Ningbo Li

4.5k total citations · 3 hit papers
16 papers, 3.5k citations indexed

About

Ningbo Li is a scholar working on Control and Systems Engineering, Aerospace Engineering and Mechanics of Materials. According to data from OpenAlex, Ningbo Li has authored 16 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Control and Systems Engineering, 5 papers in Aerospace Engineering and 3 papers in Mechanics of Materials. Recurrent topics in Ningbo Li's work include Guidance and Control Systems (5 papers), Machine Fault Diagnosis Techniques (5 papers) and Fault Detection and Control Systems (3 papers). Ningbo Li is often cited by papers focused on Guidance and Control Systems (5 papers), Machine Fault Diagnosis Techniques (5 papers) and Fault Detection and Control Systems (3 papers). Ningbo Li collaborates with scholars based in China, Netherlands and Canada. Ningbo Li's co-authors include Yaguo Lei, Naipeng Li, Tao Yan, Liang Guo, Biao Wang, Jing Lin, Tianyu Han, Humin Lei, Huiyuan Shi and Jiangtao Cao and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Construction and Building Materials and Sensors.

In The Last Decade

Ningbo Li

14 papers receiving 3.4k 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.

Machinery health prognostics: A systematic review from data acquisition to RUL prediction

2017 1.8k citations Yaguo Lei, Naipeng Li et al. Mechanical Systems and Signal Processing profile →
A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings

2018 1.3k citations Biao Wang, Yaguo Lei et al. IEEE Transactions on Reliability profile →
Machinery health indicator construction based on convolutional neural networks considering trend burr

2018 230 citations Liang Guo, Yaguo Lei et al. Neurocomputing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ningbo Li China	7	2.8k	1.6k	1.0k	754	303	16	3.5k
Tao Yan China	16	3.2k 1.1×	1.9k 1.2×	1.2k 1.2×	906 1.2×	453 1.5×	52	4.4k
Kamal Medjaher France	32	2.7k 1.0×	1.5k 0.9×	916 0.9×	654 0.9×	329 1.1×	123	4.1k
Linxia Liao United States	12	1.8k 0.6×	825 0.5×	709 0.7×	487 0.6×	185 0.6×	19	2.5k
Ningyun Lu China	33	2.7k 0.9×	1.3k 0.8×	435 0.4×	246 0.3×	370 1.2×	166	3.5k
Haiping Zhu China	22	1.3k 0.5×	730 0.5×	431 0.4×	437 0.6×	241 0.8×	80	2.2k
Lotfi Saïdi Tunisia	18	1.9k 0.7×	1.2k 0.8×	324 0.3×	600 0.8×	172 0.6×	58	2.4k
Xiaohang Jin China	20	1.6k 0.5×	853 0.5×	364 0.4×	365 0.5×	218 0.7×	54	2.1k
Zhong Luo China	30	2.5k 0.9×	2.0k 1.3×	184 0.2×	867 1.1×	545 1.8×	231	4.1k
Pietro Borghesani Australia	29	1.7k 0.6×	1.6k 1.0×	169 0.2×	614 0.8×	222 0.7×	84	2.7k
Yiwei Cheng China	16	1.3k 0.5×	774 0.5×	279 0.3×	418 0.6×	196 0.6×	46	1.8k

Countries citing papers authored by Ningbo Li

Since Specialization

Citations

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

Fields of papers citing papers by Ningbo Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ningbo Li

This figure shows the co-authorship network connecting the top 25 collaborators of Ningbo Li. A scholar is included among the top collaborators of Ningbo 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 Ningbo Li. Ningbo 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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16 of 16 papers shown

Li, Ningbo, et al.. (2025). A Novel Hybrid Approach for UT1-UTC Ultra-Short-Term Prediction Utilizing LOD Series and Sum Series of LOD and First-Order-Difference UT1-UTC. Sensors. 25(4). 1087–1087.

Guan, Lianwu, et al.. (2024). Current situations and development tendencies for the body measurement technology in digital Skiing: A review. Measurement. 241. 115682–115682. 1 indexed citations

Li, Ningbo, et al.. (2024). The research on the meso-structure distribution mechanization and pavement performances of Superpave mixtures at different SGC gyrations. Construction and Building Materials. 438. 137178–137178. 5 indexed citations

Li, Ningbo, et al.. (2023). Optimization of asphalt mixture design based on the compressible packing model. Frontiers in Materials. 10. 1 indexed citations

Li, Ningbo, et al.. (2023). Online Trajectory Planning Method for Midcourse Guidance Phase Based on Deep Reinforcement Learning. Aerospace. 10(5). 441–441. 3 indexed citations

Li, Ningbo, Jacquelien M.A. Scherpen, Arjan van der Schaft, & Zhiyong Sun. (2022). A passivity approach in port-Hamiltonian form for formation control and velocity tracking. 2022 European Control Conference (ECC). 1844–1849. 2 indexed citations

Guo, Liang, Yaguo Lei, Naipeng Li, Tao Yan, & Ningbo Li. (2018). Machinery health indicator construction based on convolutional neural networks considering trend burr. Neurocomputing. 292. 142–150. 230 indexed citations breakdown →

Wang, Biao, Yaguo Lei, Naipeng Li, & Ningbo Li. (2018). A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings. IEEE Transactions on Reliability. 69(1). 401–412. 1286 indexed citations breakdown →

Li, Naipeng, Yaguo Lei, Tao Yan, Ningbo Li, & Tianyu Han. (2018). A Wiener-Process-Model-Based Method for Remaining Useful Life Prediction Considering Unit-to-Unit Variability. IEEE Transactions on Industrial Electronics. 66(3). 2092–2101. 180 indexed citations

10.

Lei, Yaguo, Naipeng Li, Liang Guo, et al.. (2017). Machinery health prognostics: A systematic review from data acquisition to RUL prediction. Mechanical Systems and Signal Processing. 104. 799–834. 1780 indexed citations breakdown →

11.

Li, Naipeng, et al.. (2017). Incipient Fault Detection for Rolling Element Bearings under Varying Speed Conditions. Materials. 10(6). 675–675. 17 indexed citations

12.

Lei, Humin, Ningbo Li, Lei Shao, Jinchang Liu, & Jie Li. (2017). A target estimation algorithm based on unscented particle filter. 5428. 394–397. 2 indexed citations

13.

Li, Ningbo, et al.. (2017). Trajectory Optimization Based on Multi‐Interval Mesh Refinement Method. Mathematical Problems in Engineering. 2017(1). 7 indexed citations

14.

Li, Ningbo, et al.. (2017). Variable-Time-Domain Online Neighboring Optimal Trajectory Modification for Hypersonic Interceptors. International Journal of Aerospace Engineering. 2017. 1–12. 3 indexed citations

15.

Lei, Humin, et al.. (2016). Midcourse guidance optimal trajectory modification using the second variation. 38(12). 2813. 1 indexed citations

16.

Shi, Huiyuan, et al.. (2015). Incremental multivariable predictive functional control and its application in a gas fractionation unit. Journal of Central South University. 22(12). 4653–4668. 10 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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