Jianwei Liu

439 total citations
21 papers, 321 citations indexed

About

Jianwei Liu is a scholar working on Civil and Structural Engineering, Mechanical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jianwei Liu has authored 21 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Civil and Structural Engineering, 9 papers in Mechanical Engineering and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jianwei Liu's work include Infrastructure Maintenance and Monitoring (9 papers), Railway Engineering and Dynamics (6 papers) and Industrial Vision Systems and Defect Detection (5 papers). Jianwei Liu is often cited by papers focused on Infrastructure Maintenance and Monitoring (9 papers), Railway Engineering and Dynamics (6 papers) and Industrial Vision Systems and Defect Detection (5 papers). Jianwei Liu collaborates with scholars based in China, United States and India. Jianwei Liu's co-authors include Hongli Liu, Ziji Ma, Chao Wang, Yun Teng, Chinmay Chakraborty, Keping Yu, Xun Shao, Yuan Qiu, Wu-Jian Long and Jingjie Wei and has published in prestigious journals such as Construction and Building Materials, Chemical Engineering Science and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Jianwei Liu

19 papers receiving 318 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jianwei Liu China 9 159 134 126 88 58 21 321
Ye Han China 7 119 0.7× 112 0.8× 158 1.3× 102 1.2× 42 0.7× 10 321
Yongzhi Min China 8 112 0.7× 71 0.5× 96 0.8× 46 0.5× 38 0.7× 35 269
Linhao Shao China 7 110 0.7× 264 2.0× 88 0.7× 142 1.6× 32 0.6× 8 359
Chunhua Yang China 4 97 0.6× 304 2.3× 118 0.9× 163 1.9× 22 0.4× 6 403
Jinrui Gan China 7 244 1.5× 311 2.3× 199 1.6× 151 1.7× 88 1.5× 10 499
Ying Tian China 8 81 0.5× 334 2.5× 137 1.1× 175 2.0× 35 0.6× 29 399
Xingjie Li China 4 41 0.3× 187 1.4× 108 0.9× 125 1.4× 22 0.4× 13 287
Zhonghe Ren China 4 44 0.3× 249 1.9× 97 0.8× 134 1.5× 35 0.6× 6 398
Doo-chul Choi South Korea 13 82 0.5× 305 2.3× 100 0.8× 145 1.6× 38 0.7× 19 374

Countries citing papers authored by Jianwei Liu

Since Specialization
Citations

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

Fields of papers citing papers by Jianwei Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianwei Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Jianwei Liu. A scholar is included among the top collaborators of Jianwei Liu 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 Jianwei Liu. Jianwei Liu 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.
Liu, Jianwei, et al.. (2025). T-LSTM-VAE: A random missing data imputation model for multivariate time series. Journal of the Franklin Institute. 363(1). 108231–108231.
2.
Liu, Hongli, et al.. (2025). DAEAR-DETR: DETR With Dual-Attention and Echo Accumulative Residual for Bus Passenger Detection. IEEE Transactions on Intelligent Transportation Systems. 26(7). 10067–10079.
3.
Wei, Jingjie, et al.. (2024). Effect of organic phosphonate on fresh properties of alkali-activated slag composites under different systems: Na2SO4, Na2SiO3, Na2CO3. Construction and Building Materials. 443. 137698–137698. 4 indexed citations
4.
Xu, Xiubin, et al.. (2024). Underwater antiadhesion hydrogel coatings with spontaneous segment orientation. Chemical Engineering Science. 301. 120700–120700. 4 indexed citations
5.
Liu, Jianwei, et al.. (2024). Railway Track Multicomponent Segmentation Based on Residual Contextual Transformer. IEEE Sensors Journal. 24(14). 22575–22587. 1 indexed citations
6.
Liu, Hongli, et al.. (2024). Region and Edge-Aware Network for Rail Surface Defect Segmentation. IEEE Transactions on Instrumentation and Measurement. 73. 1–13. 2 indexed citations
7.
Wei, Jingjie, Jianwei Liu, Kamal H. Khayat, & Wu-Jian Long. (2023). Synergistic Effect of HEDP.4Na and Different Induced Pouring Angles on Mechanical Properties of Fiber-Reinforced Alkali-Activated Slag Composites. Fibers. 11(3). 23–23. 7 indexed citations
8.
Liu, Jianwei, et al.. (2023). Fast Detection of Railway Fastener Using a New Lightweight Network Op-YOLOv4-Tiny. IEEE Transactions on Intelligent Transportation Systems. 25(1). 133–143. 9 indexed citations
9.
Liu, Jianwei, et al.. (2023). Classification of EEG signals based on CNN-Transformer model. 2095–2099. 2 indexed citations
10.
Ma, Ziji, et al.. (2022). Shadow Extraction Method Based on Multi-Information Fusion and Discrete Wavelet Transform. IEEE Transactions on Instrumentation and Measurement. 71. 1–15. 9 indexed citations
11.
Liu, Hongli, et al.. (2021). Detection for Rail Surface Defects via Partitioned Edge Feature. IEEE Transactions on Intelligent Transportation Systems. 23(6). 5806–5822. 75 indexed citations
12.
Liu, Jianwei, et al.. (2021). Four Discriminator Cycle-Consistent Adversarial Network for Improving Railway Defective Fastener Inspection. IEEE Transactions on Intelligent Transportation Systems. 23(8). 10636–10645. 27 indexed citations
13.
Liu, Jianwei, et al.. (2021). A hierarchical learning approach for railway fastener detection using imbalanced samples. Measurement. 186. 110240–110240. 19 indexed citations
14.
Teng, Yun, et al.. (2021). A Neural Network Based Data Imputation Model for Missing Data of Rail Corrugation Measurement. 2021 IEEE 5th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC). 1594–1601. 1 indexed citations
15.
Ma, Ziji, et al.. (2021). Attention Network for Rail Surface Defect Detection via Consistency of Intersection-over-Union(IoU)-Guided Center-Point Estimation. IEEE Transactions on Industrial Informatics. 18(3). 1694–1705. 79 indexed citations
16.
Teng, Yun, et al.. (2021). A Data Splicing Method for Measuring Rail Corrugation Under Pitching Vibration. IEEE Sensors Journal. 21(15). 16709–16720. 4 indexed citations
17.
Ma, Ziji, et al.. (2021). A phase unwrapping method suitable for high frequency fringe based on edge feature. Measurement. 185. 109938–109938. 15 indexed citations
18.
Liu, Jianwei, et al.. (2021). A Fastener Inspection Method Based on Defective Sample Generation and Deep Convolutional Neural Network. IEEE Sensors Journal. 21(10). 12179–12188. 27 indexed citations
19.
Liu, Jianwei, Hongli Liu, Chinmay Chakraborty, et al.. (2021). Cascade Learning Embedded Vision Inspection of Rail Fastener by Using a Fault Detection IoT Vehicle. IEEE Internet of Things Journal. 10(4). 3006–3017. 29 indexed citations
20.
Liu, Jianwei, et al.. (2020). Innovative and optimized design of automatic adjustment system for beaded rope of new diamond wire sawing machine. IOP Conference Series Materials Science and Engineering. 892(1). 12078–12078. 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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