Yujing Wen

611 total citations
11 papers, 464 citations indexed

About

Yujing Wen is a scholar working on Surgery, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Yujing Wen has authored 11 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Surgery, 2 papers in Molecular Biology and 2 papers in Artificial Intelligence. Recurrent topics in Yujing Wen's work include Neurological Disease Mechanisms and Treatments (2 papers), Machine Learning in Materials Science (2 papers) and Machine Learning and Algorithms (2 papers). Yujing Wen is often cited by papers focused on Neurological Disease Mechanisms and Treatments (2 papers), Machine Learning in Materials Science (2 papers) and Machine Learning and Algorithms (2 papers). Yujing Wen collaborates with scholars based in United States. Yujing Wen's co-authors include Bao Ting Zhu, Joong‐Youn Shim, Xiang‐Rong Jiang, Masayuki Fukui, Ki Sung Kang, Noriko Yamabe, Stephanie Bishop, Pan Wang, In‐Young Yang and Arthur P. Grollman and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Yujing Wen

11 papers receiving 454 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yujing Wen United States 7 136 118 69 64 58 11 464
Jean-Christophe Le Bail France 13 193 1.4× 258 2.2× 45 0.7× 158 2.5× 112 1.9× 15 833
Mona F. El-Azab Egypt 18 22 0.2× 306 2.6× 45 0.7× 58 0.9× 76 1.3× 37 790
Luís Arturo Baiza-Gutman Mexico 15 91 0.7× 294 2.5× 25 0.4× 33 0.5× 97 1.7× 28 674
L.J. Marnett United States 14 86 0.6× 305 2.6× 54 0.8× 41 0.6× 37 0.6× 19 737
Monique Quesne France 6 125 0.9× 355 3.0× 61 0.9× 54 0.8× 25 0.4× 8 775
Mayuko Osada Japan 9 43 0.3× 196 1.7× 99 1.4× 17 0.3× 30 0.5× 9 463
Valentyn V. Tyulmenkov United States 9 280 2.1× 330 2.8× 27 0.4× 107 1.7× 45 0.8× 9 688
Toshiaki Amamoto Japan 14 44 0.3× 162 1.4× 90 1.3× 23 0.4× 39 0.7× 21 578
Vincenzo Bellavia Italy 10 110 0.8× 73 0.6× 27 0.4× 52 0.8× 40 0.7× 11 335
Yongkai Sun United States 12 50 0.4× 225 1.9× 133 1.9× 120 1.9× 47 0.8× 13 520

Countries citing papers authored by Yujing Wen

Since Specialization
Citations

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

Fields of papers citing papers by Yujing Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yujing Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Yujing Wen. A scholar is included among the top collaborators of Yujing Wen 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 Yujing Wen. Yujing Wen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Wen, Yujing, et al.. (2023). Improving molecular machine learning through adaptive subsampling with active learning. Digital Discovery. 2(4). 1134–1142. 9 indexed citations
2.
Li, Zhixiong, et al.. (2023). Yoked learning in molecular data science. SHILAP Revista de lepidopterología. 5. 100089–100089. 2 indexed citations
3.
McClellan, Phillip, Derrick M. Knapik, Ilaha Isali, et al.. (2022). Mesenchymal Stem Cell Delivery via Topographically Tenoinductive Collagen Biotextile Enhances Regeneration of Segmental Tendon Defects. The American Journal of Sports Medicine. 50(8). 2281–2291. 5 indexed citations
4.
McClellan, Phillip, Yujing Wen, Derrick M. Knapik, et al.. (2020). Volumetric MicroCT Intensity Histograms of Fatty Infiltration Correlate with the Mechanical Strength of Rotator Cuff Repairs: An Ex Vivo Rabbit Model. Clinical Orthopaedics and Related Research. 479(2). 406–418. 3 indexed citations
5.
Yuan, Chen, Yujing Wen, Jun Wang, Tao Xiang, & Dehua Chen. (2014). Cotton potassium uptake and use efficiency vary with potassium application rates and soil potassium nutrition levels. 1 indexed citations
6.
Kang, Ki Sung, Noriko Yamabe, Yujing Wen, Masayuki Fukui, & Bao Ting Zhu. (2012). Beneficial effects of natural phenolics on levodopa methylation and oxidative neurodegeneration. Brain Research. 1497. 1–14. 28 indexed citations
7.
Kang, Ki Sung, Yujing Wen, Noriko Yamabe, et al.. (2010). Dual Beneficial Effects of (-)-Epigallocatechin-3-Gallate on Levodopa Methylation and Hippocampal Neurodegeneration: In Vitro and In Vivo Studies. PLoS ONE. 5(8). e11951–e11951. 73 indexed citations
8.
Bonala, Radha, In‐Young Yang, Mark Lukin, et al.. (2009). DNA adducts of aristolochic acid II: total synthesis and site-specific mutagenesis studies in mammalian cells. Nucleic Acids Research. 38(1). 339–352. 70 indexed citations
9.
Wang, Pan, et al.. (2009). Characterization of the oestrogenic activity of non‐aromatic steroids: are there male‐specific endogenous oestrogen receptor modulators?. British Journal of Pharmacology. 158(7). 1796–1807. 18 indexed citations
10.
Zhu, Bao Ting, Pan Wang, Mime Nagai, Yujing Wen, & Hyoung‐Woo Bai. (2008). Inhibition of human catechol-O-methyltransferase (COMT)-mediated O-methylation of catechol estrogens by major polyphenolic components present in coffee. The Journal of Steroid Biochemistry and Molecular Biology. 113(1-2). 65–74. 36 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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