Zheng Liu

17.4k total citations · 10 hit papers
603 papers, 12.1k citations indexed

About

Zheng Liu is a scholar working on Mechanical Engineering, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, Zheng Liu has authored 603 papers receiving a total of 12.1k indexed citations (citations by other indexed papers that have themselves been cited), including 123 papers in Mechanical Engineering, 107 papers in Computer Vision and Pattern Recognition and 103 papers in Aerospace Engineering. Recurrent topics in Zheng Liu's work include Machine Fault Diagnosis Techniques (53 papers), Non-Destructive Testing Techniques (51 papers) and Advanced Image Fusion Techniques (34 papers). Zheng Liu is often cited by papers focused on Machine Fault Diagnosis Techniques (53 papers), Non-Destructive Testing Techniques (51 papers) and Advanced Image Fusion Techniques (34 papers). Zheng Liu collaborates with scholars based in China, Canada and United States. Zheng Liu's co-authors include Ke Feng, Yehuda Kleiner, Gaurav Bhatnagar, Q. M. Jonathan Wu, Yongchao Zhang, Xiaoli Zhao, Xiaomin Yang, Rakiba Rayhana, Gwanggil Jeon and Minping Jia and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Zheng Liu

542 papers receiving 11.7k citations

Hit Papers

Feedback Network for Image Super-Resolution 2012 2026 2016 2021 2019 2022 2012 2013 2023 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Feedback Network for Image Super-Resolution
    2019 597 citations Zheng Liu et al. profile →
  2. Digital twin-driven intelligent assessment of gear surface degradation
    2022 406 citations Ke Feng, Jinchen Ji et al. profile →
  3. State of the art review of inspection technologies for condition assessment of water pipes
    2012 358 citations Zheng Liu et al. profile →
  4. Directive Contrast Based Multimodal Medical Image Fusion in NSCT Domain
    2013 356 citations Zheng Liu et al. profile →
  5. Digital twin-driven partial domain adaptation network for intelligent fault diagnosis of rolling bearing
    2023 236 citations Yongchao Zhang, Jinchen Ji et al. Reliability Engineering & System Safety profile →
  6. The role of data fusion in predictive maintenance using digital twin
    2018 222 citations Zheng Liu et al. profile →
  7. Intelligent Fault Diagnosis of Gearbox Under Variable Working Conditions With Adaptive Intraclass and Interclass Convolutional Neural Network
    2022 167 citations Xiaoli Zhao, Jianyong Yao et al. profile →
  8. CFCNN: A novel convolutional fusion framework for collaborative fault identification of rotating machinery
    2023 136 citations Ke Feng, Xiaoan Yan et al. Information Fusion profile →
  9. A Systematic Review on Imbalanced Learning Methods in Intelligent Fault Diagnosis
    2023 129 citations Ke Feng, Zheng Liu et al. IEEE Transactions on Instrumentation and Measurement profile →
  10. Universal source-free domain adaptation method for cross-domain fault diagnosis of machines
    2023 109 citations Yongchao Zhang, Zhaohui Ren et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zheng Liu China 54 2.8k 2.8k 2.3k 2.1k 1.4k 603 12.1k
Dan Zhang China 55 3.4k 1.2× 1.3k 0.5× 2.2k 0.9× 322 0.2× 1.0k 0.7× 881 13.5k
Wu Deng China 47 2.7k 1.0× 1.1k 0.4× 1.5k 0.6× 268 0.1× 549 0.4× 153 8.8k
Simon X. Yang Canada 53 3.5k 1.3× 4.3k 1.5× 1.1k 0.5× 339 0.2× 2.1k 1.4× 579 10.9k
Seyed Mohammad Mirjalili Iran 18 3.9k 1.4× 2.6k 0.9× 1.4k 0.6× 471 0.2× 1.1k 0.8× 37 22.1k
Qinghua Hu China 68 1.2k 0.4× 9.3k 3.3× 815 0.4× 2.1k 1.0× 1.7k 1.2× 431 23.1k
Andrew Lewis Australia 25 4.9k 1.7× 3.6k 1.3× 1.7k 0.7× 612 0.3× 1.6k 1.1× 114 28.4k
Riccardo Poli United Kingdom 38 3.5k 1.3× 2.3k 0.8× 1.5k 0.6× 358 0.2× 1.3k 0.9× 252 23.3k
Tim Blackwell United Kingdom 19 3.2k 1.2× 1.7k 0.6× 1.3k 0.6× 280 0.1× 1.1k 0.8× 52 16.7k
Jie Chen China 60 5.0k 1.8× 2.4k 0.9× 991 0.4× 269 0.1× 2.1k 1.5× 835 15.1k
Martin Hagan United States 22 2.3k 0.8× 1.1k 0.4× 1.7k 0.7× 227 0.1× 651 0.5× 82 13.5k

