Bing Liu

5.4k total citations · 2 hit papers
105 papers, 3.8k citations indexed

About

Bing Liu is a scholar working on Media Technology, Atmospheric Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Bing Liu has authored 105 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Media Technology, 49 papers in Atmospheric Science and 36 papers in Computer Vision and Pattern Recognition. Recurrent topics in Bing Liu's work include Remote-Sensing Image Classification (59 papers), Remote Sensing and Land Use (49 papers) and Advanced Image Fusion Techniques (17 papers). Bing Liu is often cited by papers focused on Remote-Sensing Image Classification (59 papers), Remote Sensing and Land Use (49 papers) and Advanced Image Fusion Techniques (17 papers). Bing Liu collaborates with scholars based in China, United States and Singapore. Bing Liu's co-authors include Xuchu Yu, Wynne Hsu, Anzhu Yu, Yiming Ma, Pengqiang Zhang, Kuiliang Gao, Philip S. Yu, Ruirui Wang, Zehui Zhang and Xiong Tan and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and Journal of Catalysis.

In The Last Decade

Bing Liu

96 papers receiving 3.6k citations

Hit Papers

align trajectories

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.

Deep Few-Shot Learning for Hyperspectral Image Classification

2018 330 citations Bing Liu, Xuchu Yu et al. IEEE Transactions on Geoscience and Remote Sensing profile →
Joint Spatio-Temporal Modeling for Semantic Change Detection in Remote Sensing Images

2024 59 citations Lei Ding, Jing Zhang et al. IEEE Transactions on Geoscience and Remote Sensing profile →

Peers

Bing Liu

MT

AI

AS

IS

CVPR

Salvatore Distefano Italy

Jiao Shi China

Zhiqiang Wei China

Jianping Pan Canada

Jinjiang Li China

Xiaofeng Zhang China

Sigeru Omatu Japan

Mingjing Li China

Peng Li China

Renchu Guan China

Salvatore Distefano Italy

Bing Liu

774 ×0.5

MT

367 ×0.3

AI

358 ×0.4

AS

686 ×0.8

IS

547 ×0.6

CVPR

Citations per year, relative to Bing Liu Bing Liu (= 1×) peers Salvatore Distefano

Countries citing papers authored by Bing Liu

Since Specialization

Citations

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

Fields of papers citing papers by Bing Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bing Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Bing Liu. A scholar is included among the top collaborators of Bing 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 Bing Liu. Bing 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

1.

Yu, Anzhu, Kuiliang Gao, Xiong You, et al.. (2025). Rethinking Semantic Segmentation With Multi-Grained Logical Prototype. IEEE Transactions on Image Processing. 34. 1469–1484. 1 indexed citations

2.

Xue, Zhixiang, et al.. (2024). Multimodal self-supervised learning for remote sensing data land cover classification. Pattern Recognition. 157. 110959–110959. 15 indexed citations

3.

Zhang, Xianhe, et al.. (2024). DCTransformer: A Channel Attention Combined Discrete Cosine Transform to Extract Spatial–Spectral Feature for Hyperspectral Image Classification. Applied Sciences. 14(5). 1701–1701. 5 indexed citations

4.

Jin, Fei, et al.. (2024). Multitask Siamese Network Guided by Enhanced Change Information for Semantic Change Detection in Bitemporal Remote Sensing Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 61–77. 6 indexed citations

5.

Ding, Lei, Jing Zhang, Haitao Guo, et al.. (2024). Joint Spatio-Temporal Modeling for Semantic Change Detection in Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–14. 59 indexed citations breakdown →

6.

Qiu, Chunping, et al.. (2023). Multi-Task Learning for Building Extraction and Change Detection from Remote Sensing Images. Applied Sciences. 13(2). 1037–1037. 13 indexed citations

7.

Zhang, Pengjie, Bing Liu, Xihui Mu, et al.. (2023). Performance of Classification Models of Toxins Based on Raman Spectroscopy Using Machine Learning Algorithms. Molecules. 29(1). 197–197. 4 indexed citations

8.

Liu, Wenkai, et al.. (2023). Masked Graph Convolutional Network for Small Sample Classification of Hyperspectral Images. Remote Sensing. 15(7). 1869–1869. 12 indexed citations

9.

Gao, Kuiliang, Anzhu Yu, Xiong You, et al.. (2023). Learning General-Purpose Representations for Cross-Domain Hyperspectral Images Classification with Small Samples. Remote Sensing. 15(4). 1080–1080. 5 indexed citations

10.

Gao, Kuiliang, Anzhu Yu, Xiong You, Chunping Qiu, & Bing Liu. (2023). Prototype and Context-Enhanced Learning for Unsupervised Domain Adaptation Semantic Segmentation of Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–16. 21 indexed citations

11.

Gao, Kuiliang, et al.. (2023). Cross-Domain Multi-Prototypes with Contradictory Structure Learning for Semi-Supervised Domain Adaptation Segmentation of Remote Sensing Images. Remote Sensing. 15(13). 3398–3398. 4 indexed citations

12.

Liu, Bing, Kuiliang Gao, Anzhu Yu, et al.. (2022). ES2FL: Ensemble Self-Supervised Feature Learning for Small Sample Classification of Hyperspectral Images. Remote Sensing. 14(17). 4236–4236. 14 indexed citations

13.

Liu, Bing, Anzhu Yu, Kuiliang Gao, et al.. (2022). DSS-TRM: deep spatial–spectral transformer for hyperspectral image classification. European Journal of Remote Sensing. 55(1). 103–114. 42 indexed citations

14.

Gao, Kuiliang, Bing Liu, Xuchu Yu, & Anzhu Yu. (2022). Unsupervised Meta Learning With Multiview Constraints for Hyperspectral Image Small Sample set Classification. IEEE Transactions on Image Processing. 31. 3449–3462. 59 indexed citations

15.

Ding, Lei, et al.. (2021). MP-ResNet: Multipath Residual Network for the Semantic Segmentation of High-Resolution PolSAR Images. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 42 indexed citations

16.

Gao, Kuiliang, et al.. (2020). Deep Relation Network for Hyperspectral Image Few-Shot Classification. Remote Sensing. 12(6). 923–923. 146 indexed citations

17.

Gao, Kuiliang, Wenyue Guo, Xuchu Yu, et al.. (2020). Deep Induction Network for Small Samples Classification of Hyperspectral Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13. 3462–3477. 32 indexed citations

18.

Mukherjee, Arjun & Bing Liu. (2012). Modeling Review Comments. Meeting of the Association for Computational Linguistics. 320–329. 36 indexed citations

19.

Wang, Guan, Sihong Xie, Bing Liu, & Philip S. Yu. (2011). Review Graph Based Online Store Review Spammer Detection. 1242–1247. 243 indexed citations

20.

Liu, Bing, Minqing Hu, & Wynne Hsu. (2000). Intuitive Representation of Decision Trees Using General Rules and Exceptions. National Conference on Artificial Intelligence. 615–620. 21 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