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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:

Negative emotions detection on online mental-health related patients texts using the deep learning with MHA-BCNN model
Dheeraj Kodati, Tene Ramakrishnudu
Expert Systems with Applications (2021) Vol. 182, pp. 115265-115265
Closed Access | Times Cited: 45

Showing 26-50 of 45 citing articles:

The increasing instance of negative emotion reduce the performance of emotion recognition
Xiaomin Wang, Shaokai Zhao, Yu Pei, et al.
Frontiers in Human Neuroscience (2023) Vol. 17
Open Access | Times Cited: 3
HATDO: hybrid Archimedes Tasmanian devil optimization CNN for classifying offensive comments and non-offensive comments
B. Aarthi, Balika J Chelliah
Neural Computing and Applications (2023) Vol. 35, Iss. 25, pp. 18395-18415
Closed Access | Times Cited: 2
Mental Disorders Prediction from Twitter Data: Application to Syndromic Surveillance Systems
Lamia Bendebane, Rahimah Zakaria, Asma Saighi
Lecture notes in networks and systems (2023), pp. 140-145
Closed Access | Times Cited: 2
Systematic Literature Review: Machine Learning Methods in Emotion Classification in Textual Data
Putu Widyantara Artanta Wibawa, Cokorda Rai Adi Pramartha
Jurnal Sisfokom (Sistem Informasi dan Komputer) (2023) Vol. 12, Iss. 3, pp. 425-433
Open Access | Times Cited: 2
A Machine Learning Approach to Analyze Mental Health from Reddit Posts
Smriti Nayak, Debolina Mahapatra, Riddhi Chatterjee, et al.
Smart innovation, systems and technologies (2022), pp. 357-366
Closed Access | Times Cited: 3
The increasing types of negative emotion impose an extra pressure on the accuracy of emotion recognition
Xiaomin Wang, Yu Pei, Lei Zhang, et al.
(2022), pp. 39-39
Closed Access | Times Cited: 3
Stress Expression Identification Model for Emotion-Driven Association Calculation over Social Network Blogs
Tie Hua Zhou, Jinwei Wang, Ling Wang, et al.
Lecture notes in computer science (2024), pp. 407-415
Closed Access
CatRevenge: towards effective revenge text detection in online social media with paragraph embedding and CATBoost
Sayani Ghosal, Amita Jain
Multimedia Tools and Applications (2024)
Closed Access
Emotion Recognition Based on Handwriting Using Generative Adversarial Networks and Deep Learning
Hengnian Qi, Gang Zeng, Keke Jia, et al.
IET Biometrics (2024) Vol. 2024, pp. 1-15
Open Access
A Hybrid Approach for Depression Classification Using BERT and SVM
Aditya Porwal, Sri Khetwat Saritha, Mitul Kumar Ahirwal
Lecture notes in networks and systems (2024), pp. 463-475
Closed Access
An Efficient Deep Learning Model Using Harris-Hawk Optimizer for Prognostication of Mental Health Disorders
Vandana, Shilpa Srivastava, Nidhi Arora, et al.
International Research Journal of Multidisciplinary Technovation (2024), pp. 106-123
Open Access
From Data to Diagnosis: Investigating Approaches in Mental Illness Detection
Reem Kadry Montasser, Sherif A. Mazen, Iman M. A. Helal
(2024) Vol. 9, pp. 563-568
Closed Access
Detecting critical diseases associated with higher mortality in electronic health records using a hybrid attention-based transformer
Dheeraj Kodati, Chandra Mohan Dasari
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109649-109649
Closed Access
Does Sentiment and Emotion affect Mental Health? A Multi-task Classification Framework for Comprehensive Understanding of Mental Health, Emotion, and Sentiment from Motivational Conversations
A Pathak, Swagata Bhattacharjee, Tulika Saha, et al.
ACM Transactions on Computing for Healthcare (2024)
Open Access
Advancing mental health detection in texts via multi-task learning with soft-parameter sharing transformers
Dheeraj Kodati, Tene Ramakrishnudu
Neural Computing and Applications (2024) Vol. 37, Iss. 5, pp. 3077-3110
Closed Access
Deep learning for clinical decision-making and improved healthcare outcome
Russell Kabir, Haniya Zehra Syed, Divya Vinnakota, et al.
Elsevier eBooks (2023), pp. 187-201
Closed Access | Times Cited: 1
A Novel Adaptive Affective Cognition Analysis Model for College Students Using a Deep Convolution Neural Network and Deep Features
Huali Feng
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-9
Open Access | Times Cited: 1
Intelligent Mental Depression Recognition Model with Ensemble Learning Through Social Media Tweet Resources
Prithvipal Singh, Gurvinder Singh, Amritpal Singh, et al.
Cybernetics & Systems (2022), pp. 1-40
Closed Access | Times Cited: 1
Human Behavior and Emotion Detection Mechanism Using Artificial Intelligence Technology
Zhu Jinnuo, Sakshi Goyal, Prasenjit Chatterjee
Lecture notes in electrical engineering (2023), pp. 799-810
Closed Access
Research on Text Sentiment Analysis Model and Its Application for Mental Health Based on Social Media Data
Zhaojia Chai, Meng Wang, Zhaoyuan Chai, et al.
Journal of Educational Research and Policies (2023) Vol. 5, Iss. 8
Open Access
Empirical Analysis of Depression Detection Using Deep Learning on Twitter
Arunima Jaiswal, Payal Porwal, Anushka Singh, et al.
Lecture notes in networks and systems (2023), pp. 293-309
Closed Access
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