Hai Dong

1.1k total citations
36 papers, 793 citations indexed

About

Hai Dong is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Materials Chemistry. According to data from OpenAlex, Hai Dong has authored 36 papers receiving a total of 793 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Biomedical Engineering, 10 papers in Electrical and Electronic Engineering and 10 papers in Materials Chemistry. Recurrent topics in Hai Dong's work include Aortic aneurysm repair treatments (8 papers), Aortic Disease and Treatment Approaches (8 papers) and nanoparticles nucleation surface interactions (8 papers). Hai Dong is often cited by papers focused on Aortic aneurysm repair treatments (8 papers), Aortic Disease and Treatment Approaches (8 papers) and nanoparticles nucleation surface interactions (8 papers). Hai Dong collaborates with scholars based in United States, China and United Kingdom. Hai Dong's co-authors include C.P. Wong, Kyoung‐sik Moon, S. Pothukuchi, Yi Li, Radenka Marić, A. Hunt, Hongjin Jiang, Fay Hua, Wei Sun and Jianchun Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Macromolecules.

In The Last Decade

Hai Dong

33 papers receiving 774 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hai Dong United States 12 366 280 220 123 116 36 793
Prantik Mazumder United States 17 216 0.6× 192 0.7× 424 1.9× 49 0.4× 210 1.8× 42 828
Jianguo Luo China 20 242 0.7× 201 0.7× 528 2.4× 44 0.4× 362 3.1× 62 1.3k
Shiqian Hu China 24 209 0.6× 304 1.1× 1.3k 5.9× 6 0.0× 140 1.2× 52 1.8k
Yaomi KUMAGAI Japan 9 301 0.8× 220 0.8× 141 0.6× 22 0.2× 104 0.9× 17 990
Zhaoping Chen China 16 417 1.1× 175 0.6× 398 1.8× 5 0.0× 174 1.5× 71 864
D. Marchetto Italy 16 311 0.8× 132 0.5× 482 2.2× 31 0.3× 471 4.1× 18 1.1k
Joo Hyung Park South Korea 18 785 2.1× 113 0.4× 664 3.0× 9 0.1× 12 0.1× 103 1.1k
Donghyun Seo South Korea 16 270 0.7× 171 0.6× 112 0.5× 20 0.2× 203 1.8× 30 833
Lucien Brush United States 14 101 0.3× 190 0.7× 371 1.7× 63 0.5× 136 1.2× 37 642

Countries citing papers authored by Hai Dong

Since Specialization
Citations

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

Fields of papers citing papers by Hai Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hai Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Hai Dong. A scholar is included among the top collaborators of Hai Dong 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 Hai Dong. Hai Dong 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.
Dong, Hai, Minliang Liu, Marina Piccinelli, et al.. (2024). Protective biomechanical and histological changes in the false lumen wall in chronic type B aortic dissection. JTCVS Open. 23. 60–68.
2.
3.
Liu, Minliang, Hai Dong, John N. Oshinski, et al.. (2024). The role of anatomic shape features in the prognosis of uncomplicated type B aortic dissection initially treated with optimal medical therapy. Computers in Biology and Medicine. 170. 108041–108041. 2 indexed citations
4.
Li, Yanan, et al.. (2023). Experimental and Numerical Study for Gas Release and Dispersion on Offshore Platforms. Processes. 11(12). 3437–3437.
5.
Dong, Hai, et al.. (2023). Effect of Nonlinear Hyperelastic Property of Arterial Tissues on the Pulse Wave Velocity Based on the Unified-Fiber-Distribution (UFD) Model. Annals of Biomedical Engineering. 51(11). 2441–2452. 2 indexed citations
6.
Dong, Hai, Minliang Liu, Xiaoying Lou, et al.. (2022). Ultimate tensile strength and biaxial stress–strain responses of aortic tissues—A clinical-engineering correlation. SHILAP Revista de lepidopterología. 10. 100101–100101. 5 indexed citations
7.
Dong, Hai, Minliang Liu, Liang Liang, et al.. (2022). Engineering analysis of aortic wall stress and root dilatation in the V-shape surgery for treatment of ascending aortic aneurysms. Interactive Cardiovascular and Thoracic Surgery. 34(6). 1124–1131. 3 indexed citations
8.
Song, Hannah, et al.. (2022). Comparative analysis of arterial compliance in mice genetically null for cathepsins K, L, or S. Journal of Biomechanics. 143. 111266–111266. 2 indexed citations
9.
Liu, Minliang, Liang Liang, Hai Dong, Wei Sun, & Rudolph L. Gleason. (2022). Constructing growth evolution laws of arteries via reinforcement learning. Journal of the Mechanics and Physics of Solids. 168. 105044–105044. 2 indexed citations
10.
Dong, Hai, Minliang Liu, Liang Liang, et al.. (2022). A novel computational growth framework for biological tissues: Application to growth of aortic root aneurysm repaired by the V-shape surgery. Journal of the mechanical behavior of biomedical materials. 127. 105081–105081. 8 indexed citations
11.
Liu, Minliang, Liang Liang, Hai Dong, et al.. (2021). Computation of a probabilistic and anisotropic failure metric on the aortic wall using a machine learning-based surrogate model. Computers in Biology and Medicine. 137. 104794–104794. 22 indexed citations
12.
Dong, Hai, et al.. (2015). A nonlinear Cosserat interphase model for residual stresses in an inclusion and the interphase that bonds it to an infinite matrix. International Journal of Solids and Structures. 62. 186–206. 11 indexed citations
13.
Tao, Xiaoping, et al.. (2013). Experimental Study of ZnO-Coated Alumina DBD in Atmospheric Pressure Air. Plasma Science and Technology. 15(8). 787–790. 1 indexed citations
14.
Dong, Hai, et al.. (2007). Magnetic Nanocomposite for Potential Ultrahigh Frequency Microelectronic Application. Journal of Electronic Materials. 36(5). 593–597. 15 indexed citations
15.
Dong, Hai, Kyoung‐sik Moon, Hongjin Jiang, C.P. Wong, & Fay Hua. (2006). Simulation study of nanoparticle melting behavior for lead free nano solder application. 107–107. 1 indexed citations
16.
Moon, Kyoung‐sik, Hai Dong, Radenka Marić, et al.. (2005). Thermal behavior of silver nanoparticles for low-temperature interconnect applications. Journal of Electronic Materials. 34(2). 168–175. 328 indexed citations
17.
Dong, Hai, et al.. (2005). Molecular dynamics simulation of lead free solder for low temperature reflow applications. 2. 983–987. 2 indexed citations
18.
Dong, Hai, Zhuqing Zhang, & C.P. Wong. (2005). Molecular dynamics study of a nano-particle joint for potential lead-free anisotropic conductive adhesives applications. Journal of Adhesion Science and Technology. 19(2). 87–94. 2 indexed citations
19.
Dong, Hai, et al.. (2004). Magnetic nanocomposite for high Q embedded inductor. 171–174. 11 indexed citations
20.
Dong, Hai & Karl I. Jacob. (2003). Effect of Molecular Orientation on Polymer Free Volume Distribution:  An Atomistic Approach. Macromolecules. 36(23). 8881–8885. 17 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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