Ying Chen

4.6k total citations · 1 hit paper
149 papers, 3.4k citations indexed

About

Ying Chen is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Genetics. According to data from OpenAlex, Ying Chen has authored 149 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Endocrinology, Diabetes and Metabolism, 24 papers in Molecular Biology and 22 papers in Genetics. Recurrent topics in Ying Chen's work include Liver Disease Diagnosis and Treatment (13 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers) and Estrogen and related hormone effects (8 papers). Ying Chen is often cited by papers focused on Liver Disease Diagnosis and Treatment (13 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers) and Estrogen and related hormone effects (8 papers). Ying Chen collaborates with scholars based in China, United States and Canada. Ying Chen's co-authors include Fan Zhang, Peng Pei, Hongxin Zhang, Fuad N. Ziyadeh, Michael V. Rocco, Stanley Goldfarb, Dongyuan Zhao, Yong Fan, Caixia Sun and Xiaogang Liu and has published in prestigious journals such as Journal of Biological Chemistry, Angewandte Chemie International Edition and Journal of Clinical Investigation.

In The Last Decade

Ying Chen

138 papers receiving 3.3k citations

Hit Papers

X-ray-activated persistent luminescence nanomaterials for... 2021 2026 2022 2024 2021 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ying Chen China 29 746 665 597 483 481 149 3.4k
Xiaoxiao Chen China 32 605 0.8× 1.1k 1.6× 228 0.4× 789 1.6× 357 0.7× 291 3.9k
Dahye Kim South Korea 30 1.1k 1.5× 472 0.7× 257 0.4× 488 1.0× 343 0.7× 160 3.4k
Xueying Zhao China 37 386 0.5× 1.1k 1.7× 1.1k 1.9× 562 1.2× 213 0.4× 132 4.3k
Liming Yang China 37 544 0.7× 1.8k 2.6× 166 0.3× 754 1.6× 452 0.9× 156 5.2k
Ken Takeda Japan 37 503 0.7× 1.3k 1.9× 157 0.3× 501 1.0× 180 0.4× 272 5.6k
Jie Chen China 40 260 0.3× 2.3k 3.5× 491 0.8× 646 1.3× 1.1k 2.2× 434 7.4k
Kazuo Umemura Japan 42 551 0.7× 1.6k 2.4× 149 0.2× 546 1.1× 1.1k 2.2× 371 6.8k
Lei Chen China 42 238 0.3× 3.1k 4.6× 341 0.6× 268 0.6× 350 0.7× 194 6.0k
Jesús Ruı́z-Cabello Spain 46 888 1.2× 2.2k 3.3× 145 0.2× 1.2k 2.5× 580 1.2× 204 7.1k
Masayuki Yamaguchi Japan 16 332 0.4× 1.1k 1.7× 144 0.2× 158 0.3× 290 0.6× 80 3.1k

Countries citing papers authored by Ying Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ying Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Chen. A scholar is included among the top collaborators of Ying Chen 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 Chen. Ying Chen 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.
Li, Xianguo, et al.. (2025). A novel convolutional neural network with global perception for bearing fault diagnosis. Engineering Applications of Artificial Intelligence. 143. 109986–109986. 9 indexed citations
2.
Chen, Ying, et al.. (2025). STAT-LSTM: A multivariate spatiotemporal feature aggregation model for SPEI-based drought prediction. Earth Science Informatics. 18(3). 1 indexed citations
3.
Chen, Ying, Hongyu Pan, Jichang Li, et al.. (2024). Environment-tolerant, inherently conductive and self-adhesive gelatin-based supramolecular eutectogel for flexible sensor. International Journal of Biological Macromolecules. 282(Pt 5). 137219–137219. 15 indexed citations
4.
5.
Zhu, Guodong, et al.. (2024). Diagnostic Model for Proliferative HCC Using LI‐RADS: Assessing Therapeutic Outcomes in Hepatectomy and TKI‐ICI Combination. Journal of Magnetic Resonance Imaging. 61(1). 134–147. 4 indexed citations
7.
Li, Zhixin, et al.. (2024). Weighted graph convolutional network with feature mask for low back pain prediction. Biomedical Signal Processing and Control. 99. 106879–106879.
8.
Wang, Fanghui, Ying Chen, Shengqian Zhou, et al.. (2024). Aerosol sources and transport paths co-control the atmospheric bacterial diversity over the coastal East China Sea. Marine Pollution Bulletin. 205. 116589–116589. 1 indexed citations
9.
He, Chenxi, Nan Zhu, Ying Chen, et al.. (2024). Reshaping Immunosuppressive Tumor Microenvironment Using Ferroptosis/Cuproptosis Nanosensitizers for Enhanced Radioimmunotherapy. Advanced Functional Materials. 34(51). 11 indexed citations
10.
Chen, Ying, et al.. (2024). RGBTSDF: An Efficient and Simple Method for Color Truncated Signed Distance Field (TSDF) Volume Fusion Based on RGB-D Images. Remote Sensing. 16(17). 3188–3188. 1 indexed citations
11.
Xiao, Xiao, Song Tan, Ying Chen, et al.. (2024). Pterin-Based Red Coloration Predicts the Outcome of Male–Male Competition in Guinan Toad-Headed Lizard. Animals. 14(20). 2923–2923. 1 indexed citations
12.
Chen, Ying, et al.. (2023). Predictors of long-term decannulation in patients with disorders of consciousness. Frontiers in Neurology. 14. 1099307–1099307. 1 indexed citations
13.
Chen, Ying, et al.. (2023). Static-Dynamic Temporal Networks for Parkinson’s Disease Detection and Severity Prediction. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 31. 2205–2213. 10 indexed citations
14.
Chen, Ying, Lei Peng, Yu Wu, et al.. (2023). Anomalous Temperature-Dependent Phonon Anharmonicity and Strain Engineering of Thermal Conductivity in β-Ga2O3. The Journal of Physical Chemistry C. 127(27). 13356–13363. 13 indexed citations
15.
Chen, Ying, Zheng Chen, Lingling Pan, et al.. (2023). Effect of Moderate and Vigorous Aerobic Exercise on Incident Diabetes in Adults With Obesity. JAMA Internal Medicine. 183(3). 272–272. 24 indexed citations
16.
Wang, Weijie, et al.. (2023). Design, synthesis and biological evaluation of seco-DSP/DCK derivatives reversing P-glycoprotein-mediated paclitaxel resistance in A2780/T cells. European Journal of Medicinal Chemistry. 250. 115218–115218. 12 indexed citations
17.
Chen, Ying & Zhong Zhao. (2019). Mathematical model for continuous delayed single-species population with impulsive state feedback control. Journal of Applied Mathematics and Computing. 61(1-2). 451–460. 2 indexed citations
18.
Yang, Yurong, Ge Lin, Youping Wang, et al.. (2018). Hydrogen Sulfide Alleviates Acute Myocardial Ischemia Injury by Modulating Autophagy and Inflammation Response under Oxidative Stress. Oxidative Medicine and Cellular Longevity. 2018(1). 3402809–3402809. 34 indexed citations
19.
More, Vijay R., Julie Lao, David G. McLaren, et al.. (2017). Glucagon like receptor 1/ glucagon dual agonist acutely enhanced hepatic lipid clearance and suppressed de novo lipogenesis in mice. PLoS ONE. 12(10). e0186586–e0186586. 21 indexed citations
20.
Feng, Kun, et al.. (2009). [Treatment of lower extremity diabetic atherosclerotic obliterans with shuxuetong injection].. PubMed. 29(3). 255–7. 3 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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