World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 53 4872 4737 145 144 320 10091

Xue Li publications per year

The chart shows the history of publications by Xue Li between 1996 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Xue Li published across 31 years, from 1996 to 2026, averaging 27.6 papers a year. Output peaked at 157 publications in 2023. 99 of the 855 publications appeared in the last two years.

No. of publications
50 100 150
Bar chart. Horizontal axis: year, 1996 to 2026. Vertical axis: number of publications, 0 to 157. Peak 157 publications in 2023. 1996: 1 publication 1997: 0 publications 1998: 0 publications 1999: 0 publications 2000: 0 publications 2001: 2 publications 2002: 3 publications 2003: 9 publications 2004: 14 publications 2005: 16 publications 2006: 21 publications 2007: 13 publications 2008: 12 publications 2009: 14 publications 2010: 9 publications 2011: 17 publications 2012: 13 publications 2013: 26 publications 2014: 17 publications 2015: 10 publications 2016: 24 publications 2017: 21 publications 2018: 31 publications 2019: 26 publications 2020: 20 publications 2021: 14 publications 2022: 131 publications 2023: 157 publications 2024: 135 publications 2025: 96 publications 2026: 3 publications
1996 2026

855 publications in total across all disciplines

View publications per year as a table
Xue Li: publications per year, 1996 to 2026
Year Publications
1996 1
1997 0
1998 0
1999 0
2000 0
2001 2
2002 3
2003 9
2004 14
2005 16
2006 21
2007 13
2008 12
2009 14
2010 9
2011 17
2012 13
2013 26
2014 17
2015 10
2016 24
2017 21
2018 31
2019 26
2020 20
2021 14
2022 131
2023 157
2024 135
2025 96
2026 3
Total 855
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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.

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, 312–321 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: 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.

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
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
312–321 238 320
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
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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.

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, 52–53 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: 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.

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
46–47 689
48–49 543
50–51 543
52–53 518 53
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
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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

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