Standout Papers

Blind Image Quality Assessment Using a Deep Bilinear Convolutional Neural Network 2018 2026 2020 2023 423
  1. Blind Image Quality Assessment Using a Deep Bilinear Convolutional Neural Network (2018)
    Weixia Zhang, Kede Ma et al. IEEE Transactions on Circuits and Systems for Video Technology

Immediate Impact

59 standout
Sub-graph 1 of 24

Citing Papers

Next Generation Advanced Transceiver Technologies for 6G and Beyond
2025 Standout
Exploring Rich Subjective Quality Information for Image Quality Assessment in the Wild
2025 Standout
1 intermediate paper

Works of Jia Yan being referenced

Blind Image Quality Assessment Using a Deep Bilinear Convolutional Neural Network
2018 Standout

Author Peers

Author Last Decade Papers Cites
Jia Yan 522 283 16 43 25 669
A. Rosenfeld 581 151 34 76 15 793
Shuo Zhang 514 140 41 30 38 632
Joon‐Young Lee 495 125 17 63 35 650
Hui Zeng 583 225 10 48 22 712
Weiwei Qiu 309 158 9 40 41 578
Gaochang Wu 534 173 19 18 21 654
Da Yang 427 107 45 103 35 727
Siu‐Yeung Cho 405 87 15 62 35 590
Jinqiu Sun 699 327 5 47 45 827
Yu Zhu 701 336 4 43 33 789

All Works

Loading papers...

Rankless by CCL
2026