Xingqiu Li

3.4k total citations · 4 hit papers
38 papers, 2.8k citations indexed

About

Xingqiu Li is a scholar working on Control and Systems Engineering, Mechanical Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Xingqiu Li has authored 38 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Control and Systems Engineering, 20 papers in Mechanical Engineering and 9 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Xingqiu Li's work include Machine Fault Diagnosis Techniques (25 papers), Gear and Bearing Dynamics Analysis (17 papers) and Engineering Diagnostics and Reliability (7 papers). Xingqiu Li is often cited by papers focused on Machine Fault Diagnosis Techniques (25 papers), Gear and Bearing Dynamics Analysis (17 papers) and Engineering Diagnostics and Reliability (7 papers). Xingqiu Li collaborates with scholars based in China, Hong Kong and Singapore. Xingqiu Li's co-authors include Hongkai Jiang, Haidong Shao, Zhenghong Wu, Ke Zhao, Ruixin Wang, Shaowei Liu, Ying Lin, Maogui Niu, Shuaipeng Wu and Tianchen Liang and has published in prestigious journals such as Angewandte Chemie International Edition, International Journal of Hydrogen Energy and IEEE Access.

In The Last Decade

Xingqiu Li

37 papers receiving 2.7k 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.

A novel method for intelligent fault diagnosis of rolling bearings using ensemble deep auto-encoders

2017 390 citations Haidong Shao, Hongkai Jiang et al. Mechanical Systems and Signal Processing profile →
Intelligent fault diagnosis of rolling bearing using deep wavelet auto-encoder with extreme learning machine

2017 270 citations Haidong Shao, Hongkai Jiang et al. Knowledge-Based Systems profile →
An adaptive deep transfer learning method for bearing fault diagnosis

2019 239 citations Zhenghong Wu, Hongkai Jiang et al. Measurement profile →
Data synthesis using deep feature enhanced generative adversarial networks for rolling bearing imbalanced fault diagnosis

2021 180 citations Shaowei Liu, Hongkai Jiang et al. Mechanical Systems and Signal Processing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xingqiu Li China	25	2.3k	1.5k	780	436	233	38	2.8k
Pietro Borghesani Australia	29	1.7k 0.7×	1.6k 1.1×	614 0.8×	222 0.5×	189 0.8×	84	2.7k
Kun Yu China	25	1.6k 0.7×	1.1k 0.7×	546 0.7×	290 0.7×	163 0.7×	83	2.4k
Zhiliang Liu China	28	1.8k 0.8×	1.5k 1.0×	767 1.0×	332 0.8×	250 1.1×	108	2.9k
Yuyan Zhang China	12	1.7k 0.7×	946 0.6×	559 0.7×	356 0.8×	283 1.2×	30	2.3k
Biao Wang China	16	2.0k 0.9×	1.2k 0.8×	568 0.7×	265 0.6×	473 2.0×	43	2.9k
Zhenghong Wu China	24	1.2k 0.5×	847 0.6×	377 0.5×	352 0.8×	145 0.6×	45	1.8k
Tongyang Pan China	22	1.4k 0.6×	703 0.5×	370 0.5×	432 1.0×	209 0.9×	49	1.8k
Miguel Delgado-Prieto Spain	22	1.1k 0.5×	678 0.5×	373 0.5×	192 0.4×	486 2.1×	90	1.8k
Tianci Zhang China	21	1.5k 0.6×	793 0.5×	420 0.5×	499 1.1×	221 0.9×	45	2.0k

Countries citing papers authored by Xingqiu Li

Since Specialization

Citations

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

Fields of papers citing papers by Xingqiu Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xingqiu Li

This figure shows the co-authorship network connecting the top 25 collaborators of Xingqiu Li. A scholar is included among the top collaborators of Xingqiu Li 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 Xingqiu Li. Xingqiu Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Liu, Ya, Meng Zhang, Xitang Qian, et al.. (2025). Rapid Fabrication of Defective CuInP ₂ S ₆ Nanosheets for Efficient CO ₂ ‐to‐Formate Conversion over Wide Current Densities. Angewandte Chemie International Edition. 64(51). e202516041–e202516041. 2 indexed citations

Hou, Guoyu, Yicheng Li, Xingqiu Li, et al.. (2025). Histidine‐Based “Transfer Stations” at Carbon‐Immobilized Metal Particles Enable Rapid Hydrogen Transfer for Efficient Formic Acid Dehydrogenation. Angewandte Chemie. 137(26).

