Bao-Gang Hu
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 0.5%
- Control and Systems Engineering top 1%
- Computational Mechanics top 1%
- Signal Processing top 1%
- Co-authors
- Wei‐Shi ZhengRaymond G. GosineRan HeGeorge K. I. MannXiangwei KongQiang JiXiao–Tong YuanBaoyuan Wu
- Topics
- Face and Expression Recognition (37 papers)Neural Networks and Applications (25 papers)Greenhouse Technology and Climate Control (24 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceAutomaticaIEEE Transactions on Image Processing
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Bao-Gang Hu
159 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Computer Vision and Pattern Recognition 1.7k
- Artificial Intelligence 1.5k
- Control and Systems Engineering 848
- Computational Mechanics 764
- Signal Processing 678
Countries citing papers authored by Bao-Gang Hu
This map shows the geographic impact of Bao-Gang Hu'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 Bao-Gang Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bao-Gang Hu more than expected).
Fields of papers citing papers by Bao-Gang Hu
This network shows the impact of papers produced by Bao-Gang Hu. 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 Bao-Gang Hu. The network helps show where Bao-Gang Hu may publish in the future.
Co-authorship network of co-authors of Bao-Gang Hu
This figure shows the co-authorship network connecting the top 25 collaborators of Bao-Gang Hu. A scholar is included among the top collaborators of Bao-Gang Hu 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 Bao-Gang Hu. Bao-Gang Hu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 5 | |
| 3 | 5 | |
| 4 | 22 | |
| 5 | 2 | |
| 6 | Learning with Average Top-k Loss | 4 |
| 7 | 15 | |
| 8 | 3 | |
| 9 | 86 | |
| 10 | 99 | |
| 11 | Minimum Conditional Entropy Clustering: A Discriminative Framework for Clustering | 6 |
| 12 | 23 | |
| 13 | Dirichlet-Bernoulli Alignment: A Generative Model for Multi-Class Multi-Label Multi-Instance Corpora | 43 |
| 14 | 25 | |
| 15 | 7 | |
| 16 | Study on plant growth behaviors simulated by the functional-structural plant model - GreenLab | 1 |
| 17 | 2 | |
| 18 | PLANT GROWTH MODELING AND VISUALIZATION——REVIEW AND PERSPECTIVE | 9 |
| 19 | 63 | |
| 20 | 246 |
About Bao-Gang Hu
Bao-Gang Hu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 161 papers that have together received 4.1k indexed citations. Recurring topics across this work include Face and Expression Recognition (37 papers), Neural Networks and Applications (25 papers) and Greenhouse Technology and Climate Control (24 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.7k citations), Signal Processing (678 citations) and Artificial Intelligence (1.5k citations). Bao-Gang Hu has collaborated with scholars based in China, United States and France. Frequent co-authors include Wei‐Shi Zheng, Raymond G. Gosine, Ran He, George K. I. Mann, Xiangwei Kong, Ran He, Qiang Ji, Xiao–Tong Yuan, Baoyuan Wu and Weiming Dong. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Automatica and IEEE Transactions on Image Processing.
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.