Ying Tan

857 total citations
23 papers, 620 citations indexed

About

Ying Tan is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Computer Networks and Communications. According to data from OpenAlex, Ying Tan has authored 23 papers receiving a total of 620 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Electrical and Electronic Engineering, 5 papers in Hardware and Architecture and 4 papers in Computer Networks and Communications. Recurrent topics in Ying Tan's work include Green IT and Sustainability (4 papers), Effects and risks of endocrine disrupting chemicals (3 papers) and Smart Grid Energy Management (3 papers). Ying Tan is often cited by papers focused on Green IT and Sustainability (4 papers), Effects and risks of endocrine disrupting chemicals (3 papers) and Smart Grid Energy Management (3 papers). Ying Tan collaborates with scholars based in United States, China and Czechia. Ying Tan's co-authors include Qinru Qiu, Sandra Z. Haslam, Chengfeng Yang, Yong Zhao, Qing Wu, Jun Lu, Hao Shen, Jack R. Harkema, Wei Liu and Mark J. Strynar and has published in prestigious journals such as Nature Communications, Oncogene and Endocrinology.

In The Last Decade

Ying Tan

22 papers receiving 612 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ying Tan United States 14 206 137 130 129 126 23 620
Tony Tran United States 14 9 0.0× 12 0.1× 60 0.5× 13 0.1× 13 0.1× 37 816
Weiyan Wang China 14 45 0.2× 7 0.1× 52 0.4× 7 0.1× 16 0.1× 39 407
Brandon Wang United States 13 64 0.3× 69 0.5× 29 0.2× 6 0.0× 37 427
Shaochong Zhang China 13 42 0.2× 53 0.4× 40 0.3× 11 0.1× 40 537
Yujue Wang China 9 89 0.4× 60 0.5× 6 0.0× 21 0.2× 26 365
Yanqi Xie China 9 45 0.2× 1 0.0× 13 0.1× 16 0.1× 25 0.2× 26 375
Hananeh Aliee Germany 11 64 0.3× 35 0.3× 20 0.2× 4 0.0× 25 388
MARUYAMA MARUYAMA Japan 11 42 0.2× 65 0.5× 62 0.5× 2 0.0× 2 0.0× 29 371
Zaifeng Zhang China 13 35 0.2× 3 0.0× 65 0.5× 10 0.1× 7 0.1× 27 320
Ki Lui Hong Kong 14 194 0.9× 4 0.0× 200 1.5× 8 0.1× 42 721

Countries citing papers authored by Ying Tan

Since Specialization
Citations

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

Fields of papers citing papers by Ying Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Tan. A scholar is included among the top collaborators of Ying 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 Ying Tan. Ying 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.
Cui, Huanhuan, Hongyang Yi, Hongyu Bao, et al.. (2022). The SWI/SNF chromatin remodeling factor DPF3 regulates metastasis of ccRCC by modulating TGF-β signaling. Nature Communications. 13(1). 4680–4680. 21 indexed citations
2.
Wang, Chen, Liang Peng, Zeng‐Guang Hou, et al.. (2021). A Hierarchical Architecture for Multisymptom Assessment of Early Parkinson’s Disease via Wearable Sensors. IEEE Transactions on Cognitive and Developmental Systems. 14(4). 1553–1563. 12 indexed citations
3.
Yi, Hongyang, Guipeng Li, Huanhuan Cui, et al.. (2020). Integrative multi-omics analysis of a colon cancer cell line with heterogeneous Wnt activity revealed RUNX2 as an epigenetic regulator of EMT. Oncogene. 39(28). 5152–5164. 31 indexed citations
4.
Troester, Melissa A., Ying Tan, Yong Zhao, et al.. (2020). Pubertal and adult windows of susceptibility to a high animal fat diet in Trp53-null mammary tumorigenesis. UNC Libraries. 1 indexed citations
5.
Tang, Haiyan, You Chen, Zhidong Cen, et al.. (2020). The link between lateral trunk flexion in Parkinson’s disease and vestibular dysfunction: a clinical study. International Journal of Neuroscience. 131(6). 521–526. 4 indexed citations
6.
Shen, Hao, Ying Tan, Jun Lu, Qing Wu, & Qinru Qiu. (2013). Achieving autonomous power management using reinforcement learning. ACM Transactions on Design Automation of Electronic Systems. 18(2). 1–32. 84 indexed citations
7.
Xiang, Wei, et al.. (2012). Effects of RFRP-3 on reproductive function and energy balance in mammals. Hereditas (Beijing). 34(8). 969–976. 1 indexed citations
8.
Zhao, Yong, Ying Tan, Mark J. Strynar, et al.. (2012). Perfluorooctanoic acid effects on ovaries mediate its inhibition of peripubertal mammary gland development in Balb/c and C57Bl/6 mice. Reproductive Toxicology. 33(4). 563–576. 40 indexed citations
9.
Zhang, Baoyun, et al.. (2012). The neuroendocrine regulatory mechanisms of mammalian seasonal reproduction. Hereditas (Beijing). 34(3). 281–288. 3 indexed citations
10.
Liu, Wei, Ying Tan, & Qinru Qiu. (2010). Enhanced Q-learning algorithm for dynamic power management with performance constraint. Design, Automation, and Test in Europe. 602–605. 24 indexed citations
11.
Zhao, Yong, Ying Tan, Sandra Z. Haslam, & Chengfeng Yang. (2010). Perfluorooctanoic Acid Effects on Steroid Hormone and Growth Factor Levels Mediate Stimulation of Peripubertal Mammary Gland Development in C57Bl/6 Mice. Toxicological Sciences. 115(1). 214–224. 81 indexed citations
12.
Liu, Wei, Ying Tan, & Qinru Qiu. (2010). Enhanced Q-learning algorithm for dynamic power management with performance constraint. 602–605. 19 indexed citations
13.
Aupperlee, Mark D., Jianwei Xie, Richard J. Miksicek, et al.. (2009). Progesterone receptor A-regulated gene expression in mammary organoid cultures. The Journal of Steroid Biochemistry and Molecular Biology. 115(3-5). 161–172. 29 indexed citations
14.
Tan, Ying, et al.. (2009). Adaptive power management using reinforcement learning. 461–467. 91 indexed citations
15.
Yang, Chengfeng, Ying Tan, Jack R. Harkema, & Sandra Z. Haslam. (2008). Differential effects of peripubertal exposure to perfluorooctanoic acid on mammary gland development in C57Bl/6 and Balb/c mouse strains. Reproductive Toxicology. 27(3-4). 299–306. 65 indexed citations
16.
Tan, Ying & Qinru Qiu. (2008). A Framework of Stochastic Power Management Using Hidden Markov Model. 2008 Design, Automation and Test in Europe. 92–97. 3 indexed citations
17.
Tan, Ying & Qinru Qiu. (2008). A framework of stochastic power management using hidden Markov model. 92–97. 23 indexed citations
18.
Qiu, Qinru, Ying Tan, & Q. M. Jonathan Wu. (2007). Stochastic modeling and optimization for robust power management in a partially observable system. Design, Automation, and Test in Europe. 779–784. 13 indexed citations
20.
Qiu, Qinru, Ying Tan, & Qing Wu. (2007). Stochastic Modeling and Optimization for Robust Power Management in a Partially Observable System. 1–6. 9 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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