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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 novel hybrid fuzzy time series model for prediction of COVID-19 infected cases and deaths in India
Niteesh Kumar, Harendra Kumar
ISA Transactions (2021) Vol. 124, pp. 69-81
Open Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

A novel explainable COVID-19 diagnosis method by integration of feature selection with random forest
Mehrdad Rostami, Mourad Oussalah
Informatics in Medicine Unlocked (2022) Vol. 30, pp. 100941-100941
Open Access | Times Cited: 54
Utilizing CNN-LSTM techniques for the enhancement of medical systems
Alanazi Rayan, Sager holyl alruwaili, Alaa Alaerjan, et al.
Alexandria Engineering Journal (2023) Vol. 72, pp. 323-338
Open Access | Times Cited: 22
Nature-Inspired Algorithms-Based Optimal Features Selection Strategy for COVID-19 Detection Using Medical Images
Law Kumar Singh, Munish Khanna, Himanshu Monga, et al.
New Generation Computing (2024) Vol. 42, Iss. 4, pp. 761-824
Closed Access | Times Cited: 14
Improved seagull optimization algorithm of partition and XGBoost of prediction for fuzzy time series forecasting of COVID-19 daily confirmed
Sidong Xian, Kaiyuan Chen, Yue Cheng
Advances in Engineering Software (2022) Vol. 173, pp. 103212-103212
Open Access | Times Cited: 32
Fuzzy clustering based on distance metric under intuitionistic fuzzy environment
Savita Savita, Niteesh Kumar, Anjul Siwch
Granular Computing (2024) Vol. 9, Iss. 1
Closed Access | Times Cited: 7
Clustering financial institutions in countries based on a hybrid random forest and induced ordered weighted averaging
Amir Karbbasi Yazdi, Yong Tan, Paul Leger
Journal of Management Analytics (2025), pp. 1-30
Open Access
Multi-source partial discharge diagnosis in gas-insulated switchgear via zero-shot learning
Yanxin Wang, Jing Yan, Zhanbei Wang, et al.
Measurement (2023) Vol. 217, pp. 113033-113033
Closed Access | Times Cited: 10
SIRSi-vaccine dynamical model for the Covid-19 pandemic
Cristiane M. Batistela, Diego Paolo Ferruzzo Correa, Átila Madureira Bueno, et al.
ISA Transactions (2023) Vol. 139, pp. 391-405
Open Access | Times Cited: 8
SVM-RFE enabled feature selection with DMN based centroid update model for incremental data clustering using COVID-19
M. Robinson Joel, G. Manikandan, G. Bhuvaneswari, et al.
Computer Methods in Biomechanics & Biomedical Engineering (2023) Vol. 27, Iss. 10, pp. 1224-1238
Closed Access | Times Cited: 6
Comparative analysis of response surface methodology and adaptive neuro-fuzzy inference system for predictive fault detection and optimization in beverage industry
Anthony O. Onokwai, Olamide O. Olusanya, Morakinyo K. Onifade, et al.
Frontiers in Mechanical Engineering (2024) Vol. 10
Open Access | Times Cited: 1
TiDEFormer—a heterogenous stacking ensemble approach for time series forecasting of COVID-19 prevalence
Satya Prakash, Anand Singh Jalal, Pooja Pathak
International Journal of Machine Learning and Cybernetics (2024)
Closed Access | Times Cited: 1
Average-Based Fuzzy Time Series Markov Chain Based on Frequency Density Partitioning
Susilo Hariyanto, Y.D. Sumanto, Siti Khabibah, et al.
Journal of Applied Mathematics (2023) Vol. 2023, pp. 1-9
Open Access | Times Cited: 4
A Study for Plausible Third Wave of COVID-19 in India through Fuzzy Time Series Modelling Based on Particle Swarm Optimization and Fuzzy c-Means
Niteesh Kumar, Harendra Kumar, Kamal Kumar
Mathematical Problems in Engineering (2022) Vol. 2022, pp. 1-22
Open Access | Times Cited: 6
A novel approach to multi-attribute predictive analysis based on rough fuzzy sets
Yun Kang, Bin Yu, Zeshui Xu
Applied Intelligence (2023) Vol. 53, Iss. 14, pp. 17644-17661
Closed Access | Times Cited: 2
A Large-Scale IoT-Based Scheme for Real-Time Prediction of Infectious Disease Symptoms
Omar Said
Mobile Networks and Applications (2023) Vol. 28, Iss. 4, pp. 1402-1420
Open Access | Times Cited: 2
Hybrid fuzzy clustering technique to enhance the performance based on a fusion of intuitionistic modified fuzzy c-means and improved genetic algorithm
Niteesh Kumar, Harendra Kumar, Dipa Sharma
International Journal of Data Science and Analytics (2023)
Closed Access | Times Cited: 2
Using fuzzy clustering to address imprecision and uncertainty present in deterministic components of time series
Marcos Vinícius dos Santos Ferreira, Ricardo A. Rios, Rodrigo Fernandes de Mello, et al.
Applied Soft Computing (2021) Vol. 113, pp. 108011-108011
Closed Access | Times Cited: 5
Knowledge-based and data-driven underground pressure forecasting based on graph structure learning
Yue Wang, Mingsheng Liu, Yongjian Huang, et al.
International Journal of Machine Learning and Cybernetics (2022) Vol. 15, Iss. 1, pp. 3-18
Open Access | Times Cited: 3
Forecasting of coronavirus active cases by utilizing logistic growth model and fuzzy time series techniques
Chandrakanta Mahanty, S. Gopal Krishna Patro, Sandeep Rathor, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Forecasting using combination of fuzzy time series based on interval ratio and frequency density partition
A. Nafis Haikal, Etna Vianita, Bayu Surarso, et al.
AIP conference proceedings (2024) Vol. 3161, pp. 060003-060003
Closed Access
DCEnt‐PredictiveNet: A novel explainable hybrid model for time series forecasting
Vidya K. Sudarshan, Reshma A. Ramachandra, Smit Ojha, et al.
Neurocomputing (2024) Vol. 608, pp. 128389-128389
Closed Access
A Comparative Multivariate Analysis of VAR and Deep Learning-Based Models for Forecasting Volatile Time Series Data
Saroj Gopali, Sima Siami‐Namini, Faranak Abri, et al.
IEEE Access (2024) Vol. 12, pp. 155423-155436
Open Access
Forecasting COVID-19 Pandemic – A scientometric Review of Methodologies Based on Mathematics, Statistics, and Machine Learning
Satya Prakash, Anand Singh Jalal, Pooja Pathak
Data & Metadata (2024) Vol. 3
Closed Access
A Survey on the role of ML and AI in fighting Covid-19
Deepti Malhotra, Gurinder Kaur Sodhi
(2023), pp. 27-32
Closed Access | Times Cited: 1
Aggregation and definition of an algebraic framework for fuzzy time series: An application in the supply-demand domain
Luis Rodríguez-Benitez, Juan Moreno‐García, Ester del Castillo-Herrera, et al.
International Journal of Approximate Reasoning (2022) Vol. 149, pp. 104-115
Open Access | Times Cited: 2
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