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 evolutionary autoencoder for dynamic community detection
Zhen Wang, Chunyu Wang, Chao Gao, et al.
Science China Information Sciences (2020) Vol. 63, Iss. 11
Closed Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

A Comprehensive Survey on Community Detection With Deep Learning
Xing Su, Shan Xue, Fanzhen Liu, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 4, pp. 4682-4702
Open Access | Times Cited: 140

A Novel Representation Learning for Dynamic Graphs Based on Graph Convolutional Networks
Chao Gao, Junyou Zhu, Fan Zhang, et al.
IEEE Transactions on Cybernetics (2022) Vol. 53, Iss. 6, pp. 3599-3612
Closed Access | Times Cited: 95

Generalized quantum evidence theory
Fuyuan Xiao
Applied Intelligence (2022) Vol. 53, Iss. 11, pp. 14329-14344
Closed Access | Times Cited: 74

A complex Jensen–Shannon divergence in complex evidence theory with its application in multi-source information fusion
Wentao Fan, Fuyuan Xiao
Engineering Applications of Artificial Intelligence (2022) Vol. 116, pp. 105362-105362
Closed Access | Times Cited: 43

A contrastive learning strategy for optimizing node non-alignment in dynamic community detection
Xiaohong Li, Wanyao Shi, Qixuan Peng, et al.
Neurocomputing (2025), pp. 129548-129548
Closed Access | Times Cited: 1

A review of heuristics and metaheuristics for community detection in complex networks: Current usage, emerging development and future directions
Bara’a A. Attea, Amenah D. Abbood, Ammar A. Hasan, et al.
Swarm and Evolutionary Computation (2021) Vol. 63, pp. 100885-100885
Closed Access | Times Cited: 54

What information sources can prevent the epidemic: Local information or kin information?
Rongcheng Zou, Xiaofang Duan, Zhen Han, et al.
Chaos Solitons & Fractals (2023) Vol. 168, pp. 113104-113104
Closed Access | Times Cited: 18

Motif-Based Contrastive Learning for Community Detection
X. Wu, Chang‐Dong Wang, Jiaqi Lin, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024) Vol. 35, Iss. 9, pp. 11706-11719
Closed Access | Times Cited: 6

A novel graph oversampling framework for node classification in class-imbalanced graphs
Riting Xia, Chunxu Zhang, Yan Zhang, et al.
Science China Information Sciences (2024) Vol. 67, Iss. 6
Closed Access | Times Cited: 5

The impact of information dissemination on vaccination in multiplex networks
LI Xiao-jie, Cong Li, Xiang Li
Science China Information Sciences (2022) Vol. 65, Iss. 7
Open Access | Times Cited: 21

A Novel Tensor Learning Model for Joint Relational Triplet Extraction
Zhen Wang, Hongyi Nie, Wei Zheng, et al.
IEEE Transactions on Cybernetics (2023) Vol. 54, Iss. 4, pp. 2483-2494
Closed Access | Times Cited: 11

Stochastic Block Models for Complex Network Analysis: A Survey
Xueyan Liu, Wenzhuo Song, Katarzyna Musiał, et al.
ACM Transactions on Knowledge Discovery from Data (2025)
Open Access

CeDFormer: Community Enhanced Transformer for Dynamic Network Embedding
Jiaqi Guo, Tianpeng Li, Minglai Shao, et al.
Lecture notes in computer science (2025), pp. 37-53
Closed Access

Generating prediction clustering graph network analysis data from masked time series with GANs
Radhia Toujani, Fatma Hendaoui, Ahlem Ferchichi, et al.
Neural Computing and Applications (2025)
Closed Access

Adaptive graph clustering based on feature adversarial and graph transformer
Weitong Zhang, Xinhua Zhu, Ronghua Shang, et al.
Expert Systems with Applications (2025), pp. 127541-127541
Closed Access

BCDAN: A balanced method for community detection in attributed networks
Yuchen Liu, Yabin Peng, Hongchang Chen, et al.
Neurocomputing (2025), pp. 130411-130411
Closed Access

Investigation of stock price network based on time series analysis and complex network
Xiaodong Cui, Jun Hu, Yiming Ma, et al.
International Journal of Modern Physics B (2021) Vol. 35, Iss. 13, pp. 2150171-2150171
Closed Access | Times Cited: 16

Higher Order Knowledge Transfer for Dynamic Community Detection With Great Changes
Huixin Ma, Kai Wu, Handing Wang, et al.
IEEE Transactions on Evolutionary Computation (2023) Vol. 28, Iss. 1, pp. 90-104
Open Access | Times Cited: 5

Normal distribution based on maximum Deng entropy
Siran Li, Fuyuan Xiao
Chaos Solitons & Fractals (2023) Vol. 167, pp. 113057-113057
Closed Access | Times Cited: 4

Information dimension based on Deng entropy
Mingli Lei
Physica A Statistical Mechanics and its Applications (2022) Vol. 600, pp. 127584-127584
Closed Access | Times Cited: 7

Community detection by influential nodes based on random walk distance
Marjan Mokhtari, Mahdi Kherad
Concurrency and Computation Practice and Experience (2024) Vol. 36, Iss. 17
Closed Access | Times Cited: 1

UniNet: Scalable Network Representation Learning with Metropolis-Hastings Sampling
Xingyu Yao, Yingxia Shao, Bin Cui, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2021), pp. 516-527
Open Access | Times Cited: 8

A new nature-inspired optimization for community discovery in complex networks
Xiaoyu Li, Chao Gao, Songxin Wang, et al.
The European Physical Journal B (2021) Vol. 94, Iss. 7
Closed Access | Times Cited: 8

Contrastive Graph Learning for Social Recommendation
Yongshuai Zhang, Jiajin Huang, Mi Li, et al.
Frontiers in Physics (2022) Vol. 10
Open Access | Times Cited: 6

An improved belief $$\chi ^2$$ divergence for Dempster–Shafer theory and its applications in pattern recognition
Xueyuan Gao, Fuyuan Xiao
Computational and Applied Mathematics (2022) Vol. 41, Iss. 6
Closed Access | Times Cited: 6

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