Li Niu

3.4k total citations
96 papers, 1.5k citations indexed

About

Li Niu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Li Niu has authored 96 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Computer Vision and Pattern Recognition, 33 papers in Artificial Intelligence and 13 papers in Electrical and Electronic Engineering. Recurrent topics in Li Niu's work include Multimodal Machine Learning Applications (22 papers), Advanced Image and Video Retrieval Techniques (19 papers) and Domain Adaptation and Few-Shot Learning (18 papers). Li Niu is often cited by papers focused on Multimodal Machine Learning Applications (22 papers), Advanced Image and Video Retrieval Techniques (19 papers) and Domain Adaptation and Few-Shot Learning (18 papers). Li Niu collaborates with scholars based in China, Singapore and United States. Li Niu's co-authors include Liqing Zhang, Jianfu Zhang, Dong Xu, Wen Li, Jiangtong Li, Ashok Veeraraghavan, Wenyan Cong, Ming Yang, Dianguo Xu and Liu Liu and has published in prestigious journals such as Environmental Science & Technology, Water Research and IEEE Transactions on Power Electronics.

In The Last Decade

Li Niu

87 papers receiving 1.5k citations

Peers

Li Niu
Mingyuan Zhang China
Mingfei Gao China
Ning Yu China
Runlong Xia China
Yigang Cen China
Xiaofeng Zhang China
Dongliang Chang China
Yuji Iwahori Japan
Mingliang Zhou China
Hongyu Liu China
Mingyuan Zhang China
Li Niu
Citations per year, relative to Li Niu Li Niu (= 1×) peers Mingyuan Zhang

Countries citing papers authored by Li Niu

Since Specialization
Citations

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

Fields of papers citing papers by Li Niu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Niu

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

All Works

20 of 20 papers shown
1.
2.
Niu, Li, Yan Hong, Junyan Cao, & Liqing Zhang. (2024). Progressive Painterly Image Harmonization from Low-Level Styles to High-Level Styles. Proceedings of the AAAI Conference on Artificial Intelligence. 38(5). 4352–4360. 1 indexed citations
3.
Cao, Junyan, et al.. (2024). Shadow Generation with Decomposed Mask Prediction and Attentive Shadow Filling. Proceedings of the AAAI Conference on Artificial Intelligence. 38(6). 5198–5206. 3 indexed citations
4.
5.
Niu, Li, et al.. (2024). WeditGAN: Few-Shot Image Generation via Latent Space Relocation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(2). 1653–1661. 4 indexed citations
6.
Niu, Li, Junyan Cao, Hong Yan, & Liqing Zhang. (2024). Painterly Image Harmonization by Learning from Painterly Objects. Proceedings of the AAAI Conference on Artificial Intelligence. 38(5). 4343–4351. 1 indexed citations
7.
Liu, Naihao, et al.. (2023). Object Part Parsing with Hierarchical Dual Transformer. 2016–2024. 1 indexed citations
8.
Chen, Junjie, et al.. (2023). Amodal Instance Segmentation via Prior-Guided Expansion. Proceedings of the AAAI Conference on Artificial Intelligence. 37(1). 313–321. 8 indexed citations
9.
Niu, Li, Shengwei Zhong, Zhiyu Yang, et al.. (2023). Mask refinement network for tooth segmentation on panoramic radiographs. Dentomaxillofacial Radiology. 53(2). 127–136. 3 indexed citations
10.
He, Lu, et al.. (2022). Diverse image inpainting with disentangled uncertainty. Pattern Recognition. 137. 109243–109243. 5 indexed citations
11.
Makihara, Yasushi, Daigo Muramatsu, Jianfu Zhang, et al.. (2021). Learn to Walk Across Ages: Motion Augmented Multi-Age Group Gait Video Translation. IEEE Access. 9. 40550–40559. 4 indexed citations
12.
Li, Bo, Li Niu, Xin Huang, & Hongwei Ding. (2020). Mobility Prediction Based Computation Offloading Handoff Strategy for Vehicular Edge Computing. 电子与信息学报. 42(11). 2664–2670. 1 indexed citations
13.
Hong, Yan, Li Niu, Jianfu Zhang, & Liqing Zhang. (2020). Matchinggan: Matching-Based Few-Shot Image Generation. 1–6. 35 indexed citations
14.
Tu, Yi, Li Niu, Weijie Zhao, Dawei Cheng, & Liqing Zhang. (2020). Image Cropping with Composition and Saliency Aware Aesthetic Score Map. Proceedings of the AAAI Conference on Artificial Intelligence. 34(7). 12104–12111. 35 indexed citations
15.
Niu, Li, et al.. (2019). Hard Pixels Mining: Learning Using Privileged Information for Semantic Segmentation.. arXiv (Cornell University). 2 indexed citations
16.
Niu, Li, et al.. (2019). FaceEngage: Robust Estimation of Gameplay Engagement from User-Contributed (YouTube) Videos. IEEE Transactions on Affective Computing. 13(2). 651–665. 24 indexed citations
17.
Cong, Wenyan, Jianfu Zhang, Li Niu, et al.. (2019). Deep Image Harmonization via Domain Verification.. arXiv (Cornell University). 1 indexed citations
18.
Tu, Yi, Li Niu, Dawei Cheng, & Liqing Zhang. (2019). ProtoNet: Learning from Web Data with Memory. arXiv (Cornell University). 1 indexed citations
19.
Tu, Yi, et al.. (2019). Learning from Web Data with Memory Module. arXiv (Cornell University).
20.
Niu, Li, Wen Li, & Dong Xu. (2015). Multi-view Domain Generalization for Visual Recognition. 4193–4201. 42 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Mingyuan Zhang Breakdown of academic impact, for papers by Mingfei Gao Breakdown of academic impact, for papers by Ning Yu Breakdown of academic impact, for papers by Runlong Xia Breakdown of academic impact, for papers by Yigang Cen Breakdown of academic impact, for papers by Xiaofeng Zhang Breakdown of academic impact, for papers by Dongliang Chang Breakdown of academic impact, for papers by Yuji Iwahori Breakdown of academic impact, for papers by Mingliang Zhou Breakdown of academic impact, for papers by Hongyu Liu
Rankless by CCL
2026