World's Best Scientists 2026 revealed!
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Runmin Cong
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 44 481 481 161 161 90 9364
Computer Science 45 7098 6892 943 937 155 10613

Runmin Cong publications per year

The chart shows the history of publications by Runmin Cong between 2016 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Runmin Cong published across 10 years, from 2016 to 2025, averaging 18.6 papers a year. Output peaked at 44 publications in 2025. 72 of the 186 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 2016 to 2025. Vertical axis: number of publications, 0 to 44. Peak 44 publications in 2025. 2016: 4 publications 2017: 4 publications 2018: 2 publications 2019: 8 publications 2020: 21 publications 2021: 20 publications 2022: 29 publications 2023: 26 publications 2024: 28 publications 2025: 44 publications
2016 2025

186 publications in total across all disciplines

View publications per year as a table
Runmin Cong: publications per year, 2016 to 2025
Year Publications
2016 4
2017 4
2018 2
2019 8
2020 21
2021 20
2022 29
2023 26
2024 28
2025 44
Total 186
Download as CSV

Runmin Cong publications per year - data summary

  • Runmin Cong, a Computer Science scholar from Shandong University, has 186 publications recorded across 10 years, from 2016 to 2025.
  • The oldest publication on record dates to 2016 and the most recent to 2025.
  • The most productive year is 2025, with 44 publications.
  • The least productive year with any output is 2018, with 2 publications.
  • The rate of publication averages 18.6 papers per year over the whole span, or 18.6 per year counting only the 10 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 147 publications, 79% of the career total.
  • Split into equal eras - 2016-2019: 18 publications (4.5 per year); 2020-2023: 96 publications (24.0 per year); 2024-2025: 72 publications (36.0 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Runmin Cong 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 Runmin Cong 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, 152–161 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: 155 publications — 29th percentile

29% 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
152–161 559 155
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

Runmin Cong publication distribution in Computer Science in 2026 - data summary

  • The chart plots the publication count of all 14,188 Computer Science scientists ranked by Research.com in 2026, grouped into 97 ranges running from 32–41 to 991+ publications.
  • Runmin Cong, a Computer Science scholar from Shandong University, records 155 publications - the 29th percentile of the discipline.
  • 29% of ranked Computer Science scientists score the same or lower than Runmin Cong, and about 71% score higher.
  • The median of the discipline falls in the 202–211 publications range, and Runmin Cong ranks below the median.
  • The most crowded range is 142–151 publications, holding 609 scientists (4% of the field).
  • 70% of the field sits in the lowest quarter of the value range (up to 272–281 publications), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 991 publications or more, 100 scientists in all (<1% of the field).

Runmin Cong 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 Runmin Cong 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, 44–45 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: 45 D-Index — 51st percentile

51% 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 45
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
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

Runmin Cong D-index placement in Computer Science in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 14,188 Computer Science scientists ranked by Research.com in 2026, grouped into 52 ranges running from 30–31 to 131+ D-Index.
  • Runmin Cong, a Computer Science scholar from Shandong University, records 45 D-Index - the 51st percentile of the discipline.
  • 51% of ranked Computer Science scientists score the same or lower than Runmin Cong, and about 49% score higher.
  • The median of the discipline falls in the 44–45 D-Index range, and Runmin Cong falls inside that same range.
  • The most crowded range is 36–37 D-Index, holding 990 scientists (7% of the field).
  • 71% of the field sits in the lowest quarter of the value range (up to 54–55 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 131 D-Index or more, 98 scientists in all (<1% of the field).

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Runmin Cong is affiliated with Shandong University in China and has contributed extensively to the field of computer science, with a primary focus on computer vision and pattern recognition. Their research spans advanced techniques in image processing and artificial intelligence, with particular emphasis on visual attention and saliency detection.

The scientist's recent publications include:

  • Global Context-Aware Progressive Aggregation Network for Salient Object Detection, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • Image Dehazing Transformer with Transmission-Aware 3D Position Embedding, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Images, 2020, IEEE Transactions on Image Processing
  • ASIF-Net: Attention Steered Interweave Fusion Network for RGB-D Salient Object Detection, 2020, IEEE Transactions on Cybernetics
  • Underwater Image Enhancement Quality Evaluation: Benchmark Dataset and Objective Metric, 2022, IEEE Transactions on Circuits and Systems for Video Technology

The scientist frequently collaborates with other researchers, with the most common co-authors being:

  • Sam Kwong (55 collaborations)
  • Yao Zhao (49 collaborations)
  • Chongyi Li (21 collaborations)
  • Qingming Huang (17 collaborations)
  • Qiuping Jiang (17 collaborations)

Runmin Cong publishes mainly in venues known for computer vision and multimedia research. Frequent publication venues include:

  • arXiv (Cornell University) with 49 papers
  • IEEE Transactions on Image Processing with 12 papers
  • IEEE Transactions on Multimedia with 10 papers
  • IEEE Transactions on Circuits and Systems for Video Technology with 9 papers
  • IEEE Transactions on Geoscience and Remote Sensing with 5 papers

The primary fields of study for this scientist are squarely within computer science, with extensive work in subfields such as:

  • Computer Vision and Pattern Recognition (204 publications)
  • Media Technology (45 publications)
  • Artificial Intelligence (19 publications)
  • Radiology, Nuclear Medicine and Imaging (13 publications)
  • Cognitive Neuroscience (12 publications)

