World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
7264
World Ranking
9261
National Ranking
570

Po Yang 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 Po Yang 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: 135 publications — 21st percentile

21% of scientists in this discipline score the same or lower.

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

Po Yang 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 Po Yang 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: 40 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Overview

Po Yang is affiliated with the University of Sheffield in the United Kingdom. Their research primarily spans the fields of Computer Science and Medicine, with significant work in various subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Plant Science, Radiology, Nuclear Medicine and Imaging, and Control and Systems Engineering.

The main research topics Po Yang has contributed to include Machine Learning in Healthcare, Smart Agriculture and AI, COVID-19 epidemiological studies, Dementia and Cognitive Impairment Research, Context-Aware Activity Recognition Systems, Parkinson's Disease Mechanisms and Treatments, and Advanced Neural Network Applications.

Po Yang has several frequent coauthors with whom collaborations have been notable in terms of publication counts. These include Yun Yang, Jun Qi, Xulong Wang, Menghui Zhou, and Ping Li.

The scientist's work has appeared repeatedly in several publication venues. The most frequent are IEEE Transactions on Industrial Informatics, bioRxiv (Cold Spring Harbor Laboratory), arXiv (Cornell University), Journal of Industrial Information Integration, and IEEE Internet of Things Journal.

Some recent papers authored by Po Yang include:

  • Automatic Detection and Classification System of Domestic Waste via Multimodel Cascaded Convolutional Neural Network, 2021, IEEE Transactions on Industrial Informatics
  • OFF-eNET: An Optimally Fused Fully End-to-End Network for Automatic Dense Volumetric 3D Intracranial Blood Vessels Segmentation, 2020, IEEE Transactions on Image Processing
  • Quantum-enhanced multiobjective large-scale optimization via parallelism, 2020, Swarm and Evolutionary Computation
  • Fusing multi-scale context-aware information representation for automatic in-field pest detection and recognition, 2020, Computers and Electronics in Agriculture
  • Real-time deep reinforcement learning based vehicle navigation, 2020, Applied Soft Computing

Best Publications

  • Comparison and Modelling of Country-level Microblog User and Activity in Cyber-physical-social Systems Using Weibo and Twitter Data

    Po Yang;Jing Liu;Jun Qi;Yun Yang

  • Efficient Deep CNN-Based Fire Detection and Localization in Video Surveillance Applications

    Khan Muhammad;Jamil Ahmad;Zhihan Lv;Paolo Bellavista

  • Advanced internet of things for personalised healthcare systems

    Jun Qi;Po Yang;Geyong Min;Oliver Amft

  • Epilepsy Seizure Prediction on EEG Using Common Spatial Pattern and Convolutional Neural Network

    Yuan Zhang;Yao Guo;Po Yang;Wei Chen

  • Secure and Robust Fragile Watermarking Scheme for Medical Images

    Abdulaziz Shehab;Mohamed Elhoseny;Khan Muhammad;Arun Kumar Sangaiah

  • Automatic Detection and Classification System of Domestic Waste via Multimodel Cascaded Convolutional Neural Network

    Jiajia Li;Jie Chen;Bin Sheng;Ping Li

  • PestNet: An End-to-End Deep Learning Approach for Large-Scale Multi-Class Pest Detection and Classification

    Liu Liu;Rujing Wang;Chengjun Xie;Po Yang

  • Efficient Object Localization Using Sparsely Distributed Passive RFID Tags

    Po Yang;Wenyan Wu;M. Moniri;C. C. Chibelushi

  • Deep Convolutional Neural Networks for Human Action Recognition Using Depth Maps and Postures

    Aouaidjia Kamel;Bin Sheng;Po Yang;Ping Li

  • Multiobjective 3-D Topology Optimization of Next-Generation Wireless Data Center Network

    Bin Cao;Jianwei Zhao;Po Yang;Yu Gu

  • Examining sensor-based physical activity recognition and monitoring for healthcare using Internet of Things: A systematic review.

    Jun Qi;Jun Qi;Po Yang;Po Yang;Atif Waraich;Zhikun Deng

  • Lifelogging Data Validation Model for Internet of Things Enabled Personalized Healthcare

    Po Yang;Dainius Stankevicius;Vaidotas Marozas;Zhikun Deng

  • OFF-eNET: An Optimally Fused Fully End-to-End Network for Automatic Dense Volumetric 3D Intracranial Blood Vessels Segmentation

    Anam Nazir;Muhammad Nadeem Cheema;Bin Sheng;Huating Li

  • Efficient Particle Filter Localization Algorithm in Dense Passive RFID Tag Environment

    Po Yang;Wenyan Wu

  • Quantum-enhanced multiobjective large-scale optimization via parallelism

    Bin Cao;Shanshan Fan;Jianwei Zhao;Po Yang

  • Cloud-Based Automated Clinical Decision Support System for Detection and Diagnosis of Lung Cancer in Chest CT

    Anum Masood;Po Yang;Bin Sheng;Huating Li

  • An overview of data fusion techniques for Internet of Things enabled physical activity recognition and measure

    Jun Qi;Jun Qi;Po Yang;Lee Newcombe;Xiyang Peng

  • Real-time deep reinforcement learning based vehicle navigation

    Songsang Koh;Bo Zhou;Hui Fang;Po Yang

  • Fusing multi-scale context-aware information representation for automatic in-field pest detection and recognition

    Fangyuan Wang;Fangyuan Wang;Rujing Wang;Chengjun Xie;Po Yang

  • Deep gesture interaction for augmented anatomy learning

    Ahmad Karambakhsh;Aouaidjia Kamel;Bin Sheng;Ping Li

  • A Hybrid Hierarchical Framework for Gym Physical Activity Recognition and Measurement Using Wearable Sensors

    Jun Qi;Po Yang;Martin Hanneghan;Stephen Tang

Frequent Co-Authors

Jos B. T. M. Roerdink
Jos B. T. M. Roerdink University of Groningen
Khan Muhammad
Khan Muhammad Sungkyunkwan University
Zhihan Lyu
Zhihan Lyu Xidian University
Geyong Min
Geyong Min University of Exeter
Li Da Xu
Li Da Xu Old Dominion University
David M. Williams
David M. Williams Brown University
Jing Qin
Jing Qin Hong Kong Polytechnic University
Qiang Yang
Qiang Yang Hong Kong University of Science and Technology
Zaili Yang
Zaili Yang Liverpool John Moores University
Jingting Luo
Jingting Luo Shenzhen University

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