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:
Estimation of Deterioration Levels of Transmission Towers via Deep Learning Maximizing Canonical Correlation Between Heterogeneous Features
Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, et al.
IEEE Journal of Selected Topics in Signal Processing (2018) Vol. 12, Iss. 4, pp. 633-644
Closed Access | Times Cited: 22
Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, et al.
IEEE Journal of Selected Topics in Signal Processing (2018) Vol. 12, Iss. 4, pp. 633-644
Closed Access | Times Cited: 22
Showing 22 citing articles:
Interpretable visual transmission lines inspections using pseudo-prototypical part network
Gurmail Singh, Stéfano Frizzo Stefenon, Kin Choong Yow
Machine Vision and Applications (2023) Vol. 34, Iss. 3
Closed Access | Times Cited: 46
Gurmail Singh, Stéfano Frizzo Stefenon, Kin Choong Yow
Machine Vision and Applications (2023) Vol. 34, Iss. 3
Closed Access | Times Cited: 46
Data analysis in visual power line inspection: An in-depth review of deep learning for component detection and fault diagnosis
Xinyu Liu, Xiren Miao, Hao Jiang, et al.
Annual Reviews in Control (2020) Vol. 50, pp. 253-277
Open Access | Times Cited: 57
Xinyu Liu, Xiren Miao, Hao Jiang, et al.
Annual Reviews in Control (2020) Vol. 50, pp. 253-277
Open Access | Times Cited: 57
Power Transmission Line Inspections: Methods, Challenges, Current Status and Usage of Unmanned Aerial Systems
Md. Faiyaz Ahmed, J. C. Mohanta, Anupam Keshari
Journal of Intelligent & Robotic Systems (2024) Vol. 110, Iss. 2
Open Access | Times Cited: 6
Md. Faiyaz Ahmed, J. C. Mohanta, Anupam Keshari
Journal of Intelligent & Robotic Systems (2024) Vol. 110, Iss. 2
Open Access | Times Cited: 6
Segmentation of rust defects on painted steel surfaces by intelligent image analysis
Roman Vorobel, Iryna Ivasenko, Olena Berehulyak, et al.
Automation in Construction (2020) Vol. 123, pp. 103515-103515
Closed Access | Times Cited: 34
Roman Vorobel, Iryna Ivasenko, Olena Berehulyak, et al.
Automation in Construction (2020) Vol. 123, pp. 103515-103515
Closed Access | Times Cited: 34
A Spectral-Spatial Domain-Specific Convolutional Deep Extreme Learning Machine for Supervised Hyperspectral Image Classification
Yu Shen, Liang Xiao, Jianyu Chen, et al.
IEEE Access (2019) Vol. 7, pp. 132240-132252
Open Access | Times Cited: 16
Yu Shen, Liang Xiao, Jianyu Chen, et al.
IEEE Access (2019) Vol. 7, pp. 132240-132252
Open Access | Times Cited: 16
Fault Diagnosis in Power Line Inspection Using Normalized Multihierarchy Embedding Matching
Xinyu Liu, Xiren Miao, Hao Jiang, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-10
Closed Access | Times Cited: 5
Xinyu Liu, Xiren Miao, Hao Jiang, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-10
Closed Access | Times Cited: 5
Foreign Object Detection of Transmission Towers Based on Attention Mechanism
Bin Jin, Fan Bai, Mingjie Liu, et al.
(2024), pp. 1570-1574
Closed Access | Times Cited: 1
Bin Jin, Fan Bai, Mingjie Liu, et al.
(2024), pp. 1570-1574
Closed Access | Times Cited: 1
Review of data analysis in vision inspection of power lines with an in-depth discussion of deep learning technology
Xinyu Liu, Xiren Miao, Hao Jiang, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 10
Xinyu Liu, Xiren Miao, Hao Jiang, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 10
Music Video Recommendation Based on Link Prediction Considering Local and Global Structures of a Network
Yui Matsumoto, Ryosuke Harakawa, Takahiro Ogawa, et al.
IEEE Access (2019) Vol. 7, pp. 104155-104167
Open Access | Times Cited: 7
Yui Matsumoto, Ryosuke Harakawa, Takahiro Ogawa, et al.
IEEE Access (2019) Vol. 7, pp. 104155-104167
Open Access | Times Cited: 7
Correlation-Aware Attention Branch Network Using Multi-Modal Data For Deterioration Level Estimation Of Infrastructures
Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, et al.
2022 IEEE International Conference on Image Processing (ICIP) (2021), pp. 1014-1018
Closed Access | Times Cited: 5
Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, et al.
2022 IEEE International Conference on Image Processing (ICIP) (2021), pp. 1014-1018
Closed Access | Times Cited: 5
Distress Level Classification of Road Infrastructures via CNN Generating Attention Map
Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, et al.
2020 IEEE 2nd Global Conference on Life Sciences and Technologies (LifeTech) (2020), pp. 97-98
Closed Access | Times Cited: 4
Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, et al.
