OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Self-Supervised Monocular Depth Estimation by Direction-aware Cumulative Convolution Network
Wencheng Han, Junbo Yin, Jianbing Shen
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023)
Open Access | Times Cited: 10

Showing 10 citing articles:

IS-Fusion: Instance-Scene Collaborative Fusion for Multimodal 3D Object Detection
Junbo Yin, Jianbing Shen, Runnan Chen, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024), pp. 14905-14915
Closed Access | Times Cited: 15

Self-supervised monocular depth estimation with large kernel attention and dynamic scene perception
Xuezhi Xiang, Yao Wang, Xiaoheng Li, et al.
Journal of Visual Communication and Image Representation (2025), pp. 104413-104413
Closed Access

RE-YOLOv5: Enhancing Occluded Road Object Detection via Visual Receptive Field Improvements
Tianyu Li, Xuanrui Xiong, Yuan Zhang, et al.
Sensors (2025) Vol. 25, Iss. 8, pp. 2518-2518
Open Access

Mining Supervision for Dynamic Regions in Self-Supervised Monocular Depth Estimation
Hoang Chuong Nguyen, Tianyu Wang, Jose M. Álvarez, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 32, pp. 10446-10455
Closed Access | Times Cited: 3

Mono-ViFI: A Unified Learning Framework for Self-supervised Single and Multi-frame Monocular Depth Estimation
Jinfeng Liu, Lingtong Kong, Bo Li, et al.
Lecture notes in computer science (2024), pp. 90-107
Closed Access | Times Cited: 2

Bridging local and global representations for self-supervised monocular depth estimation
Meiling Lin, Gongyan Li, Yuexing Hao
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108277-108277
Closed Access | Times Cited: 1

TinyDepth: Lightweight self-supervised monocular depth estimation based on transformer
Zeyu Cheng, Yi Zhang, Yang Yu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109313-109313
Closed Access | Times Cited: 1

High-Precision Self-supervised Monocular Depth Estimation with Rich-Resource Prior
Wencheng Han, Jianbing Shen
Lecture notes in computer science (2024), pp. 146-162
Closed Access | Times Cited: 1

A 3D Reconstruction Method Based on Homogeneous De Bruijn-Encoded Structured Light
Weimin Li, Songlin Li
Photonics (2024) Vol. 11, Iss. 5, pp. 458-458
Open Access

Self-supervised monocular depth estimation with self-distillation and dense skip connection
Xuezhi Xiang, Wei Li, Yao Wang, et al.
Computer Vision and Image Understanding (2024) Vol. 246, pp. 104048-104048
Closed Access

Page 1

Scroll to top