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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:

Spontaneous Speech Emotion Recognition Using Multiscale Deep Convolutional LSTM
Shiqing Zhang, Xiaoming Zhao, Qi Tian
IEEE Transactions on Affective Computing (2019) Vol. 13, Iss. 2, pp. 680-688
Open Access | Times Cited: 103

Showing 1-25 of 103 citing articles:

A Hybrid Deep Learning Model With Attention-Based Conv-LSTM Networks for Short-Term Traffic Flow Prediction
Haifeng Zheng, Feng Lin, Xinxin Feng, et al.
IEEE Transactions on Intelligent Transportation Systems (2020) Vol. 22, Iss. 11, pp. 6910-6920
Open Access | Times Cited: 385
Deep learning-based multimodal emotion recognition from audio, visual, and text modalities: A systematic review of recent advancements and future prospects
Shiqing Zhang, Yijiao Yang, Chen Chen, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121692-121692
Closed Access | Times Cited: 73
Increasing Text Filtering Accuracy with Improved LSTM
Wei Dang, Ligao Cai, Mingzhe Liu, et al.
Computing and Informatics (2023) Vol. 42, Iss. 6, pp. 1491-1517
Open Access | Times Cited: 61
An Ultra‐Conductive and Patternable 40 nm‐Thick Polymer Film for Reliable Emotion Recognition
Xiaojia Du, Hai Wang, Yunfei Wang, et al.
Advanced Materials (2024) Vol. 36, Iss. 31
Closed Access | Times Cited: 16
Learning deep multimodal affective features for spontaneous speech emotion recognition
Shiqing Zhang, Tao Xin, Yuelong Chuang, et al.
Speech Communication (2020) Vol. 127, pp. 73-81
Closed Access | Times Cited: 73
Deep learning-based EEG emotion recognition: Current trends and future perspectives
Xiaohu Wang, Yongmei Ren, Ze Luo, et al.
Frontiers in Psychology (2023) Vol. 14
Open Access | Times Cited: 33
A review of multimodal emotion recognition from datasets, preprocessing, features, and fusion methods
Bei Pan, Kaoru Hirota, Zhiyang Jia, et al.
Neurocomputing (2023) Vol. 561, pp. 126866-126866
Closed Access | Times Cited: 33
Multimodal emotion recognition based on audio and text by using hybrid attention networks
Shiqing Zhang, Yijiao Yang, Chen Chen, et al.
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 105052-105052
Closed Access | Times Cited: 29
MTDAN: A Lightweight Multi-Scale Temporal Difference Attention Networks for Automated Video Depression Detection
Shiqing Zhang, Xingnan Zhang, Xiaoming Zhao, et al.
IEEE Transactions on Affective Computing (2023) Vol. 15, Iss. 3, pp. 1078-1089
Closed Access | Times Cited: 24
Cross-Subject Emotion Recognition Brain–Computer Interface Based on fNIRS and DBJNet
Xiaopeng Si, He Huang, Jiayue Yu, et al.
Cyborg and Bionic Systems (2023) Vol. 4
Open Access | Times Cited: 22
Space-Time-Coding Digital Metasurface Element Design Based on State Recognition and Mapping Methods With CNN-LSTM-DNN
Peng Wang, Zhenning Li, Zhaohui Wei, et al.
IEEE Transactions on Antennas and Propagation (2024) Vol. 72, Iss. 6, pp. 4962-4975
Closed Access | Times Cited: 7
Knowledge enhancement for speech emotion recognition via multi-level acoustic feature
Huan Zhao, Nianxin Huang, Haijiao Chen
Connection Science (2024) Vol. 36, Iss. 1
Open Access | Times Cited: 6
E-Skin and Its Advanced Applications in Ubiquitous Health Monitoring
Xidi Sun, Xin Guo, J. Gao, et al.
Biomedicines (2024) Vol. 12, Iss. 10, pp. 2307-2307
Open Access | Times Cited: 6
Survey of deep emotion recognition in dynamic data using facial, speech and textual cues
Tao Zhang, Zhenhua Tan
Multimedia Tools and Applications (2024) Vol. 83, Iss. 25, pp. 66223-66262
Open Access | Times Cited: 5
Speech emotion recognition based on multi-feature speed rate and LSTM
Zijun Yang, Zhen Li, Shi Sheng Zhou, et al.
Neurocomputing (2024) Vol. 601, pp. 128177-128177
Closed Access | Times Cited: 5
Classification of Speech Emotion State Based on Feature Map Fusion of TCN and Pretrained CNN Model from Korean Speech Emotion Data
A-Hyeon Jo, Keun-Chang Kwak
IEEE Access (2025) Vol. 13, pp. 19947-19963
Open Access
APIN: Amplitude- and Phase-Aware Interaction Network for Speech Emotion Recognition
Lili Guo, Jiakui Li, Shifei Ding, et al.
Speech Communication (2025), pp. 103201-103201
Closed Access
A cognitive brain model for multimodal sentiment analysis based on attention neural networks
Yuanqing Li, Ke Zhang, Jingyu Wang, et al.
Neurocomputing (2020) Vol. 430, pp. 159-173
Closed Access | Times Cited: 43
A robust model for domain recognition of acoustic communication using Bidirectional LSTM and deep neural network.
Sandeep Rathor, Sanket Agrawal
Neural Computing and Applications (2021) Vol. 33, Iss. 17, pp. 11223-11232
Closed Access | Times Cited: 34
CyTex: Transforming speech to textured images for speech emotion recognition
Ali Bakhshi, Ali Harimi, Stephan K. Chalup
Speech Communication (2022) Vol. 139, pp. 62-75
Closed Access | Times Cited: 26
Deep Personality Trait Recognition: A Survey
Xiaoming Zhao, Zhiwei Tang, Shiqing Zhang
Frontiers in Psychology (2022) Vol. 13
Open Access | Times Cited: 26
TC-Net: A Modest & Lightweight Emotion Recognition System Using Temporal Convolution Network
Muhammad Ishaq, Mustaqeem Khan, Soonil Kwon
Computer Systems Science and Engineering (2023) Vol. 46, Iss. 3, pp. 3355-3369
Open Access | Times Cited: 15
Diffraction Neural Network for Multi‐Source Information of Arrival Sensing
Min Huang, Bin Zheng, Ruichen Li, et al.
Laser & Photonics Review (2023) Vol. 17, Iss. 10
Open Access | Times Cited: 15
Speech emotion recognition based on bi-directional acoustic–articulatory conversion
H.Q. Li, Xueying Zhang, Shufei Duan, et al.
Knowledge-Based Systems (2024) Vol. 299, pp. 112123-112123
Closed Access | Times Cited: 4
A sturdy CNN-based model for ambience recognition of acoustic communication
Sandeep Rathor
Neural Computing and Applications (2025)
Closed Access
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