Peng Qi

7.3k total citations · 4 hit papers
219 papers, 4.9k citations indexed

About

Peng Qi is a scholar working on Biomedical Engineering, Mechanical Engineering and Materials Chemistry. According to data from OpenAlex, Peng Qi has authored 219 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Biomedical Engineering, 51 papers in Mechanical Engineering and 44 papers in Materials Chemistry. Recurrent topics in Peng Qi's work include Soft Robotics and Applications (27 papers), Aluminum Alloy Microstructure Properties (18 papers) and Genetic Neurodegenerative Diseases (16 papers). Peng Qi is often cited by papers focused on Soft Robotics and Applications (27 papers), Aluminum Alloy Microstructure Properties (18 papers) and Genetic Neurodegenerative Diseases (16 papers). Peng Qi collaborates with scholars based in China, United States and United Kingdom. Peng Qi's co-authors include Wenzhen Duan, Christopher A. Ross, Mali Jiang, Kaspar Althoefer, Shuai Du, Yanyan Peng, Zhigang Tao, Weili Gong, Manchao He and Jiong Wang and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Peng Qi

202 papers receiving 4.8k citations

Hit Papers

Development of a novel energy-absorbing bolt with extraor... 2012 2026 2016 2021 2014 2012 2016 2024 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peng Qi China 37 1.3k 835 786 772 749 219 4.9k
Ping Xie China 30 2.0k 1.6× 853 1.0× 1.6k 2.1× 338 0.4× 752 1.0× 170 5.3k
Hsin‐Yi Lai Taiwan 30 814 0.7× 299 0.4× 136 0.2× 265 0.3× 564 0.8× 120 2.8k
Takashi Maéno Japan 40 2.4k 1.9× 547 0.7× 1.2k 1.5× 965 1.3× 966 1.3× 472 7.1k
Jun Morimoto Japan 40 2.9k 2.3× 485 0.6× 1.8k 2.3× 209 0.3× 285 0.4× 322 6.3k
Hongtao Wu China 32 994 0.8× 568 0.7× 1.4k 1.7× 342 0.4× 140 0.2× 190 3.3k
Jinhua Zhang China 31 768 0.6× 1.2k 1.4× 472 0.6× 186 0.2× 209 0.3× 212 3.2k
Carlo Menon Canada 45 4.7k 3.7× 979 1.2× 471 0.6× 69 0.1× 603 0.8× 425 8.2k
Dingguo Zhang China 37 2.2k 1.7× 337 0.4× 664 0.8× 61 0.1× 1.6k 2.1× 291 4.7k
Zhonghua Hu China 33 450 0.4× 403 0.5× 156 0.2× 691 0.9× 201 0.3× 117 3.4k
Hongbin Liu United Kingdom 41 3.1k 2.4× 842 1.0× 1.2k 1.5× 178 0.2× 106 0.1× 240 5.3k

Countries citing papers authored by Peng Qi

Since Specialization
Citations

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

Fields of papers citing papers by Peng Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Qi

