Nayu Liu

400 total citations
21 papers, 236 citations indexed

About

Nayu Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Nayu Liu has authored 21 papers receiving a total of 236 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 4 papers in Signal Processing. Recurrent topics in Nayu Liu's work include Multimodal Machine Learning Applications (10 papers), Video Analysis and Summarization (6 papers) and Topic Modeling (5 papers). Nayu Liu is often cited by papers focused on Multimodal Machine Learning Applications (10 papers), Video Analysis and Summarization (6 papers) and Topic Modeling (5 papers). Nayu Liu collaborates with scholars based in China, Germany and Japan. Nayu Liu's co-authors include Xian Sun, Hongfeng Yu, Fanglong Yao, Guangluan Xu, Wenkai Zhang, Wanxuan Lu, Kun Fu, Peiguang Li, Naoto Yokoya and Ronny Hänsch and has published in prestigious journals such as Nature Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Nayu Liu

18 papers receiving 232 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nayu Liu China 8 130 107 42 19 19 21 236
Nan Pu China 14 340 2.6× 175 1.6× 21 0.5× 7 0.4× 12 0.6× 33 464
Damayanthi Herath Sri Lanka 8 53 0.4× 63 0.6× 12 0.3× 3 0.2× 6 0.3× 17 263
Huibin Wang China 8 144 1.1× 40 0.4× 39 0.9× 5 0.3× 8 0.4× 65 278
Wenqi Shao China 10 121 0.9× 97 0.9× 17 0.4× 3 0.2× 9 0.5× 37 231
Ziyan Wang China 9 98 0.8× 38 0.4× 15 0.4× 3 0.2× 6 0.3× 26 186
Ewa Kijak France 11 291 2.2× 59 0.6× 59 1.4× 2 0.1× 96 5.1× 32 360
Khurram Azeem Hashmi Germany 8 153 1.2× 35 0.3× 34 0.8× 4 0.2× 2 0.1× 19 209
Josip Krapac Croatia 6 232 1.8× 93 0.9× 54 1.3× 8 0.4× 13 288

Countries citing papers authored by Nayu Liu

Since Specialization
Citations

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

Fields of papers citing papers by Nayu Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nayu Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Nayu Liu. A scholar is included among the top collaborators of Nayu 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 Nayu Liu. Nayu Liu 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.
Yao, Fanglong, Youzhi Liu, Wenyi Zhang, et al.. (2025). AeroVerse-Review: Comprehensive survey on aerial embodied vision-and-language navigation. 1(1). 100015–100015.
2.
Zhang, Linhao, Guangluan Xu, Xiaoyu Li, et al.. (2024). CAMEL: Capturing Metaphorical Alignment with Context Disentangling for Multimodal Emotion Recognition. Proceedings of the AAAI Conference on Artificial Intelligence. 38(8). 9341–9349. 3 indexed citations
3.
Liu, Nayu, Yong Yang, Jianhua Tao, et al.. (2024). Multimodal Cross-Lingual Summarization for Videos: A Revisit in Knowledge Distillation Induced Triple-Stage Training Method. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(12). 10697–10714. 3 indexed citations
4.
Liu, Nayu, et al.. (2024). DuaPIN: Auxiliary task enhanced dual path interaction network for civil court view generation. Knowledge-Based Systems. 295. 111728–111728.
5.
Li, Jin, Jian Liu, Linhao Zhang, et al.. (2024). Video Event Extraction with Multi-View Interaction Knowledge Distillation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(17). 19224–19233. 2 indexed citations
6.
Yu, Hongfeng, Nayu Liu, Fanglong Yao, et al.. (2023). GAL: Graph-Induced Adaptive Learning for Weakly Supervised 3D Object Detection. IEEE Transactions on Intelligent Transportation Systems. 24(9). 9684–9697. 2 indexed citations
7.
Liu, Nayu, Xian Sun, Hongfeng Yu, et al.. (2023). M2DCapsN: Multimodal, Multichannel, and Dual-Step Capsule Network for Natural Language Moment Localization. IEEE Transactions on Neural Networks and Learning Systems. 35(8). 11448–11462. 4 indexed citations
8.
Yao, Fanglong, Wanxuan Lu, Hongfeng Yu, et al.. (2023). RingMo-Sense: Remote Sensing Foundation Model for Spatiotemporal Prediction via Spatiotemporal Evolution Disentangling. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–21. 23 indexed citations
9.
Sun, Xian, Fei Qin, Hongfeng Yu, et al.. (2023). Revealing influencing factors on global waste distribution via deep-learning based dumpsite detection from satellite imagery. Nature Communications. 14(1). 1444–1444. 61 indexed citations
10.
Zhang, Linhao, Jin Li, Guangluan Xu, et al.. (2023). TOT：Topology-Aware Optimal Transport for Multimodal Hate Detection. Proceedings of the AAAI Conference on Artificial Intelligence. 37(4). 4884–4892. 7 indexed citations
11.
Lv, Bo, et al.. (2023). DSP: Discriminative Soft Prompts for Zero-Shot Entity and Relation Extraction. 5491–5505. 5 indexed citations
12.
13.
Yu, Hongfeng, Fanglong Yao, Wanxuan Lu, et al.. (2022). Text-Image Matching for Cross-Modal Remote Sensing Image Retrieval via Graph Neural Network. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 16. 812–824. 30 indexed citations
14.
Liu, Nayu, Xian Sun, Hongfeng Yu, et al.. (2022). Abstractive Summarization for Video: A Revisit in Multistage Fusion Network With Forget Gate. IEEE Transactions on Multimedia. 25. 3296–3310. 12 indexed citations
15.
Liu, Nayu, Hongfeng Yu, Fanglong Yao, et al.. (2022). Assist Non-native Viewers: Multimodal Cross-Lingual Summarization for How2 Videos. 6959–6969. 6 indexed citations
16.
Liu, Nayu, et al.. (2022). ChipSong: A Controllable Lyric Generation System for Chinese Popular Song. 85–95. 3 indexed citations
17.
Zhang, Zequn, Xian Sun, Guangluan Xu, et al.. (2022). PolygonE: Modeling N-ary Relational Data as Gyro-Polygons in Hyperbolic Space. Proceedings of the AAAI Conference on Artificial Intelligence. 36(4). 4308–4317. 2 indexed citations
18.
Yao, Fanglong, et al.. (2022). Cross-Modal Remote Sensing Image Retrieval Via Intra- and Inter-Modal Feature Matching. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. 1792–1795. 1 indexed citations
19.
Liu, Nayu, Xian Sun, Hongfeng Yu, Wenkai Zhang, & Guangluan Xu. (2021). D-MmT: A concise decoder-only multi-modal transformer for abstractive summarization in videos. Neurocomputing. 456. 179–189. 12 indexed citations
20.
Liu, Nayu, Xian Sun, Hongfeng Yu, Wenkai Zhang, & Guangluan Xu. (2020). Multistage Fusion with Forget Gate for Multimodal Summarization in Open-Domain Videos. 1834–1845. 38 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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