Ya‐Qiu Jin

434 total papers · 7.1k total citations
275 papers, 5.2k citations indexed

About

Ya‐Qiu Jin is a scholar working on Aerospace Engineering, Atomic and Molecular Physics, and Optics and Environmental Engineering. According to data from OpenAlex, Ya‐Qiu Jin has authored 275 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 162 papers in Aerospace Engineering, 57 papers in Atomic and Molecular Physics, and Optics and 54 papers in Environmental Engineering. Recurrent topics in Ya‐Qiu Jin's work include Synthetic Aperture Radar (SAR) Applications and Techniques (77 papers), Electromagnetic Scattering and Analysis (51 papers) and Advanced SAR Imaging Techniques (49 papers). Ya‐Qiu Jin is often cited by papers focused on Synthetic Aperture Radar (SAR) Applications and Techniques (77 papers), Electromagnetic Scattering and Analysis (51 papers) and Advanced SAR Imaging Techniques (49 papers). Ya‐Qiu Jin collaborates with scholars based in China, United States and Germany. Ya‐Qiu Jin's co-authors include Feng Xu, Haipeng Wang, Sizhe Chen, Wenzhe Fa, Zhimian Zhang, Hongxia Ye, Yu Zhou, Guo‐Min Yang, Zhongxin Li and Feng Wang and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, SHILAP Revista de lepidopterología and Applied Physics Letters.

In The Last Decade

Ya‐Qiu Jin

249 papers receiving 5.0k citations

Hit Papers

Target Classification Usi... 2016 2026 2019 2022 2016 2017 2016 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. Target Classification Using the Deep Convolutional Networks for SAR Images
    2016 1.0k citations Sizhe Chen, Haipeng Wang et al. IEEE Transactions on Geoscience and Remote Sensing profile →
  2. Complex-Valued Convolutional Neural Network and Its Application in Polarimetric SAR Image Classification
    2017 504 citations Zhimian Zhang, Haipeng Wang et al. IEEE Transactions on Geoscience and Remote Sensing profile →
  3. Polarimetric SAR Image Classification Using Deep Convolutional Neural Networks
    2016 386 citations Yu Zhou, Haipeng Wang et al. IEEE Geoscience and Remote Sensing Letters profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ya‐Qiu Jin 3.3k 1.1k 722 718 680 275 5.2k
C. Elachi 1.7k 0.5× 579 0.5× 613 0.8× 1.1k 1.6× 228 0.3× 138 4.9k
Marwan Younis 6.4k 2.0× 639 0.6× 524 0.7× 1.6k 2.2× 310 0.5× 232 7.5k
Daniele Riccio 2.2k 0.7× 603 0.6× 652 0.9× 1.3k 1.8× 681 1.0× 245 4.0k
Charles Werner 5.9k 1.8× 1.1k 1.0× 458 0.6× 2.3k 3.2× 375 0.6× 172 9.5k
Akira Ishimaru 1.9k 0.6× 632 0.6× 938 1.3× 712 1.0× 166 0.2× 283 7.7k
Giorgio Franceschetti 2.0k 0.6× 483 0.4× 186 0.3× 591 0.8× 215 0.3× 153 3.2k
Antonio Iodice 2.0k 0.6× 571 0.5× 477 0.7× 1.1k 1.5× 521 0.8× 247 3.5k
R. K. Moore 2.1k 0.6× 761 0.7× 1.3k 1.8× 3.3k 4.6× 151 0.2× 172 6.8k
Maurizio Migliaccio 2.1k 0.7× 578 0.5× 2.4k 3.3× 950 1.3× 334 0.5× 303 5.5k
J. A. Kong 2.3k 0.7× 492 0.4× 623 0.9× 1.6k 2.3× 196 0.3× 224 5.7k

Countries citing papers authored by Ya‐Qiu Jin

Since Specialization
Citations

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

Fields of papers citing papers by Ya‐Qiu Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ya‐Qiu Jin. 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 Ya‐Qiu Jin. The network helps show where Ya‐Qiu Jin may publish in the future.

Co-authorship network of co-authors of Ya‐Qiu Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Ya‐Qiu Jin. A scholar is included among the top collaborators of Ya‐Qiu Jin 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 Ya‐Qiu Jin. Ya‐Qiu Jin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026