World's Best Scientists 2026 revealed!
Ya-Qiu Jin

Ya-Qiu Jin

D-Index & Metrics

Computer Science

D-Index
32
Citations
6557
World Ranking
12938
National Ranking
1590

Ya-Qiu Jin publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Ya-Qiu Jin sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 273 publications — 68th percentile

68% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Ya-Qiu Jin D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Ya-Qiu Jin sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Ya-Qiu Jin is affiliated with Fudan University in China and primarily works within the fields of engineering and physics and astronomy. Their research output extensively covers aerospace engineering and electrical and electronic engineering, along with atomic and molecular physics and computational mechanics as noted subfields.

The scientist's main topics of work include:

  • Synthetic Aperture Radar (SAR) Applications and Techniques
  • Advanced SAR Imaging Techniques
  • Planetary Science and Exploration
  • Advanced Antenna and Metasurface Technologies
  • Electromagnetic Scattering and Analysis
  • Microwave Imaging and Scattering Analysis
  • Metamaterials and Metasurfaces Applications

Ya-Qiu Jin has published extensively in several prominent venues, notably:

  • IEEE Transactions on Geoscience and Remote Sensing
  • IEEE Transactions on Antennas and Propagation
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • IEEE Geoscience and Remote Sensing Letters
  • arXiv (Cornell University)

Recent papers authored or co-authored by Ya-Qiu Jin include:

  • "L(1/2) Regularization for ISAR Imaging and Target Enhancement of Complex Image," 2020, published in IEEE Transactions on Geoscience and Remote Sensing
  • "Synthetic Aperture Radar Image Statistical Modeling: Part One-Single-Pixel Statistical Models," 2020, published in IEEE Geoscience and Remote Sensing Magazine
  • "Reciprocal translation between SAR and optical remote sensing images with cascaded-residual adversarial networks," 2021, published in Science China Information Sciences
  • "A 2-bit Reconfigurable Metasurface With Real-Time Control for Deflection, Diffusion, and Polarization," 2023, published in IEEE Transactions on Antennas and Propagation
  • "Learning to Generate SAR Images With Adversarial Autoencoder," 2021, published in IEEE Transactions on Geoscience and Remote Sensing

The scientist frequently collaborates with several co-authors, including Feng Xu, Niutao Liu, Haiyang Fu, Guo-Min Yang, and Yun Sui.

Best Publications

  • Target Classification Using the Deep Convolutional Networks for SAR Images

    Sizhe Chen;Haipeng Wang;Feng Xu;Ya-Qiu Jin

  • Complex-Valued Convolutional Neural Network and Its Application in Polarimetric SAR Image Classification

    Zhimian Zhang;Haipeng Wang;Feng Xu;Ya-Qiu Jin

  • Polarimetric SAR Image Classification Using Deep Convolutional Neural Networks

    Yu Zhou;Haipeng Wang;Feng Xu;Ya-Qiu Jin

  • Electromagnetic Scattering Modelling for Quantitative Remote Sensing

    Ya-Qiu Jin

  • L(1/2) Regularization for ISAR Imaging and Target Enhancement of Complex Image

    Anwen Wu;Yumao Wu;Yaqiu Jin;Yaru Wang

  • Deorientation theory of polarimetric scattering targets and application to terrain surface classification

    Feng Xu;Ya-Qiu Jin

  • Bidirectional Analytic Ray Tracing for Fast Computation of Composite Scattering From Electric-Large Target Over a Randomly Rough Surface

    Feng Xu;Ya-Qiu Jin

  • Automatic Reconstruction of Building Objects From Multiaspect Meter-Resolution SAR Images

    Feng Xu;Ya-Qiu Jin

  • Quantitative estimation of helium-3 spatial distribution in the lunar regolith layer

    Wenzhe Fa;Ya-Qiu Jin

  • A primary analysis of microwave brightness temperature of lunar surface from Chang-E 1 multi-channel radiometer observation and inversion of regolith layer thickness

    Wenzhe Fa;Ya-Qiu Jin

  • Imaging Simulation of Polarimetric SAR for a Comprehensive Terrain Scene Using the Mapping and Projection Algorithm

    Feng Xu;Ya-Qiu Jin

  • Parameterization of the tapered incident wave for numerical simulation of electromagnetic scattering from rough surface

    Hongxia Ye;Ya-Qiu Jin

  • Inversion of surface parameters from passive microwave measurements over a soybean field

    Jean-Pierre Wigneron;Yann Kerr;André Chanzy;Ya-Qiu Jin

  • Application of deep-learning algorithms to MSTAR data

    Haipeng Wang;Sizhe Chen;Feng Xu;Ya-Qiu Jin

  • The finite-element method with domain decomposition for electromagnetic bistatic scattering from the comprehensive model of a ship on and a target above a large-scale rough sea surface

    Peng Liu;Ya-Qiu Jin

  • Bistatic Scattering From a Three-Dimensional Object Over a Randomly Rough Surface Using the FDTD Algorithm

    Lei Kuang;Ya-Qiu Jin

  • A Hybrid Analytic-Numerical Algorithm of Scattering From an Object Above a Rough Surface

    Hongxia Ye;Ya-Qiu Jin

  • Fast iterative approach to difference scattering from the target above a rough surface

    Hongxia Ye;Ya-Qiu Jin

  • Biomass retrieval from high-dimensional active/passive remote sensing data by using artificial neural networks

    Y.-Q. Jin;C. Liu

  • Suspended sediment concentrations in the Yangtze River estuary retrieved from the CMODIS data

    Z. Han;Y.‐Q. Jin;C.‐X. Yun

  • Reciprocal translation between SAR and optical remote sensing images with cascaded-residual adversarial networks

    Shilei Fu;Feng Xu;Ya-Qiu Jin

  • Aspects of radar imaging using frequency-stepped chirp signals

    Qun Zhang;Ya-Qiu Jin

  • Analysis of the Effects of Faraday Rotation on Spaceborne Polarimetric SAR Observations at $\hbox{P}$ -Band

    Ren-Yuan Qi;Ya-Qiu Jin

  • A Backscattering Model of Rainfall Over Rough Sea Surface for Synthetic Aperture Radar

    Feng Xu;Xiaofeng Li;Peng Wang;Jingsong Yang

  • Synthetic Aperture Radar Image Statistical Modeling: Part One-Single-Pixel Statistical Models

    Dong-Xiao Yue;Feng Xu;Alejandro C. Frery;Ya-Qiu Jin

  • Three-Dimensional Reconstruction From a Multiview Sequence of Sparse ISAR Imaging of a Space Target

    Feng Wang;Feng Xu;Ya-Qiu Jin

Frequent Co-Authors

K. Kinoshita
K. Kinoshita University of Cincinnati
L. E. Piilonen
L. E. Piilonen Virginia Tech
S. Ogawa
S. Ogawa Toho University

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