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 of Flood Disaster Management in Jakarta on Twitter Using Support Vector Machines
Mohd Amiruddin Saddam, Erno Kurniawan Dewantara, Achmad Solichin
SinkrOn (2023) Vol. 8, Iss. 1, pp. 470-479
Open Access | Times Cited: 13

Showing 13 citing articles:

Graph-aware pre-trained language model for political sentiment analysis in Filipino social media
Jean Aristide Aquino, Di Jie Liew, Yung‐Chun Chang
Engineering Applications of Artificial Intelligence (2025) Vol. 146, pp. 110317-110317
Closed Access

A Multidimensional Study of the 2023 Beijing Extreme Rainfall: Theme, Location, and Sentiment Based on Social Media Data
Xun Zhang, Jiahong Wang, Yingchun Zhang, et al.
ISPRS International Journal of Geo-Information (2025) Vol. 14, Iss. 4, pp. 136-136
Open Access

Multi-hazard susceptibility mapping in the Salt Lake watershed
Sima Pourhashemi, Mohammad Ali Zangane Asadi, Mahdi Boroughani
Environmental Challenges (2024), pp. 101079-101079
Open Access | Times Cited: 2

Analisis Sentimen Fenomena PHK Massal Menggunakan Naive Bayes dan Support Vector Machine
Mohd Amiruddin Saddam, Erno Kurniawan D, Indra Indra
Jurnal Informatika Jurnal Pengembangan IT (2023) Vol. 8, Iss. 3, pp. 226-233
Open Access | Times Cited: 5

Fusion of BERT embeddings and elongation-driven features
Abderrahim Rafae, Mohammed Erritali, Mathieu Roche
Multimedia Tools and Applications (2024) Vol. 83, Iss. 34, pp. 80773-80797
Closed Access | Times Cited: 1

ANALISIS SENTIMEN ULASAN PENGGUNA PADA GAME ROBLOX DENGAN METODE SUPPORT VECTOR MACHINE DAN NAIVE BAYES
Aditia Fikri Alkindi, Nurliana Nasution
J-Com (Journal of Computer) (2024) Vol. 4, Iss. 2, pp. 164-177
Open Access

A new perspective to understand public response to the Typhoon Doksuri from coastal and inland regions
Mengqiong Xu, Juanle Wang, Zheng Qu, et al.
Heliyon (2024) Vol. 10, Iss. 17, pp. e36862-e36862
Open Access

A Review on Social Media and Deep Neural Networks for Sentiment Analysis in Emergency Management
Shubhrata Kanungo, Suresh Jain
(2023), pp. 1-7
Closed Access | Times Cited: 1

ANALISIS SENTIMEN TERHADAP PSSI ATAS TRAGEDI KANJURUHAN MENGGUNAKAN MULTINOMIAL NAÏVE BAYES
Mohammad Afif Hanafi, Achmad Solichin
Telematika MKOM (2023) Vol. 15, Iss. 1, pp. 21-21
Open Access

Analisis Sentimen Komentar Youtube Tentang Prediksi Resesi Ekonomi Tahun 2023 Menggunakan Algoritme Naïve Bayes
Anggi Ayu Ningtyas, Achmad Solichin, Rizky Pradana
Bit (Fakultas Teknologi Informasi Universitas Budi Luhur) (2023) Vol. 20, Iss. 1, pp. 9-9
Open Access

Aspect-Based Sentiment Analysis On FLIP Application Reviews (Play Store) Using Support Vector Machine (SVM) Algorithm
Nurul Hidayati, Faqih Hamami, Riska Yanu Fa’rifah
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING (2023) Vol. 7, Iss. 1, pp. 183-197
Open Access

SENTIMENT ANALYSIS OF MYPERTAMINA APPLICATION USING SUPPORT VECTOR MACHINE AND NAÏVE BAYES ALGORITHMS
Ongki Sopie Simbolon, Murni Esterlita Manullang, S. González Álvarez, et al.
Jurnal Sistem Informasi dan Ilmu Komputer Prima(JUSIKOM PRIMA) (2023) Vol. 7, Iss. 1, pp. 177-189
Open Access

Hybrid Machine Learning Method for Sentiment Analysis
Animesh Srivastava, Vivek Srivastava, Kamal Kumar, et al.
(2023), pp. 646-652
Closed Access

Pendekatan Machine Learning: Analisis Sentimen Masyarakat Terhadap Kendaraan Listrik Pada Sosial Media X
Gathot Hanyokro Kusuma, Inggih Permana, Febi Nur Salisah, et al.
JUSIFO (JURNAL SISTEM INFORMASI) (2023) Vol. 9, Iss. 2, pp. 65-76
Open Access

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