Juan Ye

2.7k total citations
106 papers, 1.7k citations indexed

About

Juan Ye is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Juan Ye has authored 106 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Computer Vision and Pattern Recognition, 30 papers in Artificial Intelligence and 28 papers in Computer Networks and Communications. Recurrent topics in Juan Ye's work include Context-Aware Activity Recognition Systems (48 papers), Anomaly Detection Techniques and Applications (16 papers) and IoT and Edge/Fog Computing (14 papers). Juan Ye is often cited by papers focused on Context-Aware Activity Recognition Systems (48 papers), Anomaly Detection Techniques and Applications (16 papers) and IoT and Edge/Fog Computing (14 papers). Juan Ye collaborates with scholars based in United Kingdom, China and Ireland. Juan Ye's co-authors include Simon Dobson, Graeme Stevenson, Susan McKeever, Lorcan Coyle, Franco Zambonelli, Paddy Nixon, Zichen Deng, Weipeng Hu, Alberto Rosi and Marco Mamei and has published in prestigious journals such as Angewandte Chemie International Edition, Materials Science and Engineering A and IEEE Access.

In The Last Decade

Juan Ye

99 papers receiving 1.6k citations

Peers

Juan Ye
Comparison fields: 5 of 125
  • Computer Vision and Pattern Recognition 872
  • Computer Networks and Communications 554
  • Artificial Intelligence 508
  • Information Systems 193
  • Electrical and Electronic Engineering 193
Replace Jason Leigh with:
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Marco Anisetti Italy
Woontack Woo South Korea
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Jason Leigh United States View profile →
Citations per field, relative to Juan Ye
Juan Ye · 1×
Citations per year, relative to Juan Ye
Juan Ye · 1×

Countries citing papers authored by Juan Ye

Since Specialization
Citations

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

Fields of papers citing papers by Juan Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juan Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Juan Ye. A scholar is included among the top collaborators of Juan Ye 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 Juan Ye. Juan Ye 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
# Work Indexed citations
1 0
2 0
3 1
4 10
5 1
6 9
7 26
8 27
9 14
10 3
11 69
12 3
13 2
14 5
15 20
16
A proposed approach to evaluate the accuracy of tag-based location systems
8
17 113
18
Integrating multiple contexts and ontologies in a pervasive computing framework
4
19 8
20 2

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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