Edward Jay Wang

28 papers receiving 541 citations

Peers

Edward Jay Wang
Comparison fields: 5 of 85
  • Human-Computer Interaction 122
  • Cognitive Neuroscience 112
  • Cardiology and Cardiovascular Medicine 113
  • Biomedical Engineering 232
  • Computer Vision and Pattern Recognition 100
Replace Md Shafayet Hossain with:
Md Shafayet Hossain Bangladesh
Adam Bujnowski Poland
Tomasz Kocejko Poland
Viswam Nathan United States
Yifei Zhang China
Torbjørn Dahl Norway
Craig Chin United States
Abhilash K. Pandya United States
Ali I. Siam Egypt
Tan Tian Swee Malaysia
Edward Jay Wang relative to Md Shafayet Hossain Bangladesh Md Shafayet Hossain's profile →
Citations per field
00.5×10×20×30×40×48×
Md Shafayet Hossain · 1×
Citations per year

Countries citing papers authored by Edward Jay Wang

Since Specialization
Citations

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

Fields of papers citing papers by Edward Jay Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edward Jay Wang. 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 Edward Jay Wang. The network helps show where Edward Jay Wang may publish in the future.

Co-authors

The 25 scholars most cited alongside Edward Jay Wang, 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 Edward Jay Wang Line = papers co-authored together Edward Jay Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201790
2 201690
3 201880
4 201579
5 201744
6 201539
7 202217
8 201717
9 202516
10 202313
11 202211
12 201810
13 20199
14 20178
15 20247
16 20175
17 20234
18 20233
19 20223
20 20242

About Edward Jay Wang

Edward Jay Wang is a scholar working on Biomedical Engineering, Cardiology and Cardiovascular Medicine, Computer Vision and Pattern Recognition, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 30 papers that have together received 558 indexed citations. Recurring topics across this work include Non-Invasive Vital Sign Monitoring (11 papers), Context-Aware Activity Recognition Systems (5 papers), Breastfeeding Practices and Influences (5 papers), Optical Imaging and Spectroscopy Techniques (4 papers), Mobile Health and mHealth Applications (4 papers), Heart Rate Variability and Autonomic Control (4 papers), Hemodynamic Monitoring and Therapy (3 papers) and Gaze Tracking and Assistive Technology (3 papers). The work is most often cited by research in Human-Computer Interaction (122 citations), Cognitive Neuroscience (112 citations), Cardiology and Cardiovascular Medicine (113 citations), Biomedical Engineering (232 citations) and Computer Vision and Pattern Recognition (100 citations). Edward Jay Wang has collaborated with scholars based in United States, Germany and Brazil. Frequent co-authors include Shwetak Patel, Christian Holz, Alexandra Ion, Patrick Baudisch, William Li, Terry Gernsheimer, Mayank Goel, Lama Nachman, Elliot Saba and Mohit Jain. Their work appears in journals such as Scientific Reports, npj Digital Medicine, IEEE Pervasive Computing, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies and Science Advances.

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.

Explore authors with similar magnitude of impact