World's Best Scientists 2026 revealed!
Rongrong Ji

Rongrong Ji

D-Index & Metrics

Computer Science

D-Index
82
Citations
28414
World Ranking
957
National Ranking
140

Rongrong Ji 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 Rongrong Ji 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: 464 publications — 91st percentile

91% of scientists in this discipline score the same or lower.

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

Rongrong Ji 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 Rongrong Ji 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: 82 D-Index — 94th percentile

94% of scientists in this discipline score the same or lower.

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

Overview

Rongrong Ji is affiliated with Xiamen University in China, focusing primarily on the field of Computer Science. Their research spans multiple subfields, including Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Media Technology, and Radiology, Nuclear Medicine and Imaging.

The main topics addressed in their work cover Advanced Neural Network Applications, Domain Adaptation and Few-Shot Learning, Multimodal Machine Learning Applications, Advanced Image and Video Retrieval Techniques, Video Surveillance and Tracking Methods, Human Pose and Action Recognition, and Advanced Image Processing Techniques.

Their recent published papers include:

  • HGNN+: General Hypergraph Neural Networks (2022), IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Dual-level Collaborative Transformer for Image Captioning (2021), Proceedings of the AAAI Conference on Artificial Intelligence
  • Local Relation Learning for Face Forgery Detection (2021), Proceedings of the AAAI Conference on Artificial Intelligence
  • X-CLIP: End-to-End Multi-grained Contrastive Learning for Video-Text Retrieval (2022), Proceedings of the 30th ACM International Conference on Multimedia
  • Boosting Crowd Counting via Multifaceted Attention (2022), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Frequent co-authors collaborating with Rongrong Ji include:

  • Xiaoshuai Sun
  • Mingbao Lin
  • Liujuan Cao
  • Xiawu Zheng
  • Fei Chao

In terms of publication venues, Rongrong Ji has contributed extensively to:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Multimedia
  • IEEE Transactions on Neural Networks and Learning Systems

Rongrong Ji has also authored several books published by Springer Science+Business Media, including twelve editions of "Pattern Recognition and Computer Vision" released in 2023, with varying citation counts.

Best Publications

  • Supervised hashing with kernels

    Wei Liu;Jun Wang;Rongrong Ji;Yu-Gang Jiang

  • Hypergraph Neural Networks

    Yifan Feng;Haoxuan You;Zizhao Zhang;Rongrong Ji

  • Siamese Box Adaptive Network for Visual Tracking

    Zedu Chen;Bineng Zhong;Guorong Li;Shengping Zhang

  • Large-scale visual sentiment ontology and detectors using adjective noun pairs

    Damian Borth;Rongrong Ji;Tao Chen;Thomas Breuel

  • HRank: Filter Pruning Using High-Rank Feature Map

    Mingbao Lin;Rongrong Ji;Yan Wang;Yichen Zhang

  • 3-D Object Retrieval and Recognition With Hypergraph Analysis

    Yue Gao;Meng Wang;Dacheng Tao;Rongrong Ji

  • RGBD Salient Object Detection: A Benchmark and Algorithms

    Houwen Peng;Bing Li;Weihua Xiong;Weiming Hu

  • GVCNN: Group-View Convolutional Neural Networks for 3D Shape Recognition

    Yifan Feng;Zizhao Zhang;Xibin Zhao;Rongrong Ji

  • Towards Optimal Structured CNN Pruning via Generative Adversarial Learning

    Shaohui Lin;Rongrong Ji;Chenqian Yan;Baochang Zhang

  • Pyramidal Person Re-IDentification via Multi-Loss Dynamic Training

    Feng Zheng;Cheng Deng;Xing Sun;Xinyang Jiang

  • A novel features ranking metric with application to scalable visual and bioinformatics data classification

    Quan Zou;Jiancang Zeng;Liujuan Cao;Rongrong Ji

  • Cross-Modality Person Re-Identification with Generative Adversarial Training.

    Pingyang Dai;Rongrong Ji;Haibin Wang;Qiong Wu

  • Dual-level Collaborative Transformer for Image Captioning.

    Yunpeng Luo;Jiayi Ji;Xiaoshuai Sun;Liujuan Cao

  • AD-Cluster: Augmented Discriminative Clustering for Domain Adaptive Person Re-Identification

    Yunpeng Zhai;Shijian Lu;Qixiang Ye;Xuebo Shan

  • FreeAnchor: Learning to Match Anchors for Visual Object Detection

    Xiaosong Zhang;Fang Wan;Chang Liu;Rongrong Ji

  • Local Relation Learning for Face Forgery Detection

    Shen Chen;Taiping Yao;Yang Chen;Shouhong Ding

  • Multi-Task Collaborative Network for Joint Referring Expression Comprehension and Segmentation

    Gen Luo;Yiyi Zhou;Xiaoshuai Sun;Liujuan Cao

  • Salience-Guided Cascaded Suppression Network for Person Re-Identification

    Xuesong Chen;Canmiao Fu;Yong Zhao;Feng Zheng

  • Discover Cross-Modality Nuances for Visible-Infrared Person Re-Identification

    Qiong Wu;Pingyang Dai;Jie Chen;Chia-Wen Lin

  • RSTNet: Captioning with Adaptive Attention on Visual and Non-Visual Words

    Xuying Zhang;Xiaoshuai Sun;Yunpeng Luo;Jiayi Ji

  • Improved and promising identification of human MicroRNAs by incorporating a high-quality negative set

    Leyi Wei;Minghong Liao;Yue Gao;Rongrong Ji

  • Spectral-Spatial Constraint Hyperspectral Image Classification

    Rongrong Ji;Yue Gao;Richang Hong;Qiong Liu

  • Representative Discovery of Structure Cues for Weakly-Supervised Image Segmentation

    Luming Zhang;Yue Gao;Yingjie Xia;Ke Lu

  • Accelerating convolutional networks via global & dynamic filter pruning

    Shaohui Lin;Rongrong Ji;Yuchao Li;Yongjian Wu

Frequent Co-Authors

Hongxun Yao
Hongxun Yao Harbin Institute of Technology
Feiyue Huang
Feiyue Huang Tencent (China)
Baochang Zhang
Baochang Zhang Beihang University
Yue Gao
Yue Gao Tsinghua University
Yongjian Wu
Yongjian Wu Tencent (China)
Qi Tian
Qi Tian Huawei Technologies (China)
Qixiang Ye
Qixiang Ye Chinese Academy of Sciences
Ling-Yu Duan
Ling-Yu Duan Peking University
Wen Gao
Wen Gao Peking University
Shaozi Li
Shaozi Li Xiamen University

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