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 improved gravity model to identify influential nodes in complex networks based on k-shell method
Xuan Yang, Fuyuan Xiao
Knowledge-Based Systems (2021) Vol. 227, pp. 107198-107198
Closed Access | Times Cited: 126

Showing 1-25 of 126 citing articles:

A novel measure to identify influential nodes: Return Random Walk Gravity Centrality
Manuel Curado, Leandro Tortosa, José F. Vicent
Information Sciences (2023) Vol. 628, pp. 177-195
Closed Access | Times Cited: 47

The random walk-based gravity model to identify influential nodes in complex networks
Jie Zhao, Tao Wen, Hadi Jahanshahi, et al.
Information Sciences (2022) Vol. 609, pp. 1706-1720
Closed Access | Times Cited: 63

Identifying influential spreaders by gravity model considering multi-characteristics of nodes
Zhe Li, Xinyu Huang
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 45

A novel potential edge weight method for identifying influential nodes in complex networks based on neighborhood and position
Lei Meng, Guiqiong Xu, Pingle Yang, et al.
Journal of Computational Science (2022) Vol. 60, pp. 101591-101591
Closed Access | Times Cited: 43

A novel algorithm for identifying influential nodes in complex networks based on local propagation probability model
Guiqiong Xu, Lei Meng
Chaos Solitons & Fractals (2023) Vol. 168, pp. 113155-113155
Closed Access | Times Cited: 40

Ranking influential spreaders based on both node k-shell and structural hole
Zhili Zhao, Ding Li, Yue Sun, et al.
Knowledge-Based Systems (2022) Vol. 260, pp. 110163-110163
Closed Access | Times Cited: 39

Heterogeneous network influence maximization algorithm based on multi-scale propagation strength and repulsive force of propagation field
Chang Guo, Weimin Li, Jingchao Wang, et al.
Knowledge-Based Systems (2024) Vol. 291, pp. 111580-111580
Closed Access | Times Cited: 14

Identifying critical nodes in complex networks based on distance Laplacian energy
Rongrong Yin, Linhui Li, Yumeng Wang, et al.
Chaos Solitons & Fractals (2024) Vol. 180, pp. 114487-114487
Closed Access | Times Cited: 11

A Novel Method to Identify Key Nodes in Complex Networks Based on Degree and Neighborhood Information
Na Zhao, Shuangping Yang, Hao Wang, et al.
Applied Sciences (2024) Vol. 14, Iss. 2, pp. 521-521
Open Access | Times Cited: 9

Identifying influential nodes in complex networks based on improved local gravity model
Yongqing Wu, Tong B. Tang
Pramana (2025) Vol. 99, Iss. 1
Closed Access | Times Cited: 1

Community-based voting approach to enhance the spreading dynamics by identifying a group of influential spreaders in complex networks
Suman Nandi, Mariana Curado Malta, Giridhar Maji, et al.
Journal of Computational Science (2025), pp. 102540-102540
Closed Access | Times Cited: 1

CPR-TOPSIS: A novel algorithm for finding influential nodes in complex networks based on communication probability and relative entropy
Chen Dong, Guiqiong Xu, Lei Meng, et al.
Physica A Statistical Mechanics and its Applications (2022) Vol. 603, pp. 127797-127797
Closed Access | Times Cited: 32

CAGM: A communicability-based adaptive gravity model for influential nodes identification in complex networks
Guiqiong Xu, Dong Chen
Expert Systems with Applications (2023) Vol. 235, pp. 121154-121154
Closed Access | Times Cited: 21

LSS: A locality-based structure system to evaluate the spreader’s importance in social complex networks
Aman Ullah, Junming Shao, Qinli Yang, et al.
Expert Systems with Applications (2023) Vol. 228, pp. 120326-120326
Closed Access | Times Cited: 20

Influence maximization algorithm based on group trust and local topology structure
Chang Guo, Weimin Li, Fangfang Liu, et al.
Neurocomputing (2023) Vol. 564, pp. 126936-126936
Closed Access | Times Cited: 17

Identifying influential spreaders in complex networks by an improved gravity model
Zhe Li, Xinyu Huang
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 33

AOGC: An improved gravity centrality based on an adaptive truncation radius and omni-channel paths for identifying key nodes in complex networks
Pingle Yang, Fanyuan Meng, Laijun Zhao, et al.
Chaos Solitons & Fractals (2022) Vol. 166, pp. 112974-112974
Closed Access | Times Cited: 28

Influence maximization through exploring structural information
Qi Li, Le Cheng, Wei Wang, et al.
Applied Mathematics and Computation (2022) Vol. 442, pp. 127721-127721
Closed Access | Times Cited: 27

Improved centrality measure based on the adapted PageRank algorithm for urban transportation multiplex networks
Zhitao Li, Jinjun Tang, Chuyun Zhao, et al.
Chaos Solitons & Fractals (2022) Vol. 167, pp. 112998-112998
Closed Access | Times Cited: 26

Identifying influential ships in multi-ship encounter situation complex network based on improved WVoteRank approach
Yanting Tong, Zhen Rong, Han Dong, et al.
Ocean Engineering (2023) Vol. 284, pp. 115192-115192
Closed Access | Times Cited: 15

Identify influential nodes in social networks with graph multi-head attention regression model
Jiangheng Kou, Peng Jia, Jiayong Liu, et al.
Neurocomputing (2023) Vol. 530, pp. 23-36
Closed Access | Times Cited: 14

Vital spreaders identification synthesizing cross entropy and information entropy with Kshell method
Tianchi Tong, Qian Dong, Jinsheng Sun, et al.
Expert Systems with Applications (2023) Vol. 224, pp. 119928-119928
Closed Access | Times Cited: 14

Learning to rank influential nodes in complex networks via convolutional neural networks
Waseem Ahmad, Bang Wang, Si Chen
Applied Intelligence (2024) Vol. 54, Iss. 4, pp. 3260-3278
Closed Access | Times Cited: 6

Node importance evaluation method of complex network based on the fusion gravity model
Haoming Guo, Shuangling Wang, Xuefeng Yan, et al.
Chaos Solitons & Fractals (2024) Vol. 183, pp. 114924-114924
Closed Access | Times Cited: 6

IC-SNI: measuring nodes’ influential capability in complex networks through structural and neighboring information
Suman Nandi, Mariana Curado Malta, Giridhar Maji, et al.
Knowledge and Information Systems (2024) Vol. 67, Iss. 2, pp. 1309-1350
Closed Access | Times Cited: 5

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