Naijie Gu

1.1k citations
100 papers · 655 indexed · 1 hit paper · h-index 13
Topics
Parallel Computing and Optimization Techniques (18 papers)Interconnection Networks and Systems (12 papers)Human Pose and Action Recognition (10 papers)

In The Last Decade

Naijie Gu

83 papers receiving 628 citations

Hit Papers

MonkeyNet: A robust deep convolutional neural network for...20232026202420252023255075

Peers

Naijie Gu
Comparison fields: 5 of 88
  • Computer Vision and Pattern Recognition 199
  • Computer Networks and Communications 169
  • Artificial Intelligence 168
  • Electrical and Electronic Engineering 124
  • Information Systems 91
Replace Anuj Kumar Jain with:
Anuj Kumar Jain India
Jiangtao Luo China
Asmaa H. Rabie Egypt
Yang He China
Baokang Zhao China
Xiangwei Wang China
Yu Ma China
Xinghao Pan United States
Roopak Sinha New Zealand
Hengzhen Zhang China
Naijie Gu relative to Anuj Kumar Jain India Anuj Kumar Jain's profile →
Citations per field
00.5×6.5×
Anuj Kumar Jain · 1×
Citations per year

Countries citing papers authored by Naijie Gu

Since Specialization
Citations

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

Fields of papers citing papers by Naijie Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naijie Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Naijie Gu. A scholar is included among the top collaborators of Naijie 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 Naijie Gu. Naijie 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
#WorkIndexed citations
1 4
2 0
3 1
4 0
5 0
6 0
7 5
8 13
9 0
10 4
11 0
12 11
13 14
14 6
15 17
16 10
17 2
18 1
19 20
20 1

About Naijie Gu

Naijie Gu is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 100 papers that have together received 655 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (18 papers), Interconnection Networks and Systems (12 papers) and Human Pose and Action Recognition (10 papers). The work is most often cited by research in Virology (75 citations), Computer Vision and Pattern Recognition (199 citations) and Computer Networks and Communications (169 citations). Naijie Gu has collaborated with scholars based in China, Hong Kong and Puerto Rico. Frequent co-authors include Zhangjin Huang, Jianping Wang, Robail Yasrab, Lu Zou, Jin Wang, Guoping Wang, Jie Chang, Kejie Lu, MM Rahman and Balachandran Manavalan. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and Expert Systems with Applications.

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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