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Zhu-Hong You

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 69 1987 1925 272 269 326 17102

Zhu-Hong You publications per year

The chart shows the history of publications by Zhu-Hong You between 2007 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Zhu-Hong You published across 19 years, from 2007 to 2025, averaging 21.2 papers a year. Output peaked at 67 publications in 2020. 54 of the 402 publications appeared in the last two years.

No. of publications
20 40 60
Bar chart. Horizontal axis: year, 2007 to 2025. Vertical axis: number of publications, 0 to 67. Peak 67 publications in 2020. 2007: 5 publications 2008: 3 publications 2009: 1 publication 2010: 6 publications 2011: 0 publications 2012: 3 publications 2013: 8 publications 2014: 7 publications 2015: 10 publications 2016: 23 publications 2017: 29 publications 2018: 28 publications 2019: 44 publications 2020: 67 publications 2021: 42 publications 2022: 43 publications 2023: 29 publications 2024: 25 publications 2025: 29 publications
2007 2025

402 publications in total across all disciplines

View publications per year as a table
Zhu-Hong You: publications per year, 2007 to 2025
Year Publications
2007 5
2008 3
2009 1
2010 6
2011 0
2012 3
2013 8
2014 7
2015 10
2016 23
2017 29
2018 28
2019 44
2020 67
2021 42
2022 43
2023 29
2024 25
2025 29
Total 402
Download as CSV

Zhu-Hong You 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 Zhu-Hong You 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, 322–331 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: 326 publications — 78th percentile

78% 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
322–331 206 326
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

Zhu-Hong You 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 Zhu-Hong You 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, 68–69 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: 69 D-Index — 87th percentile

87% 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
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213 69
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

Zhu-Hong You is affiliated with the Chinese Academy of Sciences in China. Their research spans multiple areas within biochemistry, genetics, molecular biology, and computer science, focusing predominantly on molecular biology and computational methods in biomedicine.

The primary fields of study for Zhu-Hong You include:

  • Biochemistry, Genetics and Molecular Biology
  • Computer Science

Their work dives deeper into specific subfields such as:

  • Molecular Biology
  • Cancer Research
  • Computational Theory and Mathematics
  • Computer Vision and Pattern Recognition
  • Materials Chemistry

Research topics Zhu-Hong You has frequently contributed to include:

  • Cancer-related molecular mechanisms research
  • MicroRNA in disease regulation
  • Computational Drug Discovery Methods
  • Bioinformatics and Genomic Networks
  • Circular RNAs in diseases
  • Machine Learning in Bioinformatics
  • RNA modifications and cancer

Some of the recent papers by Zhu-Hong You are:

  • Graph representation learning in bioinformatics: trends, methods and applications, 2021, Briefings in Bioinformatics
  • A survey on computational models for predicting protein-protein interactions, 2021, Briefings in Bioinformatics
  • HINGRL: predicting drug-disease associations with graph representation learning on heterogeneous information networks, 2021, Briefings in Bioinformatics
  • A deep learning-based method for drug-target interaction prediction based on long short-term memory neural network, 2020, BMC Medical Informatics and Decision Making
  • GCNCDA: A new method for predicting circRNA-disease associations based on Graph Convolutional Network Algorithm, 2020, PLoS Computational Biology

Zhu-Hong You has collaborated extensively with several frequent co-authors including:

  • Lei Wang
  • Yu-An Huang
  • Lun Hu
  • Bo-Wei Zhao
  • Leon Wong

Their publications appear mostly in well-recognized venues such as:

  • Briefings in Bioinformatics
  • IEEE Journal of Biomedical and Health Informatics
  • BMC Bioinformatics
  • IEEE/ACM Transactions on Computational Biology and Bioinformatics
  • Biology

Best Publications

  • MicroRNAs and complex diseases: from experimental results to computational models.

    Xing Chen;Di Xie;Qi Zhao;Zhu-Hong You

  • Long non-coding RNAs and complex diseases: from experimental results to computational models

    Xing Chen;Chenggang Clarence Yan;Xu Zhang;Zhu-Hong You

  • PBMDA: A novel and effective path-based computational model for miRNA-disease association prediction.

    Zhu-Hong You;Zhi-An Huang;Zexuan Zhu;Gui-Ying Yan

  • WBSMDA: Within and Between Score for MiRNA-Disease Association prediction.

    Xing Chen;Chenggang Clarence Yan;Xu Zhang;Zhu Hong You

  • Prediction of protein-protein interactions from amino acid sequences with ensemble extreme learning machines and principal component analysis

    Zhu-Hong You;Ying-Ke Lei;Lin Zhu;Junfeng Xia

  • A Nonnegative Latent Factor Model for Large-Scale Sparse Matrices in Recommender Systems via Alternating Direction Method

    Xin Luo;MengChu Zhou;Shuai Li;Zhuhong You

  • Leaf image based cucumber disease recognition using sparse representation classification

    Shanwen Zhang;Xiaowei Wu;Zhuhong You;Liqing Zhang

  • BNPMDA: Bipartite Network Projection for MiRNA-Disease Association prediction.

