Bing‐Kun Bao

2.1k total citations · 1 hit paper
85 papers, 1.3k citations indexed

About

Bing‐Kun Bao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Bing‐Kun Bao has authored 85 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Computer Vision and Pattern Recognition, 23 papers in Artificial Intelligence and 10 papers in Information Systems. Recurrent topics in Bing‐Kun Bao's work include Advanced Image and Video Retrieval Techniques (23 papers), Multimodal Machine Learning Applications (18 papers) and Advanced Image Processing Techniques (13 papers). Bing‐Kun Bao is often cited by papers focused on Advanced Image and Video Retrieval Techniques (23 papers), Multimodal Machine Learning Applications (18 papers) and Advanced Image Processing Techniques (13 papers). Bing‐Kun Bao collaborates with scholars based in China, United States and Singapore. Bing‐Kun Bao's co-authors include Changsheng Xu, Shuicheng Yan, Weiqing Min, Ming Tao, Hao Tang, Guangcan Liu, Fei Wu, Xiao‐Yuan Jing, Ke Lü and Tianzhu Zhang 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

Bing‐Kun Bao

78 papers receiving 1.3k citations

Hit Papers

DF-GAN: A Simple and Effective Baseline for Text-to-Image... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bing‐Kun Bao China 19 926 311 137 123 98 85 1.3k
John R. Kender United States 20 1.1k 1.2× 248 0.8× 71 0.5× 38 0.3× 74 0.8× 116 1.4k
Baozong Yuan China 12 866 0.9× 237 0.8× 148 1.1× 84 0.7× 35 0.4× 120 1.2k
Richard Yi Da Xu Australia 18 592 0.6× 293 0.9× 72 0.5× 42 0.3× 56 0.6× 107 1.1k
Dhruv Mahajan United States 22 1.1k 1.2× 423 1.4× 215 1.6× 97 0.8× 67 0.7× 49 1.5k
Tinghui Zhou United States 9 962 1.0× 140 0.5× 78 0.6× 191 1.6× 63 0.6× 21 1.2k
Carl Vondrick United States 13 958 1.0× 584 1.9× 24 0.2× 143 1.2× 45 0.5× 28 1.4k
P. Nagabhushan India 22 973 1.1× 413 1.3× 348 2.5× 23 0.2× 74 0.8× 135 1.5k

Countries citing papers authored by Bing‐Kun Bao

Since Specialization
Citations

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

Fields of papers citing papers by Bing‐Kun Bao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bing‐Kun Bao

This figure shows the co-authorship network connecting the top 25 collaborators of Bing‐Kun Bao. A scholar is included among the top collaborators of Bing‐Kun Bao 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‐Kun Bao. Bing‐Kun Bao 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.
Chang, Yuyang, Yifan Jiao, & Bing‐Kun Bao. (2025). SVSRD: Spatial Visual and Statistical Relation Distillation for Class-Incremental Semantic Segmentation. IEEE Transactions on Multimedia. 27. 4869–4881.
2.
Jiao, Yifan, Chenglong Cai, & Bing‐Kun Bao. (2025). Unified Text-Image Space Alignment with Cross-Modal Prompting in CLIP for UDA. ACM Transactions on Multimedia Computing Communications and Applications. 21(3). 1–20. 1 indexed citations
3.
Bao, Bing‐Kun, et al.. (2025). Scene Flow Estimation for Autonomous Driving via Correlation Compensation and Initial Motion Check. IEEE Transactions on Intelligent Transportation Systems. 26(10). 15852–15867.
4.
Jiao, Yifan, et al.. (2025). Replay-Based Incremental Object Detection With Local Response Exploration. IEEE Transactions on Multimedia. 27. 4348–4360.
5.
Bao, Bing‐Kun, et al.. (2024). Improving Graph Collaborative Filtering with Directional Behavior Enhanced Contrastive Learning. ACM Transactions on Knowledge Discovery from Data. 18(8). 1–20. 2 indexed citations
6.
Tao, Ming, et al.. (2024). CookGALIP: Recipe Controllable Generative Adversarial CLIPs With Sequential Ingredient Prompts for Food Image Generation. IEEE Transactions on Multimedia. 27. 2772–2782. 3 indexed citations
7.
Tao, Ming, et al.. (2024). ISF-GAN: Imagine, Select, and Fuse with GPT-Based Text Enrichment for Text-to-Image Synthesis. ACM Transactions on Multimedia Computing Communications and Applications. 20(7). 1–17. 3 indexed citations
8.
Jiao, Yifan, Hantao Yao, Bing‐Kun Bao, & Changsheng Xu. (2024). Source-Guided Target Feature Reconstruction for Cross-Domain Classification and Detection. IEEE Transactions on Image Processing. 33. 2808–2822. 4 indexed citations
9.
You, Sisi, et al.. (2024). Unbiased Feature Learning with Causal Intervention for Visible-Infrared Person Re-Identification. ACM Transactions on Multimedia Computing Communications and Applications. 20(10). 1–20. 2 indexed citations
10.
Tan, Zhiyi, et al.. (2024). MSGNN: Multi-scale Spatio-temporal Graph Neural Network for epidemic forecasting. Data Mining and Knowledge Discovery. 38(4). 2348–2376. 8 indexed citations
11.
Bao, Bing‐Kun, et al.. (2023). GPT-Based Knowledge Guiding Network for Commonsense Video Captioning. IEEE Transactions on Multimedia. 26. 5147–5158. 5 indexed citations
12.
You, Sisi, et al.. (2023). Self-PT: Adaptive Self-Prompt Tuning for Low-Resource Visual Question Answering. 5089–5098. 2 indexed citations
13.
Gao, Junyu, et al.. (2023). Multimodal Imbalance-Aware Gradient Modulation for Weakly-Supervised Audio-Visual Video Parsing. IEEE Transactions on Circuits and Systems for Video Technology. 34(6). 4843–4856. 4 indexed citations
14.
You, Sisi, Hantao Yao, Bing‐Kun Bao, & Changsheng Xu. (2023). Multi-object Tracking with Spatial-Temporal Tracklet Association. ACM Transactions on Multimedia Computing Communications and Applications. 20(5). 1–21. 4 indexed citations
15.
Bao, Bing‐Kun, et al.. (2023). Semantic Distance Adversarial Learning for Text-to-Image Synthesis. IEEE Transactions on Multimedia. 26. 1255–1266. 9 indexed citations
16.
Bao, Bing‐Kun, et al.. (2022). Multiview Language Bias Reduction for Visual Question Answering. IEEE Multimedia. 30(1). 91–99. 1 indexed citations
17.
Bao, Bing‐Kun, et al.. (2022). Adaptive Text Denoising Network for Image Caption Editing. ACM Transactions on Multimedia Computing Communications and Applications. 19(1s). 1–18. 6 indexed citations
18.
Bao, Bing‐Kun, et al.. (2021). DualVGR: A Dual-Visual Graph Reasoning Unit for Video Question Answering. IEEE Transactions on Multimedia. 24. 3369–3380. 61 indexed citations
19.
Bao, Bing‐Kun, et al.. (2021). River Channel Extraction in SAR Images Using Level Sets Driven by Symmetric Kullback–Leibler Distance. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–16. 1 indexed citations
20.
Deng, Lizhen, et al.. (2020). TV2++: a novel spatial-temporal total variation for super resolution with exponential-type norm. EURASIP Journal on Wireless Communications and Networking. 2020(1). 2 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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