Ling Wang

35.2k total citations · 11 hit papers
851 papers, 25.5k citations indexed

About

Ling Wang is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Ling Wang has authored 851 papers receiving a total of 25.5k indexed citations (citations by other indexed papers that have themselves been cited), including 229 papers in Industrial and Manufacturing Engineering, 210 papers in Artificial Intelligence and 138 papers in Electrical and Electronic Engineering. Recurrent topics in Ling Wang's work include Scheduling and Optimization Algorithms (187 papers), Metaheuristic Optimization Algorithms Research (155 papers) and Advanced Manufacturing and Logistics Optimization (137 papers). Ling Wang is often cited by papers focused on Scheduling and Optimization Algorithms (187 papers), Metaheuristic Optimization Algorithms Research (155 papers) and Advanced Manufacturing and Logistics Optimization (137 papers). Ling Wang collaborates with scholars based in China, United States and United Kingdom. Ling Wang's co-authors include Qie He, Quan-Ke Pan, Bo Liu, Shengyao Wang, Wenyin Gong, Fuqing Zhao, Yihui Jin, Xiao-long Zheng, Ye Xu and Jingjing Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.

In The Last Decade

Ling Wang

777 papers receiving 24.7k citations

Hit Papers

An effective co-evolutionary particle swarm optimization ... 2005 2026 2012 2019 2006 2005 2006 2006 2007 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. An effective co-evolutionary particle swarm optimization for constrained engineering design problems
    2006 894 citations Ling Wang et al. Engineering Applications of Artificial Intelligence profile →
  2. Improved particle swarm optimization combined with chaos
    2005 756 citations Ling Wang et al. profile →
  3. An effective co-evolutionary differential evolution for constrained optimization
    2006 460 citations Ling Wang et al. profile →
  4. A hybrid particle swarm optimization with a feasibility-based rule for constrained optimization
    2006 388 citations Ling Wang et al. profile →
  5. An Effective PSO-Based Memetic Algorithm for Flow Shop Scheduling
    2007 364 citations Ling Wang et al. profile →
  6. Transition-Based Dependency Parsing with Stack Long Short-Term Memory
    2015 355 citations Chris Dyer, Miguel Ballesteros et al. profile →
  7. A Review of Reinforcement Learning Based Intelligent Optimization for Manufacturing Scheduling
    2021 195 citations Ling Wang, Zixiao Pan et al. profile →
  8. A Hyperheuristic With Q-Learning for the Multiobjective Energy-Efficient Distributed Blocking Flow Shop Scheduling Problem
    2022 172 citations Fuqing Zhao, Ling Wang et al. profile →
  9. A Learning-Based Memetic Algorithm for Energy-Efficient Flexible Job-Shop Scheduling With Type-2 Fuzzy Processing Time
    2022 150 citations Rui Li, Wenyin Gong et al. profile →
  10. Hierarchy Ranking Method for Multimodal Multiobjective Optimization With Local Pareto Fronts
    2022 129 citations Tao Zhang, Rui Wang et al. profile →
  11. An Iterative Greedy Algorithm With Q-Learning Mechanism for the Multiobjective Distributed No-Idle Permutation Flowshop Scheduling
    2024 54 citations Fuqing Zhao, Ling Wang et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ling Wang China 84 9.8k 9.0k 4.4k 3.0k 2.9k 851 25.5k
Sakshi Agarwal India 6 4.4k 0.4× 9.6k 1.1× 10.7k 2.5× 4.1k 1.4× 5.7k 2.0× 27 34.1k
Amrit Pratap United States 4 4.4k 0.4× 9.6k 1.1× 10.7k 2.5× 4.1k 1.4× 5.7k 2.0× 5 34.1k
Zbigniew Michalewicz Australia 48 3.7k 0.4× 10.9k 1.2× 5.9k 1.3× 3.7k 1.2× 2.8k 1.0× 175 24.7k
Derviş Karaboğa Türkiye 50 3.0k 0.3× 13.6k 1.5× 5.2k 1.2× 3.7k 1.2× 4.6k 1.6× 134 26.8k
Thomas Stützle Belgium 48 5.8k 0.6× 8.6k 0.9× 4.7k 1.1× 1.6k 0.5× 1.7k 0.6× 232 18.9k
Xin‐She Yang United Kingdom 67 2.8k 0.3× 16.7k 1.8× 7.6k 1.7× 4.6k 1.5× 6.7k 2.3× 325 34.1k
Riccardo Poli United Kingdom 38 1.9k 0.2× 10.0k 1.1× 3.6k 0.8× 3.5k 1.2× 4.1k 1.4× 252 23.3k
Pãnos M. Pardalos United States 60 4.4k 0.4× 2.7k 0.3× 2.7k 0.6× 2.0k 0.7× 1.7k 0.6× 516 15.0k
Zhiwu Li China 71 6.9k 0.7× 2.3k 0.3× 8.6k 2.0× 1.9k 0.6× 1.9k 0.6× 731 18.2k
Lothar Thiele Switzerland 60 3.2k 0.3× 12.3k 1.4× 14.7k 3.4× 2.9k 1.0× 5.2k 1.8× 510 33.3k

Countries citing papers authored by Ling Wang

Since Specialization
Citations

This map shows the geographic impact of Ling Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ling Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Wang more than expected).

