Lining Xing

5.7k total citations · 1 hit paper
202 papers, 4.0k citations indexed

About

Lining Xing is a scholar working on Aerospace Engineering, Computer Networks and Communications and Industrial and Manufacturing Engineering. According to data from OpenAlex, Lining Xing has authored 202 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Aerospace Engineering, 74 papers in Computer Networks and Communications and 67 papers in Industrial and Manufacturing Engineering. Recurrent topics in Lining Xing's work include Satellite Communication Systems (68 papers), Optimization and Search Problems (53 papers) and Metaheuristic Optimization Algorithms Research (40 papers). Lining Xing is often cited by papers focused on Satellite Communication Systems (68 papers), Optimization and Search Problems (53 papers) and Metaheuristic Optimization Algorithms Research (40 papers). Lining Xing collaborates with scholars based in China, Australia and Canada. Lining Xing's co-authors include Yingwu Chen, Ling Wang, Yingwu Chen, Jian Xiong, Kewei Yang, Witold Pedrycz, Jiawei Zhang, Guohua Wu, Yanjie Song and Qingsong Zhao and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Lining Xing

184 papers receiving 3.8k citations

Hit Papers

RL-GA: A Reinforcement Le... 2023 2026 2024 2023 25 50 75

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Lining Xing 1.5k 1.3k 1.2k 952 457 202 4.0k
Michael O. Ball 1.5k 1.0× 1.2k 0.9× 842 0.7× 464 0.5× 621 1.4× 139 5.5k
Ellis L. Johnson 4.0k 2.7× 842 0.6× 948 0.8× 380 0.4× 864 1.9× 84 6.4k
Bin Xin 324 0.2× 953 0.7× 695 0.6× 617 0.6× 425 0.9× 156 2.5k
Ender Özcan 1.9k 1.3× 255 0.2× 561 0.5× 2.1k 2.2× 964 2.1× 167 4.7k
Mauro Dell’Amico 2.6k 1.8× 246 0.2× 716 0.6× 379 0.4× 297 0.6× 105 4.0k
Yu‐Jun Zheng 545 0.4× 284 0.2× 313 0.3× 1.2k 1.2× 425 0.9× 112 3.1k
Dechang Pi 1.6k 1.1× 141 0.1× 1.1k 0.9× 1.7k 1.8× 264 0.6× 215 4.7k
Yue‐Jiao Gong 559 0.4× 241 0.2× 870 0.7× 2.2k 2.3× 1.3k 2.8× 140 4.5k
Christiaan J. J. Paredis 789 0.5× 260 0.2× 282 0.2× 440 0.5× 388 0.8× 171 3.3k
J. Christopher Beck 1.0k 0.7× 209 0.2× 587 0.5× 628 0.7× 193 0.4× 141 2.1k

Countries citing papers authored by Lining Xing

Since Specialization
Citations

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

Fields of papers citing papers by Lining Xing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lining Xing

This figure shows the co-authorship network connecting the top 25 collaborators of Lining Xing. A scholar is included among the top collaborators of Lining Xing 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 Lining Xing. Lining Xing 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.
Wei, Luona, et al.. (2025). A neural priority model for agile earth observation satellite scheduling using deep reinforcement learning. Applied Soft Computing. 174. 112984–112984.
2.
Li, Hao, et al.. (2025). Many-Problem Surrogates for Transfer Evolutionary Multiobjective Optimization With Sparse Transfer Stacking. IEEE Transactions on Evolutionary Computation. 30(1). 241–255. 1 indexed citations
3.
Pedrycz, Witold, et al.. (2025). A distance similarity-based genetic optimization algorithm for satellite ground network planning considering feeding mode. Expert Systems with Applications. 268. 126303–126303. 2 indexed citations
5.
Sang, Hongyan, et al.. (2024). A self-adaptive memetic algorithm with Q-learning for solving the multi-AGVs dispatching problem. Swarm and Evolutionary Computation. 90. 101697–101697. 8 indexed citations
6.
Luo, Xinran, et al.. (2024). Dynamic variable analysis guided adaptive evolutionary multi-objective scheduling for large-scale workflows in cloud computing. Swarm and Evolutionary Computation. 90. 101654–101654. 4 indexed citations
7.
Heng, Yong, et al.. (2024). A Two-Stage Approach for Electric Vehicle Routing Problem with Time Windows and Heterogeneous Recharging Stations. Tsinghua Science & Technology. 29(5). 1300–1322. 3 indexed citations
8.
Yu, Jing, et al.. (2024). Earthwork allocation optimisation based on cut-fill matching and transportation path planning. International Journal of Automation and Control. 18(5). 588–603.
9.
Chen, Huangke, et al.. (2024). A Multi-Objective Memetic Algorithm for Workflow Scheduling in Clouds. IEEE Transactions on Emerging Topics in Computational Intelligence. 1–12. 3 indexed citations
10.
Song, Yanjie, et al.. (2023). RL-GA: A Reinforcement Learning-based Genetic Algorithm for Electromagnetic Detection Satellite Scheduling Problem. Swarm and Evolutionary Computation. 77. 101236–101236. 89 indexed citations breakdown →
11.
Liu, Shiyu, Jun Wang, Rui Wang, et al.. (2023). Data-driven dynamic pricing and inventory management of an omni-channel retailer in an uncertain demand environment. Expert Systems with Applications. 244. 122948–122948. 15 indexed citations
12.
Yao, Feng, et al.. (2023). Growing neural gas assisted evolutionary many-objective optimization for handling irregular Pareto fronts. Swarm and Evolutionary Computation. 78. 101273–101273. 3 indexed citations
13.
Song, Yanjie, Junwei Ou, Jian Wu, et al.. (2023). A cluster-based genetic optimization method for satellite range scheduling system. Swarm and Evolutionary Computation. 79. 101316–101316. 27 indexed citations
14.
Wu, Husheng, et al.. (2022). Drunkard Adaptive Walking Chaos Wolf Pack Algorithm in Parameter Identification of Photovoltaic Module Model. Energies. 15(17). 6340–6340. 2 indexed citations
15.
Zou, Kai, et al.. (2022). Internal Resource Allocation to Information Security of Smart Cities Using Evolutionary Game Model. Discrete Dynamics in Nature and Society. 2022(1). 2 indexed citations
16.
Zou, Kai, et al.. (2022). Alternative External Resource Allocation Method to Information Security in Smart Cities. Discrete Dynamics in Nature and Society. 2022(1). 1 indexed citations
17.
18.
Peng, Guansheng, et al.. (2020). An Exact Algorithm for Agile Earth Observation Satellite Scheduling with Time-Dependent Profits. Computers & Operations Research. 120. 104946–104946. 53 indexed citations
19.
Peng, Guansheng, Reginald Dewil, Cédric Verbeeck, et al.. (2019). Agile earth observation satellite scheduling: An orienteering problem with time-dependent profits and travel times. Computers & Operations Research. 111. 84–98. 69 indexed citations
20.
Tan, Yu‐an, et al.. (2007). A hybrid genetic algorithm for unconstrained global numerical optimisation. New Zealand Journal of Agricultural Research. 50(5). 1021–1029. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026