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Irene Yu-Hua Gu

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 37 10535 10238 77 76 239 8340

Irene Yu-Hua Gu publications per year

The chart shows the history of publications by Irene Yu-Hua Gu between 1989 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Irene Yu-Hua Gu published across 37 years, from 1989 to 2025, averaging 7.1 papers a year. Output peaked at 24 publications in 2006. 6 of the 263 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 1989 to 2025. Vertical axis: number of publications, 0 to 24. Peak 24 publications in 2006. 1989: 1 publication 1990: 0 publications 1991: 1 publication 1992: 0 publications 1993: 0 publications 1994: 2 publications 1995: 6 publications 1996: 2 publications 1997: 4 publications 1998: 0 publications 1999: 6 publications 2000: 10 publications 2001: 8 publications 2002: 10 publications 2003: 11 publications 2004: 6 publications 2005: 4 publications 2006: 24 publications 2007: 15 publications 2008: 10 publications 2009: 10 publications 2010: 8 publications 2011: 11 publications 2012: 6 publications 2013: 18 publications 2014: 14 publications 2015: 17 publications 2016: 13 publications 2017: 7 publications 2018: 8 publications 2019: 8 publications 2020: 4 publications 2021: 6 publications 2022: 4 publications 2023: 3 publications 2024: 4 publications 2025: 2 publications
1989 2025

263 publications in total across all disciplines

View publications per year as a table
Irene Yu-Hua Gu: publications per year, 1989 to 2025
Year Publications
1989 1
1990 0
1991 1
1992 0
1993 0
1994 2
1995 6
1996 2
1997 4
1998 0
1999 6
2000 10
2001 8
2002 10
2003 11
2004 6
2005 4
2006 24
2007 15
2008 10
2009 10
2010 8
2011 11
2012 6
2013 18
2014 14
2015 17
2016 13
2017 7
2018 8
2019 8
2020 4
2021 6
2022 4
2023 3
2024 4
2025 2
Total 263
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Irene Yu-Hua Gu 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 Irene Yu-Hua Gu 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, 232–241 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: 239 publications — 59th percentile

59% 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
232–241 423 239
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
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
Download as CSV

Irene Yu-Hua Gu 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 Irene Yu-Hua Gu 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, 36–37 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: 37 D-Index — 27th percentile

27% 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 37
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
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
Download as CSV

Overview

Irene Yu-Hua Gu is affiliated with Chalmers University of Technology in Sweden. Their research primarily spans the fields of Engineering and Computer Science, with a strong emphasis on Electrical and Electronic Engineering, Neurology, and Artificial Intelligence. Their work integrates advanced methodologies within Computer Vision and Pattern Recognition as well as Radiology, Nuclear Medicine, and Imaging.

The main topics of their research focus on Brain Tumor Detection and Classification, Energy Load and Power Forecasting, Radiomics and Machine Learning in Medical Imaging, Power Quality and Harmonics, Glioma Diagnosis and Treatment, Advanced Neural Network Applications, and Machine Fault Diagnosis Techniques.

Frequent co-authors in their work have included Asgeir Store Jakola, Chenjie Ge, Mitchel S. Berger, Muhaddisa Barat Ali, and Georg Widhalm. The scientist has published multiple papers in venues such as Energies, IET Conference Proceedings, IEEE Access, BMC Medical Imaging, and Brain Sciences.

Notable recent papers include:

  • "Enlarged Training Dataset by Pairwise GANs for Molecular-Based Brain Tumor Classification" (2020, IEEE Access)
  • "Deep semi-supervised learning for brain tumor classification" (2020, BMC Medical Imaging)
  • "Domain Mapping and Deep Learning from Multiple MRI Clinical Datasets for Prediction of Molecular Subtypes in Low Grade Gliomas" (2020, Brain Sciences)
  • "Deep Feature Clustering for Seeking Patterns in Daily Harmonic Variations" (2020, IEEE Transactions on Instrumentation and Measurement)
  • "Unsupervised deep learning and analysis of harmonic variation patterns using big data from multiple locations" (2021, Electric Power Systems Research)

These publications reflect a blend of interdisciplinary research combining medical imaging, machine learning, and engineering applications.

Best Publications

  • Signal processing of power quality disturbances

    Math H. J. Bollen;Irene Yu-Hua Gu

  • Statistical modeling of complex backgrounds for foreground object detection

    Liyuan Li;Weimin Huang;Irene Yu-Hua Gu;Qi Tian

  • Foreground object detection from videos containing complex background

    Liyuan Li;Weimin Huang;Irene Y. H. Gu;Qi Tian

  • Expert System for Classification and Analysis of Power System Events

    E. Styvaktakis;M.H.J. Bollen;I.Y.H. Gu

  • Support Vector Machine for Classification of Voltage Disturbances

    P.G.V. Axelberg;Irene Yu-Hua Gu;M.H.J. Bollen

  • Estimating Interharmonics by Using Sliding-Window ESPRIT

    I.Y.-H. Gu;M.H.J. Bollen

  • Bridging the gap between signal and power

    M.H.J. Bollen;I.Y.H. Gu;S. Santoso;M.F. Mcgranaghan

  • Robust Visual Object Tracking Using Multi-Mode Anisotropic Mean Shift and Particle Filters

