Yi Cheng

1.9k total citations
40 papers, 1.5k citations indexed

About

Yi Cheng is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Yi Cheng has authored 40 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Electrical and Electronic Engineering, 6 papers in Biomedical Engineering and 5 papers in Molecular Biology. Recurrent topics in Yi Cheng's work include Advanced DC-DC Converters (6 papers), Endoplasmic Reticulum Stress and Disease (5 papers) and Multilevel Inverters and Converters (4 papers). Yi Cheng is often cited by papers focused on Advanced DC-DC Converters (6 papers), Endoplasmic Reticulum Stress and Disease (5 papers) and Multilevel Inverters and Converters (4 papers). Yi Cheng collaborates with scholars based in China, United States and Switzerland. Yi Cheng's co-authors include Jian Xiao, Zhouguang Wang, Xiaokun Li, Hongxue Shi, Xiaobing Fu, Tetsuya Mizuno, Hideyuki Takeuchi, Hiroshi Horiuchi, Yue Wang and Shijie Jin and has published in prestigious journals such as Blood, PLoS ONE and IEEE Transactions on Industrial Electronics.

In The Last Decade

Yi Cheng

35 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yi Cheng China 17 389 261 237 233 159 40 1.5k
Youngsook Son South Korea 26 668 1.7× 159 0.6× 261 1.1× 192 0.8× 498 3.1× 122 2.4k
Mingzi Zhang China 20 344 0.9× 135 0.5× 88 0.4× 92 0.4× 91 0.6× 101 1.4k
Kyle P. Quinn United States 31 793 2.0× 62 0.2× 117 0.5× 258 1.1× 136 0.9× 83 3.0k
Stephana Carelli Italy 27 1.0k 2.6× 97 0.4× 119 0.5× 282 1.2× 284 1.8× 95 2.2k
Xue Yang China 31 770 2.0× 121 0.5× 905 3.8× 184 0.8× 202 1.3× 104 3.0k
Phil‐Sang Chung South Korea 26 377 1.0× 152 0.6× 42 0.2× 182 0.8× 98 0.6× 152 1.9k
Dezhi Kang China 24 607 1.6× 113 0.4× 126 0.5× 99 0.4× 123 0.8× 185 2.4k
Qingjun Zhou China 35 870 2.2× 53 0.2× 248 1.0× 157 0.7× 163 1.0× 176 3.5k
Toshiaki Ishizuka Japan 24 426 1.1× 44 0.2× 301 1.3× 196 0.8× 76 0.5× 91 2.1k
Shih‐Ping Liu Taiwan 26 839 2.2× 115 0.4× 144 0.6× 186 0.8× 122 0.8× 105 2.0k