2020 IEEE 2nd Global Conference on Life Sciences and Technologies (LifeTech) (2020), pp. 97-98
Closed Access | Times Cited: 4
Automatic Findings Generation for Distress Images Using In-Context Few-Shot Learning of Visual Language Model Based on Image Similarity and Text Diversity
Yuto Watanabe, Naoki Ogawa, Keisuke Maeda, et al.
Journal of Robotics and Mechatronics (2024) Vol. 36, Iss. 2, pp. 353-364
Open Access
Yuto Watanabe, Naoki Ogawa, Keisuke Maeda, et al.
Journal of Robotics and Mechatronics (2024) Vol. 36, Iss. 2, pp. 353-364
Open Access
Distress Image Retrieval for Infrastructure Maintenance via Self-Trained Deep Metric Learning Using Experts’ Knowledge
Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, et al.
IEEE Access (2021) Vol. 9, pp. 65234-65245
Open Access | Times Cited: 4
Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, et al.
IEEE Access (2021) Vol. 9, pp. 65234-65245
Open Access | Times Cited: 4
Damage‐level classification considering both correlation between image and text data and confidence of attention map
Keisuke Maeda, Naoki Ogawa, Takahiro Ogawa, et al.
Computer-Aided Civil and Infrastructure Engineering (2024)
Closed Access
Keisuke Maeda, Naoki Ogawa, Takahiro Ogawa, et al.
Computer-Aided Civil and Infrastructure Engineering (2024)
Closed Access
Deterioration level estimation via neural network maximizing category-based ordinally supervised multi-view canonical correlation
Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, et al.
Multimedia Tools and Applications (2020) Vol. 80, Iss. 15, pp. 23091-23112
Closed Access | Times Cited: 3
Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, et al.
Multimedia Tools and Applications (2020) Vol. 80, Iss. 15, pp. 23091-23112
Closed Access | Times Cited: 3
Distress Detection in Subway Tunnel Images via Data Augmentation Based on Selective Image Cropping and Patching
Keisuke Maeda, Saya Takada, Tomoki Haruyama, et al.
Sensors (2022) Vol. 22, Iss. 22, pp. 8932-8932
Open Access | Times Cited: 1
Keisuke Maeda, Saya Takada, Tomoki Haruyama, et al.
Sensors (2022) Vol. 22, Iss. 22, pp. 8932-8932
Open Access | Times Cited: 1
Reliable Estimation of Deterioration Levels via Late Fusion Using Multi-View Distress Images for Practical Inspection
Keisuke Maeda, Naoki Ogawa, Takahiro Ogawa, et al.
Journal of Imaging (2021) Vol. 7, Iss. 12, pp. 273-273
Open Access | Times Cited: 1
Keisuke Maeda, Naoki Ogawa, Takahiro Ogawa, et al.
Journal of Imaging (2021) Vol. 7, Iss. 12, pp. 273-273
Open Access | Times Cited: 1
A Trial of Fine-grained Classification of Expert-novice Level Using Bio-signals While Inspecting Subway Tunnels
Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, et al.
2022 IEEE 11th Global Conference on Consumer Electronics (GCCE) (2021), pp. 204-205
Closed Access | Times Cited: 1
Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, et al.
2022 IEEE 11th Global Conference on Consumer Electronics (GCCE) (2021), pp. 204-205
Closed Access | Times Cited: 1
Analysis of Social Trends Related to COVID-19 Pandemic Utilizing Social Media Data
Taisei Hirakawa, Keisuke Maeda, Takahiro Ogawa, et al.
2022 IEEE 11th Global Conference on Consumer Electronics (GCCE) (2021), pp. 43-44
Closed Access | Times Cited: 1
Taisei Hirakawa, Keisuke Maeda, Takahiro Ogawa, et al.
2022 IEEE 11th Global Conference on Consumer Electronics (GCCE) (2021), pp. 43-44
Closed Access | Times Cited: 1
Review of approaches to the detection of defects in power transmission line elements in images in the infrared, ultraviolet and visible spectra
Marina Astapova, Igor Lebedev
Modelirovanie, optimizaciâ i informacionnye tehnologii. (2020) Vol. 8, Iss. 4(31), pp. 36-37
Closed Access
Marina Astapova, Igor Lebedev
Modelirovanie, optimizaciâ i informacionnye tehnologii. (2020) Vol. 8, Iss. 4(31), pp. 36-37
Closed Access
Action Classification Based on LSTM Using First and Third Person Videos of Engineers Inspecting Bridges
Tsuyoshi Masuda, Keisuke Maeda, Ren Togo, et al.
2022 IEEE International Conference on Consumer Electronics - Taiwan (2022), pp. 303-304
Closed Access
Tsuyoshi Masuda, Keisuke Maeda, Ren Togo, et al.
2022 IEEE International Conference on Consumer Electronics - Taiwan (2022), pp. 303-304
Closed Access
Identifying Paintwork Deterioration for Image-based Monitoring of Distribution Towers
Anicetus Odo, S.J. McKenna, David Flynn, et al.
2021 IEEE Power & Energy Society General Meeting (PESGM) (2022), pp. 1-5
Open Access
Anicetus Odo, S.J. McKenna, David Flynn, et al.
2021 IEEE Power & Energy Society General Meeting (PESGM) (2022), pp. 1-5
Open Access
