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Danfeng Hong
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Rising Stars
2025

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Rising Stars 60 159 159 52 52 184 14399
Computer Science 68 2061 1996 285 282 303 21706

Danfeng Hong publications per year

The chart shows the history of publications by Danfeng Hong between 1997 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Danfeng Hong published across 30 years, from 1997 to 2026, averaging 11.6 papers a year. Output peaked at 62 publications in 2024. 54 of the 349 publications appeared in the last two years.

No. of publications
20 40 60
Bar chart. Horizontal axis: year, 1997 to 2026. Vertical axis: number of publications, 0 to 62. Peak 62 publications in 2024. 1997: 2 publications 1998: 0 publications 1999: 0 publications 2000: 0 publications 2001: 0 publications 2002: 0 publications 2003: 0 publications 2004: 1 publication 2005: 6 publications 2006: 1 publication 2007: 3 publications 2008: 0 publications 2009: 7 publications 2010: 2 publications 2011: 0 publications 2012: 0 publications 2013: 1 publication 2014: 7 publications 2015: 6 publications 2016: 7 publications 2017: 3 publications 2018: 6 publications 2019: 14 publications 2020: 29 publications 2021: 39 publications 2022: 54 publications 2023: 45 publications 2024: 62 publications 2025: 51 publications 2026: 3 publications
1997 2026

349 publications in total across all disciplines

View publications per year as a table
Danfeng Hong: publications per year, 1997 to 2026
Year Publications
1997 2
1998 0
1999 0
2000 0
2001 0
2002 0
2003 0
2004 1
2005 6
2006 1
2007 3
2008 0
2009 7
2010 2
2011 0
2012 0
2013 1
2014 7
2015 6
2016 7
2017 3
2018 6
2019 14
2020 29
2021 39
2022 54
2023 45
2024 62
2025 51
2026 3
Total 349
Download as CSV

Danfeng Hong 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 Danfeng Hong sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 302–311 publications, is where this scientist sits. 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
32–41 publications 991+

This scientist: 303 publications — 74th percentile

74% of scientists in this discipline score the same or lower.

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

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250 303
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

Danfeng Hong 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 Danfeng Hong sits on this spectrum.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 68–69 D-Index, is where this scientist sits. 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
30–31 D-Index 131+

This scientist: 68 D-Index — 86th percentile

86% of scientists in this discipline score the same or lower.

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

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213 68
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Danfeng Hong is affiliated with the Chinese Academy of Sciences in China. Their research primarily focuses on the intersection of engineering and computer science, with a significant emphasis on media technology and computer vision and pattern recognition. They actively contribute to advancements in the fields of atmospheric science, ecology, and artificial intelligence as well.

The scientist's work covers a range of topics central to remote sensing and image analysis. These include:

  • Remote-Sensing Image Classification
  • Advanced Image Fusion Techniques
  • Remote Sensing and Land Use
  • Advanced Image and Video Retrieval Techniques
  • Remote Sensing in Agriculture
  • Image and Signal Denoising Methods
  • Image Retrieval and Classification Techniques

Danfeng Hong has published extensively, with notable frequent venues including:

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

Their recent papers demonstrate a focus on hyperspectral image classification, multimodal deep learning for remote-sensing imagery, and advanced model architectures incorporating transformers. Key publications include:

  • Graph Convolutional Networks for Hyperspectral Image Classification, 2020, IEEE Transactions on Geoscience and Remote Sensing
  • More Diverse Means Better: Multimodal Deep Learning Meets Remote-Sensing Imagery Classification, 2020, IEEE Transactions on Geoscience and Remote Sensing
  • SpectralFormer: Rethinking Hyperspectral Image Classification with Transformers, 2021, arXiv (Cornell University)
  • SpectralGPT: Spectral Remote Sensing Foundation Model, 2024, IEEE Transactions on Pattern Analysis and Machine Intelligence

Danfeng Hong collaborates frequently with several researchers, indicating stable research partnerships. Their main co-authors include Jocelyn Chanussot, Bing Zhang, Jing Yao, Lianru Gao, and Naoto Yokoya.