    Xing Chen;Di Xie;Lei Wang;Qi Zhao

  • A novel approach based on KATZ measure to predict associations of human microbiota with non-infectious diseases

    Xing Chen;Yu-An Huang;Zhu-Hong You;Gui-Ying Yan

  • Using manifold embedding for assessing and predicting protein interactions from high-throughput experimental data

    Zhu-Hong You;Ying-Ke Lei;Jie Gui;De-Shuang Huang

  • Incorporation of Efficient Second-Order Solvers Into Latent Factor Models for Accurate Prediction of Missing QoS Data

    Xin Luo;MengChu Zhou;Shuai Li;YunNi Xia

  • HGIMDA: Heterogeneous graph inference for miRNA-disease association prediction

    Xing Chen;Chenggang Clarence Yan;Xu Zhang;Zhu-Hong You

  • Plant diseased leaf segmentation and recognition by fusion of superpixel, K-means and PHOG

    Shanwen Zhang;Haoxiang Wang;Haoxiang Wang;Wenzhun Huang;Zhuhong You

  • DroidDet: Effective and robust detection of android malware using static analysis along with rotation forest model

    Hui-Juan Zhu;Zhu-Hong You;Ze-Xuan Zhu;Wei-Lei Shi

  • ACP-DL: A Deep Learning Long Short-Term Memory Model to Predict Anticancer Peptides Using High-Efficiency Feature Representation.

    Hai-Cheng Yi;Zhu-Hong You;Xi Zhou;Li Cheng

  • Graph representation learning in bioinformatics: trends, methods and applications.

    Hai-Cheng Yi;Zhu-Hong You;De-Shuang Huang;Chee Keong Kwoh

  • IRWRLDA: improved random walk with restart for lncRNA-disease association prediction.

    Xing Chen;Zhu-Hong You;Gui-Ying Yan;Dun-Wei Gong

  • MCMDA: Matrix completion for MiRNA-disease association prediction

    Jian-Qiang Li;Zhi-Hao Rong;Xing Chen;Gui-Ying Yan

  • A Computational-Based Method for Predicting Drug-Target Interactions by Using Stacked Autoencoder Deep Neural Network.

    Lei Wang;Zhu-Hong You;Xing Chen;Shi-Xiong Xia

  • HINGRL: predicting drug-disease associations with graph representation learning on heterogeneous information networks

    Unknown

  • Prediction of protein-protein interactions from amino acid sequences using a novel multi-scale continuous and discontinuous feature set

    Zhu-Hong You;Lin Zhu;Chun-Hou Zheng;Hong-Jie Yu

  • Predicting protein-protein interactions from primary protein sequences using a novel multi-scale local feature representation scheme and the random forest.

    Zhu-Hong You;Keith C. C. Chan;Pengwei Hu

Frequent Co-Authors

Xing Chen
Xing Chen Jiangnan University
De-Shuang Huang
De-Shuang Huang Tongji University
Shuai Li
Shuai Li University of Oulu
Lei Wang
Lei Wang University of Wollongong
Keith C. C. Chan
Keith C. C. Chan Hong Kong Polytechnic University
Jianqiang Li
Jianqiang Li Beijing University of Technology
Xin Luo
Xin Luo Chinese Academy of Sciences
Zexuan Zhu
Zexuan Zhu Shenzhen University
MengChu Zhou
MengChu Zhou New Jersey Institute of Technology
Yunni Xia
Yunni Xia Indiana University

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Best Scientists Citing Zhu-Hong You

Shuai Li

Shuai Li

University of Oulu

Publications: 64

Xin Luo

Xin Luo

Chinese Academy of Sciences

Publications: 52

MengChu Zhou

MengChu Zhou

New Jersey Institute of Technology

Publications: 41

Xing Chen

Xing Chen

Jiangnan University

Publications: 40

Long Jin

Long Jin

Lanzhou University

Publications: 34

Mingsheng Shang

Mingsheng Shang

Chinese Academy of Sciences

Publications: 29

De-Shuang Huang

De-Shuang Huang

Tongji University

Publications: 28

Jijun Tang

Jijun Tang

University of South Carolina

Publications: 25

Quan Zou

Quan Zou

University of Electronic Science and Technology of China

Publications: 24

Fang-Xiang Wu

Fang-Xiang Wu

University of Saskatchewan

Publications: 20

Chun-Hou Zheng

Chun-Hou Zheng

Qufu Normal University

Publications: 18

Jianqiang Li

Jianqiang Li

Beijing University of Technology

Publications: 17

Jianxin Wang

Jianxin Wang

Central South University

Publications: 16

Jiangning Song

Jiangning Song

Monash University

Publications: 15

Dong-Qing Wei

Dong-Qing Wei

Shanghai Jiao Tong University

Publications: 13

Qinghua Cui

Qinghua Cui

Peking University

Publications: 12

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