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:

Personality Predictions Based on User Behavior on the Facebook Social Media Platform
Michael M. Tadesse, Hongfei Lin, Bo Xu, et al.
IEEE Access (2018) Vol. 6, pp. 61959-61969
Open Access | Times Cited: 173

Showing 1-25 of 173 citing articles:

Detection of Depression-Related Posts in Reddit Social Media Forum
Michael M. Tadesse, Hongfei Lin, Bo Xu, et al.
IEEE Access (2019) Vol. 7, pp. 44883-44893
Open Access | Times Cited: 359

A survey on personality-aware recommendation systems
Sahraoui Dhelim, Nyothiri Aung, Mohammed Amine Bouras, et al.
Artificial Intelligence Review (2021) Vol. 55, Iss. 3, pp. 2409-2454
Closed Access | Times Cited: 122

Text based personality prediction from multiple social media data sources using pre-trained language model and model averaging
Hans Christian, Derwin Suhartono, Andry Chowanda, et al.
Journal Of Big Data (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 105

User OCEAN Personality Model Construction Method Using a BP Neural Network
Xiaomei Qin, Zhixin Liu, Yuwei Liu, et al.
Electronics (2022) Vol. 11, Iss. 19, pp. 3022-3022
Open Access | Times Cited: 99

SMOTETomek-Based Resampling for Personality Recognition
Zhe Wang, Chunhua Wu, Kangfeng Zheng, et al.
IEEE Access (2019) Vol. 7, pp. 129678-129689
Open Access | Times Cited: 94

An Emotional Recommender System for Music
Vincenzo Moscato, Antonio Picariello, Giancarlo Sperlì
IEEE Intelligent Systems (2020) Vol. 36, Iss. 5, pp. 57-68
Closed Access | Times Cited: 92

How is extraversion related to social media use? A literature review
Thomas Bowden-Green, Joanne Hinds, Adam Joinson
Personality and Individual Differences (2020) Vol. 164, pp. 110040-110040
Open Access | Times Cited: 73

Getting Personal: A Deep Learning Artifact for Text-Based Measurement of Personality
Kai Yang, Raymond Y.K. Lau, Ahmed Abbasi
Information Systems Research (2022) Vol. 34, Iss. 1, pp. 194-222
Closed Access | Times Cited: 59

Combining machine learning algorithms for personality trait prediction
Jesús Serrano-Guerrero, Bashar Alshouha, Mohammad Bani‐Doumi, et al.
Egyptian Informatics Journal (2024) Vol. 25, pp. 100439-100439
Open Access | Times Cited: 9

TensorFlow-Based Automatic Personality Recognition Used in Asynchronous Video Interviews
Hung-Yue Suen, Kuo-En Hung, Chien‐Liang Lin
IEEE Access (2019) Vol. 7, pp. 61018-61023
Open Access | Times Cited: 73

Personality Classification from Online Text using Machine Learning Approach
Alam Sher Khan, Hussain Al-Ahmad, Muhammad Zubaır, et al.
International Journal of Advanced Computer Science and Applications (2020) Vol. 11, Iss. 3
Open Access | Times Cited: 64

The Role of Facilitating Conditions and User Habits: A Case of Indonesian Online Learning Platform
Rita Ambarwati, Yuda Dian Harja, Suyono Thamrin
Journal of Asian Finance Economics and Business (2020) Vol. 7, Iss. 10, pp. 481-489
Open Access | Times Cited: 59

Digital Phenotyping of Big Five Personality via Facebook Data Mining: A Meta-Analysis
Davide Marengo, Christian Montag
Digital Psychology (2020) Vol. 1, Iss. 1, pp. 52-64
Open Access | Times Cited: 57

A big data analytics framework for detecting user-level depression from social networks
Xingwei Yang, Rhonda McEwen, Liza Robee Ong, et al.
International Journal of Information Management (2020) Vol. 54, pp. 102141-102141
Closed Access | Times Cited: 54

Predicting Personality Using Answers to Open-Ended Interview Questions
Madhura Jayaratne, Buddhi Jayatilleke
IEEE Access (2020) Vol. 8, pp. 115345-115355
Open Access | Times Cited: 53

Big Data in Forecasting Research: A Literature Review
Ling Tang, Jieyi Li, Hongchuan Du, et al.
Big Data Research (2021) Vol. 27, pp. 100289-100289
Closed Access | Times Cited: 49

Digital twins in human understanding: a deep learning-based method to recognize personality traits
Jianshan Sun, Zhiqiang Tian, Yelin Fu, et al.
International Journal of Computer Integrated Manufacturing (2020) Vol. 34, Iss. 7-8, pp. 860-873
Closed Access | Times Cited: 49

A Review on Prediction of Personality Traits Considering Interview Answers with Personality Models
P. William
International Journal for Research in Applied Science and Engineering Technology (2021) Vol. 9, Iss. 5, pp. 1611-1616
Open Access | Times Cited: 40

Personality Classification of Facebook Users According to Big Five Personality Using SVM (Support Vector Machine) Method
Ninda Anggoro Utami, Warih Maharani, Imelda Atastina
Procedia Computer Science (2021) Vol. 179, pp. 177-184
Open Access | Times Cited: 39

Predicting personality traits with semantic structures and LSTM-based neural networks
Muhammed Ali Koşan, Hacer Karacan, Burcu A. Ürgen
Alexandria Engineering Journal (2022) Vol. 61, Iss. 10, pp. 8007-8025
Open Access | Times Cited: 24

Automatic personality prediction: an enhanced method using ensemble modeling
Majid Ramezani, Mohammad‐Reza Feizi‐Derakhshi, Mohammad Ali Balafar, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 21, pp. 18369-18389
Open Access | Times Cited: 20

My Tweets Bring All the Traits to the Yard: Predicting Personality and Relational Traits in Online Social Networks
Dimitra Karanatsiou, Pavlos Sermpezis, Dritjon Gruda, et al.
ACM Transactions on the Web (2022) Vol. 16, Iss. 2, pp. 1-26
Open Access | Times Cited: 19

Inferences and the Right to Privacy
Jakob Thrane Mainz
The Journal of Value Inquiry (2022) Vol. 58, Iss. 4, pp. 563-581
Closed Access | Times Cited: 19

LLM vs Small Model? Large Language Model Based Text Augmentation Enhanced Personality Detection Model
Linmei Hu, Hongyu He, Duokang Wang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 16, pp. 18234-18242
Open Access | Times Cited: 4

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