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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 density peaks clustering algorithm based on k nearest neighbors for improving assignment process
Jianhua Jiang, Yujun Chen, Xianqiu Meng, et al.
Physica A Statistical Mechanics and its Applications (2019) Vol. 523, pp. 702-713
Closed Access | Times Cited: 53

Showing 1-25 of 53 citing articles:

Comparison of Min-Max normalization and Z-Score Normalization in the K-nearest neighbor (kNN) Algorithm to Test the Accuracy of Types of Breast Cancer
Henderi Henderi
IJIIS International Journal of Informatics and Information Systems (2021) Vol. 4, Iss. 1, pp. 13-20
Open Access | Times Cited: 210
AI-based recommendation model for effective decision to maximise ROI
Suseela Sellamuthu, Srinivas Aditya Vaddadi, Srinivas Venkata, et al.
Soft Computing (2023)
Closed Access | Times Cited: 61
Automatic topography of high-dimensional data sets by non-parametric density peak clustering
Maria d’Errico, Elena Facco, Alessandro Laio, et al.
Information Sciences (2021) Vol. 560, pp. 476-492
Open Access | Times Cited: 57
An overview on density peaks clustering
Xiuxi Wei, Maosong Peng, Huajuan Huang, et al.
Neurocomputing (2023) Vol. 554, pp. 126633-126633
Open Access | Times Cited: 19
An improved density peaks clustering algorithm based on k nearest neighbors and turning point for evaluating the severity of railway accidents
Lingyuan Shi, Xin Yang, Ximing Chang, et al.
Reliability Engineering & System Safety (2023) Vol. 233, pp. 109132-109132
Closed Access | Times Cited: 17
Density peaks clustering with gap-based automatic center detection
Kathia G. Flores, Sara E. Garza
Knowledge-Based Systems (2020) Vol. 206, pp. 106350-106350
Closed Access | Times Cited: 40
AGWO: Advanced GWO in multi-layer perception optimization
Xianqiu Meng, Jianhua Jiang, Huan Wang
Expert Systems with Applications (2021) Vol. 173, pp. 114676-114676
Closed Access | Times Cited: 39
Online voltage consistency prediction of proton exchange membrane fuel cells using a machine learning method
Huicui Chen, Wanchao Shan, Hongyang Liao, et al.
International Journal of Hydrogen Energy (2021) Vol. 46, Iss. 69, pp. 34399-34412
Closed Access | Times Cited: 36
An efficient method for autoencoder based outlier detection
Abhaya Abhaya, Bidyut Kr. Patra
Expert Systems with Applications (2022) Vol. 213, pp. 118904-118904
Closed Access | Times Cited: 27
A Graph Adaptive Density Peaks Clustering algorithm for automatic centroid selection and effective aggregation
Tengfei Xu, Jianhua Jiang
Expert Systems with Applications (2022) Vol. 195, pp. 116539-116539
Closed Access | Times Cited: 25
Drugs Rating Generation and Recommendation from Sentiment Analysis of Drug Reviews using Machine Learning
Md. Deloar Hossain, Md. Shafiul Azam, Jahan Ali, et al.
(2020)
Closed Access | Times Cited: 34
Fault detection of multimode chemical processes using weighted density peak clustering and trend slow feature analysis
Xiaogang Deng, M. C. Wu, Wenjie Yang, et al.
Process Safety and Environmental Protection (2025), pp. 106941-106941
Closed Access
Q‐GEV Based Novel Trainable Clustering Scheme for Reducing Complexity of Data Clustering
Mohamed Abd Elaziz, Esraa Osama Abo Zaid, Mohammed A. A. Al‐qaness, et al.
Expert Systems (2025) Vol. 42, Iss. 4
Closed Access
Adaptive Density Peaks Clustering Based on K-Nearest Neighbor and Gini Coefficient
Dong Jiang, Wenke Zang, Rui Sun, et al.
IEEE Access (2020) Vol. 8, pp. 113900-113917
Open Access | Times Cited: 30
Effective Density Peaks Clustering Algorithm Based on the Layered K-Nearest Neighbors and Subcluster Merging
Chunhua Ren, Linfu Sun, Yang Yu, et al.
IEEE Access (2020) Vol. 8, pp. 123449-123468
Open Access | Times Cited: 25
A New Adaptive Mixture Distance-Based Improved Density Peaks Clustering for Gearbox Fault Diagnosis
Krishna Kumar Sharma, Ayan Seal, Anis Yazidi, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-16
Closed Access | Times Cited: 15
A novel density peaks clustering algorithm based on K nearest neighbors with adaptive merging strategy
Xiaoning Yuan, Hang Z. Yu, Jun Liang, et al.
International Journal of Machine Learning and Cybernetics (2021) Vol. 12, Iss. 10, pp. 2825-2841
Open Access | Times Cited: 17
Research on historical phase division of terrorism: An analysis method by time series complex network
Honghai Qiao, Zhenghong Deng, Hui‐Jia Li, et al.
Neurocomputing (2020) Vol. 420, pp. 246-265
Closed Access | Times Cited: 15
A Multi‐Granularity Density Peak Clustering Algorithm Based on Variational Mode Decomposition
Ziwen Gu, Peng Li, Xun Lang, et al.
Chinese Journal of Electronics (2021) Vol. 30, Iss. 4, pp. 658-668
Closed Access | Times Cited: 13
Clustering with Missing Features: A Density-Based Approach
Kun Gao, Hassan Ali Khan, Wenwen Qu
Symmetry (2022) Vol. 14, Iss. 1, pp. 60-60
Open Access | Times Cited: 9
A novel density peaks clustering algorithm for automatic selection of clustering centers based on K-nearest neighbors
Zhihe Wang, Huan Wang, Hui Du, et al.
Mathematical Biosciences & Engineering (2023) Vol. 20, Iss. 7, pp. 11875-11894
Open Access | Times Cited: 5
Density Peaks Clustering Algorithm Based on Weighted k-Nearest Neighbors and Geodesic Distance
Lina Liu, Donghua Yu
IEEE Access (2020) Vol. 8, pp. 168282-168296
Open Access | Times Cited: 13
GDPC: generalized density peaks clustering algorithm based on order similarity
Xiaofei Yang, Zhiling Cai, Ruijia Li, et al.
International Journal of Machine Learning and Cybernetics (2020) Vol. 12, Iss. 3, pp. 719-731
Closed Access | Times Cited: 13
Density Clustering Algorithm Based on KD-Tree and Voting Rules
Hui Du, Zhiyuan Hu, Depeng Lu, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 79, Iss. 2, pp. 3239-3259
Open Access | Times Cited: 1
A Robust Multi-Sensor Data Fusion Clustering Algorithm Based on Density Peaks
Jiande Fan, Weixin Xie, Haocui Du
Sensors (2019) Vol. 20, Iss. 1, pp. 238-238
Open Access | Times Cited: 12
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