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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:

An effective partitional clustering algorithm based on new clustering validity index
Erzhou Zhu, Ruhui Ma
Applied Soft Computing (2018) Vol. 71, pp. 608-621
Closed Access | Times Cited: 68

Showing 1-25 of 68 citing articles:

K-means clustering algorithms: A comprehensive review, variants analysis, and advances in the era of big data
Abiodun M. Ikotun, Absalom E. Ezugwu, Laith Abualigah, et al.
Information Sciences (2022) Vol. 622, pp. 178-210
Closed Access | Times Cited: 811
A Fuzzy Clustering Validity Index Induced by Triple Center Relation
Yiming Tang, Jiajia Huang, Witold Pedrycz, et al.
IEEE Transactions on Cybernetics (2023) Vol. 53, Iss. 8, pp. 5024-5036
Closed Access | Times Cited: 40
Hybrid based cluster head selection for maximizing network lifetime and energy efficiency in WSN
Navnath D. Kale, K. Raghava Rao
Journal of King Saud University - Computer and Information Sciences (2019) Vol. 34, Iss. 3, pp. 716-726
Open Access | Times Cited: 129
A Novel Clustering Algorithm Based on DPC and PSO
Jianghui Cai, Huiling Wei, Haifeng Yang, et al.
IEEE Access (2020) Vol. 8, pp. 88200-88214
Open Access | Times Cited: 66
Fast and stable clustering analysis based on Grid-mapping K-means algorithm and new clustering validity index
Erzhou Zhu, Zhang Yuan-xiang, Peng Wen, et al.
Neurocomputing (2019) Vol. 363, pp. 149-170
Closed Access | Times Cited: 63
A survey of fuzzy clustering validity evaluation methods
Hong-Yu Wang, Jie-Sheng Wang, Guan Wang
Information Sciences (2022) Vol. 618, pp. 270-297
Closed Access | Times Cited: 32
From A-to-Z Review of Clustering Validation Indices
Bryar A. Hassan, Noor Bahjat Tayfor, Alla Ahmad Hassan, et al.
Neurocomputing (2024) Vol. 601, pp. 128198-128198
Closed Access | Times Cited: 5
CNAK: Cluster number assisted K-means
Jayasree Saha, Jayanta Mukherjee
Pattern Recognition (2020) Vol. 110, pp. 107625-107625
Open Access | Times Cited: 49
Identification of the pollution sources and hidden clustering patterns for potentially toxic elements in typical peri-urban agricultural soils in southern China
Haofan Xu, Peng Hu, Hailong Wang, et al.
Environmental Pollution (2025), pp. 125904-125904
Open Access
A Novel Algorithm for Initial Cluster Center Selection
Yating Li, Jianghui Cai, Haifeng Yang, et al.
IEEE Access (2019) Vol. 7, pp. 74683-74693
Open Access | Times Cited: 36
ISBFK-means: A new clustering algorithm based on influence space
Yuqing Yang, Jianghui Cai, Haifeng Yang, et al.
Expert Systems with Applications (2022) Vol. 201, pp. 117018-117018
Closed Access | Times Cited: 16
Flexible interactive control method for multi-scenario sharing of hybrid pumped storage-wind-photovoltaic power generation
Xiaojuan Han, Fuxing Lv, Jiarong Li, et al.
Journal of Energy Storage (2024) Vol. 100, pp. 113590-113590
Closed Access | Times Cited: 3
Ensembling validation indices to estimate the optimal number of clusters
Bilal Sowan, Tzung‐Pei Hong, Ahmad Al–Qerem, et al.
Applied Intelligence (2022) Vol. 53, Iss. 9, pp. 9933-9957
Closed Access | Times Cited: 11
An effective clustering scheme for high-dimensional data
Xuansen He, Fan He, Yueping Fan, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 15, pp. 45001-45045
Closed Access | Times Cited: 5
FINANCIAL RISKS OF RUSSIAN OIL COMPANIES IN CONDITIONS OF VOLATILITY OF GLOBAL OIL PRICES
Sergey Chikunov, Vadim V. Ponkratov, А. A. Sokolov, et al.
International Journal of Energy Economics and Policy (2019) Vol. 9, Iss. 3, pp. 18-29
Open Access | Times Cited: 14
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: 14
Neighboring-Aware Hierarchical Clustering
Ali A. Amer, Muna Al‐Razgan, Hassan I. Abdalla, et al.
International Journal on Semantic Web and Information Systems (2024) Vol. 20, Iss. 1, pp. 1-24
Open Access | Times Cited: 1
Efficient big data security analysis on HDFS based on combination of clustering and data perturbation algorithm using health care database
V. Santhana Marichamy, V. Natarajan
Journal of Intelligent & Fuzzy Systems (2022) Vol. 43, Iss. 3, pp. 3355-3372
Closed Access | Times Cited: 6
Total-aware suppressed possibilistic c-means clustering
Chengmao Wu, Xue Xiao
Measurement (2023) Vol. 219, pp. 113183-113183
Closed Access | Times Cited: 3
Determining rural development priorities using a hybrid clustering approach: a case study of South Sulawesi, Indonesia
Muhammad Faisal, Titik Khawa, Abdul Rahman
International Journal of Advanced Technology and Engineering Exploration (2023) Vol. 10, Iss. 103
Open Access | Times Cited: 3
THSI-RP: A two-tier hybrid swarm intelligence based node clustering and multi-hop routing protocol optimization for wireless sensor networks
Xuan Yang, Jiaqi Yan, Desheng Wang, et al.
Ad Hoc Networks (2023) Vol. 149, pp. 103255-103255
Closed Access | Times Cited: 3
Explainability with Association Rule Learning for Weather Forecast
Lassana Coulibaly, Bernard Kamsu-Foguem, Fana Tangara
SN Computer Science (2021) Vol. 2, Iss. 2
Closed Access | Times Cited: 6
Hybridization of Pigeon inspired with glowworm' swarm optimization based clustering technique in wireless sensor networks
R.M. Alamelu, K. Prabu
Microprocessors and Microsystems (2022) Vol. 91, pp. 104528-104528
Closed Access | Times Cited: 4
A Multi-objective Approach for Inter-cluster and Intra-cluster Distance Analysis for Numeric Data
Abin Jose, Pranesh Das
Lecture notes in networks and systems (2022), pp. 319-332
Closed Access | Times Cited: 4
DPCF: A framework for imputing missing values and clustering data in drug discovery process
Hutashan Vishal Bhagat, Manminder Singh
Chemometrics and Intelligent Laboratory Systems (2022) Vol. 231, pp. 104686-104686
Closed Access | Times Cited: 4
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