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OpenAlex Citation Counts

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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:

Multimodal deep learning for robust RGB-D object recognition
Andreas Eitel, Jost Tobias Springenberg, Luciano Spinello, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2015)
Open Access | Times Cited: 520

Showing 1-25 of 520 citing articles:

Volumetric and Multi-view CNNs for Object Classification on 3D Data
Charles R. Qi, Hao Su, Matthias NieBner, et al.
(2016), pp. 5648-5656
Open Access | Times Cited: 1464
Densely Connected Pyramid Dehazing Network
He Zhang, Vishal M. Patel
(2018), pp. 3194-3203
Open Access | Times Cited: 1019
DeepFruits: A Fruit Detection System Using Deep Neural Networks
Inkyu Sa, Zongyuan Ge, Feras Dayoub, et al.
Sensors (2016) Vol. 16, Iss. 8, pp. 1222-1222
Open Access | Times Cited: 945
Deep Continuous Fusion for Multi-sensor 3D Object Detection
Ming Liang, Bin Yang, Shenlong Wang, et al.
Lecture notes in computer science (2018), pp. 663-678
Closed Access | Times Cited: 751
Perception, Planning, Control, and Coordination for Autonomous Vehicles
Scott Pendleton, Hans Andersen, Xinxin Du, et al.
Machines (2017) Vol. 5, Iss. 1, pp. 6-6
Open Access | Times Cited: 521
Object Classification Using CNN-Based Fusion of Vision and LIDAR in Autonomous Vehicle Environment
Hongbo Gao, Bo Cheng, Jianqiang Wang, et al.
IEEE Transactions on Industrial Informatics (2018) Vol. 14, Iss. 9, pp. 4224-4231
Closed Access | Times Cited: 457
Deep Continuous Fusion for Multi-Sensor 3D Object Detection
Ming Liang, Bin Yang, Shenlong Wang, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 421
A Brief Review of Domain Adaptation
Abolfazl Farahani, Sahar Voghoei, Khaled Rasheed, et al.
Transactions on computational science and computational intelligence (2021), pp. 877-894
Closed Access | Times Cited: 346
Progressively Complementarity-Aware Fusion Network for RGB-D Salient Object Detection
Hao Chen, Youfu Li
(2018), pp. 3051-3060
Closed Access | Times Cited: 340
Deep Projective 3D Semantic Segmentation
Felix Järemo Lawin, Martin Danelljan, Patrik Tosteberg, et al.
Lecture notes in computer science (2017), pp. 95-107
Open Access | Times Cited: 324
Semantic Segmentation of Earth Observation Data Using Multimodal and Multi-scale Deep Networks
Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre
Lecture notes in computer science (2017), pp. 180-196
Open Access | Times Cited: 321
High-Resolution Shape Completion Using Deep Neural Networks for Global Structure and Local Geometry Inference
Xiaoguang Han, Zhen Li, Haibin Huang, et al.
(2017), pp. 85-93
Open Access | Times Cited: 314
Deep Learning Advances in Computer Vision with 3D Data
Anastasia Ioannidou, Elisavet Chatzilari, Spiros Nikolopoulos, et al.
ACM Computing Surveys (2017) Vol. 50, Iss. 2, pp. 1-38
Closed Access | Times Cited: 291
ASD-DiagNet: A Hybrid Learning Approach for Detection of Autism Spectrum Disorder Using fMRI Data
Taban Eslami, Vahid Mirjalili, A.C.M. Fong, et al.
Frontiers in Neuroinformatics (2019) Vol. 13
Open Access | Times Cited: 284
Self-Supervised Model Adaptation for Multimodal Semantic Segmentation
Abhinav Valada, Rohit Mohan, Wolfram Burgard
International Journal of Computer Vision (2019) Vol. 128, Iss. 5, pp. 1239-1285
Closed Access | Times Cited: 248
A comprehensive survey of recent trends in deep learning for digital images augmentation
Nour Eldeen M. Khalifa, Mohamed Loey, Seyedali Mirjalili
Artificial Intelligence Review (2021) Vol. 55, Iss. 3, pp. 2351-2377
Open Access | Times Cited: 245
FPNN: Field Probing Neural Networks for 3D Data
Yangyan Li, Sören Pirk, Hao Su, et al.
arXiv (Cornell University) (2016)
Open Access | Times Cited: 216
AdapNet: Adaptive semantic segmentation in adverse environmental conditions
Abhinav Valada, Johan Vertens, Ankit Dhall, et al.
(2017)
Closed Access | Times Cited: 191
Modality Distillation with Multiple Stream Networks for Action Recognition
Nuno Garcia, Pietro Morerio, Vittorio Murino
Lecture notes in computer science (2018), pp. 106-121
Closed Access | Times Cited: 185
A Review on Deep Learning Techniques for 3D Sensed Data Classification
David Griffiths, J. Boehm
Remote Sensing (2019) Vol. 11, Iss. 12, pp. 1499-1499
Open Access | Times Cited: 177
Deep multimodal fusion for semantic image segmentation: A survey
Yifei Zhang, Désiré Sidibé, Olivier Morel, et al.
Image and Vision Computing (2020) Vol. 105, pp. 104042-104042
Open Access | Times Cited: 163
Improved Kiwifruit Detection Using Pre-Trained VGG16 With RGB and NIR Information Fusion
Zhihao Liu, Jingzhu Wu, Longsheng Fu, et al.
IEEE Access (2019) Vol. 8, pp. 2327-2336
Open Access | Times Cited: 157
Specificity-preserving RGB-D Saliency Detection
Tao Zhou, Huazhu Fu, Geng Chen, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021), pp. 4661-4671
Open Access | Times Cited: 155
Real-Time Hybrid Multi-Sensor Fusion Framework for Perception in Autonomous Vehicles
Babak Shahian Jahromi, Theja Tulabandhula, Sabri Cetin
Sensors (2019) Vol. 19, Iss. 20, pp. 4357-4357
Open Access | Times Cited: 151
AUTSL: A Large Scale Multi-Modal Turkish Sign Language Dataset and Baseline Methods
Ozge Mercanoglu Sincan, Hacer Yalım Keleş
IEEE Access (2020) Vol. 8, pp. 181340-181355
Open Access | Times Cited: 148
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