Xiaobin Hong

4.5k total citations
109 papers, 4.0k citations indexed

About

Xiaobin Hong is a scholar working on Mechanics of Materials, Electrical and Electronic Engineering and Mechanical Engineering. According to data from OpenAlex, Xiaobin Hong has authored 109 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Mechanics of Materials, 46 papers in Electrical and Electronic Engineering and 39 papers in Mechanical Engineering. Recurrent topics in Xiaobin Hong's work include Advanced Battery Materials and Technologies (39 papers), Advancements in Battery Materials (38 papers) and Ultrasonics and Acoustic Wave Propagation (37 papers). Xiaobin Hong is often cited by papers focused on Advanced Battery Materials and Technologies (39 papers), Advancements in Battery Materials (38 papers) and Ultrasonics and Acoustic Wave Propagation (37 papers). Xiaobin Hong collaborates with scholars based in China, Czechia and Hong Kong. Xiaobin Hong's co-authors include Kai Xie, Shizhao Xiong, Yan Diao, Shuangke Liu, Zhaoqing Jin, Chunman Zheng, Yuan Liu, Yujie Li, Bin Zhang and Zongqian Hu and has published in prestigious journals such as ACS Nano, Advanced Functional Materials and Journal of Power Sources.

In The Last Decade

Xiaobin Hong

107 papers receiving 3.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaobin Hong China 30 3.2k 1.5k 555 472 456 109 4.0k
Yancheng Zhang China 26 1.2k 0.4× 1.3k 0.8× 973 1.8× 336 0.7× 667 1.5× 83 2.8k
V. Sauvant-Moynot France 15 1.5k 0.5× 1.4k 1.0× 243 0.4× 160 0.3× 164 0.4× 26 2.0k
Song-Yul Choe United States 35 3.2k 1.0× 2.0k 1.3× 1.2k 2.1× 145 0.3× 445 1.0× 108 4.1k
Binghe Liu China 28 2.6k 0.8× 2.8k 1.9× 618 1.1× 111 0.2× 98 0.2× 65 3.4k
Dirk Heider United States 28 600 0.2× 436 0.3× 1.1k 2.0× 1.1k 2.3× 281 0.6× 91 2.6k
Rui Zhao China 20 1.7k 0.5× 1.7k 1.1× 436 0.8× 51 0.1× 185 0.4× 61 2.4k
Maoyuan Li China 28 408 0.1× 362 0.2× 606 1.1× 357 0.8× 943 2.1× 127 2.2k
Shaohua Wang China 26 959 0.3× 812 0.5× 659 1.2× 108 0.2× 237 0.5× 136 2.1k

Countries citing papers authored by Xiaobin Hong

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobin Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaobin Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaobin Hong. A scholar is included among the top collaborators of Xiaobin Hong 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 Xiaobin Hong. Xiaobin Hong 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.
Zhang, Bin, et al.. (2025). Virtual-real twin data powered deep adaptive detection method for corrosion damage in cable aluminum sheath structure using helical guided waves. Engineering Structures. 333. 120195–120195. 1 indexed citations
2.
Hong, Xiaobin, et al.. (2025). An intelligent optimization probability imaging method based on ultrasonic guided waves for rim-driven thruster protective layer damage detection. Smart Materials and Structures. 34(4). 45009–45009. 1 indexed citations
3.
Hong, Xiaobin, et al.. (2024). Omni-directional wavenumber dictionary modified imaging method for orthotropic composites damage detection using ultrasonic guided waves. Thin-Walled Structures. 205. 112419–112419. 9 indexed citations
4.
5.
Zhang, Bin, et al.. (2024). Ring Array Scatter Feature Adaption Deep Transfer Imaging Method for Composite Plate Structure Health Monitoring Using Guided Waves. IEEE Transactions on Instrumentation and Measurement. 73. 1–10. 4 indexed citations
6.
Cui, Bin, et al.. (2024). Research on Path-Following Technology of a Single-Outboard-Motor Unmanned Surface Vehicle Based on Deep Reinforcement Learning and Model Predictive Control Algorithm. Journal of Marine Science and Engineering. 12(12). 2321–2321. 1 indexed citations
7.
Sun, Xinxing, Shuangke Liu, Weiwei Sun, et al.. (2023). Space-confined synthesis of CoSe2-NC nanoclusters anchored on honeycomb-like carbon framework towards high-performance lithium sulfur battery. Ionics. 29(11). 4707–4722. 1 indexed citations
8.
9.
Hong, Xiaobin, et al.. (2023). A time-of-flight based weighted imaging method for carbon fiber reinforced plastics crack detection using ultrasound guided waves. NDT & E International. 137. 102855–102855. 12 indexed citations
10.
Hong, Xiaobin, et al.. (2023). Reference-free infrared thermography detection with subsurface heating for deep cavity in adhesive of hidden frame glass curtain wall. Measurement Science and Technology. 34(10). 104004–104004. 3 indexed citations
11.
Hong, Xiaobin, et al.. (2023). Multisource-Domain Adaptation-Based Damage Detection Method for Air-Conditioning Condenser Using Laser Ultrasonic Guided Wave. IEEE Transactions on Instrumentation and Measurement. 72. 1–11. 6 indexed citations
12.
Wu, Kaiyuan, et al.. (2023). Metal Transfer Behavior in AA6061 Aluminum Alloy Double-Wire Median Pulsed Gas Metal Arc Welding. Journal of Materials Engineering and Performance. 33(6). 2573–2584. 1 indexed citations
13.
Hong, Xiaobin, et al.. (2022). Vibration-Adaption Deep Convolutional Transfer Learning Method for Stranded Wire Structural Health Monitoring Using Guided Wave. IEEE Transactions on Instrumentation and Measurement. 72. 1–10. 9 indexed citations
14.
Hong, Xiaobin, et al.. (2022). Laser ultrasonic scanning for detection of damage in copper pipelines using blind compressive sensing and the adjacent area difference coefficient. Measurement Science and Technology. 33(6). 65202–65202. 6 indexed citations
15.
Hong, Xiaobin, et al.. (2022). CNN-LSTM network-based damage detection approach for copper pipeline using laser ultrasonic scanning. Ultrasonics. 121. 106685–106685. 67 indexed citations
16.
Huang, Tiansheng, Weiwei Lin, Xiaobin Hong, et al.. (2021). Adaptive Processor Frequency Adjustment for Mobile-Edge Computing With Intermittent Energy Supply. IEEE Internet of Things Journal. 9(10). 7446–7462. 8 indexed citations
17.
Hong, Xiaobin, et al.. (2021). Shedding Damage Detection of Metal Underwater Pipeline External Anticorrosive Coating by Ultrasonic Imaging Based on HOG + SVM. Journal of Marine Science and Engineering. 9(4). 364–364. 21 indexed citations
18.
Luo, Shiqiang, Weiwei Sun, Yiqi Wang, et al.. (2018). A 3D conductive network of porous carbon nanoparticles interconnected with carbon nanotubes as the sulfur host for long cycle life lithium–sulfur batteries. Nanoscale. 10(47). 22601–22611. 80 indexed citations
19.
Jin, Zhaoqing, Kai Xie, & Xiaobin Hong. (2014). Review of Electrolyte for Lithium Sulfur Battery. Acta Chimica Sinica. 72(1). 11–11. 17 indexed citations
20.
Hong, Xiaobin. (2012). Effect of temperature on discharge process of lithium sulfur batteries. Journal of National University of Defense Technology. 2 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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