Xiaodong Shi

502 total citations · 1 hit paper
19 papers, 388 citations indexed

About

Xiaodong Shi is a scholar working on Ocean Engineering, Biomedical Engineering and Mechanical Engineering. According to data from OpenAlex, Xiaodong Shi has authored 19 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Ocean Engineering, 6 papers in Biomedical Engineering and 4 papers in Mechanical Engineering. Recurrent topics in Xiaodong Shi's work include Microwave Imaging and Scattering Analysis (5 papers), Microwave and Dielectric Measurement Techniques (4 papers) and Reservoir Engineering and Simulation Methods (3 papers). Xiaodong Shi is often cited by papers focused on Microwave Imaging and Scattering Analysis (5 papers), Microwave and Dielectric Measurement Techniques (4 papers) and Reservoir Engineering and Simulation Methods (3 papers). Xiaodong Shi collaborates with scholars based in United States, China and British Virgin Islands. Xiaodong Shi's co-authors include Yiming Deng, Zhong Lin Wang, Xianchen Xu, Yaokun Pang, Shoue Chen, Yu‐Hui Fang, Changyong Cao, Лалита Удпа, Saptarshi Mukherjee and Satish Udpa and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Nano Energy.

In The Last Decade

Xiaodong Shi

17 papers receiving 374 citations

Hit Papers

Skin-inspired textile-based tactile sensors enable multif... 2022 2026 2023 2024 2022 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaodong Shi United States 7 234 97 91 64 56 19 388
Milan Raj United States 8 459 2.0× 131 1.4× 152 1.7× 111 1.7× 21 0.4× 15 529
Praveenkumar Pasupathy United States 6 265 1.1× 90 0.9× 104 1.1× 79 1.2× 48 0.9× 8 342
Sohyun Kim South Korea 12 283 1.2× 85 0.9× 41 0.5× 37 0.6× 32 0.6× 28 474
Lijun Teng China 11 344 1.5× 76 0.8× 152 1.7× 102 1.6× 30 0.5× 16 465
Siyuan Xing United States 9 411 1.8× 71 0.7× 172 1.9× 45 0.7× 44 0.8× 19 553
Zhongbao Wang China 12 342 1.5× 96 1.0× 131 1.4× 69 1.1× 13 0.2× 20 458
Yu Xie China 12 300 1.3× 84 0.9× 112 1.2× 67 1.0× 21 0.4× 31 475
Chen Wei United States 10 191 0.8× 30 0.3× 108 1.2× 56 0.9× 56 1.0× 21 460
Yuhao Zhou China 8 275 1.2× 108 1.1× 75 0.8× 105 1.6× 21 0.4× 31 444

Countries citing papers authored by Xiaodong Shi

Since Specialization
Citations

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

Fields of papers citing papers by Xiaodong Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaodong Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaodong Shi. A scholar is included among the top collaborators of Xiaodong Shi 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 Xiaodong Shi. Xiaodong Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Peng, Lei, et al.. (2024). Fast VGG: An Advanced Pre-Trained Deep Learning Framework for Multi-Layered Composite NDE via Multifrequency Near-Field Microwave Imaging. Research in Nondestructive Evaluation. 35(2). 102–118. 3 indexed citations
2.
Shi, Xiaodong, et al.. (2024). Application of Seismic Attribute Analysis Technology Guided by Model Forward Modeling in L29 Area. SHILAP Revista de lepidopterología. 478. 1010–1010.
3.
Shi, Xiaodong, Jiaoyang Li, Vivek T. Rathod, et al.. (2022). Ultra-Wideband Microwave Imaging System for Root Phenotyping. Sensors. 22(5). 2031–2031. 9 indexed citations
4.
Pang, Yaokun, Xianchen Xu, Shoue Chen, et al.. (2022). Skin-inspired textile-based tactile sensors enable multifunctional sensing of wearables and soft robots. Nano Energy. 96. 107137–107137. 217 indexed citations breakdown →
5.
Mukherjee, Saptarshi, Xiaodong Shi, Mahmood Haq, et al.. (2021). Negative Index Metamaterial Lens for Subwavelength Microwave Detection. Sensors. 21(14). 4782–4782. 13 indexed citations
6.
Shi, Xiaodong, Jiaoyang Li, Andrew J. Petruska, et al.. (2021). AI-Enabled Robotic NDE for Structural Damage Assessment and Repair. Materials Evaluation. 79(7). 739–751. 3 indexed citations
7.
Zhang, Danhua Leslie, et al.. (2021). Formation Characterization and Production Forecast of Tight Sandstone Formations in Daqing Oilfield Through Digital Rock Technology. SPE Annual Technical Conference and Exhibition. 1 indexed citations
8.
Shi, Xiaodong & Manolis N. Chatzis. (2020). LIE SYMMETRIES, OBSERVABILITY AND MODEL TRANSFORMATION OF NONLINEAR SYSTEMS WITH UNKNOWN INPUTS. Oxford University Research Archive (ORA) (University of Oxford). 901–911. 4 indexed citations
9.
Shi, Xiaodong, et al.. (2020). Model-Based Study of a Metamaterial Lens for Nondestructive Evaluation of Composites. Journal of Nondestructive Evaluation Diagnostics and Prognostics of Engineering Systems. 3(4). 5 indexed citations
10.
Mukherjee, Saptarshi, et al.. (2020). A Hybrid Microwave NDE System for Rapid Inspection of GFRP Composites. Materials Evaluation. 78(8). 963–975. 5 indexed citations
11.
Shi, Xiaodong, Vivek T. Rathod, Saptarshi Mukherjee, Лалита Удпа, & Yiming Deng. (2019). Multi-modality strain estimation using a rapid near-field microwave imaging system for dielectric materials. Measurement. 151. 107243–107243. 10 indexed citations
12.
Chen, Fengxi, et al.. (2019). Research on Model Based Method of Reliability Analysis for Space System. Proceedings of the 29th European Safety and Reliability Conference (ESREL). 2554–2561. 1 indexed citations
13.
Shi, Xiaodong, et al.. (2019). Semantic Mapping for Model Transformation Between AADL2 and HiP-HOPS. Repository@Hull (Worktribe) (University of Hull). 21. 539–543. 1 indexed citations
14.
Mukherjee, Saptarshi, et al.. (2019). Enhancement of microwave time reversal imaging using metallic reflectors. NDT & E International. 110. 102192–102192. 3 indexed citations
15.
Tatavosian, Roubina, Huy Nguyen Duc, Thao Ngoc Huynh, et al.. (2018). Live-cell single-molecule dynamics of PcG proteins imposed by the DIPG H3.3K27M mutation. Nature Communications. 9(1). 2080–2080. 54 indexed citations
16.
Mukherjee, Saptarshi, Xiaodong Shi, Лалита Удпа, et al.. (2018). Design of a Split-Ring Resonator Sensor for Near-Field Microwave Imaging. IEEE Sensors Journal. 18(17). 7066–7076. 48 indexed citations
17.
Li, Jinlong, et al.. (2017). The Application of Ultrasonic Imaging Technology in the Detection of Water Filled Goaf Area: A Case Study. 51st U.S. Rock Mechanics/Geomechanics Symposium. 1 indexed citations
18.
Shi, Xiaodong, et al.. (2017). Micromagnetic measurement for characterization of ferromagnetic materials’ microstructural properties. AIP Advances. 8(5). 8 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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