Guochang Gu

823 total citations
81 papers, 546 citations indexed

About

Guochang Gu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Guochang Gu has authored 81 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 26 papers in Artificial Intelligence and 23 papers in Computer Networks and Communications. Recurrent topics in Guochang Gu's work include Reinforcement Learning in Robotics (7 papers), Image Retrieval and Classification Techniques (7 papers) and Robotic Path Planning Algorithms (7 papers). Guochang Gu is often cited by papers focused on Reinforcement Learning in Robotics (7 papers), Image Retrieval and Classification Techniques (7 papers) and Robotic Path Planning Algorithms (7 papers). Guochang Gu collaborates with scholars based in China, United States and Hong Kong. Guochang Gu's co-authors include Meiping Song, Haibo Liu, Hualong Yu, Jing Shen, Rubo Zhang, Haiyan Yang, Jing Zhao, Jing Shen, Jian Li and Guoyin Zhang and has published in prestigious journals such as Applied Physics Letters, Expert Systems with Applications and Solid State Communications.

In The Last Decade

Guochang Gu

68 papers receiving 492 citations

Peers

Guochang Gu
Xiao Yu China
Tao Peng China
Albert Esterline United States
Xia Chen China
Daniel Clancy United States
Len Hamey Australia
Xiao Yu China
Guochang Gu
Citations per year, relative to Guochang Gu Guochang Gu (= 1×) peers Xiao Yu

Countries citing papers authored by Guochang Gu

Since Specialization
Citations

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

Fields of papers citing papers by Guochang Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guochang Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Guochang Gu. A scholar is included among the top collaborators of Guochang 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 Guochang Gu. Guochang 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.
Gu, Guochang, et al.. (2012). A Novel Software Reliability Assessment Approach based on Neural Network in Network Environment. International Journal of Advancements in Computing Technology. 4(1). 136–144. 6 indexed citations
2.
Gu, Guochang. (2011). Integrating K-means and non-negative matrix factorization to ensemble document clustering. Journal of Jilin University. 1 indexed citations
3.
Gu, Guochang. (2010). Spectral clustering algorithms for document cluster ensemble problem. Journal of Communications. 3 indexed citations
4.
Yu, Hualong, et al.. (2010). A framework for microarray data-based tumor diagnostic system with improving performance incrementally. Expert Systems with Applications. 37(9). 6682–6688. 1 indexed citations
5.
Gu, Guochang, et al.. (2009). Image Segmentation Based on Visual Attention Mechanism. Journal of Multimedia. 4(6). 9 indexed citations
6.
Gu, Guochang, et al.. (2009). 32-bit floating-point FPGA gaussian elimination. 283–284. 2 indexed citations
7.
Gu, Guochang. (2008). A bidirectional 2-D linear discriminant analysis algorithm based on an adaptively weighted function. Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University. 1 indexed citations
8.
Gu, Guochang. (2008). Discovery of data mining services based on domain ontology. Computer Engineering and Applications Journal. 1 indexed citations
9.
Gu, Guochang, et al.. (2007). An image classification method based on a SK sub-vector multi-hierarchy clustering algorithm. 3. 182–186. 1 indexed citations
10.
Gu, Guochang, et al.. (2007). An Improved CFCSS Control Flow Checking Algorithm. 284–287. 7 indexed citations
11.
Gu, Guochang, et al.. (2007). Linear correlation analysis of numeric attributes for government data. 521–524. 3 indexed citations
12.
Wang, Jigang & Guochang Gu. (2006). Research and design of hard real-time Linux kernel. Systems engineering and electronics. 1 indexed citations
13.
Cai, Shaobin, Wenbin Yao, Nianmin Yao, & Guochang Gu. (2006). MPoolODMRP: An Extended PoolODMRP based on Multi-path Policy. 1. 75–80. 1 indexed citations
14.
Shen, Jing, et al.. (2006). Multi-Agent Hierarchical Reinforcement Learning by Integrating Options into MAXQ. 4. 676–682. 9 indexed citations
15.
Li, Jian, et al.. (2005). Research and experiments of network attack defence system. csd tr 95 22. 3548–3553. 1 indexed citations
16.
Gu, Guochang, et al.. (2005). AUV fuzzy neural BDI. Journal of Marine Science and Application. 4(3). 37–41. 1 indexed citations
17.
Liu, Wenjie & Guochang Gu. (2004). Security issues in grid environment. 9. 510–513.
18.
Song, Meiping, Guochang Gu, & Rubo Zhang. (2004). Behavior control of multi-robot using the prior knowledge based reinforcement learning. 6. 5027–5030. 5 indexed citations
19.
Gu, Guochang. (2003). A NEW MULTI-AGENT REINFORCEMENT LEARNING ALGORITHM AND ITS APPLICATION TO MULTI-ROBOT COOPERATION TASKS. Robot.
20.
Wang, Xingce, Rubo Zhang, & Guochang Gu. (2003). Research on dynamic team formation for multirobot based on reinforcement learning. 4. 2959–2963.

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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