Best Publications

  • Graph Convolutional Networks for Hyperspectral Image Classification

    Danfeng Hong;Lianru Gao;Jing Yao;Bing Zhang

  • Graph Convolutional Networks for Hyperspectral Image Classification

    Danfeng Hong;Lianru Gao;Jing Yao;Bing Zhang

  • More Diverse Means Better: Multimodal Deep Learning Meets Remote-Sensing Imagery Classification

    Danfeng Hong;Lianru Gao;Naoto Yokoya;Jing Yao

  • SpectralFormer: Rethinking Hyperspectral Image Classification with Transformers

    Danfeng Hong;Zhu Han;Jing Yao;Lianru Gao

  • More Diverse Means Better: Multimodal Deep Learning Meets Remote Sensing Imagery Classification

    Danfeng Hong;Lianru Gao;Naoto Yokoya;Jing Yao

  • Cascaded Recurrent Neural Networks for Hyperspectral Image Classification

    Renlong Hang;Qingshan Liu;Danfeng Hong;Pedram Ghamisi

  • An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral Unmixing

    Danfeng Hong;Naoto Yokoya;Jocelyn Chanussot;Xiao Xiang Zhu

  • UIU-Net: U-Net in U-Net for Infrared Small Object Detection

    Unknown

  • SpectralGPT: Spectral Remote Sensing Foundation Model

    Unknown

  • Feature Extraction for Hyperspectral Imagery: The Evolution From Shallow to Deep: Overview and Toolbox

    Behnood Rasti;Danfeng Hong;Renlong Hang;Pedram Ghamisi

  • Deep learning in multimodal remote sensing data fusion: A comprehensive review

    Unknown

  • Multimodal Fusion Transformer for Remote Sensing Image Classification

    Unknown

  • Hyperspectral Image Classification—Traditional to Deep Models: A Survey for Future Prospects

    Unknown

  • Cross-city matters: A multimodal remote sensing benchmark dataset for cross-city semantic segmentation using high-resolution domain adaptation networks

    Unknown

  • Progress and Challenges in Intelligent Remote Sensing Satellite Systems

    Unknown

  • Classification of Hyperspectral and LiDAR Data Using Coupled CNNs

    Renlong Hang;Zhu Li;Pedram Ghamisi;Danfeng Hong

  • Convolutional Neural Networks for Multimodal Remote Sensing Data Classification

    Xin Wu;Danfeng Hong;Jocelyn Chanussot

  • Extended Vision Transformer (ExViT) for Land Use and Land Cover Classification: A Multimodal Deep Learning Framework

    Unknown

  • Classification of Hyperspectral and LiDAR Data Using Coupled CNNs

    Renlong Hang;Zhu Li;Pedram Ghamisi;Danfeng Hong

  • ORSIm Detector: A Novel Object Detection Framework in Optical Remote Sensing Imagery Using Spatial-Frequency Channel Features

    Xin Wu;Danfeng Hong;Jiaojiao Tian;Jocelyn Chanussot

  • Multi-feature fusion: Graph neural network and CNN combining for hyperspectral image classification

    Unknown

  • Deep Learning for UAV-based Object Detection and Tracking: A Survey

    Xin Wu;Wei Li;Danfeng Hong;Ran Tao

  • Invariant Attribute Profiles: A Spatial-Frequency Joint Feature Extractor for Hyperspectral Image Classification

    Danfeng Hong;Xin Wu;Pedram Ghamisi;Jocelyn Chanussot

  • Multimodal remote sensing benchmark datasets for land cover classification with a shared and specific feature learning model.