Li, Peng, et al.. (2024). Intelligent fault diagnosis of ultrasonic motors based on graph-regularized CNN-BiLSTM. Measurement Science and Technology. 35(6). 66111–66111. 7 indexed citations

Li, Xingqiu, et al.. (2024). Adaptive hysteresis compensation control of a macro-fiber composite bimorph by improved reinforcement learning. Journal of Intelligent Material Systems and Structures. 35(19). 1471–1482. 2 indexed citations

Liu, Yang, et al.. (2024). Synergy of Cu doping and SO42− adsorption in the self-optimized SO42−@Cu doped Co(OH)2 reconstructed from CuCo2S4 towards enhanced oxygen evolution reaction. International Journal of Hydrogen Energy. 68. 244–254. 1 indexed citations

Wang, Zhe, Zhiying Wu, Xingqiu Li, et al.. (2023). Attention-aware temporal–spatial graph neural network with multi-sensor information fusion for fault diagnosis. Knowledge-Based Systems. 278. 110891–110891. 64 indexed citations

Li, Xingqiu, et al.. (2023). A Convolutional Autoencoder Based Fault Detection Method for Metro Railway Turnout. Computer Modeling in Engineering & Sciences. 136(1). 471–485. 9 indexed citations

Liang, Chenglu, Jiali Li, Xingqiu Li, et al.. (2022). Electrochemical Activated Nitrogen‐doped Carbon as Highly Efficient Electrocatalysts for Hydrogen Evolution Reactions. ChemNanoMat. 8(7). 6 indexed citations

Li, Xingqiu, Han Liu, Li Huang, et al.. (2022). Bifunctional iron doped CuS catalysts towards highly efficient overall water electrolysis in the alkaline electrolyte. International Journal of Hydrogen Energy. 47(38). 16719–16728. 25 indexed citations

10.

Jiang, Hongkai, et al.. (2021). Data augmentation for rolling bearing fault diagnosis using an enhanced few-shot Wasserstein auto-encoder with meta-learning. Measurement Science and Technology. 32(8). 84007–84007. 39 indexed citations

11.

Liu, Shaowei, Hongkai Jiang, Zhenghong Wu, & Xingqiu Li. (2021). Data synthesis using deep feature enhanced generative adversarial networks for rolling bearing imbalanced fault diagnosis. Mechanical Systems and Signal Processing. 163. 108139–108139. 180 indexed citations breakdown →

12.

Zhao, Ke, Hongkai Jiang, Xingqiu Li, & Ruixin Wang. (2021). Ensemble adaptive convolutional neural networks with parameter transfer for rotating machinery fault diagnosis. International Journal of Machine Learning and Cybernetics. 12(5). 1483–1499. 18 indexed citations

13.

Li, Xingqiu, Hongkai Jiang, Min Xie, et al.. (2021). A reinforcement ensemble deep transfer learning network for rolling bearing fault diagnosis with Multi-source domains. Advanced Engineering Informatics. 51. 101480–101480. 106 indexed citations

14.

Liang, Chenglu, Xingqiu Li, Han Liu, et al.. (2021). Hierarchical Cu/Cu2O structure derived from hexagonal Cu9S5 nanocrystal with enhanced electrocatalytic ability for hydrogen evolution reaction. Journal of Alloys and Compounds. 883. 160816–160816. 18 indexed citations

15.

Liu, Yang, Xingqiu Li, Xian Li, et al.. (2020). Nitrogen-doped carbon quantum dots via a facile reflux assisted polymerization of N-Methyl-Pyrrolidone for hydrogen evolution reaction. Journal of Solid State Chemistry. 293. 121781–121781. 24 indexed citations

16.

Wei, Dongdong, Hongkai Jiang, Haidong Shao, Xingqiu Li, & Ying Lin. (2019). An optimal variational mode decomposition for rolling bearing fault feature extraction. Measurement Science and Technology. 30(5). 55004–55004. 45 indexed citations

17.

Xiong, Xiong, Hongkai Jiang, Xingqiu Li, & Maogui Niu. (2019). A Wasserstein gradient-penalty generative adversarial network with deep auto-encoder for bearing intelligent fault diagnosis. Measurement Science and Technology. 31(4). 45006–45006. 54 indexed citations

18.

Zhao, Ke, Hongkai Jiang, Xingqiu Li, & Ruixin Wang. (2019). An optimal deep sparse autoencoder with gated recurrent unit for rolling bearing fault diagnosis. Measurement Science and Technology. 31(1). 15005–15005. 45 indexed citations

19.

Wu, Zhenghong, Hongkai Jiang, Ke Zhao, & Xingqiu Li. (2019). An adaptive deep transfer learning method for bearing fault diagnosis. Measurement. 151. 107227–107227. 239 indexed citations breakdown →

20.

Shao, Haidong, Hongkai Jiang, Xingqiu Li, & Shuaipeng Wu. (2017). Intelligent fault diagnosis of rolling bearing using deep wavelet auto-encoder with extreme learning machine. Knowledge-Based Systems. 140. 1–14. 270 indexed citations breakdown →

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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