jian Dong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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4 8
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11
Inflammatory Fibroblast‐Like Synoviocyte‐Derived Exosomes Aggravate Osteoarthritis via Enhancing Macrophage Glycolysisbreakdown →
71
12 5
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14 1
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17 22
18 2
19 8
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About Jian Dong

Jian Dong is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Oceanography, having authored 149 papers that have together received 2.2k indexed citations. Recurring topics across this work include Advanced SAR Imaging Techniques (31 papers), Radar Systems and Signal Processing (18 papers) and Advanced Neural Network Applications (15 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Artificial Intelligence (568 citations) and Media Technology (145 citations). Jian Dong has collaborated with scholars based in China, Singapore and Japan. Frequent co-authors include Shuicheng Yan, Wei Xia, Yunchao Wei, Bingbing Ni, Min Lin, Junshi Huang, Yao Zhao, Xiongjun Fu, Xiaodan Liang and Xiaohui Shen. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and The Science of The Total Environment.

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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