Zhengyu He

3.2k total citations
81 papers, 2.5k citations indexed

About

Zhengyu He is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Zhengyu He has authored 81 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Pulmonary and Respiratory Medicine, 19 papers in Molecular Biology and 10 papers in Materials Chemistry. Recurrent topics in Zhengyu He's work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (15 papers), Respiratory Support and Mechanisms (14 papers) and Neonatal Respiratory Health Research (13 papers). Zhengyu He is often cited by papers focused on Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (15 papers), Respiratory Support and Mechanisms (14 papers) and Neonatal Respiratory Health Research (13 papers). Zhengyu He collaborates with scholars based in China, United States and United Kingdom. Zhengyu He's co-authors include Yuan Gao, Jamie H. Warner, Shunpeng Xing, Xiangrui Wang, Qiaoyi Xu, Youmin Rong, Yuewen Sheng, Xiaoting Hu, Zhongwei Yang and Gun‐Do Lee and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Nano Letters.

In The Last Decade

Zhengyu He

77 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhengyu He China 27 753 551 492 430 335 81 2.5k
Yu‐Sheng Huang China 30 1.1k 1.4× 344 0.6× 423 0.9× 214 0.5× 240 0.7× 169 3.0k
Xin Chang China 32 1.3k 1.7× 189 0.3× 455 0.9× 271 0.6× 365 1.1× 149 3.4k
Joon‐Young Kim South Korea 29 596 0.8× 155 0.3× 307 0.6× 188 0.4× 137 0.4× 110 2.5k
Jun Hwan Kim South Korea 28 725 1.0× 883 1.6× 180 0.4× 168 0.4× 192 0.6× 178 2.7k
Hanjun Li China 33 1.8k 2.4× 356 0.6× 217 0.4× 313 0.7× 181 0.5× 162 4.0k
Hua Zhang China 31 835 1.1× 618 1.1× 375 0.8× 350 0.8× 92 0.3× 144 3.3k
Qing Chang China 34 1.0k 1.3× 567 1.0× 174 0.4× 282 0.7× 157 0.5× 184 4.1k
Masayuki Hashimoto Japan 26 265 0.4× 612 1.1× 278 0.6× 213 0.5× 268 0.8× 120 2.5k
Jing Yu China 29 656 0.9× 190 0.3× 126 0.3× 277 0.6× 302 0.9× 151 2.8k
I‐Chun Chen Taiwan 23 415 0.6× 247 0.4× 171 0.3× 178 0.4× 186 0.6× 104 1.9k

Countries citing papers authored by Zhengyu He

Since Specialization
Citations

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

Fields of papers citing papers by Zhengyu He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhengyu He

This figure shows the co-authorship network connecting the top 25 collaborators of Zhengyu He. A scholar is included among the top collaborators of Zhengyu He 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 Zhengyu He. Zhengyu He 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
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Peng, Yawen, Shuya Mei, Xiaohui Qi, et al.. (2025). PGC-1α mediates migrasome secretion accelerating macrophage–myofibroblast transition and contributing to sepsis-associated pulmonary fibrosis. Experimental & Molecular Medicine. 57(4). 759–774. 1 indexed citations
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Peng, Yawen, Ri Tang, Qiaoyi Xu, et al.. (2024). Worldwide productivity and research trend of publications concerning extracellular vesicles role in fibrosis: A bibliometric study from 2013 to 2022. Heliyon. 10(2). e24357–e24357. 2 indexed citations
5.
Zhong, Han, Shuya Mei, Ri Tang, et al.. (2024). LPS-induced monocarboxylate transporter-1 inhibition facilitates lactate accumulation triggering epithelial-mesenchymal transformation and pulmonary fibrosis. Cellular and Molecular Life Sciences. 81(1). 206–206. 10 indexed citations
6.
Mei, Shuya, Jiemin Wang, Zhiyun Zhang, et al.. (2024). Development and validation of a deep learning-based framework for automated lung CT segmentation and acute respiratory distress syndrome prediction: a multicenter cohort study. EClinicalMedicine. 75. 102772–102772. 8 indexed citations
7.
Shen, Peng, et al.. (2024). Nonlinear frequency modulation TFM with second-order TGV and Butterworth filter for detection of CFRP composites. Applied Acoustics. 231. 110457–110457. 2 indexed citations
8.
Huang, Xi, Qiaoyi Xu, Ri Tang, et al.. (2024). Pharmacological inhibition of the ACE/Ang-2/AT1 axis alleviates mechanical ventilation-induced pulmonary fibrosis. International Immunopharmacology. 131. 111855–111855. 4 indexed citations
9.
Leach, Kevin, Jin Li, Shoumeng Yan, et al.. (2023). Building a Lightweight Trusted Execution Environment for Arm GPUs. IEEE Transactions on Dependable and Secure Computing. 1–16. 3 indexed citations
10.
Luo, Ying, et al.. (2023). Understanding the traffic flow in different types of freeway tunnels based on car-following behaviors analysis. Tunnelling and Underground Space Technology. 143. 105494–105494. 8 indexed citations
11.
Mei, Shuya, Ri Tang, Qiaoyi Xu, et al.. (2023). Integrin β3 Mediates Sepsis and Mechanical Ventilation-Associated Pulmonary Fibrosis Through Glycometabolic Reprogramming. Laboratory Investigation. 103(1). 100021–100021. 5 indexed citations
12.
Tang, Ri, Yang Zhou, Shuya Mei, et al.. (2023). Fibrotic extracellular vesicles contribute to mechanical ventilation-induced pulmonary fibrosis development by activating lung fibroblasts via JNK signalling pathway: an experimental study. BMJ Open Respiratory Research. 10(1). e001753–e001753. 4 indexed citations
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Peng, Benli, et al.. (2021). Influence of Phase Change Material Physicochemical Properties on the Optimum Fin Structure in Charging Enhancement. SHILAP Revista de lepidopterología. 1 indexed citations
15.
Xu, Qiaoyi, Shuya Mei, Fang Nie, et al.. (2021). The role of macrophage–fibroblast interaction in lipopolysaccharide-induced pulmonary fibrosis: an acceleration in lung fibroblast aerobic glycolysis. Laboratory Investigation. 102(4). 432–439. 33 indexed citations
16.
Deng, Yuxiao, Lei Hou, Qiaoyi Xu, et al.. (2020). Cardiopulmonary Bypass Induces Acute Lung Injury via the High-Mobility Group Box 1/Toll-Like Receptor 4 Pathway. Disease Markers. 2020. 1–11. 14 indexed citations
17.
Wang, Jiaojian, Yang Ji, Xuemei Li, et al.. (2020). Improved and residual functional abnormalities in major depressive disorder after electroconvulsive therapy. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 100. 109888–109888. 35 indexed citations
18.
He, Zhengyu. (2020). Deep Learning in Image Classification: A Survey Report. 174–177. 27 indexed citations
19.
Xu, Jinping, Qiang Wei, Tongjian Bai, et al.. (2020). Electroconvulsive therapy modulates functional interactions between submodules of the emotion regulation network in major depressive disorder. Translational Psychiatry. 10(1). 271–271. 26 indexed citations
20.
Li, Wen, Qiaoyi Xu, Yuxiao Deng, et al.. (2015). High-mobility group box 1 accelerates lipopolysaccharide-induced lung fibroblast proliferation in vitro: involvement of the NF-κB signaling pathway. Laboratory Investigation. 95(6). 635–647. 28 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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