Baodi Liu

1.8k total citations
161 papers, 1.2k citations indexed

About

Baodi Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Baodi Liu has authored 161 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Computer Vision and Pattern Recognition, 64 papers in Artificial Intelligence and 51 papers in Media Technology. Recurrent topics in Baodi Liu's work include Domain Adaptation and Few-Shot Learning (43 papers), Advanced Image and Video Retrieval Techniques (40 papers) and Remote-Sensing Image Classification (39 papers). Baodi Liu is often cited by papers focused on Domain Adaptation and Few-Shot Learning (43 papers), Advanced Image and Video Retrieval Techniques (40 papers) and Remote-Sensing Image Classification (39 papers). Baodi Liu collaborates with scholars based in China, United States and Macao. Baodi Liu's co-authors include Weifeng Liu, Yanjiang Wang, Bin Shen, Shuai Shao, Yu-Xiong Wang, Yujin Zhang, Rui Xu, Xue Li, Yu‐Jin Zhang and Dapeng Tao and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and IEEE Access.

In The Last Decade

Baodi Liu

142 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Baodi Liu China 18 670 438 416 137 102 161 1.2k
Zengmao Wang China 15 405 0.6× 490 1.1× 357 0.9× 140 1.0× 47 0.5× 46 1.1k
Yibing Zhan China 22 1.0k 1.5× 628 1.4× 230 0.6× 66 0.5× 119 1.2× 105 1.6k
Cong Bai China 24 878 1.3× 321 0.7× 266 0.6× 207 1.5× 35 0.3× 109 1.6k
Shiming Xiang China 7 668 1.0× 261 0.6× 363 0.9× 101 0.7× 120 1.2× 14 1.0k
Tianming Zhan China 17 381 0.6× 144 0.3× 497 1.2× 265 1.9× 83 0.8× 60 898
Jiayuan Fan China 19 477 0.7× 276 0.6× 303 0.7× 106 0.8× 46 0.5× 66 847
Jianwei Zheng China 17 632 0.9× 287 0.7× 721 1.7× 363 2.6× 183 1.8× 75 1.5k
Taiping Zhang China 17 818 1.2× 286 0.7× 550 1.3× 169 1.2× 72 0.7× 68 1.3k
Shibiao Xu China 20 919 1.4× 309 0.7× 486 1.2× 69 0.5× 58 0.6× 126 1.7k
Ruxin Wang China 16 851 1.3× 199 0.5× 470 1.1× 46 0.3× 70 0.7× 46 1.1k

Countries citing papers authored by Baodi Liu

Since Specialization
Citations

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

Fields of papers citing papers by Baodi Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baodi Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Baodi Liu. A scholar is included among the top collaborators of Baodi 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 Baodi Liu. Baodi 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.
Liu, Baodi, et al.. (2025). FSDMB: few-shot object detection via double matching branch. Multimedia Tools and Applications. 84(27). 33163–33182.
2.
3.
Liu, Weifeng, Jian Pang, Bingfeng Zhang, et al.. (2025). See Degraded Objects: A Physics-Guided Approach for Object Detection in Adverse Environments. IEEE Transactions on Image Processing. 34. 2198–2212.
4.
Liu, Xinchuan, et al.. (2025). Lesion Asymmetry Screening Assisted Global Awareness Multi-View Network for Mammogram Classification. IEEE Transactions on Medical Imaging. 45(2). 777–788.
5.
Xu, Renjie, Baodi Liu, Kai Zhang, et al.. (2025). Noise-Robust Few-Shot Classification via Variational Adversarial Data Augmentation. Computational Visual Media. 11(1). 227–239.
6.
Liu, Weifeng, et al.. (2024). Multi-scale region selection network in deep features for full-field mammogram classification. Medical Image Analysis. 100. 103399–103399. 4 indexed citations
7.
Liu, Baodi, et al.. (2024). Few-shot image classification via hybrid representation. Pattern Recognition. 155. 110640–110640. 7 indexed citations
8.
Yang, Xinghao, et al.. (2024). Weight Saliency search with Semantic Constraint for Neural Machine Translation attacks. Pattern Recognition Letters. 184. 7–13. 1 indexed citations
9.
Liu, Weifeng, et al.. (2024). IW-ViT: Independence-Driven Weighting Vision Transformer for out-of-distribution generalization. Pattern Recognition. 161. 111308–111308.
10.
Li, Wei, et al.. (2024). An Ultralightweight Hybrid CNN Based on Redundancy Removal for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–12. 15 indexed citations
11.
Ren, Peng, et al.. (2024). Dual-Branch Feature Fusion Network Based Cross-Modal Enhanced CNN and Transformer for Hyperspectral and LiDAR Classification. IEEE Geoscience and Remote Sensing Letters. 21. 1–5. 13 indexed citations
12.
Zhang, Li, Sichao Fu, Peng Ren, et al.. (2024). Gradient Guided Multiscale Feature Collaboration Networks for Few-Shot Class-Incremental Remote Sensing Scene Classification. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–12. 6 indexed citations
13.
Zhang, Li, Sichao Fu, Peng Ren, et al.. (2024). Toward Cross-Domain Class-Incremental Remote Sensing Scene Classification. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–13. 1 indexed citations
14.
Xu, Rui, et al.. (2023). CSN: Component supervised network for few-shot classification. Engineering Applications of Artificial Intelligence. 124. 106640–106640. 6 indexed citations
15.
Meng, Junmin, et al.. (2023). Dictionary Learning for Few-Shot Remote Sensing Scene Classification. Remote Sensing. 15(3). 773–773. 5 indexed citations
16.
Tang, Jun, Baodi Liu, Wenhui Guo, & Yanjiang Wang. (2022). Two-stream temporal enhanced Fisher vector encoding for skeleton-based action recognition. Complex & Intelligent Systems. 9(3). 3147–3159. 1 indexed citations
17.
Wang, Jiayan, et al.. (2022). Class-Shared SparsePCA for Few-Shot Remote Sensing Scene Classification. Remote Sensing. 14(10). 2304–2304. 6 indexed citations
18.
Guo, Wenhui, et al.. (2022). Hyperspectral Image Classification Using CNN-Enhanced Multi-Level Haar Wavelet Features Fusion Network. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 29 indexed citations
19.
Xu, Rui, et al.. (2022). GCT: Graph Co-Training for Semi-Supervised Few-Shot Learning. IEEE Transactions on Circuits and Systems for Video Technology. 32(12). 8674–8687. 21 indexed citations
20.
Shao, Shuai, et al.. (2021). MDFM: Multi-Decision Fusing Model for Few-Shot Learning. IEEE Transactions on Circuits and Systems for Video Technology. 32(8). 5151–5162. 35 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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