Peihua Li publications per year

The chart shows the history of publications by Peihua Li between 1989 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Peihua Li published across 37 years, from 1989 to 2025, averaging 6.1 papers a year. Output peaked at 29 publications in 2021. 22 of the 226 publications appeared in the last two years.

No. of publications

5 10 15 20 25

1989 2025

226 publications in total across all disciplines

View publications per year as a table

Peihua Li: publications per year, 1989 to 2025
Year	Publications
1989	2
1990	0
1991	0
1992	0
1993	0
1994	0
1995	0
1996	0
1997	0
1998	0
1999	0
2000	0
2001	0
2002	4
2003	2
2004	4
2005	6
2006	4
2007	6
2008	5
2009	9
2010	7
2011	6
2012	9
2013	10
2014	5
2015	4
2016	5
2017	21
2018	12
2019	8
2020	13
2021	29
2022	20
2023	13
2024	9
2025	13
Total	226

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Peihua Li publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Peihua Li sits on this spectrum.

No. of scientists

200 400 600

32–41 publications 991+

This scientist: 118 publications — 14th percentile

14% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

View publications distribution as a table

Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications	Scientists	This scientist
32–41	7
42–51	22
52–61	82
62–71	134
72–81	249
82–91	324
92–101	421
102–111	420
112–121	497	118
122–131	544
132–141	555
142–151	609
152–161	559
162–171	534
172–181	556
182–191	583
192–201	519
202–211	508
212–221	490
222–231	437
232–241	423
242–251	408
252–261	377
262–271	301
272–281	335
282–291	320
292–301	293
302–311	250
312–321	238
322–331	206
332–341	209
342–351	208
352–361	162
362–371	176
372–381	127
382–391	158
392–401	128
402–411	104
412–421	94
422–431	99
432–441	83
442–451	108
452–461	73
462–471	77
472–481	69
482–491	84
492–501	62
502–511	54
512–521	57
522–531	51
532–541	51
542–551	32
552–561	38
562–571	28
572–581	43
582–591	33
592–601	41
602–611	32
612–621	28
622–631	25
632–641	27
642–651	17
652–661	20
662–671	17
672–681	15
682–691	14
692–701	21
702–711	13
712–721	12
722–731	19
732–741	14
742–751	12
752–761	10
762–771	10
772–781	11
782–791	10
792–801	11
802–811	8
812–821	8
822–831	7
832–841	11
842–851	10
852–861	5
862–871	9
872–881	4
882–891	6
892–901	3
902–911	6
912–921	3
922–931	2
932–941	2
942–951	2
952–961	3
962–971	3
972–981	3
982–990	5
991+	100

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Peihua Li D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Peihua Li sits on this spectrum.

No. of scientists

200 400 600 800

30–31 D-Index 131+

This scientist: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

View D-Index distribution as a table

Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index	Scientists	This scientist
30–31	879
32–33	983	32
34–35	918
36–37	990
38–39	968
40–41	907
42–43	821
44–45	763
46–47	689
48–49	543
50–51	543
52–53	518
54–55	500
56–57	458
58–59	400
60–61	337
62–63	308
64–65	292
66–67	249
68–69	213
70–71	192
72–73	189
74–75	165
76–77	139
78–79	119
80–81	121
82–83	113
84–85	88
86–87	87
88–89	75
90–91	69
92–93	57
94–95	46
96–97	38
98–99	34
100–101	36
102–103	27
104–105	37
106–107	18
108–109	31
110–111	19
112–113	16
114–115	12
116–117	20
118–119	15
120–121	5
122–123	20
124–125	8
126–127	5
128–129	7
130	3
131+	98

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Best Publications

ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

Qilong Wang;Banggu Wu;Pengfei Zhu;Peihua Li

7538
Citations
Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation

Hongliang Yan;Yukang Ding;Peihua Li;Qilong Wang

639
Citations
Global Second-Order Pooling Convolutional Networks

Unknown

473
Citations
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

Qilong Wang;Banggu Wu;Pengfei Zhu;Peihua Li

367
Citations
Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization

Unknown

301
Citations
Is Second-Order Information Helpful for Large-Scale Visual Recognition?

Peihua Li;Jiangtao Xie;Qilong Wang;Wangmeng Zuo

282
Citations
Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification

Unknown

257
Citations
Visual Contour Tracking Based on Particle Filters

Unknown

242
Citations
Robust and accurate iris segmentation in very noisy iris images

Unknown

173
Citations
Unscented Kalman filter for visual curve tracking

Unknown

156
Citations
End-to-End Image Super-Resolution via Deep and Shallow Convolutional Networks

Unknown

153
Citations
Log-Euclidean Kernels for Sparse Representation and Dictionary Learning

Peihua Li;Qilong Wang;Wangmeng Zuo;Wangmeng Zuo;Lei Zhang

147
Citations
G2DeNet: Global Gaussian Distribution Embedding Network and Its Application to Visual Recognition

Qilong Wang;Peihua Li;Lei Zhang

117
Citations
Integrating Boundary and Center Correlation Filters for Visual Tracking with Aspect Ratio Variation

Feng Li;Yingjie Yao;Peihua Li;David Zhang

112
Citations
Deep CNNs Meet Global Covariance Pooling: Better Representation and Generalization

Qilong Wang;Jiangtao Xie;Wangmeng Zuo;Lei Zhang

101
Citations
Iris recognition in non-ideal imaging conditions

Unknown

98
Citations
A Novel Earth Mover's Distance Methodology for Image Matching with Gaussian Mixture Models

Peihua Li;Qilong Wang;Lei Zhang

97
Citations
Weighted and Class-Specific Maximum Mean Discrepancy for Unsupervised Domain Adaptation

Hongliang Yan;Zhetao Li;Qilong Wang;Peihua Li

91
Citations
Multi-scale Location-Aware Kernel Representation for Object Detection

Hao Wang;Qilong Wang;Mingqi Gao;Peihua Li

81
Citations
Local Log-Euclidean Multivariate Gaussian Descriptor and Its Application to Image Classification

Peihua Li;Qilong Wang;Hui Zeng;Lei Zhang

79
Citations