Nian Liu publications per year

The chart shows the history of publications by Nian Liu between 2001 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Nian Liu published across 25 years, from 2001 to 2025, averaging 6.6 papers a year. Output peaked at 29 publications in 2021. 42 of the 166 publications appeared in the last two years.

No. of publications

5 10 15 20 25

2001 2025

166 publications in total across all disciplines

View publications per year as a table

Nian Liu: publications per year, 2001 to 2025
Year	Publications
2001	1
2002	0
2003	2
2004	1
2005	1
2006	1
2007	4
2008	2
2009	6
2010	0
2011	0
2012	1
2013	3
2014	3
2015	1
2016	6
2017	2
2018	10
2019	6
2020	8
2021	29
2022	13
2023	24
2024	21
2025	21
Total	166

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Nian Liu 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 Nian Liu sits on this spectrum.

No. of scientists

200 400 600

32–41 publications 991+

This scientist: 116 publications — 13th percentile

13% 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	116
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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Nian Liu 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 Nian Liu 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

DHSNet: Deep Hierarchical Saliency Network for Salient Object Detection

Nian Liu;Junwei Han

896
Citations
PiCANet: Learning Pixel-Wise Contextual Attention for Saliency Detection

Nian Liu;Junwei Han;Ming-Hsuan Yang

892
Citations
Advanced Deep-Learning Techniques for Salient and Category-Specific Object Detection: A Survey

Junwei Han;Dingwen Zhang;Gong Cheng;Nian Liu

635
Citations
CNNs-Based RGB-D Saliency Detection via Cross-View Transfer and Multiview Fusion

Junwei Han;Hao Chen;Nian Liu;Chenggang Yan

411
Citations
Online Multi-Object Tracking with Dual Matching Attention Networks

Ji Zhu;Hua Yang;Nian Liu;Minyoung Kim

382
Citations
Salient Object Detection via Integrity Learning.

Mingchen Zhuge;Deng-Ping Fan;Nian Liu;Dingwen Zhang

340
Citations
Learning Selective Self-Mutual Attention for RGB-D Saliency Detection

Nian Liu;Ni Zhang;Junwei Han

316
Citations
Context-aware Cross-level Fusion Network for Camouflaged Object Detection

Yujia Sun;Geng Chen;Tao Zhou;Yi Zhang

303
Citations
Predicting eye fixations using convolutional neural networks

Nian Liu;Junwei Han;Dingwen Zhang;Shifeng Wen

280
Citations
A Deep Spatial Contextual Long-Term Recurrent Convolutional Network for Saliency Detection

Nian Liu;Junwei Han

220
Citations
Learning Non-target Knowledge for Few-shot Semantic Segmentation

Unknown

169
Citations
PiCANet: Pixel-Wise Contextual Attention Learning for Accurate Saliency Detection

Nian Liu;Junwei Han;Ming-Hsuan Yang

134
Citations
Learning to Predict Eye Fixations via Multiresolution Convolutional Neural Networks

Nian Liu;Junwei Han;Tianming Liu;Xuelong Li

115
Citations
Learning Selective Mutual Attention and Contrast for RGB-D Saliency Detection.

Nian Liu;Ni Zhang;Ling Shao;Junwei Han

109
Citations
NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results

Unknown

89
Citations
Weakly Supervised Video Salient Object Detection

Wangbo Zhao;Jing Zhang;Long Li;Nick Barnes

85
Citations
Scribble-Supervised Video Object Segmentation

Peiliang Huang;Junwei Han;Nian Liu;Jun Ren

83
Citations
Attentive Linear Transformation for Image Captioning

Senmao Ye;Junwei Han;Nian Liu

75
Citations
Summarize and Search: Learning Consensus-Aware Dynamic Convolution for Co-Saliency Detection

Ni Zhang;Junwei Han;Nian Liu;Ling Shao

70
Citations
Spatiotemporal Convolutional Neural Network with Convolutional Block Attention Module for Micro-Expression Recognition

Unknown

68
Citations