Zhihan Lyu

481 citations
54 papers · 198 indexed · h-index 8
Topics
IoT and Edge/Fog Computing (7 papers)Blockchain Technology Applications and Security (5 papers)Digital Transformation in Industry (5 papers)
Partner nations
ChinaSwedenUnited States

In The Last Decade

Zhihan Lyu

41 papers receiving 193 citations

Peers

Zhihan Lyu
Comparison fields: 5 of 73
  • Artificial Intelligence 41
  • Computer Vision and Pattern Recognition 34
  • Industrial and Manufacturing Engineering 28
  • Human-Computer Interaction 23
  • Computer Networks and Communications 21
Replace Filip Beneš with:
Filip Beneš Czechia
Chetan Dhule India
Alberto Olivares‐Alarcos Spain
Ahmad Alhilal Hong Kong
Kawtar Benghazi Spain
M. Ilayaraja India
Gilles Coppin France
Deshinta Arrova Dewi Malaysia
Sudeshna Chakraborty India
Zhihan Lyu relative to Filip Beneš Czechia Filip Beneš's profile →
Citations per field
00.5×
Filip Beneš · 1×
Citations per year

Countries citing papers authored by Zhihan Lyu

Since Specialization
Citations

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

Fields of papers citing papers by Zhihan Lyu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhihan Lyu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhihan Lyu. A scholar is included among the top collaborators of Zhihan Lyu 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 Zhihan Lyu. Zhihan Lyu 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 7
2 0
3 1
4 2
5 0
6 0
7 1
8 1
9 1
10 0
11 0
12 1
13 6
14 11
15 0
16 1
17 3
18 9
19 2
20 29

About Zhihan Lyu

Zhihan Lyu is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 54 papers that have together received 198 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (7 papers), Blockchain Technology Applications and Security (5 papers) and Digital Transformation in Industry (5 papers). The work is most often cited by research in Human-Computer Interaction (23 citations), Industrial and Manufacturing Engineering (28 citations) and Computer Vision and Pattern Recognition (34 citations). Zhihan Lyu has collaborated with scholars based in China, Sweden and United States. Frequent co-authors include Junxin Chen, Sibo Qiao, Haibin Lv, Yong Ji, Chong Fu, Lei Yang, Xu Xu, Hailin Feng, Kai Fang and Qiankun Li. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Journal on Selected Areas in Communications.

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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