Xiang Li

19.1k total citations · 18 hit papers
423 papers, 13.6k citations indexed

About

Xiang Li is a scholar working on Control and Systems Engineering, Mechanical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Xiang Li has authored 423 papers receiving a total of 13.6k indexed citations (citations by other indexed papers that have themselves been cited), including 147 papers in Control and Systems Engineering, 100 papers in Mechanical Engineering and 66 papers in Electrical and Electronic Engineering. Recurrent topics in Xiang Li's work include Machine Fault Diagnosis Techniques (86 papers), Fault Detection and Control Systems (52 papers) and Gear and Bearing Dynamics Analysis (27 papers). Xiang Li is often cited by papers focused on Machine Fault Diagnosis Techniques (86 papers), Fault Detection and Control Systems (52 papers) and Gear and Bearing Dynamics Analysis (27 papers). Xiang Li collaborates with scholars based in China, United States and Singapore. Xiang Li's co-authors include Zhang We, Qian Ding, Jian‐Qiao Sun, Hui Ma, Zhong Luo, Xu Li, Jay Lee, Yaguo Lei, Naipeng Li and Bin Yang and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Bioresource Technology.

In The Last Decade

Xiang Li

390 papers receiving 13.2k citations

Hit Papers

Remaining useful life estimation in prognostics using dee... 2017 2026 2020 2023 2017 2018 2018 2018 2018 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiang Li China 61 7.4k 4.8k 2.2k 2.0k 1.9k 423 13.6k
Robert X. Gao United States 64 9.0k 1.2× 7.9k 1.6× 1.8k 0.8× 3.0k 1.5× 2.4k 1.3× 381 19.4k
Shen Yin China 78 14.6k 2.0× 4.4k 0.9× 2.9k 1.3× 646 0.3× 1.8k 0.9× 333 20.0k
Dong Wang China 63 8.0k 1.1× 5.8k 1.2× 1.3k 0.6× 2.9k 1.5× 3.2k 1.7× 687 15.4k
Steven X. Ding Germany 73 23.0k 3.1× 6.2k 1.3× 3.6k 1.7× 1.3k 0.7× 1.9k 1.0× 484 26.4k
Weihua Li China 43 5.5k 0.7× 3.2k 0.7× 1.4k 0.6× 1.8k 0.9× 1.2k 0.7× 231 8.3k
Zhang We China 47 4.7k 0.6× 3.2k 0.7× 1.6k 0.7× 1.3k 0.7× 1.2k 0.6× 297 9.7k
Jianbo Yu China 50 3.7k 0.5× 3.0k 0.6× 973 0.4× 999 0.5× 1.2k 0.6× 316 7.9k
Ruqiang Yan China 73 15.9k 2.1× 9.7k 2.0× 3.6k 1.6× 5.0k 2.5× 2.8k 1.5× 424 24.1k
Zhixiong Li China 57 3.1k 0.4× 5.0k 1.0× 603 0.3× 1.1k 0.6× 1.2k 0.6× 379 11.6k
Baoping Cai China 48 3.4k 0.5× 2.8k 0.6× 892 0.4× 1.3k 0.7× 1.7k 0.9× 235 8.5k

Countries citing papers authored by Xiang Li

Since Specialization
Citations

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

Fields of papers citing papers by Xiang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiang Li

