Xianming Lang

789 total citations
43 papers, 639 citations indexed

About

Xianming Lang is a scholar working on Mechanical Engineering, Civil and Structural Engineering and Ocean Engineering. According to data from OpenAlex, Xianming Lang has authored 43 papers receiving a total of 639 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Mechanical Engineering, 22 papers in Civil and Structural Engineering and 9 papers in Ocean Engineering. Recurrent topics in Xianming Lang's work include Water Systems and Optimization (20 papers), Non-Destructive Testing Techniques (19 papers) and Geophysical Methods and Applications (7 papers). Xianming Lang is often cited by papers focused on Water Systems and Optimization (20 papers), Non-Destructive Testing Techniques (19 papers) and Geophysical Methods and Applications (7 papers). Xianming Lang collaborates with scholars based in China, United States and Macao. Xianming Lang's co-authors include Jingwen Chen, Xiyun Cai, Xianliang Qiao, Yu Zhang, Xuehua Li, Yan Li, Ping Li, Jiangtao Cao, Ping Li and Shuaiyong Li and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Scientific Reports and Environmental Pollution.

In The Last Decade

Xianming Lang

33 papers receiving 614 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xianming Lang China 13 276 171 139 107 70 43 639
Yue Pan China 11 87 0.3× 98 0.6× 90 0.6× 52 0.5× 112 1.6× 28 630
Hossein Rezaei Iran 9 115 0.4× 36 0.2× 57 0.4× 85 0.8× 29 0.4× 22 464
Faegheh Moazeni United States 13 107 0.4× 138 0.8× 54 0.4× 51 0.5× 25 0.4× 53 783
Juan Chen China 13 148 0.5× 138 0.8× 41 0.3× 28 0.3× 20 0.3× 76 759
Qiao Li China 16 157 0.6× 115 0.7× 84 0.6× 45 0.4× 8 0.1× 50 978
Xiaorui Zhang China 18 411 1.5× 87 0.5× 44 0.3× 32 0.3× 42 0.6× 71 849
Zongyang Liu China 16 59 0.2× 183 1.1× 51 0.4× 23 0.2× 72 1.0× 60 756
Guannan Li China 17 421 1.5× 130 0.8× 35 0.3× 40 0.4× 35 0.5× 43 730
Lili Yi China 13 40 0.1× 132 0.8× 64 0.5× 60 0.6× 14 0.2× 51 599
Seyed Taghi Omid Naeeni Iran 13 118 0.4× 99 0.6× 27 0.2× 102 1.0× 19 0.3× 42 504

Countries citing papers authored by Xianming Lang

Since Specialization
Citations

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

Fields of papers citing papers by Xianming Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xianming Lang

This figure shows the co-authorship network connecting the top 25 collaborators of Xianming Lang. A scholar is included among the top collaborators of Xianming Lang 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 Xianming Lang. Xianming Lang 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.
Sun, Yali, Xianming Lang, Qiang Liu, & Jiu‐Yu Ji. (2025). CMTNet: a transformer-based network for LiDAR-camera cross-modal calibration. Measurement Science and Technology. 36(8). 85117–85117.
2.
Guo, Xiwang, Jiacun Wang, Shujin Qin, et al.. (2025). LLM-Assisted Reinforcement Learning for U-Shaped and Circular Hybrid Disassembly Line Balancing in IoT-Enabled Smart Manufacturing. Electronics. 14(11). 2290–2290. 1 indexed citations
3.
Lang, Xianming, et al.. (2025). A small leakage diagnosis method for natural gas pipelines based on time–frequency self-contrastive learning. Measurement Science and Technology. 36(9). 96213–96213. 1 indexed citations
4.
Li, Shuaiyong, et al.. (2024). Multipoint leak localization for pipelines via acoustic wave amplitude ratio. Process Safety and Environmental Protection. 186. 60–75. 9 indexed citations
5.
Lang, Xianming & Ze Wang. (2024). A Multisensor Feature Fusion Attention Convolutional Neural Network for Complex Magnetic Leakage. IEEE Transactions on Instrumentation and Measurement. 73. 1–9. 14 indexed citations
6.
Lang, Xianming, et al.. (2024). Leakage detection of an acoustic emission pipeline based on an improved transformer network. Engineering Research Express. 6(2). 25216–25216.
7.
Guo, Xiwang, Peng Ji, Jiacun Wang, et al.. (2024). Large Language Model-Assisted Reinforcement Learning for Hybrid Disassembly Line Problem. Mathematics. 12(24). 4000–4000. 1 indexed citations
8.
Lang, Xianming, et al.. (2024). Pipeline Multipoint Leakage Detection Method Based on KKL-MSCNN. IEEE Sensors Journal. 24(7). 11438–11449. 24 indexed citations
9.
Liu, Mingyang, et al.. (2023). Improved machine learning leak fault recognition for low-pressure natural gas valve. Process Safety and Environmental Protection. 178. 947–958. 7 indexed citations
10.
Lang, Xianming, et al.. (2023). Leak Localization Method of Jet Fuel Pipeline Based on Second-Generation Wavelet Transform and Short-Time Energy Time Delay Estimation. IEEE Sensors Journal. 23(3). 2823–2832. 12 indexed citations
11.
Lang, Xianming, et al.. (2023). An Anchor-Free Pipeline MFL Image Detection Method. IEEE Transactions on Instrumentation and Measurement. 72. 1–8. 3 indexed citations
12.
Lang, Xianming, et al.. (2023). A Fast Magnetic Flux Leakage Small Defect Detection Network. IEEE Transactions on Industrial Informatics. 19(12). 11941–11948. 17 indexed citations
13.
Lang, Xianming, et al.. (2023). Leak detection method for the jet fuel pipeline based on IUPEMD and DTWSVM. Measurement Science and Technology. 34(5). 55103–55103. 5 indexed citations
14.
Lang, Xianming, et al.. (2022). An analysis of detectable leakage rate for oil pipelines based on acoustic wave method. Measurement Science and Technology. 33(12). 125108–125108. 13 indexed citations
15.
Lang, Xianming, et al.. (2022). MFL Image Recognition Method of Pipeline Corrosion Defects Based on Multilayer Feature Fusion Multiscale GhostNet. IEEE Transactions on Instrumentation and Measurement. 71. 1–8. 27 indexed citations
16.
Lang, Xianming, et al.. (2021). Leak Localization of Gas Pipeline Based on the Combination of EEMD and Cross-Spectrum Analysis. IEEE Transactions on Instrumentation and Measurement. 71. 1–9. 46 indexed citations
17.
Lang, Xianming, et al.. (2020). Localization Method of Multiple Leaks Based on Time-Frequency Analysis and Improved Differential Evolution. IEEE Sensors Journal. 20(23). 14383–14390. 26 indexed citations
18.
Lang, Xianming, et al.. (2018). A Small Leak Localization Method for Oil Pipelines Based on Information Fusion. IEEE Sensors Journal. 18(15). 6115–6122. 50 indexed citations
19.
Lang, Xianming, et al.. (2018). Pipeline Leak Aperture Recognition Based on Wavelet Packet Analysis and a Deep Belief Network with ICR. Wireless Communications and Mobile Computing. 2018(1). 12 indexed citations
20.
Lang, Xianming, et al.. (2017). Leak Location of Pipeline with Multibranch Based on a Cyber-Physical System. Information. 8(4). 113–113. 11 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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