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:

A Deep Convolutional Neural Network Approach for Static Hand Gesture Recognition
V. Adithya, R. Rajesh
Procedia Computer Science (2020) Vol. 171, pp. 2353-2361
Open Access | Times Cited: 125

Showing 101-125 of 125 citing articles:

Design of Human Machine Interface through vision-based low-cost Hand Gesture Recognition system based on deep CNN
Abir Sen, Tapas Kumar Mishra, Ratnakar Dash
Research Square (Research Square) (2022)
Open Access | Times Cited: 2

Automatic Hand Gesture Recognition with Semantic Segmentation and Deep Learning
Bristy Chanda, Hussain Nyeem
(2022), pp. 1-6
Closed Access | Times Cited: 2

Hand gesture recognition using deep learning
Gayatri Amrutkar, Manasi S. Shinde, Kalyani Thattekar, et al.
AIP conference proceedings (2022) Vol. 2563, pp. 050008-050008
Open Access | Times Cited: 2

The Handie system: Hand signs interaction with autonomous, mobile cyber-physical systems
Anne Håkansson, Mayuresh Shankar Amberkar
Procedia Computer Science (2022) Vol. 207, pp. 3681-3690
Open Access | Times Cited: 1

Static Alphabet American Sign Language Recognition using Convolutional Neural Networks
Diksha Kumari, R. S. Anand
(2022), pp. 1-6
Closed Access | Times Cited: 1

Recognizing Filipino Sign Language with InceptionV3, LSTM, and GRU
Isaiah Tupal, Melvin K. Cabatuan, Michael V. Manguerra
2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM) (2022), pp. 1-5
Closed Access | Times Cited: 1

Hybrid FAST-SIFT-CNN (HFSC) approach for Vision-Based Indian Sign Language Recognition

International Journal of Cognitive Informatics and Natural Intelligence (2021) Vol. 15, Iss. 4
Open Access | Times Cited: 1

Hand Anatomy and Neural Network-Based Recognition for Sign Language
Akansha Tyagi, Sandhya Bansal
IETE Journal of Research (2023) Vol. 70, Iss. 2, pp. 1572-1584
Closed Access

Hand Anatomy and Neural Network Based Recognition of Isolated and Real-Life Words of Indian Sign Language
Akansha Tyagi, Sandhya Bansal
Proceedings in adaptation, learning and optimization (2023), pp. 204-219
Closed Access

Gesture Recognition for Interpretation of Bengali Sign Language using Hyper Parameter Tuning Convolution Neural Network
Tahmina Akter, Muhammad Anwarul, Mohammad Khairul Islam
International Journal of Computer Applications (2023) Vol. 185, Iss. 13, pp. 1-7
Open Access

Yolo Convolutional Neural Network Algorithm for Recognition of Indian Sign Language Gestures
T. Manju, S Padmavathi, Athvik Raj De, et al.
2022 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI) (2023), pp. 1-8
Closed Access

SIT-HANDS: A Novel RGB-D Dataset for Static Hand Gesture Recognition Using Kinect Sensor
N. C. Dayananda Kumar, K. V. Suresh, S. J. Sheela, et al.
(2023), pp. 1-6
Closed Access

Hand Gesture-Based AI System for Accessing Windows Applications
Lakshmi Harika Palivela, V. Premanand, Afruza Begum
Lecture notes in networks and systems (2023), pp. 647-663
Closed Access

An efficient deep learning approach for human hand gesture recognition
Ejaz Ul Haq, Lunchakorn Wuttisittikulkij, Pisit Vanichchanunt
Research Square (Research Square) (2023)
Open Access

Hand Gesture Recognition with Deep Convolutional Neural Networks: A Comparative Study
You Li Chong, Chin Poo Lee, Kian Ming Lim, et al.
(2023), pp. 60-65
Closed Access

Dynamic ISL Word Recognition System using ResNet50 and RNN Deep Learning Models
Naman Bansal, Abhilasha Jain
(2023), pp. 497-500
Closed Access

Gesture recognition algorithm combining ResNet and ShuffleNet
zhengjiang Xie, Lou Li, kunpeng Jia, et al.
(2022), pp. 32-32
Closed Access

Speed Invariant Hand Gesture Recognition System using CNN
Shweta Saboo, Joyeeta Singha, Rabul Hussain Laskar
2022 IEEE 7th International conference for Convergence in Technology (I2CT) (2022), pp. 1-8
Closed Access

Study on A Mechanical Data Glove
Tao Bai, Haiting Di, Linlin Qin, et al.
Academic Journal of Science and Technology (2022) Vol. 3, Iss. 1, pp. 119-121
Open Access

Static Hand Gesture Recognition by RCDT Classifier
Kamrul Hasan, Mehdi Hasan Chowdhury, Naqib Sad Pathan, et al.
(2022), pp. 96-99
Closed Access

One for All: An End-to-End Compact Solution for Hand Gesture Recognition
Monu Verma, Ayushi Gupta, Santosh Kumar Vipparthi
arXiv (Cornell University) (2021)
Closed Access

A Low-cost Deep Neural Network-based Real Time Hand Gesture Recognition System for Home Appliance Control
Yuta Kobayashi, George Lashkia
IEEJ Transactions on Electronics Information and Systems (2021) Vol. 141, Iss. 7, pp. 822-831
Closed Access

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