Lingli Cui publications per year

The chart shows the history of publications by Lingli Cui between 2003 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Lingli Cui published across 23 years, from 2003 to 2025, averaging 8.6 papers a year. Output peaked at 36 publications in 2024. 55 of the 198 publications appeared in the last two years.

No. of publications

10 20 30

2003 2025

198 publications in total across all disciplines

View publications per year as a table

Lingli Cui: publications per year, 2003 to 2025
Year	Publications
2003	1
2004	2
2005	2
2006	4
2007	6
2008	0
2009	0
2010	1
2011	4
2012	2
2013	3
2014	4
2015	8
2016	7
2017	3
2018	9
2019	17
2020	12
2021	16
2022	23
2023	19
2024	36
2025	19
Total	198

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Lingli Cui publication distribution in Mechanical and Aerospace Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mechanical and Aerospace Engineering in 2026. The highlighted bar marks where Lingli Cui sits on this spectrum.

No. of scientists

50 100 150

47–56 publications 659+

This scientist: 164 publications — 30th percentile

30% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 659 publications or more.

View publications distribution as a table

Number of Mechanical and Aerospace Engineering scientists by publication count, Research.com 2026 ranking edition. Based on 3,445 ranked scientists.
Publications	Scientists	This scientist
47–56	10
57–66	23
67–76	32
77–86	62
87–96	67
97–106	91
107–116	113
117–126	115
127–136	130
137–146	140
147–156	155
157–166	132	164
167–176	133
177–186	130
187–196	140
197–206	115
207–216	125
217–226	117
227–236	99
237–246	92
247–256	100
257–266	95
267–276	88
277–286	77
287–296	74
297–306	74
307–316	62
317–326	70
327–336	59
337–346	58
347–356	45
357–366	44
367–376	36
377–386	41
387–396	32
397–406	23
407–416	28
417–426	27
427–436	25
437–446	23
447–456	23
457–466	20
467–476	12
477–486	24
487–496	18
497–506	12
507–516	13
517–526	21
527–536	12
537–546	8
547–556	16
557–566	3
567–576	11
577–586	6
587–596	5
597–606	6
607–616	7
617–626	7
627–636	10
637–646	4
647–656	3
657–658	2
659+	100

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Lingli Cui D-index placement in Mechanical and Aerospace Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Mechanical and Aerospace Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Lingli Cui sits on this spectrum.

No. of scientists

50 100 150

30 D-Index 93+

This scientist: 38 D-Index — 36th percentile

36% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 93 D-Index or more.

View D-Index distribution as a table

Number of Mechanical and Aerospace Engineering scientists by D-index, Research.com 2026 ranking edition. Based on 3,445 ranked scientists.
D-Index	Scientists	This scientist
30	83
31	113
32	144
33	153
34	189
35	158
36	139
37	127
38	130	38
39	126
40	104
41	100
42	107
43	101
44	103
45	79
46	88
47	70
48	83
49	44
50	64
51	56
52	50
53	48
54	58
55	52
56	48
57	42
58	34
59	42
60	37
61	42
62	44
63	22
64	33
65	29
66	23
67	29
68	24
69	19
70	34
71	26
72	19
73	18
74	19
75	14
76	19
77	8
78	18
79	16
80	12
81	17
82	11
83	16
84	7
85	9
86	8
87	6
88	6
89	7
90	10
91	4
92	4
93+	100

Download as CSV

Best Publications

A novel convolutional neural network based fault recognition method via image fusion of multi-vibration-signals

Unknown

319
Citations
Quantitative and Localization Diagnosis of a Defective Ball Bearing Based on Vertical–Horizontal Synchronization Signal Analysis

Unknown

266
Citations
Research on Remaining Useful Life Prediction of Rolling Element Bearings Based on Time-Varying Kalman Filter

Unknown

232
Citations
Basic pursuit of an adaptive impulse dictionary for bearing fault diagnosis

Unknown

231
Citations
Vibration response mechanism of faulty outer race rolling element bearings for quantitative analysis

Unknown

214
Citations
A novel Switching Unscented Kalman Filter method for remaining useful life prediction of rolling bearing

Unknown

201
Citations
A review on deep learning in planetary gearbox health state recognition: methods, applications, and dataset publication

Unknown

186
Citations
Rotating Machinery Fault Diagnosis Under Time-Varying Speeds: A Review

Unknown

161
Citations
Adaptive Kurtogram and its applications in rolling bearing fault diagnosis

Unknown

159
Citations
Quantitative fault analysis of roller bearings based on a novel matching pursuit method with a new step-impulse dictionary

Unknown

147
Citations
An Adaptive Data Fusion Strategy for Fault Diagnosis based on the Convolutional Neural Network

Unknown

124
Citations
Double-dictionary matching pursuit for fault extent evaluation of rolling bearing based on the Lempel-Ziv complexity

Unknown

115
Citations
Frequency-chirprate synchrosqueezing-based scaling chirplet transform for wind turbine nonstationary fault feature time–frequency representation

Unknown

111
Citations
Digital twin-driven graph domain adaptation neural network for remaining useful life prediction of rolling bearing

Unknown

106
Citations
A Novel Weighted Sparse Representation Classification Strategy Based on Dictionary Learning for Rotating Machinery

