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:

Emotion recognition using hierarchical spatial-temporal learning transformer from regional to global brain
Cheng Cheng, Wenzhe Liu, Lin Feng, et al.
Neural Networks (2024) Vol. 179, pp. 106624-106624
Closed Access | Times Cited: 5

Showing 5 citing articles:

Transformers in EEG Analysis: A Review of Architectures and Applications in Motor Imagery, Seizure, and Emotion Classification
Elnaz Vafaei, Mohammad Hosseini
Sensors (2025) Vol. 25, Iss. 5, pp. 1293-1293
Open Access | Times Cited: 1

A comparative study of time–frequency features based spatio-temporal analysis with varying multiscale kernels for emotion recognition from EEG
Md Raihan Khan, Airin Akter Tania, Mohiuddin Ahmad
Biomedical Signal Processing and Control (2025) Vol. 107, pp. 107826-107826
Closed Access

Knowledge-guided Adaptive Spatial-Temporal Graph Contrastive Learning Framework: Regional Crop Diseases Prediction based on Electronic Medical Records
Chang Xu, Yiding Zhang, Lei Zhao, et al.
Neural Networks (2025) Vol. 189, pp. 107597-107597
Closed Access

HASTF: a hybrid attention spatio-temporal feature fusion network for EEG emotion recognition
Fangzhou Hu, Fei Wang, Jinying Bi, et al.
Frontiers in Neuroscience (2024) Vol. 18
Open Access

EEG-powered cerebral transformer for athletic performance
Qingfeng Sun
Frontiers in Neurorobotics (2024) Vol. 18
Open Access

CIT-EmotionNet: convolution interactive transformer network for EEG emotion recognition
Wei Lu, Lingnan Xia, Tien-Ping Tan, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2610-e2610
Open Access

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