Xinyu Niu

1.4k citations
71 papers · 818 indexed · h-index 18
Topics
Advanced Neural Network Applications (25 papers)Parallel Computing and Optimization Techniques (16 papers)Embedded Systems Design Techniques (11 papers)
Partner nations
United KingdomChinaJapan

In The Last Decade

Xinyu Niu

65 papers receiving 806 citations

Peers

Xinyu Niu
Comparison fields: 5 of 103
  • Computer Vision and Pattern Recognition 344
  • Electrical and Electronic Engineering 288
  • Artificial Intelligence 250
  • Hardware and Architecture 139
  • Computer Networks and Communications 80
Replace M. B. Srinivas with:
M. B. Srinivas India
Jiajun Lin China
Tinghuan Chen China
Hongxiang Fan United Kingdom
Yingyan Lin United States
Shuanglong Liu United Kingdom
Bert Moons Belgium
Lingzhi Sui China
Hiroki Nakahara Japan
Joo-Young Kim South Korea
Xinyu Niu relative to M. B. Srinivas India M. B. Srinivas's profile →
Citations per field
00.5×3.1×
M. B. Srinivas · 1×
Citations per year

Countries citing papers authored by Xinyu Niu

Since Specialization
Citations

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

Fields of papers citing papers by Xinyu Niu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinyu Niu

This figure shows the co-authorship network connecting the top 25 collaborators of Xinyu Niu. A scholar is included among the top collaborators of Xinyu Niu 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 Xinyu Niu. Xinyu Niu 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 3
3 1
4 6
5 7
6 0
7 1
8 4
9 4
10 26
11 11
12 23
13 39
14 56
15 8
16 2
17 49
18 9
19 3
20 14

About Xinyu Niu

Xinyu Niu is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 71 papers that have together received 818 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (25 papers), Parallel Computing and Optimization Techniques (16 papers) and Embedded Systems Design Techniques (11 papers). The work is most often cited by research in Hardware and Architecture (139 citations), Computer Vision and Pattern Recognition (344 citations) and Artificial Intelligence (250 citations). Xinyu Niu has collaborated with scholars based in United Kingdom, China and Japan. Frequent co-authors include Wayne Luk, Hongxiang Fan, Shuanglong Liu, Zhiqiang Que, Martin Ferianc, Rongxuan Zhao, Ho-Cheung Ng, Shuli Wang, Lin Liu and Liangying Zhang. Their work appears in journals such as ACM Computing Surveys, Computer Physics Communications and Journal of Alloys and Compounds.

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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