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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:

<p>Forecasting the seasonality and trend of pulmonary tuberculosis in Jiangsu Province of China using advanced statistical time-series analyses</p>
Qiao Liu, Zhongqi Li, Ye Ji, et al.
Infection and Drug Resistance (2019) Vol. Volume 12, pp. 2311-2322
Open Access | Times Cited: 76

Showing 51-75 of 76 citing articles:

A comparative study of three models to analyze the impact of air pollutants on the number of pulmonary tuberculosis cases in Urumqi, Xinjiang
Ying-Dan Wang, Chunjie Gao, Tiantian Zhao, et al.
PLoS ONE (2023) Vol. 18, Iss. 1, pp. e0277314-e0277314
Open Access | Times Cited: 3
Comparison of Growth Patterns of COVID-19 Cases through the ARIMA and Gompertz Models. Case Studies: Austria, Switzerland, and Israel
Francisco Javier Díaz Pérez, David Chinarro, María Rosa Pino-Otín, et al.
Rambam Maimonides Medical Journal (2020) Vol. 11, Iss. 3, pp. e0022-e0022
Open Access | Times Cited: 8
Trends, structural changes, and assessment of time series models for forecasting hospital discharge due to death at a Mexican tertiary care hospital
Edel Rafael Rodea-Montero, Rodolfo Guardado‐Mendoza, Brenda Jesús Rodríguez-Alcántar, et al.
PLoS ONE (2021) Vol. 16, Iss. 3, pp. e0248277-e0248277
Open Access | Times Cited: 7
Upward trends in new, rifampicin-resistant and concurrent extrapulmonary tuberculosis cases in northern Guizhou Province of China
Ling Chen, Xuefeng Fu, Peng Tian, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 7
Intelligent Health Care and Diseases Management System: Multi-Day-Ahead Predictions of COVID-19
Ahed Abugabah, Farah Shahid
Mathematics (2023) Vol. 11, Iss. 4, pp. 1051-1051
Open Access | Times Cited: 2
Epidemiology-based wastewater monitoring for ecological risks of anti-tuberculosis drugs mixture effects
Wei‐Yu Chen, Yifang Chen, Jer-Min Tsai, et al.
The Science of The Total Environment (2023) Vol. 892, pp. 164560-164560
Closed Access | Times Cited: 2
Forecasting waved daily COVID-19 death count series with a novel combination of segmented Poisson model and ARIMA models
Xiaolei Zhang, Renjun Ma
Journal of Applied Statistics (2021) Vol. 50, Iss. 11-12, pp. 2561-2574
Open Access | Times Cited: 5
Hypertension and Diabetes in Akatsi South District, Ghana: Modeling and Forecasting
Dorothy O. Asante, Anita Nyarkoa Walker, Theodora Amanda Seidu, et al.
BioMed Research International (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 3
Early Warning of Infectious Diseases in Hospitals Based on Multi-Self-Regression Deep Neural Network
Mengying Wang, Cuixia Lee, Wei Wang, et al.
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-13
Open Access | Times Cited: 3
Modeling and Forecasting Tuberculosis Cases Using Machine Learning and Deep Learning Approaches: A Comparative Study
Bilal Abdualgalil, Sajimon Abraham, Waleed M. Ismael, et al.
Lecture notes on data engineering and communications technologies (2022), pp. 157-171
Closed Access | Times Cited: 3
Prediction of nosocomial infection incidence in the Department of Critical Care Medicine of Guizhou Province with a time series model
Yumei Cheng, Jia Yuan, Qimin Chen, et al.
Annals of Translational Medicine (2020) Vol. 8, Iss. 12, pp. 758-758
Open Access | Times Cited: 3
A Deep Learning Framework for COVID Outbreak Prediction
Neeraj Neeraj, Jimson Mathew, Ranjan Kumar Behera, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 3
ATT-LSTM: An Interpretable Deep Learning Framework for COVID Outbreak Prediction
Neeraj Choudhary, Jimson Mathew, Ranjan Kumar Behera, et al.
(2024)
Closed Access
Application of machine learning algorithms in determining the value perspectives of corporations
Pavlo Malchenko, Анастасія Сергіївна Полторак, Svitlana Tyshchenko, et al.
E3S Web of Conferences (2024) Vol. 508, pp. 03006-03006
Open Access
Spatial–temporal distribution characteristics of pulmonary tuberculosis in eastern China from 2011 to 2021
Ke Chen, Liang Cheng, Hao Yu, et al.
Epidemiology and Infection (2024) Vol. 152
Open Access
Predicting the incidence of rifampicin resistant tuberculosis in Yunnan, China: a seasonal time series analysis based on routine surveillance data
Yun-bin Yang, Liangli Liu, Jinou Chen, et al.
BMC Infectious Diseases (2024) Vol. 24, Iss. 1
Open Access
Modeling the Long-Term Variability in the Surfaces of Three Lakes in Morocco with Limited Remote Sensing Image Sources
Ionel Haidu, Tarik El Orfi, Zsolt Magyari‐Sáska, et al.
Remote Sensing (2024) Vol. 16, Iss. 17, pp. 3133-3133
Open Access
Prediction of Confirmed, Recovered and Casualties’ Cases of COVID-19 in India by Autoregressive Integrated Moving Average (ARIMA) Models
Sarbjit Singh, Kulwinder Singh Parmar, Jatinder Kumar, et al.
Studies in systems, decision and control (2021), pp. 153-181
Closed Access | Times Cited: 3
Robust Kalman filter for Tuberculosis Incidence Time Series Forecasting
Andrés L. Jutinico, Erika Vergara, Carlos Enrique Awad García, et al.
IFAC-PapersOnLine (2021) Vol. 54, Iss. 15, pp. 424-429
Open Access | Times Cited: 3
Investigation of 3-year inpatient TB cases in Zunyi, China: Increased TB burden but improved bacteriological diagnosis
Ling Chen, Xiaodan Wang, Xudong Jia, et al.
Frontiers in Public Health (2022) Vol. 10
Open Access | Times Cited: 2
COVID-19 spread forecast using recurrent auto-encoders
Radu Beche, Romina Baila, Anca Marginean
(2020) Vol. 9, pp. 117-122
Open Access | Times Cited: 2
Towards Tuberculosis Incidence Time Series Forecasting in Colombian Regions: The Antioquia Case
Ivan Camilo Sanchez-Vega, Álvaro D. Orjuela-Cañón, Carlos Enrique Awad Garcia, et al.
(2022), pp. 1-10
Open Access
Prediction of daily patient visits in respiratory department using deep learning
Xiaobo Song, Xinyi Zhang, Xiaoli Wang, et al.
2021 17th International Conference on Computational Intelligence and Security (CIS) (2022), pp. 69-73
Closed Access
Time Series Data based COVID-19 Prognostic using Support Vector Machine
Ravi Kumar Suggala, Sangram Keshari Swain, M. Vamsi Krishna, et al.
International Journal of Engineering Research and (2021) Vol. 9, Iss. 5
Closed Access
Predicting the Cases of Hepatitis B with the A-LSTM Model
Yang Li, Yali Yang, Cong Yang, et al.
Journal of Physics Conference Series (2021) Vol. 1995, Iss. 1, pp. 012007-012007
Open Access

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