This figure shows the co-authorship network connecting the top 25 collaborators of Xiang Li. A scholar is included among the top collaborators of Xiang 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 Xiang Li. Xiang Li 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.
Li, Xiang, Chong Fu, Qun Wang, et al.. (2025). Multi-Scale Dynamic Sparse Attention UNet for Medical Image Segmentation. IEEE Journal of Biomedical and Health Informatics. 29(9). 6754–6766. 1 indexed citations
2.
Zhang, Wei, et al.. (2024). Effect of strain ratio and pre-strain on the low-cycle fatigue behavior of 4130X steel at different strain amplitudes. Materials Today Communications. 41. 110340–110340. 3 indexed citations
3.
Wang, Xiaopeng, et al.. (2024). Research on the distorted similitude of bolt-connected coupled cylindrical-conical shells. Structures. 68. 107068–107068.
4.
Yang, Xiao, et al.. (2024). Dynamic modeling of gear compound faults and stiffness sensitivity analysis against arbitrary spatial configuration of defect. Mechanical Systems and Signal Processing. 218. 111564–111564. 11 indexed citations
5.
We, Zhang, et al.. (2024). Denoising diffusion probabilistic model-enabled data augmentation method for intelligent machine fault diagnosis. Engineering Applications of Artificial Intelligence. 139. 109520–109520. 30 indexed citations
6.
Feng, Ting, Weiwei Sun, Shengbao Wu, et al.. (2024). Tunable Active Dual-Coupler Ring Based Compound-Cavity Filter for Single-Longitudinal-Mode Fiber Lasers. Journal of Lightwave Technology. 43(2). 857–868. 2 indexed citations
7.
Li, Xiang, Chong Fu, Qun Wang, et al.. (2024). DMSA-UNet: Dual Multi-Scale Attention makes UNet more strong for medical image segmentation. Knowledge-Based Systems. 299. 112050–112050. 19 indexed citations
8.
Yang, Bin, Yaguo Lei, Xiang Li, & Naipeng Li. (2023). Targeted transfer learning through distribution barycenter medium for intelligent fault diagnosis of machines with data decentralization. Expert Systems with Applications. 244. 122997–122997. 81 indexed citations
9.
Xu, Mingze, et al.. (2023). Lightweight RepVGG-Based Cross-Modality Data Prediction Method for Solid Rocket Motors. Sensors. 23(22). 9165–9165. 2 indexed citations
10.
Lu, Jianfeng, et al.. (2023). Analytical model for the power production of a yaw-misaligned wind turbine. Physics of Fluids. 35(12). 4 indexed citations
11.
Li, Xiang, et al.. (2023). Maximum Power Tracking Control of Wind Turbines Based on a New Prescribed Performance Function. Energies. 16(10). 4022–4022. 2 indexed citations
12.
Guo, Wei, et al.. (2023). A novel approach to bearing prognostics based on impulse-driven measures, improved morphological filter and practical health indicator construction. Reliability Engineering & System Safety. 238. 109451–109451. 12 indexed citations
13.
Li, Xiang, et al.. (2023). Exploring Better Text Image Translation with Multimodal Codebook. 3479–3491. 5 indexed citations
14.
Yang, Xiao, Yaguo Lei, Huan Liu, et al.. (2023). Rigid-flexible coupled modeling of compound multistage gear system considering flexibility of shaft and gear elastic deformation. Mechanical Systems and Signal Processing. 200. 110632–110632. 19 indexed citations
15.
Guo, Wei, et al.. (2023). A lightweight residual network based on improved knowledge transfer and quantized distillation for cross-domain fault diagnosis of rolling bearings. Expert Systems with Applications. 245. 123083–123083. 23 indexed citations
16.
Li, Xiang, et al.. (2023). Partial Domain Adaptation in Remaining Useful Life Prediction With Incomplete Target Data. IEEE/ASME Transactions on Mechatronics. 29(3). 1903–1913. 94 indexed citations breakdown →
17.
Cao, Zhong, et al.. (2022). Autonomous Driving Policy Continual Learning With One-Shot Disengagement Case. IEEE Transactions on Intelligent Vehicles. 8(2). 1380–1391. 8 indexed citations
18.
Li, Xiang, Shixia Chen, Jun Wang, et al.. (2022). Bifunctional Role of Hydrogen in Aqueous Hydrogenative Ring Rearrangement of Furfurals over Co@Co-NC. ACS Sustainable Chemistry & Engineering. 10(22). 7321–7329. 23 indexed citations
19.
Ma, Jun, et al.. (2021). An Optimal Parameter Selection Method for MOMEDA Based on EHNR and Its Spectral Entropy. Sensors. 21(2). 533–533. 14 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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