Liujie Jing

866 total citations
22 papers, 666 citations indexed

About

Liujie Jing is a scholar working on Civil and Structural Engineering, Ocean Engineering and Mechanics of Materials. According to data from OpenAlex, Liujie Jing has authored 22 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Civil and Structural Engineering, 16 papers in Ocean Engineering and 11 papers in Mechanics of Materials. Recurrent topics in Liujie Jing's work include Tunneling and Rock Mechanics (18 papers), Drilling and Well Engineering (16 papers) and Rock Mechanics and Modeling (10 papers). Liujie Jing is often cited by papers focused on Tunneling and Rock Mechanics (18 papers), Drilling and Well Engineering (16 papers) and Rock Mechanics and Modeling (10 papers). Liujie Jing collaborates with scholars based in China, Hong Kong and United States. Liujie Jing's co-authors include Jianbin Li, Zuyu Chen, Yunpei Zhang, Yang Chen, Xu Li, Na Zhang, Wenkun Yang, Xingxin Peng, Shanyong Wang and Lipeng Liu and has published in prestigious journals such as Canadian Geotechnical Journal, Tunnelling and Underground Space Technology and Science and Technology of Welding & Joining.

In The Last Decade

Liujie Jing

21 papers receiving 641 citations

Peers

Liujie Jing
Hoda Azari United States
Matias Waller Finland
Vafa Soltangharaei United States
Rui Xiao China
Ruirui Wang China
Biao Zhou China
Ruilang Cao China
R.M. Göktan Türkiye
Hoda Azari United States
Liujie Jing
Citations per year, relative to Liujie Jing Liujie Jing (= 1×) peers Hoda Azari

Countries citing papers authored by Liujie Jing

Since Specialization
Citations

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

Fields of papers citing papers by Liujie Jing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liujie Jing

This figure shows the co-authorship network connecting the top 25 collaborators of Liujie Jing. A scholar is included among the top collaborators of Liujie Jing 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 Liujie Jing. Liujie Jing 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, Yakun, Guofang Gong, Huayong Yang, Jianbin Li, & Liujie Jing. (2024). From tunnel boring machine to tunnel boring robot: perspectives on intelligent shield machine and its smart operation. Journal of Zhejiang University. Science A. 25(5). 357–381. 4 indexed citations
2.
Li, Haibo, et al.. (2024). TBM破岩关键参数跨工程转换关系. Earth Science-Journal of China University of Geosciences. 49(5). 1722–1722.
3.
4.
Zhang, Qinglong, et al.. (2023). Intelligent tunnelling robot system for deep-buried long tunnels. Frontiers in Earth Science. 11. 2 indexed citations
5.
Chen, Zuyu, et al.. (2023). Cross-project prediction for rock mass using shuffled TBM big dataset and knowledge-based machine learning methods. Science China Technological Sciences. 66(3). 751–770. 25 indexed citations
6.
Li, Xu, et al.. (2023). Cross-project utilisation of tunnel boring machine (TBM) construction data: a case study using big data from Yin-Song diversion project in China. Georisk Assessment and Management of Risk for Engineered Systems and Geohazards. 17(1). 127–147. 23 indexed citations
7.
Li, Jianbin, Zuyu Chen, Xu Li, et al.. (2023). Feedback on a shared big dataset for intelligent TBM Part II: Application and forward look. Underground Space. 11. 26–45. 43 indexed citations
8.
Li, Jianbin, Zuyu Chen, Xu Li, et al.. (2023). Feedback on a shared big dataset for intelligent TBM Part I: Feature extraction and machine learning methods. Underground Space. 11. 1–25. 60 indexed citations
9.
Li, Xu, Yujie Wang, Huan Liu, et al.. (2023). A data driven real-time perception method of rock condition in TBM construction. Canadian Geotechnical Journal. 61(5). 1018–1034. 20 indexed citations
10.
Yang, Wenkun, et al.. (2022). Significance and methodology: Preprocessing the big data for machine learning on TBM performance. Underground Space. 7(4). 680–701. 62 indexed citations
11.
Chen, Zuyu, Shanyong Wang, Yufei Zhao, et al.. (2021). Tunnel boring machines (TBM) performance prediction: A case study using big data and deep learning. Tunnelling and Underground Space Technology. 110. 103636–103636. 97 indexed citations
12.
Jing, Liujie, et al.. (2020). A TBM advance rate prediction method considering the effects of operating factors. Tunnelling and Underground Space Technology. 107. 103620–103620. 46 indexed citations
13.
Chen, Zuyu, Yunpei Zhang, Jianbin Li, Xu Li, & Liujie Jing. (2020). Diagnosing tunnel collapse sections based on TBM tunneling big data and deep learning: A case study on the Yinsong Project, China. Tunnelling and Underground Space Technology. 108. 103700–103700. 81 indexed citations
14.
Wang, Ruirui, Xu Guo, Jianbin Li, et al.. (2020). A mechanical method for predicting TBM penetration rates. Arabian Journal of Geosciences. 13(9). 11 indexed citations
15.
Wang, Ruirui, et al.. (2020). A TBM Cutter Life Prediction Method Based on Rock Mass Classification. KSCE Journal of Civil Engineering. 24(9). 2794–2807. 12 indexed citations
16.
Zhang, Na, Jianbin Li, Liujie Jing, Chen Yang, & Shuai Chen. (2019). Prediction method of rockmass parameters based on tunnelling process of tunnel boring machine. Journal of ZheJiang University (Engineering Science). 53(10). 1977–1985. 6 indexed citations
17.
Li, Jianbin, et al.. (2019). Application and outlook of information and intelligence technology for safe and efficient TBM construction. Tunnelling and Underground Space Technology. 93. 103097–103097. 59 indexed citations
18.
Fu, Ruidong, et al.. (2015). Effect of post-weld heat treatment on microstructures and properties of friction stir welded joint of 32Mn–7Cr–1Mo–0·3N steel. Science and Technology of Welding & Joining. 20(3). 229–235. 14 indexed citations
19.
Fu, Ruidong, et al.. (2014). Microstructures and mechanical properties of friction stir welded joints of Zr–Ti alloy. Science and Technology of Welding & Joining. 19(7). 588–594. 10 indexed citations
20.
Rutqvist, Jonny, Liujie Jing, Akira Kobayashi, et al.. (2006). Multiple-code benchmark simulation study of coupled THMC processesin the excavation disturbed zone associated with geological nuclear wasterepositories. University of North Texas Digital Library (University of North Texas). 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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