Jack Tsao

17 papers receiving 540 citations

Jack Tsao's Hit Papers

Beyond the author: Artificial intelligence, creative writing and intellectual emancipation 2024 · 30 citations
300+12+25Years since publication100200300

Peers

Jack Tsao
Comparison fields: 5 of 85
  • Aerospace Engineering 291
  • Computer Vision and Pattern Recognition 117
  • Signal Processing 53
  • Ocean Engineering 66
  • Radiology, Nuclear Medicine and Imaging 84
Replace B. Haywood with:
B. Haywood Australia
Julie Ann Jackson United States
Langis Gagnon Canada
Yijun Chen China
Longyong Chen China
Claudio Curcio Italy
J.M.M. Anderson United States
J. Mayhan United States
H. Li United States
Fumie Costen United Kingdom
Jack Tsao relative to B. Haywood Australia B. Haywood's profile →
Citations per field
00.5×5.9×
B. Haywood · 1×
Citations per year

Countries citing papers authored by Jack Tsao

Since Specialization
Citations

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

Fields of papers citing papers by Jack Tsao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Jack Tsao, 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 Jack Tsao Line = papers co-authored together Jack Tsao links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1
Reduction of sidelobe and speckle artifacts in microwave imaging: the CLEAN technique
Hit paper breakdown →
1988360
2 2003107
3 200738
4
Beyond the author: Artificial intelligence, creative writing and intellectual emancipation
Hit paper breakdown →
202430
5 20189
6 20254
7 20024
8 20243
9
k-t BLAST reconstruction from arbitrary k-t space sampling: application to dynamic radial imaging
20053
10 20233
11 20213
12 20033
13 20252
14 20231
15 20251
16 20131
17 20121
18 20250

About Jack Tsao

Jack Tsao is a scholar working on Sociology and Political Science, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Education and Biomedical Engineering, having authored 18 papers that have together received 573 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (3 papers), Advanced MRI Techniques and Applications (3 papers), Medical Imaging Techniques and Applications (2 papers), Ultrasound and Hyperthermia Applications (1 paper), Digital Education and Society (1 paper), Mental Health via Writing (1 paper), Advanced X-ray and CT Imaging (1 paper) and Virtual Reality Applications and Impacts (1 paper). The work is most often cited by research in Aerospace Engineering (291 citations), Computer Vision and Pattern Recognition (117 citations), Signal Processing (53 citations), Ocean Engineering (66 citations) and Radiology, Nuclear Medicine and Imaging (84 citations). Jack Tsao has collaborated with scholars based in Hong Kong, Australia and Switzerland. Frequent co-authors include B.D. Steinberg, Rolf F. Schulte, Peter Boesiger, A Henning, Bob Lingard, Ian Hardy, Paul C. Lauterbur, Katherine McLay, Monica Tung and Holger Eggers. Their work appears in journals such as IEEE Transactions on Medical Imaging, British Journal of Sociology of Education, IEEE Transactions on Antennas and Propagation, Discourse Studies in the Cultural Politics of Education and Journal of Magnetic Resonance.

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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