Michael Tang

428 citations
21 papers · 255 · h-index 9

Impact in

Papers in

Michael Tang

17 papers receiving 238 citations

Peers

Michael Tang
Comparison fields: 5 of 56
  • Ophthalmology 41
  • Radiology, Nuclear Medicine and Imaging 103
  • Neurology 26
  • Computer Vision and Pattern Recognition 67
  • Health Information Management 10
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Citations per field
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Citations per year

Countries citing papers authored by Michael Tang

Since Specialization
Citations

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

Fields of papers citing papers by Michael Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Michael Tang, 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 Michael Tang Line = papers co-authored together Michael Tang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202237
2 201937
3
Regular Versus Online Versus Blended: A Qualitative Description of the Advantages of the Electronic Modes and a Quantitative Evaluation
200733
4 202132
5 201927
6 201919
7 202217
8 202315
9 202013
10 20246
11 20245
12
Integration of e-Management, e-Development and e-Learning Technologies for Blended Course Delivery.
20054
13
University anti-plagiarism efforts versus commercial anti-plagiarism software and services and do online students cheat more?
20073
14
Regular vs. online vs. blended: a qualitative description of the advantages of the electronic modes and a quantitative evaluation
20052
15
The impact of science fiction media on student interest and learning
20142
16 19992
17
A Mathematical Analysis of Semantic Maps, with Theoretical and Applied Implications for Blended Learning Software.
20121
18 20260
19 20200
20 20130

About Michael Tang

Michael Tang is a scholar working on Radiology, Nuclear Medicine and Imaging, Education, Ophthalmology, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 21 papers that have together received 255 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (4 papers), Retinal Diseases and Treatments (4 papers), Retinal and Optic Conditions (3 papers), Online and Blended Learning (2 papers), Digital Imaging for Blood Diseases (2 papers), Brain Tumor Detection and Classification (2 papers), Open Education and E-Learning (2 papers) and Diverse Education and Engineering Focus (2 papers). The work is most often cited by research in Ophthalmology (41 citations), Radiology, Nuclear Medicine and Imaging (103 citations), Neurology (26 citations), Computer Vision and Pattern Recognition (67 citations) and Health Information Management (10 citations). Michael Tang has collaborated with scholars based in United States, Malaysia and Cameroon. Frequent co-authors include Soo Siang Teoh, Haidi Ibrahim, Embong Zunaina, Paul Ginns, Michael J. Jacobson, Corwyn Rowsell, Mahdi S. Hosseini, Jun Deng, Konstantinos N. Plataniotis and Savvas Damaskinos. Their work appears in journals such as Journal of Professional Issues in Engineering Education and Practice, IEEE Access, Sensors, Educational Psychology Review and International journal on e-learning.

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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