Shuhao Jiang

426 citations
35 papers · 275 indexed · h-index 9
Topics
Advanced Neural Network Applications (8 papers)Recommender Systems and Techniques (6 papers)Advanced Memory and Neural Computing (5 papers)

In The Last Decade

Shuhao Jiang

28 papers receiving 269 citations

Peers

Shuhao Jiang
Comparison fields: 5 of 60
  • Computer Vision and Pattern Recognition 139
  • Electrical and Electronic Engineering 111
  • Artificial Intelligence 82
  • Information Systems 41
  • Hardware and Architecture 34
Replace Zhenglun Kong with:
Zhenglun Kong United States
Chien-Chin Huang Taiwan
Kamyar Mirzazad Barijough United States
Jiachen Mao United States
Seungwon Lee South Korea
Fuxun Yu United States
Aysha Naseer Pakistan
Yu Pu China
S. Manoj Kumar India
Shuhao Jiang relative to Zhenglun Kong United States Zhenglun Kong's profile →
Citations per field
00.5×3.5×
Zhenglun Kong · 1×
Citations per year

Countries citing papers authored by Shuhao Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Shuhao Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuhao Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Shuhao Jiang. A scholar is included among the top collaborators of Shuhao Jiang 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 Shuhao Jiang. Shuhao Jiang 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 0
2 0
3 1
4 0
5 6
6 7
7 10
8 7
9 3
10 1
11 11
12 3
13 6
14 35
15 17
16 4
17 5
18 71
19 14
20
Relative Difference Function-based Traffic Safety Assessment of Tunnel Groups
1

About Shuhao Jiang

Shuhao Jiang is a scholar working on Computer Vision and Pattern Recognition, Hardware and Architecture and Artificial Intelligence, having authored 35 papers that have together received 275 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (8 papers), Recommender Systems and Techniques (6 papers) and Advanced Memory and Neural Computing (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (139 citations), Computational Mathematics (3 citations) and Hardware and Architecture (34 citations). Shuhao Jiang has collaborated with scholars based in China, United States and Malaysia. Frequent co-authors include Xiaowei Li, Shijun Gong, Jiajun Li, Wenyan Lü, Guihai Yan, Peijun Zhao, Xin He, Yi Sun, Jinlin Song and Liyi Zhang. Their work appears in journals such as IEEE Access, 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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