World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
4386
World Ranking
13169
National Ranking
1608

Zhongxuan Luo 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 Zhongxuan Luo 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: 201 publications — 47th percentile

47% of scientists in this discipline score the same or lower.

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

Zhongxuan Luo 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 Zhongxuan Luo 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

Zhongxuan Luo is affiliated with Dalian University of Technology in China. Their research spans multiple areas within computer science and engineering, focusing heavily on image processing and computer vision.

Their work frequently appears in a variety of publication venues, including:

  • arXiv (Cornell University)
  • Computer-Aided Design
  • IEEE Transactions on Circuits and Systems for Video Technology
  • IEEE Transactions on Image Processing
  • IEEE Transactions on Neural Networks and Learning Systems

Luo's primary fields of study are:

  • Computer Science
  • Engineering

The subfields of study they contribute to include:

  • Computer Vision and Pattern Recognition
  • Computational Mechanics
  • Media Technology
  • Computer Graphics and Computer-Aided Design
  • Artificial Intelligence

Main topics covered in Luo's research are:

  • Image Enhancement Techniques
  • Advanced Image Fusion Techniques
  • Advanced Image Processing Techniques
  • Advanced Neural Network Applications
  • Advanced Numerical Analysis Techniques
  • Advanced Vision and Imaging
  • Computational Geometry and Mesh Generation

The scientist has collaborated frequently with the following co-authors:

  • Xin Fan
  • Risheng Liu
  • Na Lei
  • Long Ma
  • Shengfa Wang

Some of their notable recent papers are:

  • "Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection" (2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition)
  • "Real-World Underwater Enhancement: Challenges, Benchmarks, and Solutions Under Natural Light" (2020, IEEE Transactions on Circuits and Systems for Video Technology)
  • "Learning a Deep Multi-Scale Feature Ensemble and an Edge-Attention Guidance for Image Fusion" (2021, IEEE Transactions on Circuits and Systems for Video Technology)
  • "Segment, Magnify and Reiterate: Detecting Camouflaged Objects the Hard Way" (2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition)
  • "Rethinking general underwater object detection: Datasets, challenges, and solutions" (2022, Neurocomputing)

Best Publications

  • Real-World Underwater Enhancement: Challenges, Benchmarks, and Solutions Under Natural Light

    Risheng Liu;Xin Fan;Ming Zhu;Minjun Hou

  • Learning a Deep Multi-scale Feature Ensemble and an Edge-attention Guidance for Image Fusion

    Jinyuan Liu;Xin Fan;Ji Jiang;Risheng Liu

  • User-Guided Deep Anime Line Art Colorization with Conditional Adversarial Networks

    Yuanzheng Ci;Xinzhu Ma;Zhihui Wang;Haojie Li

  • Towards Effective Bug Triage with Software Data Reduction Techniques

    Jifeng Xuan;He Jiang;Yan Hu;Zhilei Ren

  • A Bilevel Integrated Model With Data-Driven Layer Ensemble for Multi-Modality Image Fusion

    Risheng Liu;Jinyuan Liu;Zhiying Jiang;Xin Fan

  • Learning Deep Context-Sensitive Decomposition for Low-Light Image Enhancement.

    Long Ma;Risheng Liu;Jiaao Zhang;Xin Fan

  • Dynamic Context-Sensitive Filtering Network for Video Salient Object Detection

    Miao Zhang;Jie Liu;Yifei Wang;Yongri Piao

  • Learning Aggregated Transmission Propagation Networks for Haze Removal and Beyond

    Risheng Liu;Xin Fan;Minjun Hou;Zhiying Jiang

  • Joint Residual Learning for Underwater Image Enhancement

    Minjun Hou;Risheng Liu;Xin Fan;Zhongxuan Luo

  • Solving the Large Scale Next Release Problem with a Backbone-Based Multilevel Algorithm

    Unknown

  • Efficient Representation and Optimization of TPMS-Based Porous Structures for 3D Heat Dissipation

    Shengfa Wang;Yu Jiang;Jiangbei Hu;Xin Fan

  • Low-Light Image Enhancement via Self-Reinforced Retinex Projection Model

    Unknown

  • Learning With Nested Scene Modeling and Cooperative Architecture Search for Low-Light Vision

    Unknown

  • On the Convergence of Learning-Based Iterative Methods for Nonconvex Inverse Problems

    Risheng Liu;Shichao Cheng;Yi He;Xin Fan

  • Deep Proximal Unrolling: Algorithmic Framework, Convergence Analysis and Applications

    Risheng Liu;Shichao Cheng;Long Ma;Xin Fan

  • Two-Layer Gaussian Process Regression With Example Selection for Image Dehazing

    Xin Fan;Yi Wang;Xianxuan Tang;Renjie Gao

  • Learning Bilevel Layer Priors for Single Image Rain Streaks Removal

    Pan Mu;Jian Chen;Risheng Liu;Xin Fan

  • Knowledge-Driven Deep Unrolling for Robust Image Layer Separation

    Risheng Liu;Zhiying Jiang;Xin Fan;Zhongxuan Luo

  • Learning to Diffuse: A New Perspective to Design PDEs for Visual Analysis

    Risheng Liu;Guangyu Zhong;Junjie Cao;Zhouchen Lin

  • Novel Coplanar Line-Points Invariants for Robust Line Matching Across Views

    Qi Jia;Xinkai Gao;Xin Fan;Zhongxuan Luo

  • Recommending New Features from Mobile App Descriptions

    He Jiang;Jingxuan Zhang;Xiaochen Li;Zhilei Ren

  • A lightweight methodology of 3D printed objects utilizing multi-scale porous structures

    Jiangbei Hu;Shengfa Wang;Yi Wang;Fengqi Li

  • Real-world Underwater Enhancement: Challenges, Benchmarks, and Solutions

    Risheng Liu;Xin Fan;Ming Zhu;Minjun Hou

Frequent Co-Authors

Xin Fan
Xin Fan Dalian University of Technology
Risheng Liu
Risheng Liu Dalian University of Technology
Jiebo Luo
Jiebo Luo University of Rochester
Hao Huang
Hao Huang University of Pennsylvania
Ligang Liu
Ligang Liu University of Science and Technology of China
Zhouchen Lin
Zhouchen Lin Peking University
Jane You
Jane You Hong Kong Polytechnic University
Chin-Chen Chang
Chin-Chen Chang Feng Chia University
Shiguang Shan
Shiguang Shan Chinese Academy of Sciences
Yi Li
Yi Li University of Manchester

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

Pursuing Computer Science in the USA opens many doors, especially with the growing number of online programs. For students who may not have a stellar academic record, exploring a college with low gpa requirements can provide new opportunities to get started on a tech career.

Flexible options like a 1 year computer science degree online allow you to accelerate your studies and enter the workforce quickly. Online degrees also support career-changers looking to transition into tech from other fields.

If you’re interested in connecting your technology skills with environmental impact, consider branching out. There are many jobs for environmental science majors that blend computer science, data analysis, and sustainability. Additionally, some of the environmental engineering schools online offer affordable programs to further broaden your expertise.

No matter your background or interests, these diverse online pathways can help you shape a career that’s both innovative and future-focused.

Best Scientists Citing Zhongxuan Luo

Trending Scientists

Recently Published Articles