The main research topics covered by Runmin Cong's work include:

  • Visual Attention and Saliency Detection (96 publications)
  • Advanced Image Fusion Techniques (56 publications)
  • Advanced Image Processing Techniques (54 publications)
  • Advanced Neural Network Applications (52 publications)
  • Image Enhancement Techniques (42 publications)
  • Advanced Image and Video Retrieval Techniques (42 publications)
  • Advanced Vision and Imaging (28 publications)

Best Publications

  • Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement

    Chunle Guo;Chongyi Li;Jichang Guo;Chen Change Loy

  • An Underwater Image Enhancement Benchmark Dataset and Beyond

    Chongyi Li;Chunle Guo;Wenqi Ren;Runmin Cong

  • Underwater Image Enhancement via Medium Transmission-Guided Multi-Color Space Embedding

    Chongyi Li;Saeed Anwar;Junhui Hou;Runmin Cong

  • Underwater Image Enhancement by Dehazing With Minimum Information Loss and Histogram Distribution Prior

    Chong-Yi Li;Ji-Chang Guo;Run-Min Cong;Yan-Wei Pang

  • Image Dehazing Transformer with Transmission-Aware 3D Position Embedding

    Unknown

  • Global Context-Aware Progressive Aggregation Network for Salient Object Detection

    Zuyao Chen;Qianqian Xu;Runmin Cong;Qingming Huang

  • Review of Visual Saliency Detection With Comprehensive Information

    Runmin Cong;Jianjun Lei;Huazhu Fu;Ming-Ming Cheng

  • Nested Network With Two-Stream Pyramid for Salient Object Detection in Optical Remote Sensing Images

    Chongyi Li;Runmin Cong;Junhui Hou;Sanyi Zhang

  • Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Images

    Qijian Zhang;Runmin Cong;Chongyi Li;Ming-Ming Cheng

  • Underwater Image Enhancement Quality Evaluation: Benchmark Dataset and Objective Metric

    Unknown

  • PUGAN: Physical Model-Guided Underwater Image Enhancement Using GAN With Dual-Discriminators

    Unknown

  • Saliency Detection for Stereoscopic Images Based on Depth Confidence Analysis and Multiple Cues Fusion

    Runmin Cong;Jianjun Lei;Changqing Zhang;Qingming Huang

  • ASIF-Net: Attention Steered Interweave Fusion Network for RGB-D Salient Object Detection

    Chongyi Li;Runmin Cong;Sam Kwong;Junhui Hou

  • A hybrid method for underwater image correction

    Chongyi Li;Jichang Guo;Chunle Guo;Runmin Cong

  • CIR-Net: Cross-Modality Interaction and Refinement for RGB-D Salient Object Detection

    Unknown

  • Hierarchical Features Driven Residual Learning for Depth Map Super-Resolution

    Chunle Guo;Chongyi Li;Jichang Guo;Runmin Cong

  • DPANet: Depth Potentiality-Aware Gated Attention Network for RGB-D Salient Object Detection

    Zuyao Chen;Runmin Cong;Qianqian Xu;Qingming Huang

  • WaveNet: Wavelet Network With Knowledge Distillation for RGB-T Salient Object Detection

    Unknown

  • RRNet: Relational Reasoning Network with Parallel Multi-scale Attention for Salient Object Detection in Optical Remote Sensing Images

    Runmin Cong;Yumo Zhang;Leyuan Fang;Jun Li

  • Unsupervised Decomposition and Correction Network for Low-Light Image Enhancement

    Unknown

  • RGB-D Salient Object Detection with Cross-Modality Modulation and Selection

    Chongyi Li;Runmin Cong;Yongri Piao;Qianqian Xu

  • Going From RGB to RGBD Saliency: A Depth-Guided Transformation Model

    Runmin Cong;Jianjun Lei;Huazhu Fu;Junhui Hou

  • PDR-Net: Perception-Inspired Single Image Dehazing Network With Refinement

    Chongyi Li;Chunle Guo;Jichang Guo;Ping Han

  • Co-Saliency Detection for RGBD Images Based on Multi-Constraint Feature Matching and Cross Label Propagation

    Runmin Cong;Jianjun Lei;Huazhu Fu;Qingming Huang

  • Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement

    Chunle Guo;Chongyi Li;Jichang Guo;Chen Change Loy

  • An Iterative Co-Saliency Framework for RGBD Images

    Runmin Cong;Jianjun Lei;Huazhu Fu;Weisi Lin

  • Perceptual hashing for image authentication: A survey

    Ling Du;Anthony T.S. Ho;Anthony T.S. Ho;Anthony T.S. Ho;Runmin Cong

Frequent Co-Authors

Sam Kwong
Sam Kwong Lingnan University
Huazhu Fu
Huazhu Fu Agency for Science, Technology and Research
Qingming Huang
Qingming Huang University of Chinese Academy of Sciences
Yao Zhao
Yao Zhao Beijing Jiaotong University
Junhui Hou
Junhui Hou City University of Hong Kong
Xiaochun Cao
Xiaochun Cao Sun Yat-sen University
Chunping Hou
Chunping Hou Tianjin University
Wenqi Ren
Wenqi Ren Sun Yat-sen University
Weisi Lin
Weisi Lin Nanyang Technological University
Ming-Ming Cheng
Ming-Ming Cheng Nankai University

External Links

Personal website of Runmin Cong

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