Lu Jing

1.2k total citations · 2 hit papers
12 papers, 954 citations indexed

About

Lu Jing is a scholar working on Control and Systems Engineering, Mechanical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Lu Jing has authored 12 papers receiving a total of 954 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Control and Systems Engineering, 6 papers in Mechanical Engineering and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Lu Jing's work include Fault Detection and Control Systems (5 papers), Machine Fault Diagnosis Techniques (5 papers) and Non-Destructive Testing Techniques (4 papers). Lu Jing is often cited by papers focused on Fault Detection and Control Systems (5 papers), Machine Fault Diagnosis Techniques (5 papers) and Non-Destructive Testing Techniques (4 papers). Lu Jing collaborates with scholars based in China and United States. Lu Jing's co-authors include Ming Zhao, Li Pin, Xiaoqiang Xu, Wang Tai-yong, Peng Wang, Yiqing Zhang, Ling Zhao, Jialin Han, Chengjun Chen and Jié Song and has published in prestigious journals such as Sensors, Materials Research Bulletin and Applied Sciences.

In The Last Decade

Lu Jing

10 papers receiving 924 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 convolutional neural network based feature learning and fault diagnosis method for the condition monitoring of gearbox

2017 559 citations Lu Jing, Ming Zhao et al. Measurement profile →
An Adaptive Multi-Sensor Data Fusion Method Based on Deep Convolutional Neural Networks for Fault Diagnosis of Planetary Gearbox

2017 308 citations Lu Jing, Wang Tai-yong et al. Sensors profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lu Jing China	8	657	474	264	107	99	12	954
Fengjie Fan China	19	780 1.2×	446 0.9×	259 1.0×	138 1.3×	80 0.8×	58	993
Weiwei Qian China	14	752 1.1×	472 1.0×	284 1.1×	138 1.3×	57 0.6×	28	943
Meng Hee Lim Malaysia	14	596 0.9×	329 0.7×	189 0.7×	138 1.3×	85 0.9×	30	876
Zhongkui Zhu China	14	824 1.3×	465 1.0×	250 0.9×	149 1.4×	115 1.2×	52	970
Miao He United States	13	576 0.9×	423 0.9×	196 0.7×	86 0.8×	58 0.6×	22	964
Kun Xu China	17	661 1.0×	441 0.9×	262 1.0×	145 1.4×	62 0.6×	41	899
Huaiqian Bao China	14	569 0.9×	353 0.7×	182 0.7×	143 1.3×	54 0.5×	52	816
Bram Vervisch Belgium	8	905 1.4×	632 1.3×	340 1.3×	92 0.9×	150 1.5×	23	1.2k
Purushottam Gangsar India	13	734 1.1×	399 0.8×	293 1.1×	65 0.6×	60 0.6×	17	883

Countries citing papers authored by Lu Jing

Since Specialization

Citations

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

Fields of papers citing papers by Lu Jing

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lu Jing

This figure shows the co-authorship network connecting the top 25 collaborators of Lu Jing. A scholar is included among the top collaborators of Lu Jing 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 Lu Jing. Lu Jing 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:

12 of 12 papers shown

1.

Shen, Yujie, et al.. (2024). A life prediction method based on MDFF and DITCN-ABiGRU mixed network model. Heliyon. 10(2). e24299–e24299.

2.

Zhao, Ling, et al.. (2022). A quantitative identification method based on CWT and CNN for external and inner broken wires of steel wire ropes. Heliyon. 8(11). e11623–e11623. 16 indexed citations

3.

Han, Jialin, et al.. (2022). Intelligent Fault Diagnosis of Broken Wires for Steel Wire Ropes Based on Generative Adversarial Nets. Applied Sciences. 12(22). 11552–11552. 14 indexed citations

4.

Jing, Lu, et al.. (2020). A Multimodel Decision Fusion Method Based on DCNN-IDST for Fault Diagnosis of Rolling Bearing. Shock and Vibration. 2020. 1–12. 9 indexed citations

5.

Zhang, Yiqing, et al.. (2020). A comprehensive study of the magnetic concentrating sensor for the damage detection of steel wire ropes. Materials Research Express. 7(9). 96102–96102. 9 indexed citations

6.

Zhang, Yiqing, et al.. (2019). A Sensor for Broken Wire Detection of Steel Wire Ropes Based on the Magnetic Concentrating Principle. Sensors. 19(17). 3763–3763. 26 indexed citations

7.

Jing, Lu, Ming Zhao, Li Pin, & Xiaoqiang Xu. (2017). A convolutional neural network based feature learning and fault diagnosis method for the condition monitoring of gearbox. Measurement. 111. 1–10. 559 indexed citations breakdown →

8.

Jing, Lu, Wang Tai-yong, Ming Zhao, & Peng Wang. (2017). An Adaptive Multi-Sensor Data Fusion Method Based on Deep Convolutional Neural Networks for Fault Diagnosis of Planetary Gearbox. Sensors. 17(2). 414–414. 308 indexed citations breakdown →

9.

Wang, Peng, et al.. (2016). State Inspection and Fault Diagnosis System of Train Axel Box Bearing Based on Virtual Instrument. Key engineering materials. 693. 1436–1440. 1 indexed citations

10.

Jing, Lu, et al.. (2016). Research on SVM Based Diagnosis System for Oil Tubing. Key engineering materials. 693. 1405–1411. 1 indexed citations

11.

Jing, Lu, et al.. (2016). Design and Implementation of DSP Based Cross-Platform Material Scratch Test Control System. Key engineering materials. 693. 1578–1584.

12.

Zhao, Pusu, et al.. (2013). Facile 1,4-dioxane-assisted solvothermal synthesis, optical and electrochemical properties of CeO2 microspheres. Materials Research Bulletin. 48(11). 4476–4480. 11 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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