World's Best Scientists 2026 revealed!
Deng-Ping Fan

Deng-Ping Fan

Award Badge
Rising Stars
2025

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Rising Stars 49 336 336 110 110 78 19016
Computer Science 47 6291 6108 839 833 75 20633

Deng-Ping Fan publications per year

The chart shows the history of publications by Deng-Ping Fan between 2013 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Deng-Ping Fan published across 13 years, from 2013 to 2025, averaging 11.7 papers a year. Output peaked at 30 publications in 2024. 51 of the 152 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 2013 to 2025. Vertical axis: number of publications, 0 to 30. Peak 30 publications in 2024. 2013: 1 publication 2014: 0 publications 2015: 0 publications 2016: 0 publications 2017: 1 publication 2018: 3 publications 2019: 7 publications 2020: 13 publications 2021: 25 publications 2022: 22 publications 2023: 29 publications 2024: 30 publications 2025: 21 publications
2013 2025

152 publications in total across all disciplines

View publications per year as a table
Deng-Ping Fan: publications per year, 2013 to 2025
Year Publications
2013 1
2014 0
2015 0
2016 0
2017 1
2018 3
2019 7
2020 13
2021 25
2022 22
2023 29
2024 30
2025 21
Total 152
Download as CSV

Deng-Ping Fan 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 Deng-Ping Fan 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, 72–81 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: 75 publications — 2nd percentile

2% 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 75
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
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

Deng-Ping Fan 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 Deng-Ping Fan 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, 46–47 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: 47 D-Index — 56th percentile

56% 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 47
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
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

Deng-Ping Fan is a researcher affiliated with Nankai University in China, with a primary focus on computer science and related subfields, notably computer vision and pattern recognition, artificial intelligence, radiology, nuclear medicine and imaging, oncology, and cognitive neuroscience.

The scientist's research encompasses multiple specialized topics, including:

  • Visual Attention and Saliency Detection
  • Advanced Image and Video Retrieval Techniques
  • Advanced Neural Network Applications
  • Image Enhancement Techniques
  • Image and Video Quality Assessment
  • Multimodal Machine Learning Applications
  • Medical Image Segmentation Techniques

Deng-Ping Fan has contributed notably to multiple recent publications, such as:

  • "Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images", 2020, IEEE Transactions on Medical Imaging
  • "Rethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale Benchmarks", 2020, IEEE Transactions on Neural Networks and Learning Systems
  • "Concealed Object Detection", 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence

The scientist frequently collaborates with several co-authors, including Ling Shao, Ge-Peng Ji, Luc Van Gool, Ming-Ming Cheng, and Huazhu Fu, reflecting engagement in collaborative projects across multiple research topics.

Publications by Deng-Ping Fan appear often in prominent academic venues, with multiple papers published in:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Machine Intelligence Research
  • Computational Visual Media
  • CAAI Artificial Intelligence Research

The broader corpus of Deng-Ping Fan's work within computer science includes 278 publications, with 237 focusing specifically on computer vision and pattern recognition. This body of work is intertwined with advances in artificial intelligence and its applications to imaging and video analysis, as well as medical imaging techniques and segmentation.

