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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:

An investigation of depressed speech detection: features and normalization
Nicholas Cummins, Julien Epps, Michael Breakspear, et al.
Interspeech 2022 (2011)
Closed Access | Times Cited: 174

Showing 1-25 of 174 citing articles:

The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing
Florian Eyben, Klaus R. Scherer, Björn W. Schuller, et al.
IEEE Transactions on Affective Computing (2015) Vol. 7, Iss. 2, pp. 190-202
Open Access | Times Cited: 1434
A review of depression and suicide risk assessment using speech analysis
Nicholas Cummins, Stefan Scherer, Jarek Krajewski, et al.
Speech Communication (2015) Vol. 71, pp. 10-49
Closed Access | Times Cited: 798
Automated depression analysis using convolutional neural networks from speech
Lang He, Cao Cui
Journal of Biomedical Informatics (2018) Vol. 83, pp. 103-111
Open Access | Times Cited: 187
MFCC-based Recurrent Neural Network for automatic clinical depression recognition and assessment from speech
Emna Rejaibi, Ali Komaty, Fabrice Mériaudeau, et al.
Biomedical Signal Processing and Control (2021) Vol. 71, pp. 103107-103107
Open Access | Times Cited: 160
Deep learning for depression recognition with audiovisual cues: A review
Lang He, Mingyue Niu, Prayag Tiwari, et al.
Information Fusion (2021) Vol. 80, pp. 56-86
Open Access | Times Cited: 132
Multimodal assistive technologies for depression diagnosis and monitoring
Jyoti Joshi, Roland Goecke, Sharifa Alghowinem, et al.
Journal on Multimodal User Interfaces (2013) Vol. 7, Iss. 3, pp. 217-228
Open Access | Times Cited: 168
Dynamic Multimodal Measurement of Depression Severity Using Deep Autoencoding
Hamdi Dibeklioğlu, Zakia Hammal, Jeffrey F. Cohn
IEEE Journal of Biomedical and Health Informatics (2017) Vol. 22, Iss. 2, pp. 525-536
Open Access | Times Cited: 168
Multimodal Measurement of Depression Using Deep Learning Models
Le Yang, Dongmei Jiang, Xiaohan Xia, et al.
(2017), pp. 53-59
Closed Access | Times Cited: 146
Decision Tree Based Depression Classification from Audio Video and Language Information
Le Yang, Dongmei Jiang, Lang He, et al.
(2016), pp. 89-96
Closed Access | Times Cited: 123
Diagnosis of depression by behavioural signals
Nicholas Cummins, Jyoti Joshi, Abhinav Dhall, et al.
(2013), pp. 11-20
Open Access | Times Cited: 118
Automatic audiovisual behavior descriptors for psychological disorder analysis
Stefan Scherer, Giota Stratou, Gale Lucas, et al.
Image and Vision Computing (2014) Vol. 32, Iss. 10, pp. 648-658
Closed Access | Times Cited: 117
Multimodal and Multiresolution Depression Detection from Speech and Facial Landmark Features
Md Nasir, Arindam Jati, Prashanth Gurunath Shivakumar, et al.
(2016), pp. 43-50
Closed Access | Times Cited: 116
Major depressive disorder discrimination using vocal acoustic features
Takaya Taguchi, Hirokazu Tachikawa, Kiyotaka Nemoto, et al.
Journal of Affective Disorders (2017) Vol. 225, pp. 214-220
Closed Access | Times Cited: 112
Giving Voice to Vulnerable Children: Machine Learning Analysis of Speech Detects Anxiety and Depression in Early Childhood
Ellen W. McGinnis, Steven P. Anderau, Jessica Hruschak, et al.
IEEE Journal of Biomedical and Health Informatics (2019) Vol. 23, Iss. 6, pp. 2294-2301
Open Access | Times Cited: 111
Detecting depression: A comparison between spontaneous and read speech
Sharifa Alghowinem, Roland Goecke, Michael Wagner, et al.
IEEE International Conference on Acoustics Speech and Signal Processing (2013), pp. 7547-7551
Closed Access | Times Cited: 106
Multimodal Prediction of Affective Dimensions and Depression in Human-Computer Interactions
Rahul Gupta, Nikolaos Malandrakis, Bo Xiao, et al.
(2014), pp. 33-40
Closed Access | Times Cited: 103
Investigation of different speech types and emotions for detecting depression using different classifiers
Haihua Jiang, Bin Hu, Zhenyu Liu, et al.
Speech Communication (2017) Vol. 90, pp. 39-46
Closed Access | Times Cited: 100
Analysis of acoustic space variability in speech affected by depression
Nicholas Cummins, Vidhyasaharan Sethu, Julien Epps, et al.
Speech Communication (2015) Vol. 75, pp. 27-49
Open Access | Times Cited: 98
Integrating Deep and Shallow Models for Multi-Modal Depression Analysis—Hybrid Architectures
Le Yang, Dongmei Jiang, Hichem Sahli
IEEE Transactions on Affective Computing (2018) Vol. 12, Iss. 1, pp. 239-253
Closed Access | Times Cited: 95
Automatic Assessment of Depression From Speech via a Hierarchical Attention Transfer Network and Attention Autoencoders
Ziping Zhao, Zhongtian Bao, Zixing Zhang, et al.
IEEE Journal of Selected Topics in Signal Processing (2019) Vol. 14, Iss. 2, pp. 423-434
Open Access | Times Cited: 79
Deep learning-based classification of posttraumatic stress disorder and depression following trauma utilizing visual and auditory markers of arousal and mood
Katharina Schultebraucks, Vijay Yadav, Arieh Y. Shalev, et al.
Psychological Medicine (2020) Vol. 52, Iss. 5, pp. 957-967
Closed Access | Times Cited: 76
A novel multi-modal depression detection approach based on mobile crowd sensing and task-based mechanisms
Ravi Prasad Thati, Abhishek Singh Dhadwal, Praveen Kumar, et al.
Multimedia Tools and Applications (2022) Vol. 82, Iss. 4, pp. 4787-4820
Open Access | Times Cited: 40
Acoustic speech features are associated with late‐life depression and apathy symptoms: Preliminary findings
Daniel Harlev, Susanne Singer, Maya Goldshalger, et al.
Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring (2025) Vol. 17, Iss. 1
Open Access | Times Cited: 1
INVESTIGATING EMOTION REGULATION DIFFICULTIES IN INDIVIDUALS WITH MENTAL HEALTH DISORDERS USING ADVANCED AUDIO ANALYSIS TECHNIQUES
Ashish Kumar Pandey, Tarun Jain, Eram Fatma, et al.
(2025), pp. 48-61
Closed Access | Times Cited: 1
A comparative study of different classifiers for detecting depression from spontaneous speech
Sharifa Alghowinem, Roland Goecke, Michael Wagner, et al.
IEEE International Conference on Acoustics Speech and Signal Processing (2013), pp. 8022-8026
Closed Access | Times Cited: 101
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