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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 two-stage VIKOR assisted multi-operator differential evolution approach for Influence Maximization in social networks
Tarun Kumer Biswas, Alireza Abbasi, Ripon K. Chakrabortty
Expert Systems with Applications (2021) Vol. 192, pp. 116342-116342
Closed Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Analysis of Environmental Priorities for Green Project Investments Using an Integrated q-Rung Orthopair Fuzzy Modeling
Hasan Dınçer, Serhat Yüksel, Alexey Mikhaylov, et al.
IEEE Access (2022) Vol. 10, pp. 50996-51007
Open Access | Times Cited: 45
TSIFIM: A three-stage iterative framework for influence maximization in complex networks
Chen Dong, Guiqiong Xu, Pingle Yang, et al.
Expert Systems with Applications (2022) Vol. 212, pp. 118702-118702
Closed Access | Times Cited: 32
Application of M-SWARA and TOPSIS Methods in the Evaluation of Investment Alternatives of Microgeneration Energy Technologies
Hasan Dınçer, Serhat Yüksel, Tamer Aksoy, et al.
Sustainability (2022) Vol. 14, Iss. 10, pp. 6271-6271
Open Access | Times Cited: 26
Multi-operator immune genetic algorithm for project scheduling with discounted cash flows
Md. Asadujjaman, Humyun Fuad Rahman, Ripon K. Chakrabortty, et al.
Expert Systems with Applications (2022) Vol. 195, pp. 116589-116589
Closed Access | Times Cited: 24
Methods to balance the exploration and exploitation in Differential Evolution from different scales: A survey
Yanyun Zhang, Guanyu Chen, Cheng Li, et al.
Neurocomputing (2023) Vol. 561, pp. 126899-126899
Closed Access | Times Cited: 13
PHEE: Identifying influential nodes in social networks with a phased evaluation-enhanced search
Enqiang Zhu, Haosen Wang, Yu Zhang, et al.
Neurocomputing (2023) Vol. 572, pp. 127195-127195
Closed Access | Times Cited: 13
An improved multi-operator differential evolution via a knowledge-guided information sharing strategy for global optimization
Zhuoming Yuan, Lei Peng, Guangming Dai, et al.
Expert Systems with Applications (2025), pp. 126403-126403
Closed Access
CoHide: Overlapping community hiding algorithm based on multi-criteria learning optimization
Zixuan Han, Leilei Shi, Y. D. Wang, et al.
Peer-to-Peer Networking and Applications (2025) Vol. 18, Iss. 2
Closed Access
Learning automata-enabled ant colony optimization for group influence maximization in social networks: a two-stage approach
Gouri Kundu, Sankhayan Choudhury
Social Network Analysis and Mining (2025) Vol. 15, Iss. 1
Open Access
A Landscape-Aware Discrete Particle Swarm Optimization for the Influence Maximization Problem in Social Networks
Baoqiang Chai, Junwei Fu, Ruisheng Zhang, et al.
Symmetry (2025) Vol. 17, Iss. 3, pp. 435-435
Open Access
New success likelihood index model for large group human reliability analysis considering noncooperative behaviors and social network
Hu‐Chen Liu, Jinghui Wang, Ling Zhang, et al.
Reliability Engineering & System Safety (2022) Vol. 228, pp. 108817-108817
Closed Access | Times Cited: 16
A new community-based algorithm based on a “peak-slope-valley” structure for influence maximization on social networks
Pingle Yang, Laijun Zhao, Zhi Lü, et al.
Chaos Solitons & Fractals (2023) Vol. 173, pp. 113720-113720
Closed Access | Times Cited: 8
Influence Maximization in social networks using discretized Harris’ Hawks Optimization algorithm
Inder Khatri, Arjun Choudhry, Aryaman Rao, et al.
Applied Soft Computing (2023) Vol. 149, pp. 111037-111037
Closed Access | Times Cited: 7
An improved multi-operator differential evolution with two-phase migration strategy for numerical optimization
Zhuoming Yuan, Lei Peng, Guangming Dai, et al.
Information Sciences (2024) Vol. 669, pp. 120548-120548
Closed Access | Times Cited: 2
Identifying top-k influential nodes in social networks: a discrete hybrid optimizer by integrating butterfly optimization algorithm with differential evolution
Jianxin Tang, Hongyu Zhu, Lihong Han, et al.
The Journal of Supercomputing (2024) Vol. 80, Iss. 13, pp. 19624-19668
Closed Access | Times Cited: 2
A proportional, integral and derivative differential evolution algorithm for global optimization
Ruiye Jiang, Rajan Shankaran, Songyan Wang, et al.
Expert Systems with Applications (2022) Vol. 206, pp. 117669-117669
Closed Access | Times Cited: 12
Graph-based modeling using association rule mining to detect influential users in social networks
Tarik Agouti
Expert Systems with Applications (2022) Vol. 202, pp. 117436-117436
Closed Access | Times Cited: 10
Extending influence maximization by optimizing the network topology
Shuxin Yang, Jianbin Song, Suxin Tong, et al.
Expert Systems with Applications (2022) Vol. 215, pp. 119349-119349
Closed Access | Times Cited: 9
Optimizing group-oriented multiple attribute decision-making method based on dominance-based rough set model with advantaged (disadvantaged) neighborhoods
Bin Yu, Ruihui Xu, Zeshui Xu, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 124, pp. 106602-106602
Closed Access | Times Cited: 5
A pool-based simulated annealing approach for preference-aware influence maximisation in social networks
Xiaoxue Liu, Shōhei Kato, Wen Gu, et al.
Knowledge-Based Systems (2024) Vol. 300, pp. 112229-112229
Closed Access | Times Cited: 1
Non-Uniform Influence Blocking Maximization in Social Network
Mohammad Ali Manouchehri, Mohammad Sadegh Helfroush, Habibollah Danyali
Expert Systems with Applications (2022) Vol. 207, pp. 118052-118052
Closed Access | Times Cited: 7
An improved clustering based multi-objective evolutionary algorithm for influence maximization under variable-length solutions
Tarun Kumer Biswas, Alireza Abbasi, Ripon K. Chakrabortty
Knowledge-Based Systems (2022) Vol. 256, pp. 109856-109856
Closed Access | Times Cited: 7
Analysis of Influence of Behavioral Adoption Threshold Diversity on Multi-Layer Network
Gang Deng, Yuting Peng, Yang Tian, et al.
Entropy (2023) Vol. 25, Iss. 3, pp. 458-458
Open Access | Times Cited: 3
Identifying influential nodes for influence maximization problem in social networks using an improved discrete particle swarm optimization
Jianxin Tang, Hongyu Zhu, Jimao Lan, et al.
Social Network Analysis and Mining (2023) Vol. 13, Iss. 1
Closed Access | Times Cited: 3
Identification of influential users in social media network using golden ratio optimization method
M. Venunath, Pothula Sujatha, Prasad Koti
Soft Computing (2023) Vol. 28, Iss. 3, pp. 2207-2222
Closed Access | Times Cited: 3
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