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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 1-25 of 45 citing articles:

A review on sentiment analysis and emotion detection from text
Pansy Nandwani, Rupali Verma
Social Network Analysis and Mining (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 495
Context-aware Emotion Detection from Low-resource Urdu Language Using Deep Neural Network
Muhammad Farrukh Bashir, Abdul Rehman Javed, Muhammad Umair Arshad, et al.
ACM Transactions on Asian and Low-Resource Language Information Processing (2022) Vol. 22, Iss. 5, pp. 1-30
Closed Access | Times Cited: 57
Depression detection on online social network with multivariate time series feature of user depressive symptoms
Yicheng Cai, Haizhou Wang, Huali Ye, et al.
Expert Systems with Applications (2023) Vol. 217, pp. 119538-119538
Closed Access | Times Cited: 23
Textual emotion detection in health: Advances and applications
Alieh Hajizadeh Saffar, Tiffany Katharine Mann, Bahadorreza Ofoghi
Journal of Biomedical Informatics (2022) Vol. 137, pp. 104258-104258
Open Access | Times Cited: 23
A multi-task learning framework for politeness and emotion detection in dialogues for mental health counselling and legal aid
Priyanshu Priya, Mauajama Firdaus, Asif Ekbal
Expert Systems with Applications (2023) Vol. 224, pp. 120025-120025
Closed Access | Times Cited: 15
The impact of artificial intelligence on the tasks of mental healthcare workers: A scoping review
Ana Daniela Peres Rebelo, D. E. Verboom Damion, Nuno Rebelo dos Santos, et al.
Computers in Human Behavior Artificial Humans (2023) Vol. 1, Iss. 2, pp. 100008-100008
Open Access | Times Cited: 15
A self-attention TCN-based model for suicidal ideation detection from social media posts
Seyedeh Leili Mirtaheri, Sergio Greco, Reza Shahbazian
Expert Systems with Applications (2024) Vol. 255, pp. 124855-124855
Open Access | Times Cited: 4
Emotion mining for early suicidal threat detection on both social media and suicide notes using context dynamic masking-based transformer with deep learning
Dheeraj Kodati, Tene Ramakrishnudu
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 3
A review on emotion detection by using deep learning techniques
Tulika Chutia, Nomi Baruah
Artificial Intelligence Review (2024) Vol. 57, Iss. 8
Open Access | Times Cited: 3
Audio spectrogram analysis in IoT paradigm for the classification of psychological-emotional characteristics
Ankit Kumar, Sushil Kumar Singh, Indu Bhardwaj, et al.
International Journal of Information Technology (2024)
Closed Access | Times Cited: 3
EANDC: An explainable attention network based deep adaptive clustering model for mental health treatment
Usman Ahmed, Gautam Srivastava, Unil Yun, et al.
Future Generation Computer Systems (2021) Vol. 130, pp. 106-113
Open Access | Times Cited: 23
Identifying suicidal emotions on social media through transformer-based deep learning
Dheeraj Kodati, Tene Ramakrishnudu
Applied Intelligence (2022) Vol. 53, Iss. 10, pp. 11885-11917
Closed Access | Times Cited: 15
Research on Named Entity Recognition Method of Metro On-Board Equipment Based on Multiheaded Self-Attention Mechanism and CNN-BiLSTM-CRF
Junting Lin, Endong Liu
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-13
Open Access | Times Cited: 14
Negative emotion detection on social media during the peak time of COVID-19 through deep learning with an auto-regressive transformer
Dheeraj Kodati, Chandra Mohan Dasari
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107361-107361
Closed Access | Times Cited: 8
Abstractive Summarizers Become Emotional on News Summarization
Vicent Ahuir, José Ángel González, Lluís-F. Hurtado, et al.
Applied Sciences (2024) Vol. 14, Iss. 2, pp. 713-713
Open Access | Times Cited: 2
Impact of Contradicting Subtle Emotion Cues on Large Language Models with Various Prompting Techniques
Noor Ul Huda, Sanam Fayaz Sahito, Abdul Rehman Gilal, et al.
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 4
Open Access | Times Cited: 2
Deep emotion recognition in textual conversations: a survey
Patrícia Pereira, Helena Moniz, João Paulo Carvalho
Artificial Intelligence Review (2024) Vol. 58, Iss. 1
Open Access | Times Cited: 2
DeCoDE: Detection of Cognitive Distortion and Emotion Cause Extraction in Clinical Conversations
Gopendra Vikram Singh, Soumitra Ghosh, Asif Ekbal, et al.
Lecture notes in computer science (2023), pp. 156-171
Closed Access | Times Cited: 6
A Stem to Stern Sentiment Analysis Emotion Detection
N.A. Pratibha, Gaganpreet Kaur, Amandeep Kaur, et al.
2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) (2022)
Closed Access | Times Cited: 9
$p$-Norm Broad Learning for Negative Emotion Classification in Social Networks
Guanghao Chen, Sancheng Peng, Rong Zeng, et al.
Big Data Mining and Analytics (2022) Vol. 5, Iss. 3, pp. 245-256
Open Access | Times Cited: 8
BioEmoDetector: A flexible platform for detecting emotions from health narratives
Bashar Alshouha, Jesús Serrano-Guerrero, Francisco Chiclana, et al.
SoftwareX (2024) Vol. 26, pp. 101670-101670
Open Access | Times Cited: 1
Mental Health Detection using Machine Learning
P. Naidu, M. Muni Chinmai Ruchitha, P. Yaswanth, et al.
International Journal of Innovative Science and Research Technology (IJISRT) (2024), pp. 760-766
Open Access | Times Cited: 1
Discriminant Input Processing Scheme for Self-Assisted Intelligent Healthcare Systems
Mohamed Medani, Shtwai Alsubai, Hong Min, et al.
Bioengineering (2024) Vol. 11, Iss. 7, pp. 715-715
Open Access | Times Cited: 1
Machine Learning Applied in Emotion Classification: A Survey on Dataset, Techniques, and Trends for Text Based Documents
Disha Chavan, Esha Anvekar, Megha Dandapat, et al.
2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS) (2023), pp. 1697-1703
Closed Access | Times Cited: 3
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
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