World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
53
Citations
10091
World Ranking
4872
National Ranking
145

Xue Li 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 Xue Li 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: 320 publications — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Xue Li 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 Xue Li 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: 53 D-Index — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2016 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2010 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to pattern recognition and image analysis

Overview

Xue Li is affiliated with the University of Queensland in Australia and has a substantial body of research primarily in the fields of Computer Science and Engineering. Their work spans numerous subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Electrical and Electronic Engineering, and Mechanical Engineering.

The scientist's major research topics include:

  • Topic Modeling
  • Vibrio bacteria research studies
  • Domain Adaptation and Few-Shot Learning
  • Advanced Image Processing Techniques
  • Multimodal Machine Learning Applications
  • Advanced Graph Neural Networks
  • Machine Learning in Bioinformatics

Xue Li has coauthored extensively with several researchers, notable frequent collaborators are:

  • Mao Ye
  • Yiquan Zhang
  • Renfei Lu
  • Miaomiao Zhang
  • Xinjian Yuan

The scientist has published in multiple venues, with the highest number of publications appearing in:

  • SSRN Electronic Journal
  • arXiv (Cornell University)
  • Research Square (Research Square)
  • Journal of Physics Conference Series
  • IEEE Access

Among recent papers, the publications where Xue Li is the primary author include:

  • MCANet: A joint semantic segmentation framework of optical and SAR images for land use classification, 2021, International Journal of Applied Earth Observation and Geoinformation

Other notable recent papers that list Xue Li as an author in collaborative works include:

  • Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications, 2020, IEEE Transactions on Computational Social Systems
  • Therapeutic targets for inflammatory bowel disease: proteome-wide Mendelian randomization and colocalization analyses, 2023, EBioMedicine
  • Integrating gene annotation with orthology inference at scale, 2023, Science
  • Recent applications of machine learning in alloy design: A review, 2023, Materials Science and Engineering R Reports

Xue Li has contributed to book publications under Springer Science+Business Media, with multiple editions titled "Advanced Data Mining and Applications" released in 2022.

The scientist has received recognition through awards including:

  • Fellow of the American Association for the Advancement of Science (AAAS), 2016
  • Fellow of the International Association for Pattern Recognition (IAPR), 2010, awarded for contributions to pattern recognition and image analysis

Best Publications

  • Time weight collaborative filtering

    Yi Ding;Xue Li

  • A survey of sentiment analysis in social media

    Lin Yue;Weitong Chen;Xue Li;Xue Li;Wanli Zuo

  • Call Attention to Rumors: Deep Attention Based Recurrent Neural Networks for Early Rumor Detection

    Tong Chen;Xue Li;Hongzhi Yin;Jun Zhang

  • RFID Data Management: Challenges and Opportunities

    R. Derakhshan;M.E. Orlowska;Xue Li

  • Deep Attention-Based Spatially Recursive Networks for Fine-Grained Visual Recognition

    Lin Wu;Yang Wang;Xue Li;Junbin Gao

  • Where-and-When to Look: Deep Siamese Attention Networks for Video-Based Person Re-Identification

    Lin Wu;Yang Wang;Junbin Gao;Xue Li

  • PME: Projected Metric Embedding on Heterogeneous Networks for Link Prediction

    Hongxu Chen;Hongzhi Yin;Weiqing Wang;Hao Wang

  • Enabling Next-Generation RFID Applications: Solutions and Challenges

    Q.Z. Sheng;Xue Li;S. Zeadally

  • Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications

    Shaoxiong Ji;Shirui Pan;Xue Li;Erik Cambria

  • A Framework for Electricity Price Spike Analysis With Advanced Data Mining Methods

    Jun Hua Zhao;Zhao Yang Dong;Xue Li;Kit Po Wong

  • Electricity market price spike forecast with data mining techniques

    Xin Lu;Zhao Yang Dong;Xue Li

  • Learning Private Neural Language Modeling with Attentive Aggregation

    Shaoxiong Ji;Shirui Pan;Guodong Long;Xue Li

  • Deep adaptive feature embedding with local sample distributions for person re-identification

    Lin Wu;Yang Wang;Junbin Gao;Xue Li

  • What-and-where to match: Deep spatially multiplicative integration networks for person re-identification

    Lin Wu;Yang Wang;Xue Li;Xue Li;Junbin Gao

  • Cyber Physical Power Systems: Architecture,Implementation Techniques and Challenges

    J. Zhao;F. Wen;Y. Xue;X. Li

  • An Effective Approach for Cyberbullying Detection

    Vinita Nahar;Xue Li;Chaoyi Pang

  • Emerging event detection in social networks with location sensitivity

    Sayan Unankard;Xue Li;Mohamed A. Sharaf

  • Abnormal crowd behavior detection using high-frequency and spatio-temporal features

    Bo Wang;Mao Ye;Xue Li;Fengjuan Zhao

  • Compressive Representation for Device-Free Activity Recognition with Passive RFID Signal Strength

    Lina Yao;Quan Z. Sheng;Xue Li;Tao Gu

  • Online human gesture recognition from motion data streams

    Xin Zhao;Xue Li;Chaoyi Pang;Xiaofeng Zhu

  • Recency-based collaborative filtering

    Yi Ding;Xue Li;Maria E. Orlowska

  • Call Attention to Rumors: Deep Attention Based Recurrent Neural Networks for Early Rumor Detection

    Tong Chen;Lin Wu;Xue Li;Jun Zhang

Frequent Co-Authors

Quan Z. Sheng
Quan Z. Sheng Macquarie University
Zhao Yang Dong
Zhao Yang Dong City University of Hong Kong
Lina Yao
Lina Yao Commonwealth Scientific and Industrial Research Organisation
Maria E. Orlowska
Maria E. Orlowska Polish-Japanese Institute of Information Technology
Hongzhi Yin
Hongzhi Yin University of Queensland
Guodong Long
Guodong Long University of Technology Sydney
Dawei Song
Dawei Song The Open University
Zi Huang
Zi Huang University of Queensland
Junhua Zhao
Junhua Zhao Chinese University of Hong Kong, Shenzhen
Xiaojun Chang
Xiaojun Chang University of Technology Sydney

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 Computer Science in the USA opens many doors to related online degrees and career pathways. Students interested in broadening their expertise might consider the increasing popularity of an online physics degree, which provides a strong analytical foundation useful in technology fields.

For those focused on big data and analytics, pursuing a data science degree can lead to lucrative job prospects. Similarly, an online bachelor’s in electrical engineering equips graduates with versatile skills in circuit design, electronics, and embedded systems—all of which complement a background in computer science.

For a faster entry into tech roles, students can also explore easy certifications to get online. These certifications offer recognized credentials that pave the way for well-paying jobs and can often be completed in less time than a traditional degree.

Choosing a pathway that aligns with your interests and the evolving job market can maximize both career satisfaction and financial rewards.

Best Scientists Citing Xue Li

Trending Scientists

Recently Published Articles