Guang-Tong Zhou

904 total citations
16 papers, 538 citations indexed

About

Guang-Tong Zhou is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Guang-Tong Zhou has authored 16 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 2 papers in Information Systems. Recurrent topics in Guang-Tong Zhou's work include Advanced Image and Video Retrieval Techniques (4 papers), Image Retrieval and Classification Techniques (4 papers) and Video Analysis and Summarization (3 papers). Guang-Tong Zhou is often cited by papers focused on Advanced Image and Video Retrieval Techniques (4 papers), Image Retrieval and Classification Techniques (4 papers) and Video Analysis and Summarization (3 papers). Guang-Tong Zhou collaborates with scholars based in China, Canada and Australia. Guang-Tong Zhou's co-authors include Gongping Yang, Cailing Dong, Xinjian Guo, Yilong Yin, Greg Mori, Kai Ming Ting, Fei Tony Liu, Zhiwei Deng, Hexiang Hu and Zicheng Liao and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and Machine Learning.

In The Last Decade

Guang-Tong Zhou

13 papers receiving 513 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guang-Tong Zhou China 8 320 173 62 62 47 16 538
Cristiano Leite de Castro Brazil 9 330 1.0× 108 0.6× 39 0.6× 105 1.7× 20 0.4× 39 547
Eric W. Cooper Japan 7 358 1.1× 62 0.4× 48 0.8× 78 1.3× 58 1.2× 50 584
Katsuari Kamei Japan 8 391 1.2× 71 0.4× 40 0.6× 76 1.2× 56 1.2× 58 601
I C G Campbell 8 427 1.3× 182 1.1× 53 0.9× 76 1.2× 24 0.5× 10 667
Jesús Maillo Spain 8 325 1.0× 81 0.5× 55 0.9× 51 0.8× 38 0.8× 10 561
Mario Manzo Italy 9 302 0.9× 126 0.7× 22 0.4× 59 1.0× 39 0.8× 33 555
Pablo Bermejo Spain 10 336 1.1× 136 0.8× 30 0.5× 52 0.8× 46 1.0× 26 591
Tuanfei Zhu China 8 373 1.2× 54 0.3× 40 0.6× 126 2.0× 35 0.7× 17 473
Mantao Xu China 10 232 0.7× 149 0.9× 105 1.7× 34 0.5× 33 0.7× 29 502
Nailah Al–Madi Jordan 11 312 1.0× 80 0.5× 24 0.4× 69 1.1× 62 1.3× 26 548

Countries citing papers authored by Guang-Tong Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Guang-Tong Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guang-Tong Zhou. 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 Guang-Tong Zhou. The network helps show where Guang-Tong Zhou may publish in the future.

Co-authorship network of co-authors of Guang-Tong Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Guang-Tong Zhou. A scholar is included among the top collaborators of Guang-Tong Zhou 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 Guang-Tong Zhou. Guang-Tong Zhou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Liu, Dehua, et al.. (2024). An efficient approach for discovering Graph Entity Dependencies (GEDs). Information Systems. 125. 102421–102421. 1 indexed citations
2.
3.
Li, Guihong, et al.. (2021). Aggressive sebaceous carcinoma of the scalp: a case report and literature review. Translational Cancer Research. 10(9). 4237–4242. 2 indexed citations
4.
Nauata, Nelson, Hexiang Hu, Guang-Tong Zhou, et al.. (2019). Structured Label Inference for Visual Understanding. IEEE Transactions on Pattern Analysis and Machine Intelligence. 42(5). 1–1. 7 indexed citations
5.
Hu, Hexiang, Guang-Tong Zhou, Zhiwei Deng, Zicheng Liao, & Greg Mori. (2016). Learning Structured Inference Neural Networks with Label Relations. 2960–2968. 80 indexed citations
6.
Cheng, Ye, Haiyang Xu, Hongquan Yu, et al.. (2015). Anatomic Study of Posterior Communicating Artery in Computed Tomographic Image. Journal of Craniofacial Surgery. 26(8). 2421–2424.
7.
Vahdat, Arash, Guang-Tong Zhou, Hossein Hajimirsadeghi, et al.. (2015). Discovering human interactions in videos with limited data labeling. 24. 9–18. 11 indexed citations
8.
Zhou, Guang-Tong, Tian Lan, Arash Vahdat, & Greg Mori. (2013). Latent Maximum Margin Clustering. Neural Information Processing Systems. 26. 28–36. 15 indexed citations
9.
Zhou, Guang-Tong, Tian Lan, Weilong Yang, & Greg Mori. (2013). Learning Class-to-Image Distance with Object Matchings. 795–802. 6 indexed citations
10.
Ting, Kai Ming, Guang-Tong Zhou, Fei Tony Liu, & Swee Chuan Tan. (2012). Mass estimation. Machine Learning. 90(1). 127–160. 29 indexed citations
11.
Zhou, Guang-Tong, Kai Ming Ting, Fei Tony Liu, & Yilong Yin. (2011). Relevance feature mapping for content-based multimedia information retrieval. Pattern Recognition. 45(4). 1707–1720. 16 indexed citations
12.
Ting, Kai Ming, et al.. (2010). Mass estimation and its applications. 989–998. 38 indexed citations
13.
Zhou, Guang-Tong, Kai Ming Ting, Fei Tony Liu, & Yilong Yin. (2010). Relevance feature mapping for content-based image retrieval. 1–10. 2 indexed citations
14.
Yang, Gongping, et al.. (2010). -Means Based Fingerprint Segmentation with Sensor Interoperability. EURASIP Journal on Advances in Signal Processing. 2010(1). 18 indexed citations
15.
Dong, Cailing, Yilong Yin, Xinjian Guo, Gongping Yang, & Guang-Tong Zhou. (2008). On Co-Training Style Algorithms. 196–201. 2 indexed citations
16.
Guo, Xinjian, Yilong Yin, Cailing Dong, Gongping Yang, & Guang-Tong Zhou. (2008). On the Class Imbalance Problem. 192–201. 311 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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