Shize Huang

556 citations
35 papers · 389 indexed · h-index 11
Topics
Railway Engineering and Dynamics (6 papers)Adversarial Robustness in Machine Learning (5 papers)Video Surveillance and Tracking Methods (5 papers)
Journals
SHILAP Revista de lepidopterologíaInformation SciencesIEEE Transactions on Computers

In The Last Decade

Shize Huang

30 papers receiving 376 citations

Peers

Shize Huang
Comparison fields: 5 of 60
  • Mechanical Engineering 130
  • Electrical and Electronic Engineering 108
  • Control and Systems Engineering 85
  • Electronic, Optical and Magnetic Materials 79
  • Artificial Intelligence 69
Replace Huang Hai with:
Huang Hai China
Dongyang Xu China
Jianhua Guo China
Stefano Di Pascoli Italy
Guodong Peng China
Tianfu Sun China
Xingcheng Wang China
Lusheng Wang China
Shize Huang relative to Huang Hai China Huang Hai's profile →
Citations per field
00.5×1.5×1.8×
Huang Hai · 1×
Citations per year

Countries citing papers authored by Shize Huang

Since Specialization
Citations

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

Fields of papers citing papers by Shize Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shize Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Shize Huang. A scholar is included among the top collaborators of Shize Huang 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 Shize Huang. Shize Huang 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 5
2 4
3 0
4 1
5 0
6 0
7 1
8 2
9 9
10 3
11 2
12 16
13 20
14 8
15 13
16 12
17 0
18 10
19 4
20 86

About Shize Huang

Shize Huang is a scholar working on Industrial and Manufacturing Engineering, Media Technology and Computer Vision and Pattern Recognition, having authored 35 papers that have together received 389 indexed citations. Recurring topics across this work include Railway Engineering and Dynamics (6 papers), Adversarial Robustness in Machine Learning (5 papers) and Video Surveillance and Tracking Methods (5 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (52 citations), Electronic, Optical and Magnetic Materials (79 citations) and Control and Systems Engineering (85 citations). Shize Huang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Decun Dong, Miaomiao Zhang, Dazhang Zhu, Hui Duan, Mingxian Liu, Liangchun Li, Lihua Gan, Wenjing Lu, Ling Miao and Wei Chen. Their work appears in journals such as SHILAP Revista de lepidopterología, Information Sciences and IEEE Transactions on Computers.

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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