Countries citing papers authored by Yi Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Yi Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Yi Cheng. A scholar is included among the top collaborators of Yi Cheng 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 Yi Cheng. Yi Cheng 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.
Cheng, Yi, et al.. (2025). Robotic taste sensing via triboelectric and deep learning. Nano Energy. 140. 111034–111034. 2 indexed citations
2.
Li, Lanlan, et al.. (2025). The impact of oxidative stress on abnormal lipid metabolism-mediated disease development. Archives of Biochemistry and Biophysics. 766. 110348–110348. 10 indexed citations
3.
4.
5.
Hu, Zheyuan, Yi Cheng, Hui Xiong, & Xu Zhang. (2023). Assembly makespan estimation using features extracted by a topic model. Knowledge-Based Systems. 276. 110738–110738. 3 indexed citations
6.
Cheng, Yi, et al.. (2023). Topology Construction Strategy of Load-Independent Single-Switch Resonant Inverter. IEEE Transactions on Industrial Electronics. 71(9). 10580–10590. 7 indexed citations
7.
Cheng, Yi, et al.. (2023). A Family of High Step-Up DC–DC Converters Based on Enhanced Boost Cells With Coupled Inductor. IEEE Transactions on Power Electronics. 38(10). 12932–12945. 7 indexed citations
8.
Guan, Yueshi, et al.. (2022). A High-Performance DC–DC Converter With Soft Switching Characteristic and High Voltage Gain. IEEE Transactions on Power Electronics. 37(10). 12279–12288. 11 indexed citations
9.
Ribrag, Vincent, Jean‐Marie Michot, Brigette Ma, et al.. (2021). Phase I/II Study of MAK683 in Patients with Advanced Malignancies, Including Diffuse Large B-Cell Lymphoma. Blood. 138(Supplement 1). 1422–1422. 5 indexed citations
10.
Bent, Martin J. van den, Analía Azaro, Filip De Vos, et al.. (2019). A Phase Ib/II, open-label, multicenter study of INC280 (capmatinib) alone and in combination with buparlisib (BKM120) in adult patients with recurrent glioblastoma. Journal of Neuro-Oncology. 146(1). 79–89. 36 indexed citations
11.
Kolbinger, Frank, Christian Loesche, Marie‐Anne Valentin, et al.. (2016). β-Defensin 2 is a responsive biomarker of IL-17A–driven skin pathology in patients with psoriasis. Journal of Allergy and Clinical Immunology. 139(3). 923–932.e8. 180 indexed citations
12.
Goldberg, Hilary J., Sergio Harari, Vincent Cottin, et al.. (2015). Everolimus for the treatment of lymphangioleiomyomatosis: a phase II study. European Respiratory Journal. 46(3). 783–794. 74 indexed citations
13.
Wang, Zhouguang, Yi Cheng, Xi‐Chong Yu, et al.. (2015). bFGF Protects Against Blood-Brain Barrier Damage Through Junction Protein Regulation via PI3K-Akt-Rac1 Pathway Following Traumatic Brain Injury. Molecular Neurobiology. 53(10). 7298–7311. 108 indexed citations
14.
Shi, Hongxue, Yi Cheng, Jingjing Ye, et al.. (2015). bFGF Promotes the Migration of Human Dermal Fibroblasts under Diabetic Conditions through Reactive Oxygen Species Production via the PI3K/Akt-Rac1- JNK Pathways. International Journal of Biological Sciences. 11(7). 845–859. 67 indexed citations
15.
Zhu, Sipin, Zhouguang Wang, Ying‐Zheng Zhao, et al.. (2015). Gelatin Nanostructured Lipid Carriers Incorporating Nerve Growth Factor Inhibit Endoplasmic Reticulum Stress-Induced Apoptosis and Improve Recovery in Spinal Cord Injury. Molecular Neurobiology. 53(7). 4375–4386. 54 indexed citations
16.
Zhang, Hongyu, Fenzan Wu, Xiaoxia Kong, et al.. (2014). Nerve growth factor improves functional recovery by inhibiting endoplasmic reticulum stress-induced neuronal apoptosis in rats with spinal cord injury. Journal of Translational Medicine. 12(1). 130–130. 98 indexed citations
17.
Wang, Yue, Shijie Jin, Yoshifumi Sonobe, et al.. (2014). Interleukin-1β Induces Blood–Brain Barrier Disruption by Downregulating Sonic Hedgehog in Astrocytes. PLoS ONE. 9(10). e110024–e110024. 240 indexed citations
18.
Jin, Shijie, Yoshifumi Sonobe, Jun Kawanokuchi, et al.. (2014). Interleukin-34 Restores Blood–Brain Barrier Integrity by Upregulating Tight Junction Proteins in Endothelial Cells. PLoS ONE. 9(12). e115981–e115981. 45 indexed citations
19.
20.
Shi, Hongxue, Cai Lin, Beibei Lin, et al.. (2013). The Anti-Scar Effects of Basic Fibroblast Growth Factor on the Wound Repair In Vitro and In Vivo. PLoS ONE. 8(4). e59966–e59966. 156 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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