Nian Liu

167 total papers · 7.2k total citations
83 papers, 4.7k citations indexed

About

Nian Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Sensory Systems. According to data from OpenAlex, Nian Liu has authored 83 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 11 papers in Sensory Systems. Recurrent topics in Nian Liu's work include Visual Attention and Saliency Detection (34 papers), Advanced Image and Video Retrieval Techniques (27 papers) and Advanced Neural Network Applications (21 papers). Nian Liu is often cited by papers focused on Visual Attention and Saliency Detection (34 papers), Advanced Image and Video Retrieval Techniques (27 papers) and Advanced Neural Network Applications (21 papers). Nian Liu collaborates with scholars based in China, United Arab Emirates and United States. Nian Liu's co-authors include Junwei Han, Ming–Hsuan Yang, Dingwen Zhang, Ni Zhang, Dong Xu, Ling Shao, Gong Cheng, Xuelong Li, Hao Chen and Chenggang Yan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, IEEE Transactions on Pattern Analysis and Machine Intelligence and The Journal of Comparative Neurology.

In The Last Decade

Nian Liu

77 papers receiving 4.6k citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

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 benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

PiCANet: Learning Pixel-Wise Contextual Attention for Saliency Detection

2018 638 citations Nian Liu, Junwei Han et al. profile →
DHSNet: Deep Hierarchical Saliency Network for Salient Object Detection

2016 601 citations Nian Liu, Junwei Han profile →
Advanced Deep-Learning Techniques for Salient and Category-Specific Object Detection: A Survey

2018 481 citations Junwei Han, Dingwen Zhang et al. IEEE Signal Processing Magazine profile →
CNNs-Based RGB-D Saliency Detection via Cross-View Transfer and Multiview Fusion

2017 336 citations Junwei Han, Hao Chen et al. IEEE Transactions on Cybernetics profile →
Learning Selective Self-Mutual Attention for RGB-D Saliency Detection

2020 254 citations Nian Liu, Ni Zhang et al. profile →
Salient Object Detection via Integrity Learning

2022 250 citations Mingchen Zhuge, Deng-Ping Fan et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
Context-aware Cross-level Fusion Network for Camouflaged Object Detection

2021 178 citations Yujia Sun, Geng Chen et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Nian Liu	3.7k	786	714	587	475	83	4.7k
Erhardt Barth	1.6k 0.4×	747 1.0×	84 0.1×	216 0.4×	402 0.8×	126	3.3k
Hanspeter A. Mallot	1.2k 0.3×	1.5k 1.9×	86 0.1×	198 0.3×	232 0.5×	112	3.8k
Felix A. Wichmann	1.2k 0.3×	4.5k 5.8×	463 0.6×	165 0.3×	839 1.8×	118	6.5k
Zhenzhong Chen	3.9k 1.1×	223 0.3×	193 0.3×	713 1.2×	499 1.1×	321	5.8k
David W. Jacobs	7.2k 2.0×	428 0.5×	50 0.1×	507 0.9×	617 1.3×	100	8.9k
Laurenz Wiskott	2.8k 0.8×	1.4k 1.8×	71 0.1×	415 0.7×	754 1.6×	85	5.6k
Xiaolei Huang	7.1k 1.9×	741 0.9×	1.0k 1.4×	992 1.7×	1.1k 2.2×	142	9.1k
T. Serre	5.3k 1.4×	2.2k 2.8×	92 0.1×	368 0.6×	2.6k 5.5×	94	8.3k
C. von der Malsburg	3.8k 1.0×	1.8k 2.2×	62 0.1×	441 0.8×	910 1.9×	40	6.2k
Tai Sing Lee	1.3k 0.4×	2.4k 3.0×	91 0.1×	262 0.4×	424 0.9×	59	4.0k

Countries citing papers authored by Nian Liu

Since Specialization

Citations

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

Fields of papers citing papers by Nian Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nian Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Nian Liu. A scholar is included among the top collaborators of Nian Liu 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 Nian Liu. Nian Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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