Bin Gu

2.5k total citations · 1 hit paper
108 papers, 1.7k citations indexed

About

Bin Gu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Bin Gu has authored 108 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Artificial Intelligence, 44 papers in Computer Vision and Pattern Recognition and 15 papers in Computational Mechanics. Recurrent topics in Bin Gu's work include Face and Expression Recognition (33 papers), Machine Learning and ELM (31 papers) and Machine Learning and Data Classification (16 papers). Bin Gu is often cited by papers focused on Face and Expression Recognition (33 papers), Machine Learning and ELM (31 papers) and Machine Learning and Data Classification (16 papers). Bin Gu collaborates with scholars based in China, United States and United Arab Emirates. Bin Gu's co-authors include Victor S. Sheng, Shuo Li, Keng Yeow Tay, Walter Romano, Xingming Sun, Heng Huang, Zhouyuan Huo, Cheng Deng, Zhiyong Gao and Jing Zhang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Climate and Expert Systems with Applications.

In The Last Decade

Bin Gu

95 papers receiving 1.7k citations

Hit Papers

Incremental Support Vector Learning for Ordinal Regression 2014 2026 2018 2022 2014 200 400 600
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.

  1. Incremental Support Vector Learning for Ordinal Regression
    2014 607 citations Bin Gu, Victor S. Sheng et al. IEEE Transactions on Neural Networks and Learning Systems profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bin Gu China 17 847 611 191 174 153 108 1.7k
宏治 津田 Japan 1 1.1k 1.3× 867 1.4× 135 0.7× 142 0.8× 172 1.1× 2 2.0k
Hadi Sadoghi Yazdi Iran 22 885 1.0× 489 0.8× 212 1.1× 164 0.9× 100 0.7× 184 2.0k
Afshin Rostamizadeh United States 21 1.5k 1.7× 800 1.3× 131 0.7× 205 1.2× 133 0.9× 34 2.6k
Yuh‐Jye Lee Taiwan 15 1.0k 1.2× 727 1.2× 294 1.5× 234 1.3× 152 1.0× 44 1.7k
Michael Gray United States 4 768 0.9× 520 0.9× 137 0.7× 99 0.6× 165 1.1× 5 1.9k
Timothy C. Havens United States 24 1.3k 1.6× 611 1.0× 121 0.6× 222 1.3× 154 1.0× 150 2.5k
Yiguang Liu China 23 398 0.5× 634 1.0× 134 0.7× 239 1.4× 69 0.5× 106 1.5k
Monica Bianchini Italy 20 762 0.9× 441 0.7× 124 0.6× 175 1.0× 227 1.5× 84 1.9k
Nan Zhang China 24 760 0.9× 455 0.7× 271 1.4× 163 0.9× 264 1.7× 155 1.9k
Tianbao Yang United States 21 1.3k 1.6× 605 1.0× 77 0.4× 199 1.1× 130 0.8× 106 2.4k

