Jun Tu

1.3k total citations
71 papers, 995 citations indexed

About

Jun Tu is a scholar working on Mechanics of Materials, Mechanical Engineering and Computer Networks and Communications. According to data from OpenAlex, Jun Tu has authored 71 papers receiving a total of 995 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Mechanics of Materials, 23 papers in Mechanical Engineering and 12 papers in Computer Networks and Communications. Recurrent topics in Jun Tu's work include Ultrasonics and Acoustic Wave Propagation (24 papers), Non-Destructive Testing Techniques (21 papers) and Welding Techniques and Residual Stresses (6 papers). Jun Tu is often cited by papers focused on Ultrasonics and Acoustic Wave Propagation (24 papers), Non-Destructive Testing Techniques (21 papers) and Welding Techniques and Residual Stresses (6 papers). Jun Tu collaborates with scholars based in China, United States and Australia. Jun Tu's co-authors include Wenqing Li, Hesheng Wang, Zong-Guo Xia, Xin Jin, Zifan Zhang, Hua Ming, Hongying Liu, Qilin Liao, Juliana Maantay and Andrew Maroko and has published in prestigious journals such as Atmospheric Environment, Sensors and Chemical Engineering Science.

In The Last Decade

Jun Tu

58 papers receiving 960 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jun Tu China	12	239	234	227	225	192	71	995
Haitao Zhang China	19	123 0.5×	87 0.4×	351 1.5×	113 0.5×	323 1.7×	81	1.3k
Čedo Maksimović United Kingdom	19	137 0.6×	150 0.6×	387 1.7×	296 1.3×	445 2.3×	38	1.4k
Yanlong Guan China	16	69 0.3×	104 0.4×	227 1.0×	187 0.8×	321 1.7×	32	909
Lin Lin China	18	208 0.9×	317 1.4×	198 0.9×	59 0.3×	267 1.4×	77	1.0k
Jianqiang Zhang China	17	153 0.6×	230 1.0×	75 0.3×	50 0.2×	332 1.7×	50	989
Donglin Dong China	13	226 0.9×	99 0.4×	175 0.8×	55 0.2×	123 0.6×	51	649
Rudy Gargano Italy	23	102 0.4×	75 0.3×	659 2.9×	519 2.3×	314 1.6×	66	1.7k
Weifeng Xue China	11	44 0.2×	110 0.5×	264 1.2×	275 1.2×	458 2.4×	24	1.4k
Tianxin Li China	15	140 0.6×	63 0.3×	174 0.8×	83 0.4×	150 0.8×	44	727

Countries citing papers authored by Jun Tu

Since Specialization

Citations

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

Fields of papers citing papers by Jun Tu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Tu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Tu, Jun, et al.. (2025). The characterisation of surface-breaking crack using ultrasonic total focusing method imaging based on COA-VMD. Nondestructive Testing And Evaluation. 41(3). 1295–1317.

Yang, Yu‐Shang, et al.. (2025). Reversal of chemotherapy resistance in gastric cancer with traditional Chinese medicine as sensitizer: potential mechanism of action. Frontiers in Oncology. 15. 1524182–1524182. 1 indexed citations

Feng, Qibo, et al.. (2025). Quantification Method for Rivet Hole Cracks in an Aircraft Fuselage Using Guided Waves: A BTBD-Theory-Hybrid Space-Time Cross Fusion SpatNet. IEEE Transactions on Industrial Informatics. 21(5). 3996–4007.

Zhang, Fuchun, et al.. (2025). MSANet: Electromagnetic ultrasonic signal recognition and grading of submarine pipeline defects based on a multi-sensory attention network. International Journal of Pressure Vessels and Piping. 219. 105692–105692. 1 indexed citations

Tu, Jun, et al.. (2025). Activated nickel tailings for remediation of arsenic-contaminated soils: Tailings activation, leaching toxicity and passivation mechanisms. Journal of environmental chemical engineering. 13(2). 115912–115912. 5 indexed citations

Tu, Jun, et al.. (2024). Dynamic quality and advertising strategies in product-harm crises: The role of supply chain power structure. Computers & Industrial Engineering. 192. 110243–110243. 10 indexed citations

Kang, Yihua, et al.. (2024). Coil-Only High-Frequency Lamb Wave Generation in Nickel Sheets. Sensors. 24(22). 7141–7141.

Li, Bo, et al.. (2024). A novel amplitude enhancement method of EMAT for High-frequency Rayleigh-like waves in Circumferential propagation. NDT & E International. 148. 103231–103231. 1 indexed citations

Tu, Jun, et al.. (2024). Characterization of Small Delamination Defects by Multilayer Flexible EMAT. IEEE Sensors Journal. 24(12). 19210–19219. 3 indexed citations

10.

Tu, Jun, Qibo Feng, Songling Huang, et al.. (2024). A High-Precision Defect Quantification Method Using a Unilateral Oblique Focusing Guided Wave EMAT and a Theory-Informed Explainable Progressive Residual Deep Convolutional Network. IEEE Transactions on Instrumentation and Measurement. 73. 1–9. 2 indexed citations

11.

Yang, Xin, et al.. (2023). Debonding Detection in Aluminum/Rigid Polyurethane Foam Composite Plates Using A0 Mode LAMB Wave EMATs. Materials. 16(7). 2797–2797. 11 indexed citations

12.

Deng, Zhiyang, et al.. (2023). Quantitative Identification Method for Glass Panel Defects Using Microwave Detection Based on the CSAPSO-BP Neural Network. Sensors. 23(3). 1097–1097. 1 indexed citations

13.

Tu, Jun, et al.. (2023). Energy Transfer Efficiency Based Nonlinear Ultrasonic Testing Technique for Debonding Defects of Aluminum Alloy Foam Sandwich Panels. Sensors. 23(6). 3008–3008.

14.

Tu, Jun, Yihua Kang, & Yaoyao Liu. (2014). A New Magnetic Configuration for a Fast Electromagnetic Acoustic Transducer Applied to Online Steel Pipe Wall Thickness Measurements. Materials Evaluation. 72(11). 2 indexed citations

15.

Shi, Zhiguo, et al.. (2013). The improved Q-Learning algorithm based on pheromone mechanism for swarm robot system. ANU Open Research (Australian National University). 6033–6038. 5 indexed citations

16.

Shi, Zhiguo, et al.. (2011). IRGS protocol based mobile service robot positioning and multi-robot collaboration for smart home. Chinese Control Conference. 4741–4746. 1 indexed citations

17.

Tu, Jun. (2011). Finite Element Modeling and Analysis of the Masonry Wall Strengthe ned with Polymer Mortar. Journal of Civil Engineering and Management. 1 indexed citations

18.

Maantay, Juliana, Jun Tu, & Andrew Maroko. (2009). Loose-coupling an air dispersion model and a geographic information system (GIS) for studying air pollution and asthma in the Bronx, New York City. International Journal of Environmental Health Research. 19(1). 59–79. 27 indexed citations

19.

Tu, Jun. (2005). Study on the measurement of wheel′s profile with eddy current sensor.

20.

Tu, Jun. (2004). Research on non-contact automatic measuring system for wheelset profile.

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.

Explore authors with similar magnitude of impact