Patrick Wang

1.6k citations
61 papers · 933 · h-index 16

Impact in

Papers in

Patrick Wang

58 papers receiving 886 citations

Peers

Patrick Wang
Comparison fields: 5 of 132
  • Health Informatics 33
  • Cardiology and Cardiovascular Medicine 241
  • Surgery 309
  • Spectroscopy 107
  • Radiology, Nuclear Medicine and Imaging 126
Replace Petr Vaňhara with:
Petr Vaňhara Czechia
Ryan Hoffman United States
Jianrong Wu China
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Lianlian Wu China
Zhixiang Wang China
Qing Zhong China
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Citations per field
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Citations per year

Countries citing papers authored by Patrick Wang

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004310
2 201964
3
Employing two question answering systems in TREC-2005
200548
4 202040
5 202140
6 201938
7 202335
8 200935
9 202231
10 202223
11
A multiple-domain framework of clinical, economic, and patient-reported outcomes for evaluating benefits of intervention in atopic dermatitis.
200723
12 202120
13 200817
14 202016
15
LCC's GISTexter at DUC 2006: Multi-Strategy Multi-Document Summarization
200616
16 202015
17 200611
18 200710
19 201710
20 20219

About Patrick Wang

Patrick Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Surgery and Cardiology and Cardiovascular Medicine, having authored 61 papers that have together received 933 indexed citations. Recurring topics across this work include Topic Modeling (6 papers), Machine Learning in Bioinformatics (4 papers), Natural Language Processing Techniques (4 papers), Face and Expression Recognition (4 papers), Image Retrieval and Classification Techniques (4 papers), RNA and protein synthesis mechanisms (3 papers), Biomedical Text Mining and Ontologies (3 papers) and Atmospheric chemistry and aerosols (3 papers). The work is most often cited by research in Health Informatics (33 citations), Cardiology and Cardiovascular Medicine (241 citations), Surgery (309 citations), Spectroscopy (107 citations) and Radiology, Nuclear Medicine and Imaging (126 citations). Patrick Wang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Jeffrey W. Moses, Richard E. Kuntz, Martin B. Leon, Donald S. Baim, Jeffery J. Popma, Issam Moussa, Jay Midwall, Charles A. Simonton, Maurice Buchbinder and William W. O’Neill. Their work appears in journals such as Chem, Atmospheric measurement techniques, International Journal of Technology Enhanced Learning, Scientific Reports and Nature Communications.

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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