Liu Liu

807 total citations
43 papers, 480 citations indexed

About

Liu Liu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Liu Liu has authored 43 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 17 papers in Computer Vision and Pattern Recognition and 8 papers in Computer Networks and Communications. Recurrent topics in Liu Liu's work include Multimodal Machine Learning Applications (10 papers), Domain Adaptation and Few-Shot Learning (10 papers) and Advanced Graph Neural Networks (4 papers). Liu Liu is often cited by papers focused on Multimodal Machine Learning Applications (10 papers), Domain Adaptation and Few-Shot Learning (10 papers) and Advanced Graph Neural Networks (4 papers). Liu Liu collaborates with scholars based in China, Australia and Hong Kong. Liu Liu's co-authors include Dacheng Tao, Fuqiang Zhou, Yuzhu He, Jun Cheng, Fusheng Hao, Baosheng Yu, Yibing Zhan, Fengxiang He, Kailing Guo and Xiangmin Xu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and International Journal of Computer Vision.

In The Last Decade

Liu Liu

39 papers receiving 473 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liu Liu China 14 212 203 55 48 47 43 480
Pitikhate Sooraksa Thailand 14 94 0.4× 124 0.6× 80 1.5× 26 0.5× 42 0.9× 84 500
Pramuditha Perera United States 10 461 2.2× 222 1.1× 101 1.8× 32 0.7× 56 1.2× 27 659
Zi-Rui Wang China 11 374 1.8× 294 1.4× 71 1.3× 73 1.5× 14 0.3× 23 661
Chandranath Adak India 10 211 1.0× 198 1.0× 11 0.2× 62 1.3× 114 2.4× 36 452
Patrick Marques Ciarelli Brazil 12 210 1.0× 102 0.5× 37 0.7× 16 0.3× 18 0.4× 60 451
Caixia Yan China 11 241 1.1× 325 1.6× 28 0.5× 36 0.8× 13 0.3× 20 556
Tailin Liang China 2 230 1.1× 247 1.2× 40 0.7× 25 0.5× 16 0.3× 4 513
Esteban J. Palomo Spain 13 145 0.7× 207 1.0× 57 1.0× 42 0.9× 12 0.3× 47 430
Mukul Sutaone India 10 124 0.6× 163 0.8× 56 1.0× 28 0.6× 11 0.2× 66 487
Shi Shao-bo China 5 236 1.1× 248 1.2× 40 0.7× 25 0.5× 16 0.3× 9 562

Countries citing papers authored by Liu Liu

Since Specialization
Citations

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

Fields of papers citing papers by Liu Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liu Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Liu Liu. A scholar is included among the top collaborators of Liu 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 Liu Liu. Liu 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.
Yang, Yan, et al.. (2024). Convolutional Masked Image Modeling for Dense Prediction Tasks on Pathology Images. ANU Open Research (Australian National University). 7783–7793.
2.
Su, Jiajun, et al.. (2024). Modality-Consistent Attention for Visible-Infrared Vehicle Re-Identification. IEEE Signal Processing Letters. 31. 1910–1914. 3 indexed citations
3.
Hao, Fusheng, Fengxiang He, Liu Liu, et al.. (2023). Class-Aware Patch Embedding Adaptation for Few-Shot Image Classification. 18859–18869. 27 indexed citations
4.
Liu, Liu, et al.. (2023). Trust-Region Adaptive Frequency for Online Continual Learning. International Journal of Computer Vision. 131(7). 1825–1839. 4 indexed citations
5.
Cheng, Jun, Fuxiang Wu, Liu Liu, et al.. (2023). InDecGAN: Learning to Generate Complex Images From Captions via Independent Object-Level Decomposition and Enhancement. IEEE Transactions on Multimedia. 25. 8279–8293.
6.
Liu, Liu, et al.. (2023). Overcoming Catastrophic Forgetting in Continual Learning by Exploring Eigenvalues of Hessian Matrix. IEEE Transactions on Neural Networks and Learning Systems. 35(11). 16196–16210. 14 indexed citations
7.
Shen, Li, Jiaxian Guo, Meng Fang, et al.. (2023). Prescribed Safety Performance Imitation Learning From a Single Expert Dataset. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(10). 12236–12249.
8.
Liu, Chuang, Yibing Zhan, Baosheng Yu, et al.. (2023). On exploring node-feature and graph-structure diversities for node drop graph pooling. Neural Networks. 167. 559–571. 11 indexed citations
9.
Wang, Zhen, et al.. (2022). SIN: Semantic Inference Network for Few-Shot Streaming Label Learning. IEEE Transactions on Neural Networks and Learning Systems. 34(12). 9952–9965. 8 indexed citations
10.
Wang, Zhen, et al.. (2022). Continual Learning through Retrieval and Imagination. Proceedings of the AAAI Conference on Artificial Intelligence. 36(8). 8594–8602. 13 indexed citations
11.
Wu, Fuxiang, Liu Liu, Fusheng Hao, Fengxiang He, & Jun Cheng. (2022). Language-Based Image Manipulation Built on Language-Guided Ranking. IEEE Transactions on Multimedia. 25. 6219–6231. 3 indexed citations
12.
Wan, Sheng, Yibing Zhan, Liu Liu, et al.. (2021). Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels. Griffith Research Online (Griffith University, Queensland, Australia). 34. 19 indexed citations
13.
Cheng, Jun, Fusheng Hao, Fengxiang He, Liu Liu, & Qieshi Zhang. (2021). Mixer-Based Semantic Spread for Few-Shot Learning. IEEE Transactions on Multimedia. 25. 191–202. 15 indexed citations
14.
Wang, Zhen, et al.. (2021). Multi-label Few-shot Learning with Semantic Inference (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence. 35(18). 15917–15918. 3 indexed citations
15.
Wang, Zhen, Liu Liu, & Dacheng Tao. (2020). Deep Streaming Label Learning. International Conference on Machine Learning. 1. 9963–9972. 14 indexed citations
16.
Yu, Bo, et al.. (2018). A survey of malware behavior description and analysis. Frontiers of Information Technology & Electronic Engineering. 19(5). 583–603. 32 indexed citations
17.
Shahriar, Nashid, Shihabur Rahman Chowdhury, Reaz Ahmed, et al.. (2017). Joint backup capacity allocation and embedding for survivable virtual networks. 1–9. 4 indexed citations
18.
Liu, Liu, Fuqiang Zhou, & Yuzhu He. (2015). Automated Visual Inspection System for Bogie Block Key Under Complex Freight Train Environment. IEEE Transactions on Instrumentation and Measurement. 65(1). 2–14. 58 indexed citations
19.
Liu, Liu, et al.. (2012). Influence of Matric Suction on Shear Strength Behavior of Unsaturated Silty Sand. Advanced materials research. 446-449. 1627–1632. 1 indexed citations
20.

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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