Anping Lin

1.6k total citations · 1 hit paper
41 papers, 1.2k citations indexed

About

Anping Lin is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Anping Lin has authored 41 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 9 papers in Computational Theory and Mathematics and 8 papers in Computer Networks and Communications. Recurrent topics in Anping Lin's work include Metaheuristic Optimization Algorithms Research (15 papers), Advanced Multi-Objective Optimization Algorithms (9 papers) and Evolutionary Algorithms and Applications (6 papers). Anping Lin is often cited by papers focused on Metaheuristic Optimization Algorithms Research (15 papers), Advanced Multi-Objective Optimization Algorithms (9 papers) and Evolutionary Algorithms and Applications (6 papers). Anping Lin collaborates with scholars based in China, United States and Singapore. Anping Lin's co-authors include Hongwei Tang, Hongshan Yu, Guohua Wu, Min Xue, Wei Sun, Xin Shen, Ponnuthurai Nagaratnam Suganthan, Haifeng Li, Huangke Chen and Wei Sun and has published in prestigious journals such as Blood, ACS Nano and Biochemistry.

In The Last Decade

Anping Lin

39 papers receiving 1.2k citations

Hit Papers

Ensemble of differential evolution variants 2017 2026 2020 2023 2017 100 200 300
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. Ensemble of differential evolution variants
    2017 310 citations Guohua Wu, Anping Lin 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
Anping Lin China 15 527 422 292 144 132 41 1.2k
Genghui Li China 26 1.2k 2.3× 217 0.5× 874 3.0× 178 1.2× 150 1.1× 57 2.0k
Jinsha Yuan China 15 302 0.6× 326 0.8× 87 0.3× 86 0.6× 133 1.0× 79 981
Chunkai Zhang China 20 589 1.1× 211 0.5× 154 0.5× 117 0.8× 268 2.0× 73 1.4k
Wenlong Song China 17 299 0.6× 270 0.6× 101 0.3× 52 0.4× 78 0.6× 49 1.1k
Guoliang He China 16 579 1.1× 94 0.2× 219 0.8× 61 0.4× 81 0.6× 61 1.0k
Hui Xu China 22 477 0.9× 1.0k 2.4× 50 0.2× 374 2.6× 124 0.9× 205 1.9k
Kaiqing Zhang United States 20 370 0.7× 416 1.0× 164 0.6× 269 1.9× 52 0.4× 86 1.2k

Countries citing papers authored by Anping Lin

Since Specialization
Citations

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

Fields of papers citing papers by Anping Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anping Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Anping Lin. A scholar is included among the top collaborators of Anping Lin 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 Anping Lin. Anping Lin 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.
Lin, Anping, et al.. (2025). Elite leader dwarf mongoose optimization algorithm. Scientific Reports. 15(1). 20911–20911. 1 indexed citations
2.
3.
Zhang, Xing, et al.. (2024). Wi-Fi-Based Indoor Localization With Interval Random Analysis and Improved Particle Swarm Optimization. IEEE Transactions on Mobile Computing. 23(10). 9120–9134. 12 indexed citations
4.
Lin, Anping, et al.. (2024). Efficient bundle optimization for accurate camera pose estimation in mobile augmented reality systems. The Egyptian Journal of Remote Sensing and Space Science. 27(4). 743–752.
5.
Shu, Xiu, et al.. (2024). Energy-Saving Multi-Agent Deep Reinforcement Learning Algorithm for Drone Routing Problem. Sensors. 24(20). 6698–6698. 1 indexed citations
6.
Yang, Yang, Xingwei Jiang, Anping Lin, et al.. (2023). Metabolomic profiling identifies hair as a robust biological sample for identifying women with cervical cancer. Medical Oncology. 40(2). 75–75. 9 indexed citations
7.
Lin, Anping, et al.. (2023). Heterogeneous differential evolution particle swarm optimization with local search. Complex & Intelligent Systems. 9(6). 6905–6925. 12 indexed citations
8.
Liu, Rongsheng, Shuguang Cui, Anping Lin, & Yong Liao. (2023). Transformer Fault Synthetic Diagnosis Method Based on Fusion of Multi-Neural Networks and Evidence Theory in Cloud Computing. Journal of Physics Conference Series. 2433(1). 12031–12031. 1 indexed citations
9.
Li, Zhantao, et al.. (2023). Research on Multi-Objective Scheduling Algorithm of Job Shop Considering Limited Storage and Transportation Capacity. IEEE Access. 11. 94252–94280. 2 indexed citations
10.
Shi, Xian, Fei Long, Yanqiu Zhou, et al.. (2022). Complex metabolic interactions between ovary, plasma, urine, and hair in ovarian cancer. Frontiers in Oncology. 12. 916375–916375. 11 indexed citations
11.
Jiang, Caihong & Anping Lin. (2022). The Development and Current Problems of WTO and Relating Influence on Chinese Enterprises. Advances in economics, business and management research. 211. 1 indexed citations
12.
Zhang, Xing, Wei Sun, Min Xue, & Anping Lin. (2021). Probability-optimal leader comprehensive learning particle swarm optimization with Bayesian iteration. Applied Soft Computing. 103. 107132–107132. 21 indexed citations
13.
Lin, Anping, et al.. (2021). MicroRNA-574-5p affects trophoblast proliferation, migration and invasion by targeting ZEB1 in preeclampsia. Panminerva Medica. 64(3). 417–418. 1 indexed citations
14.
Lin, Anping, et al.. (2021). Heuristic Feature Selection for Wind Power Anomaly Events Study. Frontiers in Energy Research. 9. 1 indexed citations
15.
Qiu, Zhi‐Jun, Anping Lin, Jamie Myers, et al.. (2020). Generation and characterization of the Eµ-Irf8 mouse model. Cancer Genetics. 245. 6–16. 2 indexed citations
16.
Zhu, Qing, Yaonan Wang, Zhenjun Zhang, et al.. (2019). Feature extraction method based on spectral dimensional edge preservation filtering for hyperspectral image classification. International Journal of Remote Sensing. 41(1). 90–113. 5 indexed citations
17.
Lin, Anping, et al.. (2019). An Online Condition Assessment of Box Substation in Wind Farm Based on Hypothesis Testing. IEEE Access. 8. 72537–72547. 2 indexed citations
18.
Xue, Min, Wei Sun, Hongshan Yu, et al.. (2019). Locate the Mobile Device by Enhancing the WiFi-Based Indoor Localization Model. IEEE Internet of Things Journal. 6(5). 8792–8803. 46 indexed citations
19.
Lin, Anping, Wei Sun, Hongshan Yu, Guohua Wu, & Hongwei Tang. (2018). Global genetic learning particle swarm optimization with diversity enhancement by ring topology. Swarm and Evolutionary Computation. 44. 571–583. 95 indexed citations
20.
Cooney, Jeffrey D., Long Wang, Anping Lin, et al.. (2016). Synergism Between PDE4 and PI3Kδ Inhibitors in DLBCL: Improved Clinical Activity with the Potential for Lower Toxicity. Blood. 128(22). 2938–2938. 2 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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