Jing Liang

23.0k total citations · 11 hit papers
413 papers, 17.1k citations indexed

About

Jing Liang is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Electrical and Electronic Engineering. According to data from OpenAlex, Jing Liang has authored 413 papers receiving a total of 17.1k indexed citations (citations by other indexed papers that have themselves been cited), including 173 papers in Artificial Intelligence, 123 papers in Computational Theory and Mathematics and 65 papers in Electrical and Electronic Engineering. Recurrent topics in Jing Liang's work include Metaheuristic Optimization Algorithms Research (137 papers), Advanced Multi-Objective Optimization Algorithms (115 papers) and Evolutionary Algorithms and Applications (89 papers). Jing Liang is often cited by papers focused on Metaheuristic Optimization Algorithms Research (137 papers), Advanced Multi-Objective Optimization Algorithms (115 papers) and Evolutionary Algorithms and Applications (89 papers). Jing Liang collaborates with scholars based in China, Singapore and United States. Jing Liang's co-authors include Ponnuthurai Nagaratnam Suganthan, Boyang Qu, A. K. Qin, S. Baskar, Caitong Yue, Kunjie Yu, Kalyanmoy Deb, Santosh Kumar Tiwari, Anne Auger and Nikolaus Hansen and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and Advanced Materials.

In The Last Decade

Jing Liang

371 papers receiving 16.6k citations

Hit Papers

Comprehensive learning particle swarm optimizer for globa... 2005 2026 2012 2019 2006 2005 2013 2017 2017 500 1000 1.5k 2.0k 2.5k
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. Comprehensive learning particle swarm optimizer for global optimization of multimodal functions
    2006 2.9k citations Jing Liang et al. profile →
  2. Problem Definitions and Evaluation Criteria for the CEC 2005 Special Session on Real-Parameter Optimization
    2005 2.0k citations Jing Liang et al. profile →
  3. Problem Definitions and Evaluation Criteria for the CEC 2013 Special Session on Real-Parameter Optimization
    2013 540 citations Jing Liang, Boyang Qu et al. profile →
  4. Parameters identification of photovoltaic models using an improved JAYA optimization algorithm
    2017 467 citations Kunjie Yu, Jing Liang et al. Energy Conversion and Management profile →
  5. A Multiobjective Particle Swarm Optimizer Using Ring Topology for Solving Multimodal Multiobjective Problems
    2017 415 citations Caitong Yue, Boyang Qu et al. profile →
  6. A performance-guided JAYA algorithm for parameters identification of photovoltaic cell and module
    2019 377 citations Kunjie Yu, Boyang Qu et al. profile →
  7. Differential Evolution With Neighborhood Mutation for Multimodal Optimization
    2012 340 citations Boyang Qu, Jing Liang et al. profile →
  8. A Survey on Evolutionary Constrained Multiobjective Optimization
    2022 242 citations Jing Liang, Kunjie Yu et al. profile →
  9. An Evolutionary Multitasking Optimization Framework for Constrained Multiobjective Optimization Problems
    2022 177 citations Kangjia Qiao, Kunjie Yu et al. profile →
  10. Dynamic Auxiliary Task-Based Evolutionary Multitasking for Constrained Multiobjective Optimization
    2022 143 citations Kangjia Qiao, Kunjie Yu et al. profile →
  11. Underwater Image Enhancement via Wavelet Decomposition Fusion of Advantage Contrast
    2025 15 citations Jing Liang 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
Jing Liang China 53 11.5k 7.5k 2.5k 2.2k 1.5k 413 17.1k
Seyed Mohammad Mirjalili Iran 18 10.4k 0.9× 4.4k 0.6× 5.7k 2.3× 3.9k 1.8× 842 0.6× 37 22.1k
Leandro dos Santos Coelho Brazil 69 5.9k 0.5× 2.4k 0.3× 5.3k 2.1× 3.0k 1.4× 734 0.5× 413 16.1k
Boyang Qu China 43 6.6k 0.6× 4.9k 0.7× 1.2k 0.5× 1.0k 0.5× 1.3k 0.9× 168 9.5k
Essam H. Houssein Egypt 56 6.3k 0.6× 2.2k 0.3× 2.4k 1.0× 1.4k 0.6× 686 0.5× 259 11.9k
Suash Deb Macao 36 6.5k 0.6× 2.8k 0.4× 2.5k 1.0× 1.6k 0.7× 312 0.2× 93 12.3k
Ibrahim Aljarah Jordan 48 8.0k 0.7× 2.4k 0.3× 2.0k 0.8× 1.4k 0.6× 326 0.2× 117 13.3k
Mingjing Wang China 47 5.9k 0.5× 2.0k 0.3× 1.9k 0.7× 839 0.4× 1.2k 0.8× 121 10.1k
Shahrzad Saremi Australia 15 4.7k 0.4× 2.4k 0.3× 2.5k 1.0× 1.6k 0.7× 335 0.2× 23 9.7k
Ling Wang China 84 9.0k 0.8× 4.4k 0.6× 2.9k 1.2× 3.0k 1.4× 1000 0.7× 851 25.5k
Bahriye Akay Türkiye 32 7.2k 0.6× 3.1k 0.4× 2.0k 0.8× 1.8k 0.8× 204 0.1× 56 13.5k

Countries citing papers authored by Jing Liang

Since Specialization
Citations

This map shows the geographic impact of Jing Liang'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 Jing Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Liang more than expected).

