Bing Liu

6.0k total citations · 1 hit paper
154 papers, 3.2k citations indexed

About

Bing Liu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Bing Liu has authored 154 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Artificial Intelligence, 73 papers in Computer Vision and Pattern Recognition and 15 papers in Information Systems. Recurrent topics in Bing Liu's work include Domain Adaptation and Few-Shot Learning (34 papers), Advanced Image and Video Retrieval Techniques (22 papers) and Topic Modeling (20 papers). Bing Liu is often cited by papers focused on Domain Adaptation and Few-Shot Learning (34 papers), Advanced Image and Video Retrieval Techniques (22 papers) and Topic Modeling (20 papers). Bing Liu collaborates with scholars based in China, United States and Singapore. Bing Liu's co-authors include Ian Lane, Yong Zhou, Jiaqi Zhao, Philip S. Yu, Xiaoli Li, Wee Sun Lee, Rui Yao, Minqing Hu, Hu Xu and Lei Shu and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Biochemical Journal and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Bing Liu

140 papers receiving 3.0k citations

Hit Papers

Attention-Based Recurrent Neural Network Models for Joint... 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bing Liu China 27 1.9k 944 408 287 150 154 3.2k
Zhengtao Yu China 27 1.2k 0.7× 1.4k 1.5× 304 0.7× 556 1.9× 61 0.4× 226 3.3k
Cheng-Lung Huang Taiwan 13 1.4k 0.8× 464 0.5× 342 0.8× 110 0.4× 181 1.2× 21 3.0k
George D. C. Cavalcanti Brazil 28 1.7k 0.9× 790 0.8× 345 0.8× 170 0.6× 78 0.5× 186 2.9k
Ethem Alpaydın Türkiye 24 1.6k 0.8× 1.3k 1.4× 180 0.4× 263 0.9× 291 1.9× 80 3.1k
Liping Jing China 24 1.5k 0.8× 806 0.9× 452 1.1× 130 0.5× 123 0.8× 137 2.2k
Xiao Wang China 33 960 0.5× 1.7k 1.8× 467 1.1× 214 0.7× 317 2.1× 183 3.5k
Sebastián Maldonado Chile 27 1.7k 0.9× 708 0.8× 275 0.7× 82 0.3× 245 1.6× 106 3.2k
Fanzhang Li China 23 906 0.5× 1.1k 1.2× 168 0.4× 308 1.1× 156 1.0× 139 2.3k
Andrew B. Goldberg United States 17 1.8k 0.9× 871 0.9× 316 0.8× 119 0.4× 198 1.3× 35 3.0k

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

20 of 20 papers shown
1.
Yao, Rui, Anqi Zhang, Yong Zhou, et al.. (2025). Adversarial Geometric Attacks for 3D Point Cloud Object Tracking. IEEE Transactions on Multimedia. 27. 3144–3157.
2.
Du, Wenli, et al.. (2024). Differential privacy distributed optimization algorithm against adversarial attacks for efficiency optimization of complex industrial processes. Advanced Engineering Informatics. 62. 102662–102662. 2 indexed citations
3.
Liu, Hao, Yong Zhou, Bing Liu, Ming Yan, & Joey Tianyi Zhou. (2024). L2A: Learning Affinity From Attention for Weakly Supervised Continual Semantic Segmentation. IEEE Transactions on Circuits and Systems for Video Technology. 35(1). 315–328. 2 indexed citations
4.
Li, Shenglan, Rui Yao, Yong Zhou, et al.. (2023). Unsupervised RGB-T object tracking with attentional multi-modal feature fusion. Multimedia Tools and Applications. 82(15). 23595–23613. 4 indexed citations
5.
Shao, Zhiwen, Yuchen Su, Yong Zhou, et al.. (2023). CT-Net: Arbitrary-Shaped Text Detection via Contour Transformer. IEEE Transactions on Circuits and Systems for Video Technology. 34(3). 1815–1826. 13 indexed citations
6.
Liu, Bing, et al.. (2023). Diverse Image Captioning via Conditional Variational Autoencoder and Dual Contrastive Learning. ACM Transactions on Multimedia Computing Communications and Applications. 20(1). 1–16. 9 indexed citations
7.
Yao, Rui, et al.. (2023). Black-box Attack against Self-supervised Video Object Segmentation Models with Contrastive Loss. ACM Transactions on Multimedia Computing Communications and Applications. 20(2). 1–21. 2 indexed citations
8.
Hu, Xu, et al.. (2022). Adapting a Language Model While Preserving its General Knowledge. 10177–10188. 4 indexed citations
9.
Su, Yuchen, Zhiwen Shao, Yong Zhou, et al.. (2022). TextDCT: Arbitrary-Shaped Text Detection via Discrete Cosine Transform Mask. IEEE Transactions on Multimedia. 25. 5030–5042. 14 indexed citations
10.
Zhang, Man, Yong Zhou, Bing Liu, et al.. (2022). Weakly Supervised Few-Shot Semantic Segmentation via Pseudo Mask Enhancement and Meta Learning. IEEE Transactions on Multimedia. 25. 7980–7991. 10 indexed citations
11.
He, Xin, Yong Zhou, Jiaqi Zhao, et al.. (2021). Semantic Segmentation of Remote-Sensing Images Based on Multiscale Feature Fusion and Attention Refinement. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 16 indexed citations
12.
He, Tianxing, Jun Liu, Kyunghyun Cho, et al.. (2021). Analyzing the Forgetting Problem in Pretrain-Finetuning of Open-domain Dialogue Response Models. 1121–1133. 22 indexed citations
13.
Liu, Xuning, et al.. (2019). Siamese Convolutional Neural Networks for Remote Sensing Scene Classification. IEEE Geoscience and Remote Sensing Letters. 16(8). 1200–1204. 146 indexed citations
14.
Liu, Xuning, Yong Zhou, Jiaqi Zhao, et al.. (2019). Multiobjective ResNet pruning by means of EMOAs for remote sensing scene classification. Neurocomputing. 381. 298–305. 30 indexed citations
15.
Liu, Bing & Ian Lane. (2016). Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling. 685–689. 378 indexed citations breakdown →
16.
Liu, Bing & Cas Key. (2013). Genesis and geological significances of Neoproterozoic granitoids in the North Qinling terrain,SW Henan,China. Acta Petrologica Sinica. 25 indexed citations
17.
Liu, Bing, et al.. (2013). Design and implementation of UAV original images quick mosaicing system. 38(5). 170–171. 1 indexed citations
18.
Liu, Bing. (2007). Correlation Between Tongbai and Western Dabie Orogenic Belts. Acta Geological Sinica. 2 indexed citations
19.
Mobasher, Bamshad, Olfa Nasraoui, Bing Liu, & Brij Masand. (2006). Advances in Web Mining and Web Usage Analysis: 6th International Workshop on Knowledge Discovery on the Web, WEBKDD 2004Seattle, WA, USA, August 22-25, ... Papers (Lecture Notes in Computer Science). 1 indexed citations
20.
Hu, Minqing & Bing Liu. (2006). Opinion extraction and summarization on the web. National Conference on Artificial Intelligence. 1621–1624. 83 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

Rankless by CCL
2026