Ansi Zhang

1.5k total citations · 2 hit papers
38 papers, 1.1k citations indexed

About

Ansi Zhang is a scholar working on Control and Systems Engineering, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Ansi Zhang has authored 38 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Control and Systems Engineering, 15 papers in Artificial Intelligence and 11 papers in Mechanical Engineering. Recurrent topics in Ansi Zhang's work include Machine Fault Diagnosis Techniques (12 papers), Anomaly Detection Techniques and Applications (10 papers) and Fault Detection and Control Systems (6 papers). Ansi Zhang is often cited by papers focused on Machine Fault Diagnosis Techniques (12 papers), Anomaly Detection Techniques and Applications (10 papers) and Fault Detection and Control Systems (6 papers). Ansi Zhang collaborates with scholars based in China, United States and Singapore. Ansi Zhang's co-authors include Shaobo Li, Jianjun Hu, Yuxin Cui, Chuanjiang Li, Wanli Yang, Rongzhi Dong, Qiang He, Zhonghao Liu, Guanci Yang and Honglei Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Hydrogen Energy.

In The Last Decade

Ansi Zhang

36 papers receiving 1.1k citations

Hit Papers

align trajectories

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.

Limited Data Rolling Bearing Fault Diagnosis With Few-Shot Learning

2019 314 citations Ansi Zhang, Shaobo Li et al. IEEE Access profile →
Meta-learning for few-shot bearing fault diagnosis under complex working conditions

2021 205 citations Chuanjiang Li, Shaobo Li et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ansi Zhang China	15	701	390	252	211	88	38	1.1k
Funa Zhou China	13	643 0.9×	310 0.8×	268 1.1×	189 0.9×	110 1.3×	64	1.0k
Shulin Liu China	20	730 1.0×	475 1.2×	198 0.8×	271 1.3×	47 0.5×	87	1.2k
Chuancang Ding China	21	1.1k 1.5×	575 1.5×	238 0.9×	279 1.3×	67 0.8×	67	1.2k
Wenguang Yang China	11	994 1.4×	639 1.6×	254 1.0×	338 1.6×	80 0.9×	22	1.3k
Jingyao Wu China	11	867 1.2×	435 1.1×	318 1.3×	208 1.0×	121 1.4×	26	1.2k
Xiaohan Chen China	14	783 1.1×	442 1.1×	237 0.9×	255 1.2×	63 0.7×	49	1.3k
Jianping Xuan China	21	894 1.3×	814 2.1×	214 0.8×	275 1.3×	182 2.1×	66	1.4k
Yifan Li China	24	997 1.4×	906 2.3×	112 0.4×	355 1.7×	70 0.8×	101	1.6k
L.B. Jack United Kingdom	11	587 0.8×	341 0.9×	265 1.1×	135 0.6×	35 0.4×	15	920
Jialong He China	20	218 0.3×	256 0.7×	261 1.0×	152 0.7×	77 0.9×	89	1.0k

Countries citing papers authored by Ansi Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Ansi Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ansi Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Ansi Zhang. A scholar is included among the top collaborators of Ansi Zhang 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 Ansi Zhang. Ansi Zhang 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

Li, Shaobo, et al.. (2025). UAV fault diagnosis based on collaborative sharing of generic and task-oriented features. Expert Systems with Applications. 296. 128940–128940. 2 indexed citations

Li, Shaobo, et al.. (2025). Multi-source ensemble transfer learning-based unmanned aerial vehicle flight data anomaly detection with limited data: From simulation to reality. Advanced Engineering Informatics. 65. 103255–103255.

