Steven Guan

883 citations
28 papers · 573 · 1 hit paper · h-index 9

Impact in

Papers in

Steven Guan

25 papers receiving 546 citations

Steven Guan's Hit Papers

Fully Dense UNet for 2-D Sparse Photoacoustic Tomography Artifact Removal 2019 · 381 citations
3810+2+4Years since publication100200300

Peers

Steven Guan
Comparison fields: 5 of 88
  • Radiology, Nuclear Medicine and Imaging 183
  • Computer Vision and Pattern Recognition 165
  • Mechanics of Materials 125
  • Biomedical Engineering 203
  • Neurology 34
Replace Md Tauhidul Islam with:
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Bernhard Burgeth Germany
An Zhao China
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Citations per field
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Citations per year

Countries citing papers authored by Steven Guan

Since Specialization
Citations

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

Fields of papers citing papers by Steven Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Fully Dense UNet for 2-D Sparse Photoacoustic Tomography Artifact Removal
Hit paper breakdown →
2019381
2 202134
3 200427
4 202119
5 200216
6 201813
7 202311
8 202310
9 20239
10 20228
11 20058
12
Ontology acquisition and exchange of evolutionary product-brokering agents
20045
13 20215
14 20174
15 20114
16 20223
17 20193
18 20243
19 20032
20 20212

About Steven Guan

Steven Guan is a scholar working on Artificial Intelligence, Biomedical Engineering, Mechanics of Materials, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 28 papers that have together received 573 indexed citations. Recurring topics across this work include Photoacoustic and Ultrasonic Imaging (7 papers), Thermography and Photoacoustic Techniques (6 papers), Advanced X-ray and CT Imaging (4 papers), Atomic and Subatomic Physics Research (3 papers), Mobile Agent-Based Network Management (3 papers), Ultrasound and Hyperthermia Applications (2 papers), Human Pose and Action Recognition (2 papers) and Service-Oriented Architecture and Web Services (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (183 citations), Computer Vision and Pattern Recognition (165 citations), Mechanics of Materials (125 citations), Biomedical Engineering (203 citations) and Neurology (34 citations). Steven Guan has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Parag V. Chitnis, Amir Khan, Siddhartha Sikdar, Rui Yang, Jeremy S. Smith, Borna Mehrad, Talissa A. Altes, Jaime F. Mata, John P. Mugler and Kun Qing. Their work appears in journals such as The Journal of the Acoustical Society of America, Tomography, Neurocomputing, Photoacoustics and Electronic Commerce Research and Applications.

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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