Concepedia

Hybrid Network Models

Hybrid Network Models is a network modeling approach that integrates multiple distinct modeling paradigms—such as deterministic, stochastic, or data-driven methods—within a single unified framework to leverage their complementary strengths in capturing complex system behaviors.

374

Publications

19.8K

Citations

1.3K

Authors

543

Institutions

Publications per year

2017–2026

211

Parents

Publications

374

A hybrid neural network‐first principles approach to process modeling

Dimitris C. Psichogios, Lyle Ungar · AIChE Journal · 1992 · 954 citations

, , +17

CMT: Convolutional Neural Networks Meet Vision Transformers

Jianyuan Guo, Kai Han, Han Wu et al. · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 2022 · 853 citations

, , +14

Conformer: Local Features Coupling Global Representations for Visual Recognition

Zhiliang Peng, Wei Huang, Shanzhi Gu et al. · 2021 IEEE/CVF International Conference on Computer Vision (ICCV) · 2021 · 781 citations

, , +16

Video-based emotion recognition using CNN-RNN and C3D hybrid networks

Fan Yin, Xiangju Lu, Dian Li et al. · 2016 · 559 citations

, , +16

Connectivity in ad-hoc and hybrid networks

Olivier Dousse, Patrick Thiran, M. Hasler · 2003 · 525 citations · Full text

, , +17

1–5 of 374

Authors

1.3K

  1. HH
    Harald Haas

    University of Edinburgh, United Kingdom

    6 publications · 622 citations

    6

    h-index

  2. XL
    Xiang‐Yang Li

    Illinois Institute of Technology, United States

    3 publications · 201 citations

    3

    h-index

  3. KO
    Katia Obraczka

    University of California, Santa Cruz, United States

    3 publications · 138 citations

    3

    h-index

  4. HJ
    Haoliang Jiang

    Carnegie Mellon University, United States

    3 publications · 237 citations

    3

    h-index

  5. YL
    Yong Li

    Hunan University, China

    3 publications · 35 citations

    3

    h-index

1–5 of 1.3K

Institutions

543

  1. Shanghai Jiao Tong University

    Shanghai, China

    8 h-index

    26 publications

    1.3K citations

  2. Tsinghua University

    Beijing, China

    7 h-index

    19 publications

    573 citations

  3. University of Edinburgh

    Edinburgh, United Kingdom

    7 h-index

    18 publications

    1.4K citations

  4. Chinese Academy of Sciences

    Beijing, China

    6 h-index

    16 publications

    1.9K citations

  5. Georgia Institute of Technology

    Atlanta, United States

    5 h-index

    7 publications

    289 citations

  6. Southeast University

    Nanjing, China

    5 h-index

    7 publications

    285 citations

  7. Institut national de recherche en sciences et technologies du numérique

    Le Chesnay-Rocquencourt, France

    5 h-index

    9 publications

    373 citations

  8. Illinois Institute of Technology

    Chicago, United States

    5 h-index

    10 publications

    485 citations

1–8 of 543

Venues

  1. IEEE Access

    9 publications · 245 citations

    10

    h-index

  2. arXiv (Cornell University)

    Repository · 10 publications · 607 citations

    10

    h-index

  3. Sensors

    6 publications · 353 citations

    6

    h-index

  4. 5

    h-index

  5. Applied Sciences

    4 publications · 168 citations

    5

    h-index

1–5