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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:

Sentiment analysis for online reviews using conditional random fields and support vector machines
Huosong Xia, Yitai Yang, Xiaoting Pan, et al.
Electronic Commerce Research (2019) Vol. 20, Iss. 2, pp. 343-360
Closed Access | Times Cited: 79

Showing 1-25 of 79 citing articles:

A survey on sentiment analysis methods, applications, and challenges
Mayur Wankhade, Annavarapu Chandra Sekhara Rao, Chaitanya Kulkarni
Artificial Intelligence Review (2022) Vol. 55, Iss. 7, pp. 5731-5780
Open Access | Times Cited: 698
A Fine-Tuned BERT-Based Transfer Learning Approach for Text Classification
Rukhma Qasim, Waqas Haider Bangyal, Mohammed A. Alqarni, et al.
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-17
Open Access | Times Cited: 126
Multi-Task Learning Model Based on Multi-Scale CNN and LSTM for Sentiment Classification
Ning Jin, Jiaxian Wu, Xiang Ma, et al.
IEEE Access (2020) Vol. 8, pp. 77060-77072
Open Access | Times Cited: 104
Detection of Fake News Text Classification on COVID-19 Using Deep Learning Approaches
Waqas Haider Bangyal, Rukhma Qasim, Najeeb Ur Rehman, et al.
Computational and Mathematical Methods in Medicine (2021) Vol. 2021, pp. 1-14
Open Access | Times Cited: 99
Analysis of customer reviews with an improved VADER lexicon classifier
Kousik Barik, Sanjay Misra
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 9
Deep learning approaches to identify order status in a complex supply chain
Mahmoud M. Bassiouni, Ripon K. Chakrabortty, Karam M. Sallam, et al.
Expert Systems with Applications (2024) Vol. 250, pp. 123947-123947
Open Access | Times Cited: 9
LSTM‐DGWO‐Based Sentiment Analysis Framework for Analyzing Online Customer Reviews
Kousik Barik, Sanjay Misra, Ajoy Kumar Ray, et al.
Computational Intelligence and Neuroscience (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 17
Exploring the Untapped Potential of Neuromarketing in Online Learning: Implications and Challenges for the Higher Education Sector in Europe
Hedda Martina Šola, Fayyaz Hussain Qureshi, Sarwar Khawaja
Behavioral Sciences (2024) Vol. 14, Iss. 2, pp. 80-80
Open Access | Times Cited: 6
Voices in the digital storm: Unraveling online polarization with ChatGPT
Yunfei Xing, Zuopeng Zhang, Guangqing Teng, et al.
Technology in Society (2024) Vol. 77, pp. 102534-102534
Closed Access | Times Cited: 6
Elaboration of a Conceptual Map of E-WOM Through Co-Word Analysis
R.A. Carrasco, Itzcóatl Bueno, Manuel J. Cobo, et al.
Smart innovation, systems and technologies (2025), pp. 527-541
Closed Access
Identifying Emotion Labels From Psychiatric Social Texts Using a Bi-Directional LSTM-CNN Model
Jheng-Long Wu, Yuanye He, Liang-Chih Yu, et al.
IEEE Access (2020) Vol. 8, pp. 66638-66646
Open Access | Times Cited: 42
Improving Sentiment Classification of Restaurant Reviews with Attention-Based Bi-GRU Neural Network
Liangqiang Li, Liang Yang, Yuyang Zeng
Symmetry (2021) Vol. 13, Iss. 8, pp. 1517-1517
Open Access | Times Cited: 33
Text Mining of User-Generated Content (UGC) for Business Applications in E-Commerce: A Systematic Review
Shugang Li, Fang Liu, Yuqi Zhang, et al.
Mathematics (2022) Vol. 10, Iss. 19, pp. 3554-3554
Open Access | Times Cited: 24
A hybrid optimization algorithm using BiLSTM structure for sentiment analysis
J. Sangeetha, U. Kumaran
Measurement Sensors (2022) Vol. 25, pp. 100619-100619
Open Access | Times Cited: 24
Aspect-based sentiment classification of user reviews to understand customer satisfaction of e-commerce platforms
Laleh Davoodi, József Mezei, Markku Heikkilä
Electronic Commerce Research (2025)
Open Access
A NLP framework based on meaningful latent-topic detection and sentiment analysis via fuzzy lattice reasoning on youtube comments
Hamed Jelodar, Yongli Wang, Mahdi Rabbani, et al.
Multimedia Tools and Applications (2020) Vol. 80, Iss. 3, pp. 4155-4181
Closed Access | Times Cited: 36
A review on sentiment discovery and analysis of educational big‐data
Zhongmei Han, Jiyi Wu, Changqin Huang, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2019) Vol. 10, Iss. 1
Closed Access | Times Cited: 33
Investigating the Effects of Video-Based E-Word-of-Mouth on Consumers’ Purchase Intention: The Moderating Role of Involvement
Lingyun Zhai, Pengzhen Yin, Chenyang Li, et al.
Sustainability (2022) Vol. 14, Iss. 15, pp. 9522-9522
Open Access | Times Cited: 18
Is UGC sentiment helpful for recommendation? An application of sentiment-based recommendation model
Mengyang Gao, Jun Wang, Ou Liu
Industrial Management & Data Systems (2024) Vol. 124, Iss. 4, pp. 1356-1384
Closed Access | Times Cited: 3
Sentiment drivers of hotel customers: a hybrid approach using unstructured data from online reviews
Ree Chan Ho, Madusha Sandamali Withanage, Kok Wei Khong
Asia-Pacific Journal of Business Administration (2020) Vol. 12, Iss. 3/4, pp. 237-250
Closed Access | Times Cited: 22
DOFM: Domain Feature Miner for robust extractive summarization
Hiren Kumar Thakkar, Prasan Kumar Sahoo, Pranab Mohanty
Information Processing & Management (2021) Vol. 58, Iss. 3, pp. 102474-102474
Closed Access | Times Cited: 18
Classification of Textual Sentiment Using Ensemble Technique
Md. Mashiur Rahaman Mamun, Omar Sharif, Mohammed Moshiul Hoque
SN Computer Science (2021) Vol. 3, Iss. 1
Closed Access | Times Cited: 18
Emotion Ontology Studies: A Framework for Expressing Feelings Digitally and its Application to Sentiment Analysis
Eun Hee Park, Veda C. Storey
ACM Computing Surveys (2022) Vol. 55, Iss. 9, pp. 1-38
Closed Access | Times Cited: 13
The influence of eWOM information structures on consumers’ purchase intentions
Liang Xiao, Linyong Luo, Tongping Ke
Electronic Commerce Research (2022) Vol. 24, Iss. 3, pp. 1713-1735
Closed Access | Times Cited: 12
From screen to plate: an investigation of how information by social media influencers influence food tasting intentions through the integration of IAM and TAM models
Safdar Khan, Sujood Sujood, Asad Rehman, et al.
Journal of Hospitality and Tourism Insights (2024)
Closed Access | Times Cited: 2
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