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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:

Automatic Speech Recognition (ASR) Systems Applied to Pronunciation Assessment of L2 Spanish for Japanese Speakers
Cristian Tejedor-Garcı́a, Valentín Cardeñoso-Payo, David Escudero-Mancebo
Applied Sciences (2021) Vol. 11, Iss. 15, pp. 6695-6695
Open Access | Times Cited: 12

Showing 12 citing articles:

‘Look, I can speak correctly’: learning vocabulary and pronunciation through websites equipped with automatic speech recognition technology
Muzakki Bashori, Roeland van Hout, Helmer Strik, et al.
Computer Assisted Language Learning (2022) Vol. 37, Iss. 5-6, pp. 1335-1363
Open Access | Times Cited: 43
Identifying the influence of transfer learning method in developing an end-to-end automatic speech recognition system with a low data level
Оrken Mamyrbayev, Keylan Alimhan, Дина Оралбекова, et al.
Eastern-European Journal of Enterprise Technologies (2022) Vol. 1, Iss. 9(115), pp. 84-92
Open Access | Times Cited: 17
Assessing the accuracy of Chinese speech-to-text tools for Chinese as foreign language learners
Yanqing Feng, Ye Tian
Chinese as a Second Language (漢語教學研究—美國中文教師學會學報) The journal of the Chinese Language Teachers Association USA (2025)
Closed Access
Aggregating the evidence of automatic speech recognition research claims in CALL
Dan Nickolai, Emma Schaefer, Paula Figueroa
System (2024) Vol. 121, pp. 103250-103250
Closed Access | Times Cited: 3
End-to-end ASR framework for Indian-English accent: using speech CNN-based segmentation
Ghayas Ahmed, Aadil Ahmad Lawaye
International Journal of Speech Technology (2023)
Closed Access | Times Cited: 1
Improvements in ASR system to access the real-time agricultural commodity prices and weather information in Kannada language/dialects
Thimmaraja Yadava G, B. G. Nagaraja, H. S. Jayanna
Multimedia Tools and Applications (2023)
Closed Access
Noisy Phoneme Recognition Using 2D Convolution Neural Network
Justina Ramonaitė, Gražina Korvel
(2023), pp. 1-6
Closed Access
AUTOMATIC PRONUNCIATION ASSESSMENT IN A FLIPPED CLASSROOM CONTEXT
Hana Vančová
PUPIL International Journal of Teaching Education and Learning (2023) Vol. 7, Iss. 3, pp. 32-49
Open Access
Attention-CNN Combined With Multi-Layer Feature Fusion for English L2 Multi-Granularity Pronunciation Assessment
Jianlei Yang, Aishan Wumaier, Zaokere Kadeer, et al.
(2023), pp. 449-457
Closed Access
An Automatic Speech Segmentation Algorithm of Portuguese based on Spectrogram Windowing
Lap Man Hoi, Yuqi Sun, Sio‐Kei Im
2022 IEEE World AI IoT Congress (AIIoT) (2022), pp. 290-295
Closed Access
Video Anomaly Detection Based on Convolutional Neural Network
Tai-hoon Kim
Asia-pacific Journal of Convergent Research Interchange (2022) Vol. 8, Iss. 11, pp. 73-87
Open Access
Improving Spanish L1 learners' perception and production of Estonian vowels
Katrin Leppik, Cristian Tejedor-Garcı́a, Eva Liina Asu, et al.
(2022), pp. 34-39
Open Access
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