Bao-Gang Hu

6.0k total citations · 1 hit paper
161 papers, 4.1k citations indexed

About

Bao-Gang Hu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Bao-Gang Hu has authored 161 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Artificial Intelligence, 64 papers in Computer Vision and Pattern Recognition and 28 papers in Control and Systems Engineering. Recurrent topics in Bao-Gang Hu's work include Face and Expression Recognition (37 papers), Neural Networks and Applications (25 papers) and Greenhouse Technology and Climate Control (24 papers). Bao-Gang Hu is often cited by papers focused on Face and Expression Recognition (37 papers), Neural Networks and Applications (25 papers) and Greenhouse Technology and Climate Control (24 papers). Bao-Gang Hu collaborates with scholars based in China, United States and France. Bao-Gang Hu's 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 and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Automatica and IEEE Transactions on Image Processing.

In The Last Decade

Bao-Gang Hu

159 papers receiving 3.9k 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.

Maximum Correntropy Criterion for Robust Face Recognition

2010 534 citations Wei‐Shi Zheng, Bao-Gang Hu et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers

Countries citing papers authored by Bao-Gang Hu

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

#	Work	Indexed citations
1	Towards Corruption-Agnostic Robust Domain Adaptation 2022 ·ACM Transactions on Multimedia Computing Communications and Applications ·Yifan Xu, Kekai Sheng, Weiming Dong, Baoyuan Wu, Changsheng Xu, Bao-Gang Hu	8
2	Average Top-k Aggregate Loss for Supervised Learning 2020 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·Siwei Lyu, Yanbo Fan, Yiming Ying, Bao-Gang Hu	5
3	Groupwise Ranking Loss for Multi-Label Learning 2020 ·IEEE Access ·Yanbo Fan, Baoyuan Wu, Ran He, Bao-Gang Hu, Yong Zhang, Siwei Lyu	5
4	Incremental Concept Learning via Online Generative Memory Recall 2020 ·IEEE Transactions on Neural Networks and Learning Systems ·Huaiyu Li, Weiming Dong, Bao-Gang Hu	22
5	Semi-Supervised Deep Neural Network for Joint Intensity Estimation of Multiple Facial Action Units 2019 ·IEEE Access ·Yong Zhang, Yanbo Fan, Weiming Dong, Bao-Gang Hu, Qiang Ji	2
6	Learning with Average Top-k Loss 2017 ·Neural Information Processing Systems ·Yanbo Fan, Siwei Lyu, Yiming Ying, Bao-Gang Hu	4
7	Data-Driven Synthesis of Cartoon Faces Using Different Styles 2016 ·IEEE Transactions on Image Processing ·Yong Zhang, Weiming Dong, Chongyang Ma, Xing Mei, Ke Li, Feiyue Huang, Bao-Gang Hu, Oliver Deußen	15
8	Two-Phase Attribute Ordering for Unsupervised Ranking of Multi-attribute Objects 2014 ·(unknown), Xing Mei, Bao-Gang Hu	3
9	Constrained Clustering and Its Application to Face Clustering in Videos 2013 ·Baoyuan Wu, Yifan Zhang, Bao-Gang Hu, Qiang Ji	86
10	A Regularized Correntropy Framework for Robust Pattern Recognition 2011 ·Neural Computation ·Ran He, Wei‐Shi Zheng, Bao-Gang Hu, Xiangwei Kong	99
11	Minimum Conditional Entropy Clustering: A Discriminative Framework for Clustering 2010 ·Asian Conference on Machine Learning ·Bo Dai, Bao-Gang Hu	6
12	Simulation of fruit-set and trophic competition and optimization of yield advantages in six Capsicum cultivars using functional–structural plant modelling 2010 ·Annals of Botany ·Yuntao Ma, (unknown), (unknown), E. Heuvelink, Jieping Zhu, Bao-Gang Hu, Paul-Henry Cournède, P. de Reffye	23
13	Dirichlet-Bernoulli Alignment: A Generative Model for Multi-Class Multi-Label Multi-Instance Corpora 2009 ·Neural Information Processing Systems ·Shuang-Hong Yang, Hongyuan Zha, Bao-Gang Hu	43
14	Two-Phase Construction of Multilayer Perceptrons Using Information Theory 2009 ·IEEE Transactions on Neural Networks ·Hong-Jie Xing, Bao-Gang Hu	25
15	Variational learning for Generalized Associative Functional Networks in modeling dynamic process of plant growth 2009 ·Ecological Informatics ·Hanbing Qu, Bao-Gang Hu	7
16	Study on plant growth behaviors simulated by the functional-structural plant model - GreenLab 2003 ·Agritrop (Cirad) ·Hongping Yan, Philippe De Reffye, Johannes J. Le Roux, Bao-Gang Hu	1
17	A fast algorithm for calculating stem and branch radial growth in a tree 2002 ·SPIRE - Sciences Po Institutional REpository ·Myungshim Kang, Yan Huang, Philippe De Reffye, M. Jaeger, Bao-Gang Hu, François Houllier	2
18	PLANT GROWTH MODELING AND VISUALIZATION——REVIEW AND PERSPECTIVE 2001 ·自动化学报 ·Bao-Gang Hu	9
19	Two-level tuning of fuzzy PID controllers 2001 ·IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) ·George K. I. Mann, Bao-Gang Hu, Raymond G. Gosine	63
20	Analysis of direct action fuzzy PID controller structures 1999 ·IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) ·George K. I. Mann, Bao-Gang Hu, Raymond G. Gosine	246

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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