    Z H Khan;I Y Gu;A G Backhouse

  • An efficient 3D deep convolutional network for Alzheimer's disease diagnosis using MR images

    Karl Backstrom;Mahmood Nazari;Irene Yu-Hua Gu;Asgeir Store Jakola

  • Artificial intelligence and ambient intelligence

    Matjaz Gams;Irene Yu-Hua Gu;Aki Härmä;Andrés Muñoz

  • Classification of underlying causes of power quality disturbances: deterministic versus statistical methods

    Math H. J. Bollen;Irene Y. H. Gu;Peter G. V. Axelberg;Emmanouil Styvaktakis

  • Automatic classification of power system events using RMS voltage measurements

    E. Styvaktakis;M.H.J. Bollen;I.Y.H. Gu

  • Enlarged Training Dataset by Pairwise GANs for Molecular-Based Brain Tumor Classification

    Chenjie Ge;Irene Yu-Hua Gu;Asgeir Store Jakola;Jie Yang

  • Deepside: A general deep framework for salient object detection

    Keren Fu;Qijun Zhao;Irene Yu-Hua Gu;Jie Yang

  • A Robust Transform-Domain Deep Convolutional Network for Voltage Dip Classification

    Azam Bagheri;Irene Y. H. Gu;Math H. J. Bollen;Ebrahim Balouji

  • Foreground object detection in changing background based on color co-occurrence statistics

    Liyuan Li;Weimin Huang;I.Y.H. Gu;Qi Tian

  • Bridge the gap: signal processing for power quality applications

    Irene Yu-Hua Gu;Emmanouil Styvaktakis

  • Deep Learning and Multi-Sensor Fusion for Glioma Classification Using Multistream 2D Convolutional Networks

    Chenjie Ge;Irene Yu-Hua Gu;Asgeir Store Jakola;Jie Yang

  • Wood defect classification based on image analysis and support vector machines

    Irene Yu-Hua Gu;Henrik Andersson;Raul Vicen

  • Deep semi-supervised learning for brain tumor classification.

    Chenjie Ge;Irene Yu-Hua Gu;Asgeir Store Jakola;Jie Yang

  • Object Tracking using Incremental 2D-PCA Learning and ML Estimation

    Tiesheng Wang;I. Y. H. Gu;Pengfei Shi

Frequent Co-Authors

Math Bollen
Math Bollen Luleå University of Technology
Qi Tian
Qi Tian Huawei Technologies (China)
Wei Min Huang
Wei Min Huang Nanyang Technological University
Mats Viberg
Mats Viberg Chalmers University of Technology
Jie Yang
Jie Yang Shanghai Jiao Tong University
Surya Santoso
Surya Santoso The University of Texas at Austin
Fredrik Kahl
Fredrik Kahl Chalmers University of Technology
Yu Qiao
Yu Qiao Chinese Academy of Sciences
Zabih Ghassemlooy
Zabih Ghassemlooy Northumbria University
Gary W. Chang
Gary W. Chang National Chung Cheng University

External Links

Personal website of Irene Yu-Hua Gu

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Best Scientists Citing Irene Yu-Hua Gu

Math Bollen

Math Bollen

Luleå University of Technology

Publications: 68

Thierry Bouwmans

Thierry Bouwmans

University of La Rochelle

Publications: 39

Sri Niwas Singh

Sri Niwas Singh

Atal Bihari Vajpayee Indian Institute of Information Technology and Management

Publications: 16

Deyu Meng

Deyu Meng

Xi'an Jiaotong University

Publications: 14

Surya Santoso

Surya Santoso

The University of Texas at Austin

Publications: 13

Massimo Piccardi

Massimo Piccardi

University of Technology Sydney

Publications: 11

Lei Zhang

Lei Zhang

Hong Kong Polytechnic University

Publications: 11

Wilfried Philips

Wilfried Philips

Ghent University

Publications: 11

Vassilios G. Agelidis

Vassilios G. Agelidis

Democritus University of Thrace

Publications: 10

Bhim Singh

Bhim Singh

Indian Institute of Technology Delhi

Publications: 10

Conrad Sanderson

Conrad Sanderson

Commonwealth Scientific and Industrial Research Organisation

Publications: 10

Walid G. Morsi

Walid G. Morsi

University of Ontario Institute of Technology

Publications: 9

George Bebis

George Bebis

University of Nevada Reno

Publications: 9

Qian Zhao

Qian Zhao

Xi'an Jiaotong University

Publications: 8

Mohamed E. El-Hawary

Mohamed E. El-Hawary

Dalhousie University

Publications: 8

Mohamed Benbouzid

Mohamed Benbouzid

University of Western Brittany

Publications: 8

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