Patrick Wang

1.7k citations
68 papers · 1.0k · h-index 16

Impact in

Papers in

Patrick Wang

64 papers receiving 970 citations

Peers

Patrick Wang
Comparison fields: 5 of 132
  • Health Informatics 35
  • Surgery 282
  • Spectroscopy 111
  • Cardiology and Cardiovascular Medicine 128
  • Computer Vision and Pattern Recognition 135
Replace Ryan Hoffman with:
Ryan Hoffman United States
Ryosuke Kojima Japan
Lianlian Wu China
Hak‐Soo Kim South Korea
Jianrong Wu China
Swati Tiwari India
Alex Aliper United States
Yukang Zhang China
Ken Wang Switzerland
Patrick Wang relative to Ryan Hoffman United States Ryan Hoffman's profile →
Citations per field
00.5×4.5×
Ryan Hoffman · 1×
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 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004322
2 201964
3
Employing two question answering systems in TREC-2005
200556
4 202048
5 202143
6 202340
7 201940
8 202236
9 200936
10 202224
11
A multiple-domain framework of clinical, economic, and patient-reported outcomes for evaluating benefits of intervention in atopic dermatitis.
200723
12 200822
13 202121
14 202017
15
LCC's GISTexter at DUC 2006: Multi-Strategy Multi-Document Summarization
200617
16 202015
17 200615
18 202411
19 200711
20 202110

About Patrick Wang

Patrick Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Molecular Biology, Surgery and Dermatology, having authored 68 papers that have together received 1.0k indexed citations. Recurring topics across this work include Face and Expression Recognition (6 papers), Topic Modeling (6 papers), Image Retrieval and Classification Techniques (6 papers), Natural Language Processing Techniques (5 papers), Machine Learning in Bioinformatics (4 papers), Handwritten Text Recognition Techniques (3 papers), Molecular Sensors and Ion Detection (3 papers) and Atmospheric chemistry and aerosols (3 papers). The work is most often cited by research in Health Informatics (35 citations), Surgery (282 citations), Spectroscopy (111 citations), Cardiology and Cardiovascular Medicine (128 citations) and Computer Vision and Pattern Recognition (135 citations). Patrick Wang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Richard E. Kuntz, Martin B. Leon, Jeffrey W. Moses, Jeffery J. Popma, Charles A. Simonton, Issam Moussa, Maurice Buchbinder, Jay Midwall, William W. O’Neill and Donald S. Baim. Their work appears in journals such as Chem, International Journal of Technology Enhanced Learning, Atmospheric measurement techniques, Bioinformatics and Protein Expression and Purification.

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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