Alex Cheng

31 papers receiving 401 citations

Peers

Alex Cheng
Comparison fields: 5 of 85
  • Health Informatics 16
  • Health Information Management 32
  • Urology 37
  • Epidemiology 93
  • Family Practice 5
Replace Jonathan Ungar with:
Jonathan Ungar United States
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Paolo Verri Italy
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Alex Cheng relative to Jonathan Ungar United States Jonathan Ungar's profile →
Citations per field
00.5×12.3×
Jonathan Ungar · 1×
Citations per year

Countries citing papers authored by Alex Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Alex Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013129
2 202245
3 202139
4 202429
5 202220
6
Determining Burden of Commuting for Treatment Using Online Mapping Services - A Study of Breast Cancer Patients.
201717
7 201915
8
Data Driven Approach to Burden of Treatment Measurement: A Study of Patients with Breast Cancer.
201614
9 201614
10 202112
11 202211
12 200911
13 202211
14 20225
15 20214
16 20253
17 20243
18 20243
19 20113
20
Clinical Assessment of Low Calcium In traUMa (CALCIUM).
20233

About Alex Cheng

Alex Cheng is a scholar working on Health Information Management, Molecular Biology, Oncology, Genetics and Infectious Diseases, having authored 37 papers that have together received 406 indexed citations. Recurring topics across this work include Electronic Health Records Systems (4 papers), Mobile Health and mHealth Applications (2 papers), Urinary Tract Infections Management (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Economic and Financial Impacts of Cancer (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Genomics and Rare Diseases (2 papers) and Scientific Computing and Data Management (2 papers). The work is most often cited by research in Health Informatics (16 citations), Health Information Management (32 citations), Urology (37 citations), Epidemiology (93 citations) and Family Practice (5 citations). Alex Cheng has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Mia Levy, Paul A. Harris, John M. Hollingsworth, Latoya Kuhn, Mary A.M. Rogers, Robert W. Chang, Sarah L. Krein, Sanjay Saint, Stephany N. Duda and Robert J. Taylor. Their work appears in journals such as Journal of the American Medical Informatics Association, JCO Clinical Cancer Informatics, Annals of Internal Medicine, Emerging Microbes & Infections and Journal of Biomedical Informatics.

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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