Simon Chen

1.7k citations
32 papers · 1.3k · h-index 17

Impact in

Papers in

Simon Chen

29 papers receiving 1.2k citations

Peers

Simon Chen
Comparison fields: 5 of 135
  • Health Informatics 76
  • Computer Vision and Pattern Recognition 264
  • Media Technology 108
  • Radiology, Nuclear Medicine and Imaging 205
  • Dermatology 81
Replace Adnan Mujahid Khan with:
Adnan Mujahid Khan United Kingdom
David Clunie United States
Sergi Ganau Spain
Rupert Ecker Austria
Jyoti Ramanath Kini India
Navid Farahani United States
Peng Tang China
Shu Wang China
Ángel Cruz-Roa Colombia
Raffaella Massafra Italy
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Citations per field
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Adnan Mujahid Khan · 1×
Citations per year

Countries citing papers authored by Simon Chen

Since Specialization
Citations

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

Fields of papers citing papers by Simon Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020242
2 2018191
3 2021152
4 202377
5 202069
6 201163
7 199260
8
Murine monoclonal antibodies raised against human non-small cell carcinoma of the lung: specificity and tumor targeting.
199050
9 198948
10 201647
11 202239
12 201433
13 199132
14
Inhibition of disease progression by a novel retinoid antagonist in animal models of arthritis.
200328
15 202226
16 201224
17 202119
18 199510
19 202210
20 20208

About Simon Chen

Simon Chen is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Dermatology, Rheumatology and Radiology, Nuclear Medicine and Imaging, having authored 32 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (5 papers), Image Processing Techniques and Applications (4 papers), Skin Protection and Aging (3 papers), AI in cancer detection (3 papers), Optical measurement and interference techniques (3 papers), Glycosylation and Glycoproteins Research (2 papers), melanin and skin pigmentation (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Health Informatics (76 citations), Computer Vision and Pattern Recognition (264 citations), Media Technology (108 citations), Radiology, Nuclear Medicine and Imaging (205 citations) and Dermatology (81 citations). Simon Chen has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Kenneth M. Tramposch, Jianming Zhang, Simon Niklaus, Chunhua Shen, Wei Yin, Oliver Wang, Rhona Stein, Long Mai, Sylvain Paris and Jue Wang. Their work appears in journals such as Cancer Discovery, European Thyroid Journal, Journal of the American College of Surgeons, IEEE Transactions on Pattern Analysis and Machine Intelligence and Cancers.

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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