Countries citing papers authored by Zheng Liu

Since Specialization
Citations

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

Fields of papers citing papers by Zheng Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zheng Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Zheng Liu. A scholar is included among the top collaborators of Zheng 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 Zheng Liu. Zheng 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.
Bai, Ling, et al.. (2024). Personalized federated learning for buildings energy consumption forecasting. Energy and Buildings. 323. 114762–114762. 10 indexed citations
2.
Liu, Zheng, et al.. (2024). On the pricing of vulnerable Parisian options. Finance research letters. 68. 105995–105995. 1 indexed citations
3.
Bin, Junchi, et al.. (2024). TrajBERT - DSSM: Deep bidirectional transformers for vessel trajectory understanding and destination prediction. Ocean Engineering. 297. 117147–117147. 5 indexed citations
4.
Wang, Teng, et al.. (2024). Pipeline condition monitoring towards digital twin system: A case study. Journal of Manufacturing Systems. 73. 256–274. 30 indexed citations
5.
Zhang, Yongchao, Jinchen Ji, Zhaohui Ren, et al.. (2023). Digital twin-driven partial domain adaptation network for intelligent fault diagnosis of rolling bearing. Reliability Engineering & System Safety. 234. 109186–109186. 236 indexed citations breakdown →
6.
Liu, Zheng, et al.. (2023). Application of Vision Technology and Artificial Intelligence in Smart Farming. Agriculture. 13(11). 2106–2106. 1 indexed citations
7.
Li, Yongbo, et al.. (2023). Non-contact diagnosis for gearbox based on the fusion of multi-sensor heterogeneous data. Information Fusion. 94. 112–125. 64 indexed citations
8.
Liu, Zheng, et al.. (2023). Soil depth mapping and its linkage to gully erosion rate prediction in granite areas of southern China. Soil and Tillage Research. 231. 105711–105711. 6 indexed citations
9.
Liu, Jialin, et al.. (2023). Managing traffic evacuation with multiclass connected and autonomous vehicles. Physica A Statistical Mechanics and its Applications. 625. 128985–128985. 4 indexed citations
10.
Cao, Yudong, Minping Jia, Xiaoli Zhao, Xiaoan Yan, & Zheng Liu. (2023). Semi-supervised machinery health assessment framework via temporal broad learning system embedding manifold regularization with unlabeled data. Expert Systems with Applications. 222. 119824–119824. 7 indexed citations
11.
Ge, Jian, Hong Yu, Wang Luo, et al.. (2023). A Novel Coil-Based Overhauser Vector Magnetometer for the Automatic Measurement of Absolute Geomagnetic Total Field and Directions. IEEE/ASME Transactions on Mechatronics. 29(3). 1634–1646. 1 indexed citations
12.
Liu, Huan, et al.. (2023). Magnetic Anomaly Detection Based on Energy-Concentrated Discrete Cosine Wavelet Transform. IEEE Transactions on Instrumentation and Measurement. 72. 1–10. 17 indexed citations
13.
Zhao, Xiaoli, et al.. (2023). Adaptive Multiscale Convolution Manifold Embedding Networks for Intelligent Fault Diagnosis of Servo Motor-Cylindrical Rolling Bearing Under Variable Working Conditions. IEEE/ASME Transactions on Mechatronics. 29(3). 2230–2240. 59 indexed citations
14.
Liu, Zheng, et al.. (2023). Research on Supply Chain Optimization Considering Consumer Subsidy Mechanism in the Context of Carbon Neutrality. Energies. 16(7). 3147–3147. 3 indexed citations
15.
Ge, Jian, et al.. (2022). Cooperative Suppression of Negative Effects Associated With Multicollinearity and Abnormal Data for Aeromagnetic Compensation. IEEE Transactions on Instrumentation and Measurement. 71. 1–9. 7 indexed citations
16.
Lei, Zihao, Hongming Chen, Guangrui Wen, et al.. (2022). A Synchronous Holo-Balancing Method for Flexible Rotors Based on the Modified Initial Phase Vector. Information Fusion. 90. 95–110. 7 indexed citations
17.
John, Vijay, et al.. (2018). Estimation of Steering Angle and Collision Avoidance for Automated Driving Using Deep Mixture of Experts. IEEE Transactions on Intelligent Vehicles. 3(4). 571–584. 10 indexed citations
18.
Liu, Zheng & Jianjun Wang. (2015). Analysis of transient vibration of single-thick-disk rotor crossing two orders of critical speeds. Beijing Hangkong Hangtian Daxue xuebao. 41(11). 2144. 1 indexed citations
19.
Yang, Le, et al.. (2014). Compressive detection of stochastic signals with the measurement matrix not necessarily orthonormal. International Conference on Information Fusion. 1–6. 2 indexed citations
20.
Wang, Liying & Zheng Liu. (2012). RVM with wavelet kernel combined with PSO for short-term load forecasting in electric power systems. PRZEGLĄD ELEKTROTECHNICZNY. 146–149. 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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