Qingdi Wang

629 total citations
11 papers, 418 citations indexed

About

Qingdi Wang is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Qingdi Wang has authored 11 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cardiology and Cardiovascular Medicine, 3 papers in Pulmonary and Respiratory Medicine and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Qingdi Wang's work include Aortic Disease and Treatment Approaches (3 papers), Aortic aneurysm repair treatments (3 papers) and Cell Image Analysis Techniques (2 papers). Qingdi Wang is often cited by papers focused on Aortic Disease and Treatment Approaches (3 papers), Aortic aneurysm repair treatments (3 papers) and Cell Image Analysis Techniques (2 papers). Qingdi Wang collaborates with scholars based in Australia, China and United Kingdom. Qingdi Wang's co-authors include Hui Gong, Anan Li, Qingming Luo, Shaoqun Zeng, Qian Liu, Bin Zhang, Cheng Yan, Jingpeng Wu, Eric Poon and Ruth Lim and has published in prestigious journals such as Science, European Heart Journal and Experimental Biology and Medicine.

In The Last Decade

Qingdi Wang

9 papers receiving 409 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qingdi Wang Australia 5 239 95 95 69 61 11 418
Bihe Hu United States 6 202 0.8× 88 0.9× 79 0.8× 36 0.5× 71 1.2× 9 340
Marie Caroline Müllenbroich Italy 13 203 0.8× 113 1.2× 126 1.3× 59 0.9× 127 2.1× 32 473
Sharmishtaa Seshamani United States 10 241 1.0× 150 1.6× 81 0.9× 136 2.0× 62 1.0× 24 733
Mihail Ivilinov Todorov Germany 10 167 0.7× 137 1.4× 116 1.2× 120 1.7× 58 1.0× 15 514
Kerry M. Brown United States 8 252 1.1× 84 0.9× 21 0.2× 58 0.8× 81 1.3× 8 425
Oliver Schoppe Germany 7 99 0.4× 74 0.8× 92 1.0× 110 1.6× 32 0.5× 10 468
Malte Casper United States 9 215 0.9× 68 0.7× 231 2.4× 55 0.8× 35 0.6× 14 415
Evan McCreedy United States 13 112 0.5× 102 1.1× 193 2.0× 127 1.8× 34 0.6× 25 590
Jakob Gierten Germany 13 144 0.6× 327 3.4× 85 0.9× 27 0.4× 97 1.6× 23 655
Jonas Binding France 6 163 0.7× 31 0.3× 179 1.9× 90 1.3× 43 0.7× 8 342

Countries citing papers authored by Qingdi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Qingdi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingdi Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Qingdi Wang. A scholar is included among the top collaborators of Qingdi Wang 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 Qingdi Wang. Qingdi Wang 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
2.
Wang, Qingdi, Daniel Stäb, Ning Jin, et al.. (2025). Patient-specific prediction of arterial wall elasticity using medical image-informed in-silico simulations. Computers in Biology and Medicine. 188. 109849–109849.
3.
Liu, Xiaolei, et al.. (2024). High-altitude hypoxia exposure alters follicular metabolome and oocyte developmental potential in women. Archives of Gynecology and Obstetrics. 311(4). 1051–1061. 1 indexed citations
4.
Tsai, Tsung‐Ying, Yoshinobu Onuma, Shigetaka Kageyama, et al.. (2023). Merging virtual and physical experiences: extended realities in cardiovascular medicine. European Heart Journal. 44(35). 3311–3322. 28 indexed citations
5.
Liu, Xiaolei, et al.. (2023). Effects of high-altitude hypoxia on embryonic developmental potential in women undergoing IVF/ICSI procedures. Archives of Gynecology and Obstetrics. 307(6). 1983–1989. 1 indexed citations
6.
Wang, Qingdi, Mark Brooks, Jason Chuen, et al.. (2022). MRI in CFD for chronic type B aortic dissection: Ready for prime time?. Computers in Biology and Medicine. 150. 106138–106138. 6 indexed citations
7.
Wang, Qingdi, Daniel Stäb, Ning Jin, et al.. (2022). Computational fluid dynamic simulations informed by CT and 4D flow MRI for post-surgery aortic dissection – A case study. International Journal of Heat and Fluid Flow. 96. 108986–108986. 13 indexed citations
8.
Wang, Qingdi, et al.. (2020). Three-dimensional CFD Simulation of Blood Flow in Aortic Dissection. 1 indexed citations
9.
Li, Anan, Hui Gong, Bin Zhang, et al.. (2019). MT volume 27 issue 2 Cover and Front matter. Microscopy Today. 27(2). f1–f6. 1 indexed citations
10.
Wang, Qingdi, Anan Li, Hui Gong, Dongli Xu, & Qingming Luo. (2012). Quantitative study on the hygroscopic expansion of spurr resin to obtain a high-resolution atlas of the mouse brain. Experimental Biology and Medicine. 237(10). 1134–1141. 7 indexed citations
11.
Li, Anan, Hui Gong, Bin Zhang, et al.. (2010). Micro-Optical Sectioning Tomography to Obtain a High-Resolution Atlas of the Mouse Brain. Science. 330(6009). 1404–1408. 360 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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