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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:

Multi-Objective Teaching-Learning-Based Optimizer for a Multi-Weeding Robot Task Assignment Problem
Nianbo Kang, Zhonghua Miao, Quan-Ke Pan, et al.
Tsinghua Science & Technology (2024) Vol. 29, Iss. 5, pp. 1249-1265
Open Access | Times Cited: 20

Showing 20 citing articles:

A dual population collaborative genetic algorithm for solving flexible job shop scheduling problem with AGV
Xiaoqing Han, Weiyao Cheng, Leilei Meng, et al.
Swarm and Evolutionary Computation (2024) Vol. 86, pp. 101538-101538
Closed Access | Times Cited: 24
An effective collaboration evolutionary algorithm for multi-robot task allocation and scheduling in a smart farm
Hengwei Guo, Zhonghua Miao, Jinchen Ji, et al.
Knowledge-Based Systems (2024) Vol. 289, pp. 111474-111474
Closed Access | Times Cited: 19
Nondominated sorting genetic algorithm-II with Q-learning for the distributed permutation flowshop rescheduling problem
Xin-Rui Tao, Quan-Ke Pan, Hongyan Sang, et al.
Knowledge-Based Systems (2023) Vol. 278, pp. 110880-110880
Closed Access | Times Cited: 18
Inverse model and adaptive neighborhood search based cooperative optimizer for energy-efficient distributed flexible job shop scheduling
Shijie Cao, Rui Li, Wenyin Gong, et al.
Swarm and Evolutionary Computation (2023) Vol. 83, pp. 101419-101419
Closed Access | Times Cited: 18
Multi-Objective Multi-Picking-Robot Task Allocation: Mathematical Model and Discrete Artificial Bee Colony Algorithm
Lou-Lei Dai, Quan-Ke Pan, Zhonghua Miao, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 25, Iss. 6, pp. 6061-6073
Closed Access | Times Cited: 16
An effective multi-objective evolutionary algorithm for multiple spraying robots task assignment problem
Jin-Shuai Dong, Quan-Ke Pan, Zhonghua Miao, et al.
Swarm and Evolutionary Computation (2024) Vol. 87, pp. 101558-101558
Closed Access | Times Cited: 6
Effective metaheuristic and rescheduling strategies for the multi-AGV scheduling problem with sudden failure
Xue Wang, Wenqiang Zou, Leilei Meng, et al.
Expert Systems with Applications (2024) Vol. 250, pp. 123473-123473
Closed Access | Times Cited: 5
A multi-objective teaching-learning-based optimizer for a cooperative task allocation problem of weeding robots and spraying drones
Cun-Hai Wang, Quan-Ke Pan, Xiaoping Li, et al.
Swarm and Evolutionary Computation (2024) Vol. 87, pp. 101565-101565
Closed Access | Times Cited: 5
A two-stage hybrid NSGA-III with BWO for path planning and task allocation in agricultural land preparation
Maolin Yang, Yanhong Chen, Yongke Li, et al.
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0315670-e0315670
Open Access
SG-MOACO: a semi-greedy multi-objective ACO method for edge server placement in mobile edge computing
Shahla Havas, Sadoon Azizi, Alireza Abdollahpouri
Computing (2025) Vol. 107, Iss. 1
Closed Access
Scalable and energy-efficient task allocation in industry 4.0: Leveraging distributed auction and IBPSO
Qingwen Li, Tang Wai Fan, Siew-Kei Lam, et al.
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0314347-e0314347
Open Access
Multilevel structure fusion for community detection in heterogeneous graphs via disrupting heterophily
Minchen Dai, Weimin Li, Xinyi Zhang, et al.
Knowledge-Based Systems (2025), pp. 113362-113362
Closed Access
Joint scheduling of AGVs and parallel machines in an automated electrode foil production factory
Mengxi Tian, Hongyan Sang, Wen-Qiang Zou, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 122197-122197
Closed Access | Times Cited: 11
Deep reinforcement learning driven trajectory-based meta-heuristic for distributed heterogeneous flexible job shop scheduling problem
Qichen Zhang, Weishi Shao, Zhongshi Shao, et al.
Swarm and Evolutionary Computation (2024) Vol. 91, pp. 101753-101753
Closed Access | Times Cited: 2
A learning-based memetic algorithm for a cooperative task allocation problem of multiple unmanned aerial vehicles in smart agriculture
Teng-Yu Chen, Zhonghua Miao, Weimin Li, et al.
Swarm and Evolutionary Computation (2024) Vol. 91, pp. 101694-101694
Closed Access | Times Cited: 1
Hybrid loading situation vehicle routing problem in the context of agricultural harvesting: A reconstructed MOEA/D with parallel populations
Xiang Guo, Zhonghua Miao, Quan-Ke Pan, et al.
Swarm and Evolutionary Computation (2024) Vol. 91, pp. 101730-101730
Closed Access | Times Cited: 1
A Reinforcement Learning Driven Iterated Greedy Algorithm for Energy-Efficiency Flexible Job-Shop Scheduling Problem
Haizhu Bao, Chuang Wang, Quan-Ke Pan, et al.
(2024), pp. 374-379
Closed Access
Joint scheduling of hybrid flow-shop with limited automatic guided vehicles: A hierarchical learning-based swarm optimizer
Shengwei Xing, Zhongshi Shao, Weishi Shao, et al.
Computers & Industrial Engineering (2024) Vol. 198, pp. 110686-110686
Closed Access
A multi-strategy self-adaptive differential evolution algorithm for assembly hybrid flowshop lot-streaming scheduling with component sharing
Yiling Lu, Qiuhua Tang, Shujun Yu, et al.
Swarm and Evolutionary Computation (2024) Vol. 92, pp. 101783-101783
Closed Access
Optimization of task assignment for multi-farm multi-weeding robots based on discrete artificial bee colony algorithm
Jiong-Yu Chen, Quan-Ke Pan, Janis S. Neufeld, et al.
Expert Systems with Applications (2024), pp. 126182-126182
Closed Access
Integrated optimization of multi-station multi-robot assembly welding line: Application for automotive industry
Ye Wang, Xuewu Wang, Sanyan Chen, et al.
Expert Systems with Applications (2024) Vol. 267, pp. 126116-126116
Closed Access
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