Nian Liu

7.3k total citations · 7 hit papers
83 papers, 4.8k 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 4.8k 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, Chenggang Yan and Hao Chen 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

79 papers receiving 4.7k citations

Hit Papers

align trajectories 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 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.

PiCANet: Learning Pixel-Wise Contextual Attention for Saliency Detection

2018 642 citations Nian Liu, Junwei Han et al. profile →
DHSNet: Deep Hierarchical Saliency Network for Salient Object Detection

2016 602 citations Nian Liu, Junwei Han profile →
Advanced Deep-Learning Techniques for Salient and Category-Specific Object Detection: A Survey

2018 482 citations Junwei Han, Dingwen Zhang et al. profile →
CNNs-Based RGB-D Saliency Detection via Cross-View Transfer and Multiview Fusion

2017 337 citations Junwei Han, Hao Chen et al. IEEE Transactions on Cybernetics profile →
Salient Object Detection via Integrity Learning

2022 256 citations Deng-Ping Fan, Nian Liu et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
Learning Selective Self-Mutual Attention for RGB-D Saliency Detection

2020 254 citations Nian Liu, Junwei Han et al. profile →
Context-aware Cross-level Fusion Network for Camouflaged Object Detection

2021 183 citations Nian Liu et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nian Liu China	28	3.7k	787	717	588	483	83	4.8k
Erhardt Barth Germany	28	1.6k 0.4×	746 0.9×	84 0.1×	215 0.4×	407 0.8×	128	3.3k
Lihe Zhang China	32	6.1k 1.6×	1.1k 1.4×	1.4k 2.0×	736 1.3×	596 1.2×	105	7.0k
Xiaodi Hou China	11	5.3k 1.4×	802 1.0×	1.0k 1.5×	891 1.5×	784 1.6×	11	6.4k
Jianbing Shen China	52	7.8k 2.1×	581 0.7×	545 0.8×	1.2k 2.0×	866 1.8×	165	9.2k
Nick Barnes Australia	31	2.8k 0.7×	610 0.8×	149 0.2×	644 1.1×	389 0.8×	174	4.4k
Qi Zhao United States	30	2.0k 0.5×	875 1.1×	217 0.3×	135 0.2×	529 1.1×	105	3.2k
Xiang Ruan China	23	6.0k 1.6×	1.3k 1.6×	1.3k 1.8×	693 1.2×	466 1.0×	73	6.5k
Lijun Wang China	24	3.3k 0.9×	416 0.5×	247 0.3×	482 0.8×	471 1.0×	136	4.0k
Dean Pomerleau United States	25	1.7k 0.5×	413 0.5×	28 0.0×	107 0.2×	1.1k 2.4×	80	3.7k
Patrick Le Callet France	35	4.2k 1.1×	663 0.8×	174 0.2×	1.4k 2.3×	146 0.3×	253	4.9k

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Liu, Nian, et al.. (2025). Plant Height Estimation in Corn Fields Based on Column Space Segmentation Algorithm. Agriculture. 15(3). 236–236. 1 indexed citations

Sui, Yuan, et al.. (2025). FiDeLiS: Faithful Reasoning in Large Language Models for Knowledge Graph Question Answering. 8315–8330. 1 indexed citations

Li, Bing, et al.. (2025). MTMU: Multi-domain Transformation based Mamba-UNet designed for unruptured intracranial aneurysm segmentation. BMC Medical Imaging. 25(1). 80–80. 1 indexed citations

Zhang, Dingwen, et al.. (2024). Pixel Distillation: Cost-Flexible Distillation Across Image Sizes and Heterogeneous Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(12). 9536–9550. 10 indexed citations

Tang, He, et al.. (2024). CalibNet: Dual-Branch Cross-Modal Calibration for RGB-D Salient Instance Segmentation. IEEE Transactions on Image Processing. 33. 4348–4362. 9 indexed citations

Wang, Binglu, et al.. (2024). TransGOP: Transformer-Based Gaze Object Prediction. Proceedings of the AAAI Conference on Artificial Intelligence. 38(9). 10180–10188. 4 indexed citations

Raja, Kiran, Renfang Wang, Hong Qiu, et al.. (2024). A Latent Fingerprint in the Wild Database. IEEE Transactions on Information Forensics and Security. 19. 3703–3718. 2 indexed citations

Chen, Pei, Nian Liu, & Binrui Wang. (2023). Evaluation of Customer Behaviour with Machine Learning for Churn Prediction: The Case of Bank Customer Churn in Europe. 5 indexed citations

Liu, Yi, et al.. (2022). Disentangled Capsule Routing for Fast Part-Object Relational Saliency. IEEE Transactions on Image Processing. 31. 6719–6732. 49 indexed citations

10.

Yang, Le, Junwei Han, Tao Zhao, Nian Liu, & Dingwen Zhang. (2022). Structured Attention Composition for Temporal Action Localization. IEEE Transactions on Image Processing. PP. 1–1. 12 indexed citations

11.

Ren, Li, Hui Peng, Peng Jiang, et al.. (2021). Effects of microwave treatment on sorghum grains: Effects on the physicochemical properties and in vitro digestibility of starch. Journal of Food Process Engineering. 44(10). 38 indexed citations

12.

Zheng, Jiangbin, Wenjing Jia, Long Li, et al.. (2021). Deep RGB-D Saliency Detection Without Depth. IEEE Transactions on Multimedia. 24. 755–767. 13 indexed citations

13.

Liu, Nian, et al.. (2020). Harmonizing Performance and Isolation in Microkernels with Efficient Intra-kernel Isolation and Communication. USENIX Annual Technical Conference. 401–417. 10 indexed citations

14.

Zhu, Ji, Hua Yang, Weiyao Lin, et al.. (2020). Group Re-Identification With Group Context Graph Neural Networks. IEEE Transactions on Multimedia. 23. 2614–2626. 28 indexed citations

15.

Han, Junwei, Hao Chen, Nian Liu, Chenggang Yan, & Xuelong Li. (2017). CNNs-Based RGB-D Saliency Detection via Cross-View Transfer and Multiview Fusion. IEEE Transactions on Cybernetics. 48(11). 3171–3183. 337 indexed citations breakdown →

16.

Liu, Nian & Junwei Han. (2017). PiCANet: Learning Pixel-wise Contextual Attention in ConvNets and Its Application in Saliency Detection.. arXiv (Cornell University). 2 indexed citations

17.

Zou, Xiangjun, Guichao Lin, Yunchao Tang, et al.. (2016). Sub-Pixel object-Image Registration Using Improved Iterative Closest Point Method. Journal of Computer-Aided Design & Computer Graphics. 28(8). 1249. 1 indexed citations

18.

Liu, Nian, Junwei Han, Tianming Liu, & Xuelong Li. (2016). Learning to Predict Eye Fixations via Multiresolution Convolutional Neural Networks. IEEE Transactions on Neural Networks and Learning Systems. 29(2). 392–404. 79 indexed citations

19.

Liu, Nian. (2009). Application of Risk Management in the Hydropower Engineering Construction. Industrial Safety and Environmental Protection.

20.

Liu, Nian. (2007). Brain Mapping with High-Resolution fMRI Technology. Methods in molecular biology. 401. 195–210. 2 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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