Countries citing papers authored by Bin Gu

Since Specialization
Citations

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

Fields of papers citing papers by Bin Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bin Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Bin Gu. A scholar is included among the top collaborators of Bin Gu 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 Bin Gu. Bin Gu 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.
Wu, Zichen, et al.. (2025). Design study of on-line monitoring system for power equipment operation status. Applied Mathematics and Nonlinear Sciences. 10(1).
2.
Song, Kun, Hao Li, Gong Cheng, et al.. (2025). Learning Compact Discriminant Representation via Low-Rank Bilinear Pooling. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(12). 10914–10931.
3.
Chen, Hong, Xuelin Zhang, Tieliang Gong, Bin Gu, & Feng Zheng. (2024). Error Density-dependent Empirical Risk Minimization. Expert Systems with Applications. 254. 124332–124332.
4.
Xiong, Huan, Lei Huang, Xiantong Zhen, et al.. (2024). On the Number of Linear Regions of Convolutional Neural Networks With Piecewise Linear Activations. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(7). 5131–5148. 2 indexed citations
5.
Dong, Yihong, Xue Jiang, Huanyu Liu, et al.. (2024). Generalization or Memorization: Data Contamination and Trustworthy Evaluation for Large Language Models. 12039–12050. 16 indexed citations
6.
Wu, Zichen, et al.. (2024). Remaining Useful Life Prediction of Lithium-Ion Batteries Using Particle Filter Algorithm in Communication Power Supply. Russian Electrical Engineering. 95(10). 870–879.
7.
Gu, Bin, et al.. (2023). A new large-scale learning algorithm for generalized additive models. Machine Learning. 112(9). 3077–3104. 2 indexed citations
8.
Luo, Lei, et al.. (2023). Denoising Multi-Similarity Formulation: A Self-Paced Curriculum-Driven Approach for Robust Metric Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 37(9). 11183–11191. 3 indexed citations
9.
Gu, Bin, et al.. (2022). Efficient Semi-Supervised Adversarial Training without Guessing Labels. 20. 538–547. 1 indexed citations
10.
Gu, Bin, et al.. (2020). A Unified q-Memorization Framework for Asynchronous Stochastic Optimization. Journal of Machine Learning Research. 21(190). 1–53. 1 indexed citations
11.
He, Wenping, et al.. (2019). The robustness of the skewness as an early warning signal for abrupt climate change. International Journal of Climatology. 39(15). 5672–5687. 9 indexed citations
12.
Gu, Bin, et al.. (2018). Chunk incremental learning for cost-sensitive hinge loss support vector machine. Pattern Recognition. 83. 196–208. 42 indexed citations
13.
He, Wenping, et al.. (2018). Can kurtosis be an early warning signal for abrupt climate change?. Climate Dynamics. 52(11). 6863–6876. 20 indexed citations
14.
Huo, Zhouyuan, Bin Gu, Qian Yang, & Heng Huang. (2018). Decoupled Parallel Backpropagation with Convergence Guarantee. International Conference on Machine Learning. 2098–2106. 10 indexed citations
15.
Sheng, Victor S., Jing Zhang, Bin Gu, & Xindong Wu. (2017). Majority Voting and Pairing with Multiple Noisy Labeling. IEEE Transactions on Knowledge and Data Engineering. 31(7). 1355–1368. 50 indexed citations
16.
Li, Xiang, et al.. (2017). Triply Stochastic Gradients on Multiple Kernel Learning.. Uncertainty in Artificial Intelligence. 8 indexed citations
17.
Pu, Jingchuan, et al.. (2017). The Double-Edged Sword of Expert Reviewer Programs: The Effects of Offering Expert Reviewer Status on Review Generation.. Journal of the Association for Information Systems. 5 indexed citations
18.
Gu, Bin & Victor S. Sheng. (2017). A Solution Path Algorithm for General Parametric Quadratic Programming Problem. IEEE Transactions on Neural Networks and Learning Systems. 29(9). 4462–4472. 22 indexed citations
19.
Gu, Bin & Charles X. Ling. (2015). A New Generalized Error Path Algorithm for Model Selection. International Conference on Machine Learning. 2549–2558. 12 indexed citations
20.
Gu, Bin. (2009). Generation of test cases in mutation testing using genetic algorithm. Journal of Computer Applications. 1 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

Breakdown of academic impact, for papers by 宏治 津田 Breakdown of academic impact, for papers by Hadi Sadoghi Yazdi Breakdown of academic impact, for papers by Afshin Rostamizadeh Breakdown of academic impact, for papers by Yuh‐Jye Lee Breakdown of academic impact, for papers by Michael Gray Breakdown of academic impact, for papers by Timothy C. Havens Breakdown of academic impact, for papers by Yiguang Liu Breakdown of academic impact, for papers by Monica Bianchini Breakdown of academic impact, for papers by Nan Zhang Breakdown of academic impact, for papers by Tianbao Yang
Rankless by CCL
2026