Best Publications

  • Structure-Measure: A New Way to Evaluate Foreground Maps

    Deng-Ping Fan;Ming-Ming Cheng;Yun Liu;Tao Li

  • Enhanced-alignment Measure for Binary Foreground Map Evaluation

    Deng-Ping Fan;Cheng Gong;Yang Cao;Bo Ren

  • PraNet: Parallel Reverse Attention Network for Polyp Segmentation

    Deng-Ping Fan;Ge-Peng Ji;Tao Zhou;Geng Chen

  • EGNet: Edge Guidance Network for Salient Object Detection

    Jiaxing Zhao;Jiang-Jiang Liu;Deng-Ping Fan;Yang Cao

  • Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images

    Deng-Ping Fan;Tao Zhou;Ge-Peng Ji;Yi Zhou

  • Structure-Measure: A New Way to Evaluate Foreground Maps

    Ming-Ming Cheng;Deng-Ping Fan

  • Concealed Object Detection

    Unknown

  • Camouflaged Object Detection

    Deng-Ping Fan;Ge-Peng Ji;Guolei Sun;Ming-Ming Cheng

  • Rethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale Benchmarks

    Deng-Ping Fan;Zheng Lin;Zhao Zhang;Menglong Zhu

  • JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation

    Yu-Huan Wu;Shang-Hua Gao;Jie Mei;Jun Xu

  • Camouflaged Object Segmentation with Distraction Mining

    Haiyang Mei;Ge-Peng Ji;Ziqi Wei;Xin Yang

  • Shifting More Attention to Video Salient Object Detection

    Deng-Ping Fan;Wenguan Wang;Ming-Ming Cheng;Jianbing Shen

  • Simultaneously Localize, Segment and Rank the Camouflaged Objects

    Yunqiu Lv;Jing Zhang;Yuchao Dai;Aixuan Li

  • Contrast Prior and Fluid Pyramid Integration for RGBD Salient Object Detection

    Jia-Xing Zhao;Yang Cao;Deng-Ping Fan;Ming-Ming Cheng

  • UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders

    Jing Zhang;Deng-Ping Fan;Yuchao Dai;Saeed Anwar

  • Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers

    Unknown

  • Salient Objects in Clutter: Bringing Salient Object Detection to the Foreground

    Deng-Ping Fan;Ming-Ming Cheng;Jiang-Jiang Liu;Shang-Hua Gao

  • JL-DCF: Joint Learning and Densely-Cooperative Fusion Framework for RGB-D Salient Object Detection

    Keren Fu;Deng-Ping Fan;Ge-Peng Ji;Qijun Zhao

  • Bilateral Attention Network for RGB-D Salient Object Detection

    Zhao Zhang;Zheng Lin;Jun Xu;Wen-Da Jin

  • Mutual Graph Learning for Camouflaged Object Detection

    Qiang Zhai;Xin Li;Fan Yang;Chenglizhao Chen

  • BBS-Net: RGB-D Salient Object Detection with a Bifurcated Backbone Strategy Network

    Deng-Ping Fan;Yingjie Zhai;Ali Borji;Jufeng Yang

  • RGB-D salient object detection: A survey.

    Tao Zhou;Deng-Ping Fan;Ming-Ming Cheng;Jianbing Shen

  • Re-thinking Co-Salient Object Detection.

    Deng-Ping Fan;Tengpeng Li;Zheng Lin;Ge-Peng Ji

Frequent Co-Authors

Ming-Ming Cheng
Ming-Ming Cheng Nankai University
Jianbing Shen
Jianbing Shen University of Macau
Huazhu Fu
Huazhu Fu Agency for Science, Technology and Research
Ali Borji
Ali Borji Quintic AI
Jun Xu
Jun Xu University of Utah
Paul L. Rosin
Paul L. Rosin Cardiff University
Rongrong Ji
Rongrong Ji Xiamen University
Ling Shao
Ling Shao Terminus International
Yuchao Dai
Yuchao Dai Northwestern Polytechnical University
Qibin Hou
Qibin Hou Nankai University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online education can expand your career options both within and beyond computer science. If affordability is a concern, you may want to investigate the cheapest bachelor's degree online programs. These options can help reduce student debt while still offering a strong academic foundation.

For those interested in technical skills, an online engineering degree can lead to exciting roles in fields like software, hardware, or systems engineering. The flexibility of online courses makes it easier to balance studies with work or family.

Professionals aiming to advance into management may consider affordable online executive mba programs. These degrees are designed to develop business leadership skills that can complement a computer science background.

If your interests span information management or library systems, an mlis degree online cost comparison can guide you toward a career in digital libraries or archiving. Exploring different online pathways gives you the flexibility to tailor your education to your career goals.

Best Scientists Citing Deng-Ping Fan

Trending Scientists

Recently Published Articles