Unknown

103
Citations
Quantitative trend fault diagnosis of a rolling bearing based on Sparsogram and Lempel-Ziv

Unknown

102
Citations
Bearing Weak Fault Feature Extraction Under Time-Varying Speed Conditions Based on Frequency Matching Demodulation Transform

Unknown

99
Citations
An intelligent bearing fault diagnosis framework: one-dimensional improved self-attention-enhanced CNN and empirical wavelet transform

Unknown

93
Citations
A three-dimensional geometric features-based SCA algorithm for compound faults diagnosis

Unknown

83
Citations
A Novel Feature Enhancement Method Based on Improved Constraint Model of Online Dictionary Learning

Unknown

78
Citations

Frequent Co-Authors

Fulei Chu Tsinghua University

External Links

Personal website of Lingli Cui Google Scholar page

If you think any of the details on this page are incorrect, let us know.

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D-Index	Scientists	This scientist
30	83
31	113
32	144
33	153
34	189
35	158
36	139
37	127
38	130	38
39	126
40	104
41	100
42	107
43	101
44	103
45	79
46	88
47	70
48	83
49	44
50	64
51	56
52	50
53	48
54	58
55	52
56	48
57	42
58	34
59	42
60	37
61	42
62	44
63	22
64	33
65	29
66	23
67	29
68	24
69	19
70	34
71	26
72	19
73	18
74	19
75	14
76	19
77	8
78	18
79	16
80	12
81	17
82	11
83	16
84	7
85	9
86	8
87	6
88	6
89	7
90	10
91	4
92	4
93+	100

D-Index	Scientists	This scientist
30	83
31	113
32	144
33	153
34	189
35	158
36	139
37	127
38	130	38
39	126
40	104
41	100
42	107
43	101
44	103
45	79
46	88
47	70
48	83
49	44
50	64
51	56
52	50
53	48
54	58
55	52
56	48
57	42
58	34
59	42
60	37
61	42
62	44
63	22
64	33
65	29
66	23
67	29
68	24
69	19
70	34
71	26
72	19
73	18
74	19
75	14
76	19
77	8
78	18
79	16
80	12
81	17
82	11
83	16
84	7
85	9
86	8
87	6
88	6
89	7
90	10
91	4
92	4
93+	100

Lingli Cui

D-Index & Metrics

Lingli Cui publications per year

Lingli Cui publication distribution in Mechanical and Aerospace Engineering in 2026

Lingli Cui D-index placement in Mechanical and Aerospace Engineering in 2026

Best Publications

A novel convolutional neural network based fault recognition method via image fusion of multi-vibration-signals

Quantitative and Localization Diagnosis of a Defective Ball Bearing Based on Vertical–Horizontal Synchronization Signal Analysis

Research on Remaining Useful Life Prediction of Rolling Element Bearings Based on Time-Varying Kalman Filter

Basic pursuit of an adaptive impulse dictionary for bearing fault diagnosis

Vibration response mechanism of faulty outer race rolling element bearings for quantitative analysis

A novel Switching Unscented Kalman Filter method for remaining useful life prediction of rolling bearing

A review on deep learning in planetary gearbox health state recognition: methods, applications, and dataset publication

Rotating Machinery Fault Diagnosis Under Time-Varying Speeds: A Review

Adaptive Kurtogram and its applications in rolling bearing fault diagnosis

Quantitative fault analysis of roller bearings based on a novel matching pursuit method with a new step-impulse dictionary

An Adaptive Data Fusion Strategy for Fault Diagnosis based on the Convolutional Neural Network

Double-dictionary matching pursuit for fault extent evaluation of rolling bearing based on the Lempel-Ziv complexity

Frequency-chirprate synchrosqueezing-based scaling chirplet transform for wind turbine nonstationary fault feature time–frequency representation

Digital twin-driven graph domain adaptation neural network for remaining useful life prediction of rolling bearing

A Novel Weighted Sparse Representation Classification Strategy Based on Dictionary Learning for Rotating Machinery

Quantitative trend fault diagnosis of a rolling bearing based on Sparsogram and Lempel-Ziv

Bearing Weak Fault Feature Extraction Under Time-Varying Speed Conditions Based on Frequency Matching Demodulation Transform

An intelligent bearing fault diagnosis framework: one-dimensional improved self-attention-enhanced CNN and empirical wavelet transform

A three-dimensional geometric features-based SCA algorithm for compound faults diagnosis

A Novel Feature Enhancement Method Based on Improved Constraint Model of Online Dictionary Learning

Frequent Co-Authors

External Links

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D-Index	Scientists	This scientist
30	83
31	113
32	144
33	153
34	189
35	158
36	139
37	127
38	130	38
39	126
40	104
41	100
42	107
43	101
44	103
45	79
46	88
47	70
48	83
49	44
50	64
51	56
52	50
53	48
54	58
55	52
56	48
57	42
58	34
59	42
60	37
61	42
62	44
63	22
64	33
65	29
66	23
67	29
68	24
69	19
70	34
71	26
72	19
73	18
74	19
75	14
76	19
77	8
78	18
79	16
80	12
81	17
82	11
83	16
84	7
85	9
86	8
87	6
88	6
89	7
90	10
91	4
92	4
93+	100