Yun Hu

603 total citations
40 papers, 453 citations indexed

About

Yun Hu is a scholar working on Mechanical Engineering, Aerospace Engineering and Materials Chemistry. According to data from OpenAlex, Yun Hu has authored 40 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Mechanical Engineering, 9 papers in Aerospace Engineering and 8 papers in Materials Chemistry. Recurrent topics in Yun Hu's work include Additive Manufacturing Materials and Processes (7 papers), Surface Treatment and Residual Stress (5 papers) and Brain Tumor Detection and Classification (5 papers). Yun Hu is often cited by papers focused on Additive Manufacturing Materials and Processes (7 papers), Surface Treatment and Residual Stress (5 papers) and Brain Tumor Detection and Classification (5 papers). Yun Hu collaborates with scholars based in China, United Kingdom and Norway. Yun Hu's co-authors include Minjie Song, Lushen Wu, Jiaming Liu, Jing Xu, Xiang Liu, Kai Xie, Shuangke Liu, Guolin Wang, Kamran Nikbin and Chaosheng Yuan and has published in prestigious journals such as The Journal of Chemical Physics, Journal of Power Sources and Materials.

In The Last Decade

Yun Hu

37 papers receiving 435 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yun Hu China 11 235 110 82 70 57 40 453
Ruilan Tian China 15 491 2.1× 80 0.7× 78 1.0× 90 1.3× 39 0.7× 44 763
Hongsheng Zhang China 11 404 1.7× 115 1.0× 76 0.9× 111 1.6× 27 0.5× 45 622
Andrew Feeney United Kingdom 13 132 0.6× 164 1.5× 81 1.0× 191 2.7× 26 0.5× 66 526
Huann-Ming Chou Taiwan 16 320 1.4× 68 0.6× 107 1.3× 105 1.5× 43 0.8× 60 589
Heng Chen China 9 244 1.0× 54 0.5× 110 1.3× 35 0.5× 19 0.3× 35 384
Chong Zhao China 13 289 1.2× 72 0.7× 170 2.1× 79 1.1× 9 0.2× 55 559
Weihao Zhang China 13 230 1.0× 47 0.4× 25 0.3× 47 0.7× 29 0.5× 51 525
Qingbo Ao China 12 184 0.8× 25 0.2× 55 0.7× 78 1.1× 63 1.1× 22 443
Xianjie Zhang China 12 205 0.9× 45 0.4× 118 1.4× 43 0.6× 60 1.1× 37 339

Countries citing papers authored by Yun Hu

Since Specialization
Citations

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

Fields of papers citing papers by Yun Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Yun Hu. A scholar is included among the top collaborators of Yun Hu 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 Yun Hu. Yun Hu 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.
Song, Minjie, Yue Qiu, Boan Xu, et al.. (2025). Fatigue failure and grain refinement strengthening mechanism of aluminum alloy weld. International Journal of Fatigue. 197. 108950–108950. 7 indexed citations
2.
Zhang, Jiaxun, Yujie Zhang, Jing Liu, et al.. (2025). Recent Advances in Electrospun Nanofiber-Based Self-Powered Triboelectric Sensors for Contact and Non-Contact Sensing. Nanomaterials. 15(14). 1080–1080. 2 indexed citations
3.
Hu, Yun, Wei Zhang, Han Zou, et al.. (2025). Robotic versus laparoscopic total gastrectomy for gastric cancer: a systematic review and meta-analysis of perioperative and oncologic outcomes. International Journal of Surgery. 111(9). 6397–6411.
4.
Hu, Yun, et al.. (2024). Defect characteristics-based low-cycle fatigue life prediction model for additive manufactured Ti-6Al-4 V alloys. Theoretical and Applied Fracture Mechanics. 134. 104737–104737. 5 indexed citations
5.
Song, Minjie, Shaoning Geng, Yue Qiu, et al.. (2024). In-situ EBSD-DIC simulation of microstructure evolution of aluminum alloy welds. International Journal of Mechanical Sciences. 284. 109741–109741. 10 indexed citations
6.
Hu, Yun, et al.. (2024). Energy dissipation-based LCF model for additive manufactured alloys with dispersed fatigue properties. Engineering Failure Analysis. 159. 108139–108139. 6 indexed citations
7.
Hu, Yun, et al.. (2024). Numerical simulation of surface roughness effects on low-cycle fatigue properties of additively manufactured titanium alloys. Engineering Failure Analysis. 163. 108407–108407. 9 indexed citations
8.
Hu, Yun, et al.. (2024). A remaining multiaxial ductility-based fracture toughness prediction model for metallic alloys. Theoretical and Applied Fracture Mechanics. 133. 104570–104570. 2 indexed citations
10.
Hu, Yun, et al.. (2023). Meso-mechanics-based microstructural modelling approach to predict low cycle fatigue properties in additively manufactured alloys. Engineering Failure Analysis. 154. 107687–107687. 5 indexed citations
11.
Zhu, Yian, et al.. (2021). Brain Tumor Segmentation for Missing Modalities by Supplementing Missing Features. 652–656. 4 indexed citations
12.
Song, Minjie, Jiaming Liu, Hongnan Chen, et al.. (2021). Effects and optimization of biomimetic laser shock peening on residual fatigue life improvement of aluminum alloy used in aircraft skin. Theoretical and Applied Fracture Mechanics. 117. 103155–103155. 8 indexed citations
13.
Li, Hao, et al.. (2021). Progressive structure network-based multiscale feature fusion for object detection in real-time application. Engineering Applications of Artificial Intelligence. 106. 104486–104486. 13 indexed citations
14.
Wang, Guolin, Lushen Wu, Yun Hu, & Minjie Song. (2020). Point cloud simplification algorithm based on the feature of adaptive curvature entropy. Measurement Science and Technology. 32(6). 65004–65004. 27 indexed citations
15.
Hu, Yun, Minjie Song, Jiaming Liu, & Min Lei. (2020). Effects of stop hole on crack turning, residual fatigue life and crack tip stress field. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 42(5). 13 indexed citations
16.
Wang, Shaoyu, et al.. (2019). Pathological Image Classification of Breast Cancer Based on Residual Network and Focal Loss. 211–214. 3 indexed citations
17.
Hu, Yun, et al.. (2010). Preparation of High-Density Nanocrystalline Bulk Selenium by Rapid Compressing of Melt. Chinese Physics Letters. 27(3). 38101–38101. 3 indexed citations
18.
Su, Lei, Liangbin Li, Yun Hu, et al.. (2009). Phase transition of [Cn-mim][PF6] under high pressure up to 1.0 GPa. The Journal of Chemical Physics. 130(18). 184503–184503. 34 indexed citations
19.
Hu, Yun, et al.. (2002). Detecting dim point target in image data using adaptive prediction filter. 1. 197–200. 1 indexed citations
20.
Guan, Hua, et al.. (1995). <title>Directional high-order correlation method for detecting dim point-source targets in IR noise</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2561. 567–577. 1 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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