    Danfeng Hong;Jingliang Hu;Jing Yao;Jocelyn Chanussot;Jocelyn Chanussot

  • LRR-Net: An Interpretable Deep Unfolding Network for Hyperspectral Anomaly Detection

    Unknown

  • Learnable manifold alignment (LeMA): A semi-supervised cross-modality learning framework for land cover and land use classification

    Danfeng Hong;Naoto Yokoya;Nan Ge;Jocelyn Chanussot

  • FCCDN: Feature Constraint Network for VHR Image Change Detection

    Unknown

  • X-ModalNet: A semi-supervised deep cross-modal network for classification of remote sensing data

    Danfeng Hong;Danfeng Hong;Naoto Yokoya;Gui-Song Xia;Jocelyn Chanussot;Jocelyn Chanussot

  • CoSpace: Common Subspace Learning From Hyperspectral-Multispectral Correspondences

    Danfeng Hong;Naoto Yokoya;Jocelyn Chanussot;Xiao Xiang Zhu

  • Deep Encoder-Decoder Networks for Classification of Hyperspectral and LiDAR Data

    Danfeng Hong;Lianru Gao;Renlong Hang;Bing Zhang

  • Endmember-Guided Unmixing Network (EGU-Net): A General Deep Learning Framework for Self-Supervised Hyperspectral Unmixing.

    Danfeng Hong;Lianru Gao;Jing Yao;Naoto Yokoya

  • Interpretable Hyperspectral Artificial Intelligence: When nonconvex modeling meets hyperspectral remote sensing

    Danfeng Hong;Wei He;Naoto Yokoya;Jing Yao

  • Invariant Attribute Profiles: A Spatial-Frequency Joint Feature Extractor for Hyperspectral Image Classification

    Danfeng Hong;Xin Wu;Pedram Ghamisi;Jocelyn Chanussot

  • StfNet : A Two-Stream Convolutional Neural Network for Spatiotemporal Image Fusion

    Xun Liu;Chenwei Deng;Jocelyn Chanussot;Danfeng Hong

  • A novel hierarchical approach for multispectral palmprint recognition

    Danfeng Hong;Wanquan Liu;Jian Su;Zhenkuan Pan

Frequent Co-Authors

Jocelyn Chanussot
Jocelyn Chanussot Grenoble Alpes University
Xiao Xiang Zhu
Xiao Xiang Zhu Technical University of Munich
Naoto Yokoya
Naoto Yokoya University of Tokyo
Lianru Gao
Lianru Gao Aerospace Information Research Institute
Bing Zhang
Bing Zhang Chinese Academy of Sciences
Pedram Ghamisi
Pedram Ghamisi Helmholtz-Zentrum Dresden-Rossendorf
Ran Tao
Ran Tao Beijing Institute of Technology
Antonio Plaza
Antonio Plaza University of Extremadura
Qian Du
Qian Du Mississippi State University
Qingshan Liu
Qingshan Liu Nanjing University of Information Science and Technology

External Links

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Best Scientists Citing Danfeng Hong

Xiao Xiang Zhu

Xiao Xiang Zhu

Technical University of Munich

Publications: 31

Pedram Ghamisi

Pedram Ghamisi

Helmholtz-Zentrum Dresden-Rossendorf

Publications: 28

Jocelyn Chanussot

Jocelyn Chanussot

Grenoble Alpes University

Publications: 28

Antonio Plaza

Antonio Plaza

University of Extremadura

Publications: 22

Qian Du

Qian Du

Mississippi State University

Publications: 22

Liangpei Zhang

Liangpei Zhang

Wuhan University

Publications: 19

Jian Kang

Jian Kang

University College London

Publications: 16

Lichao Mou

Lichao Mou

Technical University of Munich

Publications: 15

Lianru Gao

Lianru Gao

Aerospace Information Research Institute

Publications: 12

Uwe Stilla

Uwe Stilla

Technical University of Munich

Publications: 11

Shutao Li

Shutao Li

Hunan University

Publications: 10

Bo Du

Bo Du

Wuhan University

Publications: 10

Licheng Jiao

Licheng Jiao

Xidian University

Publications: 10

Xiaohua Tong

Xiaohua Tong

Tongji University

Publications: 10

Xudong Kang

Xudong Kang

Hunan University

Publications: 10

Jon Atli Benediktsson

Jon Atli Benediktsson

University of Iceland

Publications: 9

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