Joy Zhang

3.1k citations
31 papers · 2.0k indexed · 3 hit papers · h-index 14

Joy Zhang

30 papers receiving 1.9k citations

Hit Papers

Convolutional Neural Networks for Human Activity Recognit...6072012202620162021200400600

Peers

Joy Zhang
Comparison fields: 5 of 125
  • Signal Processing 573
  • Computer Vision and Pattern Recognition 676
  • Radiation 258
  • Human-Computer Interaction 139
  • Information Systems 510
Replace Adnan Qayyum with:
Adnan Qayyum Pakistan
Li Liu China
Ming‐Ching Chang United States
Alan Liu Taiwan
Sanjeev Sofat India
Ghulam Mujtaba Pakistan
Siddique Latif Australia
Paul Koch United States
Ghulam Mubashar Hassan Australia
Songhua Xu China
Joy Zhang relative to Adnan Qayyum Pakistan Adnan Qayyum's profile →
Citations per field
00.5×10×15×19.8×
Adnan Qayyum · 1×
Citations per year

Countries citing papers authored by Joy Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Joy Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Joy Zhang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Joy Zhang Line = papers co-authored together Joy Zhang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20211
3 20200
4 20192
5 20181
6 20182
7 2015148
8 20154
9 201552
10 20157
11
Convolutional Neural Networks for Human Activity Recognition using Mobile Sensorsbreakdown →
2014607
12 20149
13 20141
14 20141
15 201322
16 20137
17 201313
18
ACCessorybreakdown →
2012263
19
The De-nationalization and Re-nationalization of the Life Sciences in China: A Cosmopolitan Practicality?
201214
20 2007260

About Joy Zhang

Joy Zhang is a scholar working on Signal Processing, Transportation, Information Systems, Computer Vision and Pattern Recognition and Computer Science Applications, having authored 31 papers that have together received 2.0k indexed citations. Recurring topics across this work include User Authentication and Security Systems (7 papers), Context-Aware Activity Recognition Systems (7 papers), Advanced Malware Detection Techniques (6 papers), Anomaly Detection Techniques and Applications (5 papers), Human Mobility and Location-Based Analysis (4 papers), Medical Imaging Techniques and Applications (3 papers), Privacy, Security, and Data Protection (2 papers) and Advanced Radiotherapy Techniques (2 papers). The work is most often cited by research in Signal Processing (573 citations), Computer Vision and Pattern Recognition (676 citations), Radiation (258 citations), Human-Computer Interaction (139 citations) and Information Systems (510 citations). Joy Zhang has collaborated with scholars based in United States, Austria and Netherlands. Frequent co-authors include Le T. Nguyen, Ming Zeng, Pang Wu, Ole J. Mengshoel, Bo Yu, Jiang Zhu, Adrian Perrig, Jun Han, Emmanuel Owusu and Janne Lindqvist. Their work appears in journals such as Journal of Applied Clinical Medical Physics, International Journal of Radiation Oncology*Biology*Physics, Medical Physics, Stem Cell Reports and Surveillance & Society.

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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