This figure shows the co-authorship network connecting the top 25 collaborators of Peng Qi. A scholar is included among the top collaborators of Peng Qi 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 Peng Qi. Peng Qi 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.
Liu, Huanhuan, Yuxin Chen, Fuping Zhang, et al.. (2025). rTMS ameliorates CUMS-induced anxiety-depression-like behaviour and cognitive dysfunction in rats by modulating the COX-2/PGE2 signalling pathway. Journal of Psychiatric Research. 186. 116–128. 3 indexed citations
2.
Yao, Tianliang, Bo Lu, Markus Kowarschik, et al.. (2025). Advancing Embodied Intelligence in Robotic-Assisted Endovascular Procedures: A Systematic Review of AI Solutions. IEEE Reviews in Biomedical Engineering. 19. 248–266.
3.
Uniyal, Ankit, Niyada Hin, Qian Xu, et al.. (2025). An orally bioavailable MrgprX1-positive allosteric modulator alleviates certain neuropathic pain–related behaviors in humanized mice. Science Translational Medicine. 17(829). eadw9446–eadw9446.
4.
Tan, Xiaoyu, et al.. (2025). Learning Expressive Task Embeddings and Sample-Efficient Exploration for Context Shift Reduction in Offline Meta-Reinforcement Environment. IEEE Transactions on Cognitive and Developmental Systems. 1–15.
5.
Lu, Bo, Bruce X. B. Yu, Mingchuan Zhou, et al.. (2025). PLDKD-Net: Pixel-Level Discriminative Knowledge Distillation for Surgical Scene Segmentation With Graph-Based Visual Parsing. IEEE Transactions on Instrumentation and Measurement. 74. 1–14. 1 indexed citations
6.
Qi, Peng, Mengjie Huang, & Haiyan Zhu. (2024). Association between alcohol drinking frequency and depression among adults in the United States: a cross-sectional study. BMC Psychiatry. 24(1). 836–836. 7 indexed citations
7.
Chen, Ben, Zhangying Wu, Huarong Zhou, et al.. (2024). Odor identification dysfunction in late-life depression with suicidal ideation. Journal of Affective Disorders. 367. 768–776. 2 indexed citations
8.
Limjunyawong, Nathachit, Can Cao, James Meixiong, et al.. (2024). MRGPRX4 mediates phospho-drug–associated pruritus in a humanized mouse model. Science Translational Medicine. 16(746). eadk8198–eadk8198. 5 indexed citations
9.
Huang, Zijie, Chen Yang, Peng Qi, et al.. (2024). MedChatZH: A tuning LLM for traditional Chinese medicine consultations. Computers in Biology and Medicine. 172. 108290–108290. 55 indexed citations breakdown →
10.
Wei, Wu, Wei Shi, Xiaorong Zhou, et al.. (2023). Effects of homogenization on the microstructural evolution of a novel Zr and Er containing Al–Mg–Zn alloy. Intermetallics. 158. 107907–107907. 14 indexed citations
11.
Yao, Tianliang, et al.. (2023). Enhancing percutaneous coronary intervention with heuristic path planning and deep-learning-based vascular segmentation. Computers in Biology and Medicine. 166. 107540–107540. 9 indexed citations
12.
Qi, Peng, Iοannis Kakkos, Kuijun Wu, et al.. (2023). Individualized Prediction of Task Performance Decline Using Pre-Task Resting-State Functional Connectivity. IEEE Journal of Biomedical and Health Informatics. 27(10). 4971–4982. 1 indexed citations
13.
Gao, Kunyuan, Xiaojun Zhang, Wu Wei, et al.. (2023). A shear modified GTN model based on stress degradation method for predicting ductile fracture. Modelling and Simulation in Materials Science and Engineering. 31(8). 85004–85004. 7 indexed citations
14.
Qi, Peng, Enlai Gao, Kun Wang, et al.. (2021). Core–Shell Magnetic Micropillars for Reprogrammable Actuation. ACS Nano. 15(3). 4747–4758. 40 indexed citations
15.
Kang, Guozheng, et al.. (2019). Phase field modeling to transformation induced plasticity in super-elastic NiTi shape memory alloy single crystal. Modelling and Simulation in Materials Science and Engineering. 27(4). 45001–45001. 25 indexed citations
16.
Qi, Peng, Lingyun Gao, Jianjun Meng, et al.. (2019). Effects of Rest-Break on Mental Fatigue Recovery Determined by a Novel Temporal Brain Network Analysis of Dynamic Functional Connectivity. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 28(1). 62–71. 16 indexed citations
18.
Shi, Chaoyang, Xióngbiāo Luó, Peng Qi, et al.. (2016). Shape Sensing Techniques for Continuum Robots in Minimally Invasive Surgery: A Survey. IEEE Transactions on Biomedical Engineering. 64(8). 1665–1678. 308 indexed citations breakdown →
19.
Xl, Li, et al.. (2015). Tumor Heterogeneity: The Challenge of Precision Medicine. PROGRESS IN BIOCHEMISTRY AND BIOPHYSICS. 7 indexed citations
20.
Jiang, Mali, Peng Qi, Xinfeng Liu, et al.. (2013). Small-molecule TrkB receptor agonists improve motor function and extend survival in a mouse model of Huntington's disease. Human Molecular Genetics. 22(12). 2462–2470. 105 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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