Wang, Yan, et al.. (2024). Deeply Integrated Autoencoder-Based Anomaly Detection and Critical Parameter Identification for Unmanned Aerial Vehicle Actuators. IEEE Sensors Journal. 24(15). 24905–24920. 5 indexed citations

Feng, Yixiong, et al.. (2024). Uncertainty‐aware nuclear power turbine vibration fault diagnosis method integrating machine learning and heuristic algorithm. SHILAP Revista de lepidopterología. 6(3). 3 indexed citations

Lou, Shanhe, et al.. (2024). A cognitive computing approach for product configuration design based on associative rule mining and deep reinforcement learning. International Journal of Production Research. 1–24. 4 indexed citations

Li, Shaobo, et al.. (2024). FW-UAV fault diagnosis based on knowledge complementary network under small sample. Mechanical Systems and Signal Processing. 215. 111418–111418. 9 indexed citations

Li, Shaobo, et al.. (2023). Data-driven unsupervised anomaly detection and recovery of unmanned aerial vehicle flight data based on spatiotemporal correlation. Science China Technological Sciences. 66(5). 1304–1316. 19 indexed citations

Li, Shaobo, et al.. (2023). An Intelligent Fault Detection Framework for FW‐UAV Based on Hybrid Deep Domain Adaptation Networks and the Hampel Filter. International Journal of Intelligent Systems. 2023(1). 13 indexed citations

Li, Shaobo, et al.. (2023). A TL_FLAT Model for Chinese Text Datasets of UAV Power Systems: Optimization and Performance. International Journal of Intelligent Systems. 2023(1). 2 indexed citations

10.

Li, Shaobo, et al.. (2023). UAV Flight Data Anomaly Detection Based on Parameter Selection and Multiple Regression. 9. 1–6. 1 indexed citations

11.

Li, Shaobo, et al.. (2023). A survey of unmanned aerial vehicle flight data anomaly detection: Technologies, applications, and future directions. Science China Technological Sciences. 66(4). 901–919. 24 indexed citations

12.

Zuo, Ying, et al.. (2023). Digital twin-enabled adaptive scheduling strategy based on deep reinforcement learning. Science China Technological Sciences. 66(7). 1937–1951. 7 indexed citations

13.

Li, Shaobo, et al.. (2023). A Multi-Level FW-UAV Fault Diagnosis Solution Based on Multi-Task Learning Under Small Samples. 1–6.

14.

Li, Chuanjiang, et al.. (2023). A novel multiscale hybrid neural network for intelligent fine-grained fault diagnosis. Networks and Heterogeneous Media. 18(1). 444–462. 1 indexed citations

15.

Li, Shaobo, Jing Yang, Qiang Bai, et al.. (2021). Intelligent Optimization Algorithm‐Based Path Planning for a Mobile Robot. Computational Intelligence and Neuroscience. 2021(1). 8025730–8025730. 28 indexed citations

16.

Wei, Jia, Guang Fu, Wenming Yang, et al.. (2021). Investigation on hydrogen-fueled combustion characteristics and thermal performance in a micro heat-recirculation combustor inserted with block. International Journal of Hydrogen Energy. 46(73). 36515–36527. 32 indexed citations

17.

Jin, Jing, Zhonghao Liu, Alireza Nasiri, et al.. (2021). Deep learning pan‐specific model for interpretable MHC‐I peptide binding prediction with improved attention mechanism. Proteins Structure Function and Bioinformatics. 89(7). 866–883. 21 indexed citations

18.

Li, Shaobo, et al.. (2020). A Novel Method of Bearing Fault Diagnosis in Time-Frequency Graphs Using InceptionResnet and Deformable Convolution Networks. IEEE Access. 8. 92743–92753. 20 indexed citations

19.

Liu, Zhonghao, Yuxin Cui, Zheng Xiong, et al.. (2019). DeepSeqPan, a novel deep convolutional neural network model for pan-specific class I HLA-peptide binding affinity prediction. Scientific Reports. 9(1). 794–794. 44 indexed citations

20.

Zhang, Ansi, Honglei Wang, Shaobo Li, et al.. (2018). Transfer Learning with Deep Recurrent Neural Networks for Remaining Useful Life Estimation. Applied Sciences. 8(12). 2416–2416. 136 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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