Bing Cao

1.4k total citations · 1 hit paper
34 papers, 866 citations indexed

About

Bing Cao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Bing Cao has authored 34 papers receiving a total of 866 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 7 papers in Media Technology. Recurrent topics in Bing Cao's work include Generative Adversarial Networks and Image Synthesis (7 papers), Advanced Image Fusion Techniques (6 papers) and Advanced Image and Video Retrieval Techniques (6 papers). Bing Cao is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (7 papers), Advanced Image Fusion Techniques (6 papers) and Advanced Image and Video Retrieval Techniques (6 papers). Bing Cao collaborates with scholars based in China, United States and South Korea. Bing Cao's co-authors include Qinghua Hu, Pengfei Zhu, Yiming Sun, Xinbo Gao, Nannan Wang, Jie Li, Nannan Wang, Dinggang Shen, Junliang Guo and Han Zhang and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Medical Imaging and Pattern Recognition.

In The Last Decade

Bing Cao

31 papers receiving 844 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.

Drone-Based RGB-Infrared Cross-Modality Vehicle Detection Via Uncertainty-Aware Learning

2022 295 citations Yiming Sun, Bing Cao et al. IEEE Transactions on Circuits and Systems for Video Technology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bing Cao China	15	593	239	225	122	60	34	866
Wei-Chen Chiu Taiwan	16	873 1.5×	166 0.7×	145 0.6×	242 2.0×	37 0.6×	55	1.1k
Qiong Liu China	14	525 0.9×	102 0.4×	164 0.7×	109 0.9×	42 0.7×	67	676
Sheng Guo China	13	453 0.8×	116 0.5×	130 0.6×	160 1.3×	74 1.2×	26	649
Zhao Pei China	13	392 0.7×	113 0.5×	121 0.5×	95 0.8×	55 0.9×	60	634
Jérôme Revaud South Korea	11	867 1.5×	99 0.4×	277 1.2×	160 1.3×	35 0.6×	21	1.0k
Wei Lian China	13	318 0.5×	87 0.4×	122 0.5×	86 0.7×	58 1.0×	42	519
François Rameau South Korea	13	555 0.9×	104 0.4×	142 0.6×	245 2.0×	56 0.9×	29	743
Yongsheng Dong China	17	397 0.7×	208 0.9×	49 0.2×	111 0.9×	88 1.5×	58	700
Jiexin Pu China	13	387 0.7×	102 0.4×	71 0.3×	126 1.0×	100 1.7×	72	672
Tian Pu China	14	249 0.4×	265 1.1×	274 1.2×	230 1.9×	154 2.6×	52	825

Countries citing papers authored by Bing Cao

Since Specialization

Citations

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

Fields of papers citing papers by Bing Cao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bing Cao

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

Zhu, Pengfei, et al.. (2025). Unknown Support Prototype Set for Open Set Recognition. International Journal of Computer Vision. 133(7). 4366–4383.

Cao, Bing, et al.. (2025). RTF: Recursive TransFusion for Multi-Modal Image Synthesis. IEEE Transactions on Image Processing. 34. 1573–1587.

Cao, Bing, et al.. (2025). CharacterFactory: Sampling Consistent Characters With GANs for Diffusion Models. IEEE Transactions on Image Processing. 34. 2544–2559. 1 indexed citations

Cao, Bing, et al.. (2024). LiDAR-Camera Continuous Fusion in Voxelized Grid for Semantic Scene Completion. IEEE Transactions on Circuits and Systems for Video Technology. 34(12). 12330–12344. 3 indexed citations

Xu, Yi, Fu Li, Bing Cao, et al.. (2024). Spectral transfer-learning-based metasurface design assisted by complex-valued deep neural network. Advanced Photonics Nexus. 3(2). 10 indexed citations

Cao, Bing, Junliang Guo, Pengfei Zhu, & Qinghua Hu. (2024). Bi-directional Adapter for Multimodal Tracking. Proceedings of the AAAI Conference on Artificial Intelligence. 38(2). 927–935. 48 indexed citations

Sun, Yang, et al.. (2024). Task-Customized Mixture of Adapters for General Image Fusion. 7099–7108. 29 indexed citations

Cao, Bing, et al.. (2024). Geometry-semantic aware for monocular 3D Semantic Scene Completion. Pattern Recognition. 158. 111030–111030.

Cao, Bing, Pengfei Zhu, Qinghua Hu, et al.. (2023). Multi-View Knowledge Ensemble With Frequency Consistency for Cross-Domain Face Translation. IEEE Transactions on Neural Networks and Learning Systems. 35(7). 9728–9742. 11 indexed citations

10.

Gao, Feng, et al.. (2023). Deep Attention-Guided Spatial–Spectral Network for Hyperspectral Image Unmixing. IEEE Geoscience and Remote Sensing Letters. 21. 1–5. 3 indexed citations

11.

Cao, Bing, et al.. (2023). Autoencoder-Based Collaborative Attention GAN for Multi-Modal Image Synthesis. IEEE Transactions on Multimedia. 26. 995–1010. 12 indexed citations

12.

Cao, Bing, et al.. (2022). Learning a Prototype Discriminator With RBF for Multimodal Image Synthesis. IEEE Transactions on Image Processing. 31. 6664–6678. 8 indexed citations

13.

Zhu, Pengfei, et al.. (2022). Self-Supervised Fully Automatic Learning Machine for Intelligent Retail Container. IEEE Transactions on Instrumentation and Measurement. 71. 1–15. 2 indexed citations

14.

Sun, Yiming, Bing Cao, Pengfei Zhu, & Qinghua Hu. (2022). Drone-Based RGB-Infrared Cross-Modality Vehicle Detection Via Uncertainty-Aware Learning. IEEE Transactions on Circuits and Systems for Video Technology. 32(10). 6700–6713. 295 indexed citations breakdown →

15.

Sun, Yiming, Bing Cao, Pengfei Zhu, & Qinghua Hu. (2022). DetFusion: A Detection-driven Infrared and Visible Image Fusion Network. Proceedings of the 30th ACM International Conference on Multimedia. 4003–4011. 84 indexed citations

16.

Li, Xiaoming, et al.. (2022). Semantic-shape Adaptive Feature Modulation for Semantic Image Synthesis. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 11204–11213. 14 indexed citations

17.

Cao, Bing, Nannan Wang, Jie Li, Qinghua Hu, & Xinbo Gao. (2021). Face photo-sketch synthesis via full-scale identity supervision. Pattern Recognition. 124. 108446–108446. 22 indexed citations

18.

Cao, Bing, Han Zhang, Nannan Wang, Xinbo Gao, & Dinggang Shen. (2020). Auto-GAN: Self-Supervised Collaborative Learning for Medical Image Synthesis. Proceedings of the AAAI Conference on Artificial Intelligence. 34(7). 10486–10493. 55 indexed citations

19.

Yang, Erkun, Dongren Yao, Bing Cao, et al.. (2020). Deep Disentangled Hashing with Momentum Triplets for Neuroimage Search. Lecture notes in computer science. 12261. 191–201. 1 indexed citations

20.

Cao, Bing, Nannan Wang, Jie Li, & Xinbo Gao. (2018). Data Augmentation-Based Joint Learning for Heterogeneous Face Recognition. IEEE Transactions on Neural Networks and Learning Systems. 30(6). 1731–1743. 56 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