Fields of papers citing papers by Ling Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ling Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ling Wang. The network helps show where Ling Wang may publish in the future.

Co-authorship network of co-authors of Ling Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Ling Wang. A scholar is included among the top collaborators of Ling Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ling Wang. Ling Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Li, Qingsong, Lu Liu, Ling Wang, et al.. (2024). Marine thermal fluctuation induced gluconeogenesis by the transcriptional regulation of CgCREBL2 in Pacific oysters. Marine Pollution Bulletin. 207. 116906–116906. 2 indexed citations
3.
Ming, Fei, et al.. (2024). Constrained multi-objective optimization evolutionary algorithm for real-world continuous mechanical design problems. Engineering Applications of Artificial Intelligence. 135. 108673–108673. 8 indexed citations
4.
Zhang, Tao, et al.. (2024). An evolutionary algorithm based on fully connected weight networks for mixed-variable multi-objective optimization. Information Sciences. 659. 120053–120053. 3 indexed citations
5.
Gao, Weifeng, et al.. (2024). Effective transferred knowledge identified by bipartite graph for multiobjective multitasking optimization. Knowledge-Based Systems. 290. 111530–111530. 3 indexed citations
6.
Wu, Guohua, et al.. (2024). A comprehensive survey of weapon target assignment problem: Model, algorithm, and application. Engineering Applications of Artificial Intelligence. 137. 109212–109212. 4 indexed citations
7.
Zhang, Guangyi, et al.. (2024). An optical field regulation method for waterjet-guided laser: Reducing taper and improving deep-processing capability. Journal of Materials Processing Technology. 334. 118637–118637. 2 indexed citations
8.
Li, Rui, et al.. (2024). Evolutionary computation and reinforcement learning integrated algorithm for distributed heterogeneous flowshop scheduling. Engineering Applications of Artificial Intelligence. 135. 108775–108775. 13 indexed citations
9.
Yang, Yuanyuan, et al.. (2024). Q-learning based hyper-heuristic with clustering strategy for combinatorial optimization: A case study on permutation flow-shop scheduling problem. Computers & Operations Research. 173. 106833–106833. 3 indexed citations
10.
Xie, Jin, et al.. (2024). A fully decentralized distributed learning algorithm for latency communication networks. Knowledge-Based Systems. 309. 112829–112829.
11.
Wang, Yuliang, et al.. (2024). Study on frequency domain impedance of wide-shallow composite bucket foundation for offshore wind turbine. Ocean Engineering. 303. 117708–117708. 2 indexed citations
12.
Zhao, Fuqing, et al.. (2023). An inverse reinforcement learning framework with the Q-learning mechanism for the metaheuristic algorithm. Knowledge-Based Systems. 265. 110368–110368. 27 indexed citations
13.
Zhang, Jiawei, Ling Wang, Tingting Wang, et al.. (2023). Long side-chain N-heterocyclic cation based ionic liquid grafted poly(terphenyl piperidinium) membranes for anion exchange membrane fuel cell applications. Polymer. 286. 126404–126404. 58 indexed citations
14.
Wang, Ling, et al.. (2023). A cooperative coevolutionary algorithm with problem-specific knowledge for energy-efficient scheduling in seru system. Knowledge-Based Systems. 274. 110663–110663. 15 indexed citations
15.
Su, Yongxin, Tao Zhang, Mengyao Xu, et al.. (2023). Rough knowledge enhanced dueling deep Q-network for household integrated demand response optimization. Sustainable Cities and Society. 101. 105065–105065. 7 indexed citations
16.
Hu, Xiuqing, Ling Wang, Peng Zhang, et al.. (2023). Overview of historical data retrospective calibration for space-borne optical payloads. National Remote Sensing Bulletin. 27(10). 2229–2251.
17.
Zhao, Fuqing, Zhenyu Wang, Ling Wang, et al.. (2023). An exploratory landscape analysis driven artificial bee colony algorithm with maximum entropic epistasis. Applied Soft Computing. 137. 110139–110139. 7 indexed citations
18.
Wang, Jingjing, et al.. (2023). A cooperative memetic algorithm for energy-aware distributed welding shop scheduling problem. Engineering Applications of Artificial Intelligence. 120. 105877–105877. 34 indexed citations
19.
Wang, Ling, et al.. (2023). A Review of Tags Anti-Collision Identification Methods Used in RFID Technology. Electronics. 12(17). 3644–3644. 9 indexed citations
20.
Dyer, Chris, Miguel Ballesteros, Ling Wang, Austin Matthews, & Noah A. Smith. (2015). Transition-Based Dependency Parsing with Stack Long Short-Term Memory. 334–343. 355 indexed citations breakdown →

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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