World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
22622
World Ranking
6977
National Ranking
3055

Xiaolei Huang 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 Xiaolei Huang 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: 160 publications — 31st percentile

31% of scientists in this discipline score the same or lower.

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

Xiaolei Huang 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 Xiaolei Huang 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: 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.

Overview

Xiaolei Huang is affiliated with Pennsylvania State University in the United States. Their research spans multiple fields with a primary focus on computer science and medicine. The scientist's work is mainly concentrated in subfields such as computer vision and pattern recognition, artificial intelligence, radiology, nuclear medicine and imaging, biophysics, and biomedical engineering.

Their research topics cover a range of areas, including generative adversarial networks and image synthesis, advanced vision and imaging, AI in cancer detection, advanced neural network applications, spectroscopy techniques in biomedical and chemical research, human pose and action recognition, and advanced image processing techniques.

Recent publications by Xiaolei Huang include:

  • Selective synthetic augmentation with HistoGAN for improved histopathology image classification, 2020, Medical Image Analysis
  • Shape-Aware Organ Segmentation by Predicting Signed Distance Maps, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • Evaluation of image segmentation techniques for image-based rock property estimation, 2020, Journal of Petroleum Science and Engineering
  • Label-free detection of rare circulating tumor cells by image analysis and machine learning, 2020, Scientific Reports
  • Rapid Biomarker Screening of Alzheimer's Disease by Interpretable Machine Learning and Graphene-Assisted Raman Spectroscopy, 2022, ACS Nano

The scientist has collaborated frequently with colleagues including Yuan Xue, Haomiao Ni, Jiarong Ye, John Volpi, and James Z. Wang.

The majority of Xiaolei Huang's papers have been published in venues such as:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Medical Image Analysis
  • Computational Visual Media
  • Proceedings of the AAAI Conference on Artificial Intelligence

Xiaolei Huang has also contributed to book publications, including a title published by Springer Science+Business Media named "Data Augmentation, Labelling, and Imperfections" in 2022.

Best Publications

  • Global contrast based salient region detection

    Ming-Ming Cheng;Guo-Xin Zhang;Niloy J. Mitra;Xiaolei Huang

  • StackGAN: Text to Photo-Realistic Image Synthesis with Stacked Generative Adversarial Networks

    Han Zhang;Tao Xu;Hongsheng Li

  • AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks

    Tao Xu;Pengchuan Zhang;Qiuyuan Huang;Han Zhang

  • StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks

    Han Zhang;Tao Xu;Hongsheng Li;Shaoting Zhang

  • StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks

    Han Zhang;Tao Xu;Hongsheng Li;Shaoting Zhang

  • Global Contrast Based Salient Region Detection

    Unknown

  • Traffic-Sign Detection and Classification in the Wild

    Zhe Zhu;Dun Liang;Songhai Zhang;Xiaolei Huang

  • SegAN: Adversarial Network with Multi-scale L 1 Loss for Medical Image Segmentation

    Yuan Xue;Tao Xu;Han Zhang;L. Rodney Long

  • SegAN: Adversarial Network with Multi-scale $L_1$ Loss for Medical Image Segmentation

    Yuan Xue;Tao Xu;Han Zhang;Rodney Long

  • SalientShape: group saliency in image collections

    Ming-Ming Cheng;Niloy J. Mitra;Xiaolei Huang;Shi-Min Hu

  • SPDA-CNN: Unifying Semantic Part Detection and Abstraction for Fine-Grained Recognition

    Han Zhang;Tao Xu;Mohamed Elhoseiny;Xiaolei Huang

  • Shape registration in implicit spaces using information theory and free form deformations

    Xiaolei Huang;N. Paragios;D.N. Metaxas

  • RepFinder: finding approximately repeated scene elements for image editing

    Ming-Ming Cheng;Fang-Lue Zhang;Niloy J. Mitra;Xiaolei Huang

  • Segmentation and tracking of cytoskeletal filaments using open active contours

    Matthew B. Smith;Hongsheng Li;Tian Shen;Xiaolei Huang

  • Multimodal Recurrent Model with Attention for Automated Radiology Report Generation

    Yuan Xue;Tao Xu;L. Rodney Long;Zhiyun Xue

  • High Resolution Acquisition, Learning and Transfer of Dynamic 3‐D Facial Expressions

    Yang Wang;Xiaolei Huang;Chan-Su Lee;Song Zhang

  • Multimodal Deep Learning for Cervical Dysplasia Diagnosis

    Tao Xu;Han Zhang;Xiaolei Huang;Shaoting Zhang

  • Learning with dynamic group sparsity

    Junzhou Huang;Xiaolei Huang;Dimitris Metaxas

  • System and method for whole body landmark detection, segmentation and change quantification in digital images

    Xiaolei Huang;Xiang Zhou;Anna Jerebko;Arun Krishnan

  • Simultaneous image transformation and sparse representation recovery

    Junzhou Huang;Xiaolei Huang;D. Metaxas

  • Shape Registration in Implicit Spaces Using Information Theory and

    Xiaolei Huang;Nikos Paragios;Dimitris N. Metaxas

Frequent Co-Authors

Dimitris N. Metaxas
Dimitris N. Metaxas Rutgers, The State University of New Jersey
Yuan Xue
Yuan Xue The Ohio State University
Junzhou Huang
Junzhou Huang The University of Texas at Arlington
Hongsheng Li
Hongsheng Li Chinese University of Hong Kong
Sameer Antani
Sameer Antani National Institutes of Health
Shaoting Zhang
Shaoting Zhang University of Electronic Science and Technology of China
Daniel P. Lopresti
Daniel P. Lopresti Lehigh University
Arun Krishnan
Arun Krishnan Microsoft (United States)
Shi-Min Hu
Shi-Min Hu Tsinghua University
Nikos Paragios
Nikos Paragios CentraleSupélec

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