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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:

A deep learning based hybrid architecture for weekly dengue incidences forecasting
Xinxing Zhao, Kainan Li, Candice Ke En Ang, et al.
Chaos Solitons & Fractals (2023) Vol. 168, pp. 113170-113170
Closed Access | Times Cited: 14

Showing 14 citing articles:

Enhancing network intrusion detection performance using generative adversarial networks
Xinxing Zhao, Kar Wai Fok, Vrizlynn L. L. Thing
Computers & Security (2024) Vol. 145, pp. 104005-104005
Open Access | Times Cited: 5
Forecasting dengue across Brazil with LSTM neural networks and SHAP-driven lagged climate and spatial effects
Xiang Chen, Paula Moraga
BMC Public Health (2025) Vol. 25, Iss. 1
Open Access
DengueFog: A Fog Computing-Enabled Weighted Random Forest-Based Smart Health Monitoring System for Automatic Dengue Prediction
Ashima Kukkar, Yugal Kumar, Jasminder Kaur Sandhu, et al.
Diagnostics (2024) Vol. 14, Iss. 6, pp. 624-624
Open Access | Times Cited: 3
A robust time-varying weight combined model for crude oil price forecasting
Longlong Liu, Suyu Zhou, Jie Qian, et al.
Energy (2024) Vol. 299, pp. 131352-131352
Closed Access | Times Cited: 3
Deep learning guided prediction modeling of dengue virus evolving serotype
Zilwa Mumtaz, Zubia Rashid, Rashid Saif, et al.
Heliyon (2024) Vol. 10, Iss. 11, pp. e32061-e32061
Open Access | Times Cited: 3
Assessing dengue forecasting methods: A comparative study of statistical models and machine learning techniques in Rio de Janeiro, Brazil
Xiang Chen, Paula Moraga
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 3
When climate variables improve the dengue forecasting: a machine learning approach
Sidney T. da Silva, Enrique C. Gabrick, Paulo R. Protachevicz, et al.
The European Physical Journal Special Topics (2024)
Open Access | Times Cited: 2
Exploring Machine Learning Algorithms for the Prediction of Dengue: A Comprehensive Review
T. Archana, F. Hussain
Revue d intelligence artificielle (2023) Vol. 37, Iss. 5, pp. 1281-1290
Open Access | Times Cited: 6
PICTUREE—Aedes: A Web Application for Dengue Data Visualization and Case Prediction
Chunlin Yi, Aram Vajdi, Tanvir Ferdousi, et al.
Pathogens (2023) Vol. 12, Iss. 6, pp. 771-771
Open Access | Times Cited: 3
Deep Learning Guided Prediction Modeling of Dengue Virus Evolving Serotype
Zilwa Mumtaz, Hafiz Abdullah Shahbaz, Muhammad Hamza Qureshi, et al.
(2024)
Open Access
A deep learning architecture using hybrid and stacks to forecast weekly dengue cases in Laos
Sathi Patra, Soovoojeet Jana, Sayani Adak, et al.
The European Physical Journal B (2024) Vol. 97, Iss. 8
Closed Access
Forecasting Dengue Across Brazil with Lstm Neural Networks and Shap-Driven Lagged Climate and Spatial Effects
Xiang Chen, Paula Moraga
(2024)
Closed Access
Forecasting Dengue across Brazil with LSTM Neural Networks and SHAP-Driven Lagged Climate and Spatial Effects
Xiang Chen, Paula Moraga
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Forecasting Time Series Covid 19 Using Deep Learning Methods: South America Comparative Case Study
Miguel Alfaro, Manuel Vargas, Guillermo Fuertes, et al.
Research Square (Research Square) (2023)
Open Access
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