Yanyan Tan

1.0k total citations
53 papers, 767 citations indexed

About

Yanyan Tan is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yanyan Tan has authored 53 papers receiving a total of 767 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 22 papers in Computational Theory and Mathematics and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yanyan Tan's work include Metaheuristic Optimization Algorithms Research (21 papers), Advanced Multi-Objective Optimization Algorithms (20 papers) and Advanced Data Compression Techniques (7 papers). Yanyan Tan is often cited by papers focused on Metaheuristic Optimization Algorithms Research (21 papers), Advanced Multi-Objective Optimization Algorithms (20 papers) and Advanced Data Compression Techniques (7 papers). Yanyan Tan collaborates with scholars based in China, United States and Taiwan. Yanyan Tan's co-authors include Yong‐Chang Jiao, Xin-Kuan Wang, Hong Li, Huaxiang Zhang, Wei Zheng, Lili Meng, Li Liu, Shengtao Li, Kai Zhao and Jing Li and has published in prestigious journals such as Bioinformatics, Advanced Functional Materials and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Yanyan Tan

52 papers receiving 745 citations

Peers

Yanyan Tan
Beatrice Ombuki-Berman Canada
Yiqiao Wang China
Jiao-Hong Yi China
Qiqi Liu China
Jianping Luo China
Domingo Ortíz-Boyer Spain
Zhiheng Zhang China
Junfeng Chen China
Beatrice Ombuki-Berman Canada
Yanyan Tan
Citations per year, relative to Yanyan Tan Yanyan Tan (= 1×) peers Beatrice Ombuki-Berman

Countries citing papers authored by Yanyan Tan

Since Specialization
Citations

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

Fields of papers citing papers by Yanyan Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanyan Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Yanyan Tan. A scholar is included among the top collaborators of Yanyan Tan 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 Yanyan Tan. Yanyan Tan 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.
Zheng, Wei, et al.. (2024). A novel clustering-based evolutionary algorithm with objective space decomposition for multi/many-objective optimization. Information Sciences. 677. 120940–120940. 3 indexed citations
2.
Yan, Z., et al.. (2024). Multiple surrogates-assisted evolutionary algorithm for high-dimensional expensive multi-objective optimization with adaptive diffusion map. Expert Systems with Applications. 266. 126103–126103. 3 indexed citations
3.
Tan, Yanyan, et al.. (2024). Comparative Evaluation Between Cutting of the Intersphincteric Space vs Cutting Seton in High Anal Fistula: A Randomized Controlled Trial. Journal of the American College of Surgeons. 239(6). 563–573. 2 indexed citations
4.
Wang, Hong, et al.. (2023). EMPPNet: Enhancing Molecular Property Prediction via Cross-modal Information Flow and Hierarchical Attention. Expert Systems with Applications. 234. 121016–121016. 6 indexed citations
5.
Tan, Yanyan, et al.. (2023). A composite surrogate-assisted evolutionary algorithm for expensive many-objective optimization. Expert Systems with Applications. 236. 121374–121374. 10 indexed citations
6.
Sheng, Zhi, et al.. (2023). A Unified Two-Stage Spatial and Spectral Network With Few-Shot Learning for Pansharpening. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–17. 6 indexed citations
7.
8.
Shi, Lin, Yanyan Tan, Zeyuan Yan, Lili Meng, & Li Liu. (2022). Weight grouping operators selection strategy for a multiobjective evolutionary algorithm based on decomposition. Applied Intelligence. 53(9). 10585–10601. 3 indexed citations
9.
Chen, Yin‐Kai, Yanyan Tan, Min Yao, et al.. (2021). Bisphenol A-induced DNA damages promote to lymphoma progression in human lymphoblastoid cells through aberrant CTNNB1 signaling pathway. iScience. 24(8). 102888–102888. 13 indexed citations
10.
Wang, Bin, et al.. (2021). TL-FCM: A hierarchical prediction model based on two-level fuzzy c-means clustering for bike-sharing system. Applied Intelligence. 52(6). 6432–6449. 5 indexed citations
11.
Wang, Chunjing, Li Liu, & Yanyan Tan. (2020). An Efficient Content-Based Image Retrieval System Using kNN and FuzzyMathematical Algorithm. Computer Modeling in Engineering & Sciences. 124(3). 1062–1083. 2 indexed citations
12.
Zheng, Wei, et al.. (2018). A Modification of MOEA/D for Solving Multi-Objective Optimization Problems. Journal of Advanced Computational Intelligence and Intelligent Informatics. 22(2). 214–223. 2 indexed citations
13.
Tan, Yanyan, et al.. (2018). Hierarchical Prediction Based on Two-Level Affinity Propagation Clustering for Bike-Sharing System. IEEE Access. 6. 45875–45885. 15 indexed citations
14.
Meng, Lili, et al.. (2018). KSVD-Based Multiple Description Image Coding. IEEE Access. 7. 1962–1972. 7 indexed citations
15.
Zheng, Wei, Yanyan Tan, Lili Meng, & Huaxiang Zhang. (2018). An improved MOEA/D design for many-objective optimization problems. Applied Intelligence. 48(10). 3839–3861. 32 indexed citations
16.
Chou, Wei‐Chun, et al.. (2017). An integrative transcriptomic analysis reveals bisphenol A exposure-induced dysregulation of microRNA expression in human endometrial cells. Toxicology in Vitro. 41. 133–142. 42 indexed citations
17.
Kim, Seohyun, et al.. (2016). Soft Clustering of Physics Misconceptions Using a Mixed Membership Model.. Educational Data Mining. 658–659. 1 indexed citations
18.
Liu, Yan, Yong‐Chang Jiao, Yaming Zhang, & Yanyan Tan. (2014). Synthesis of Phase-Only Reconfigurable Linear Arrays Using Multiobjective Invasive Weed Optimization Based on Decomposition. International Journal of Antennas and Propagation. 2014. 1–11. 25 indexed citations
19.
Tan, Yanyan, Yong‐Chang Jiao, Hong Li, & Xin-Kuan Wang. (2012). A modification to MOEA/D-DE for multiobjective optimization problems with complicated Pareto sets. Information Sciences. 213. 14–38. 66 indexed citations
20.
Tan, Yanyan, Yong‐Chang Jiao, Hong Li, & Xin-Kuan Wang. (2012). MOEA/D + uniform design: A new version of MOEA/D for optimization problems with many objectives. Computers & Operations Research. 40(6). 1648–1660. 130 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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