Fields of papers citing papers by Jing Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jing Liang. 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 Jing Liang. The network helps show where Jing Liang may publish in the future.

Co-authorship network of co-authors of Jing Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Liang. A scholar is included among the top collaborators of Jing Liang 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 Jing Liang. Jing Liang 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.
Lu, Nannan, Yanhong Yang, Jing Liang, et al.. (2025). Evolution of residual stress and microstructure in single crystal superalloys via directed energy deposition. Optics & Laser Technology. 186. 112775–112775. 1 indexed citations
2.
Wang, Jiale, et al.. (2025). Enhancing sourdough fermentation with AI and multi-omics: From natural diversity to synthetic microbial community. Trends in Food Science & Technology. 165. 105233–105233. 1 indexed citations
3.
Yue, Caitong, et al.. (2025). A multimodal multiobjective evolutionary algorithm based on neighborhood and enhanced special crowding distance. Knowledge-Based Systems. 315. 113340–113340. 1 indexed citations
4.
Wu, Bin, et al.. (2025). Disentangled Graph Contrastive Learning for Socially-Aware Next-Item Recommendation. IEEE Transactions on Big Data. 11(6). 3197–3211.
5.
Liao, Yuefeng, et al.. (2025). Power Sharing Control Strategy of ISOP LLC-DAB Hybrid Bidirectional Converters Based on Multiagent Consensus Theory. IEEE Transactions on Industrial Electronics. 72(10). 10290–10300. 1 indexed citations
6.
Wang, Ting, Jialu Chen, Youcai Zhang, et al.. (2025). The microstructure evolution and performance enhancement mechanism of a novel laser cladding 20CrNiMoBSiY high-temperature alloy with high wear and corrosion resistance. Surface and Coatings Technology. 508. 132178–132178. 6 indexed citations
7.
Liang, Jing, et al.. (2024). Multimodal multiobjective differential evolution algorithm based on enhanced decision space search. Swarm and Evolutionary Computation. 90. 101682–101682. 5 indexed citations
8.
Li, Yanting, Junwei Jin, Yun Geng, et al.. (2024). Discriminative elastic-net broad learning systems for visual classification. Applied Soft Computing. 155. 111445–111445. 9 indexed citations
9.
Wang, Chenxiao, M. Huang, Jing Liang, et al.. (2024). Highly efficient catalytic hydrocracking of East Inner Mongolia lignite and lignite-related model compounds through selective cleavage of aryl C-O bonds. Journal of Analytical and Applied Pyrolysis. 184. 106866–106866. 4 indexed citations
10.
Wu, Zhou, et al.. (2024). Surrogate-assisted PSO with archive-based neighborhood search for medium-dimensional expensive multi-objective problems. Information Sciences. 666. 120405–120405. 3 indexed citations
11.
Huang, Li, et al.. (2024). Orientation-dependent ion-irradiation responses in molybdenum and molybdenum-rhenium alloys. Materials Letters. 363. 136317–136317. 4 indexed citations
12.
Wang, Jindong, et al.. (2024). Gonadal hormone abnormalities in young patients with first-episode schizophrenia. The International Journal of Neuropsychopharmacology. 27(12). 1 indexed citations
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15.
Li, Yan, Wenlong Qi, Anyong Qin, et al.. (2023). Manifold clustering-based prediction for dynamic multiobjective optimization. Swarm and Evolutionary Computation. 77. 101254–101254. 19 indexed citations
16.
Qiao, Kangjia, Zhaolin Chen, Boyang Qu, et al.. (2023). A dual-population evolutionary algorithm based on dynamic constraint processing and resources allocation for constrained multi-objective optimization problems. Expert Systems with Applications. 238. 121707–121707. 21 indexed citations
17.
Li, Yan, et al.. (2023). ASMEvoNAS: Adaptive segmented multi-objective evolutionary network architecture search. Applied Soft Computing. 146. 110639–110639. 9 indexed citations
18.
Wang, Peng, Bing Xue, Jing Liang, & Mengjie Zhang. (2023). Feature Selection Using Diversity-Based Multi-objective Binary Differential Evolution. Information Sciences. 626. 586–606. 43 indexed citations
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20.
Li, Guangyao, et al.. (2009). Improved 2D Maximum Entropy Threshold Segmentation Method based on PSO.. 27(2). 287–292. 1 indexed citations

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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