1.1k total citations 15 papers, 498 citations indexed
About
Tom Ouyang is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Cognitive Neuroscience.
According to data from OpenAlex, Tom Ouyang has authored 15 papers receiving a total of 498 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Human-Computer Interaction, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Cognitive Neuroscience. Recurrent topics in Tom Ouyang's work include Interactive and Immersive Displays (7 papers), Hand Gesture Recognition Systems (7 papers) and Handwritten Text Recognition Techniques (5 papers). Tom Ouyang is often cited by papers focused on Interactive and Immersive Displays (7 papers), Hand Gesture Recognition Systems (7 papers) and Handwritten Text Recognition Techniques (5 papers). Tom Ouyang collaborates with scholars based in United States. Tom Ouyang's co-authors include Randall Davis, Shumin Zhai, Xiaojun Bi, Kurt Partridge, Mitchell Gordon, Ciprian Chelba, Yang Li, Ying Yin, Andrew Fowler and Françoise Beaufays and has published in prestigious journals such as International Joint Conference on Artificial Intelligence and DSpace@MIT (Massachusetts Institute of Technology).
In The Last Decade
Tom Ouyang
15 papers
receiving
480 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Tom Ouyang'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 Tom Ouyang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Ouyang more than expected).
This network shows the impact of papers produced by Tom Ouyang. 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 Tom Ouyang. The network helps show where Tom Ouyang may publish in the future.
Co-authorship network of co-authors of Tom Ouyang
This figure shows the co-authorship network connecting the top 25 collaborators of Tom Ouyang.
A scholar is included among the top collaborators of Tom Ouyang based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Tom Ouyang. Tom Ouyang is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Ouyang, Tom & Randall Davis. (2011). ChemInk. DSpace@MIT (Massachusetts Institute of Technology). 267–276.46 indexed citations
10.
Ouyang, Tom & Randall Davis. (2009). A visual approach to sketched symbol recognition. International Joint Conference on Artificial Intelligence. 1463–1468.53 indexed citations
11.
Ouyang, Tom & Randall Davis. (2009). Learning from Neighboring Strokes: Combining Appearance and Context for Multi-Domain Sketch Recognition. DSpace@MIT (Massachusetts Institute of Technology). 22. 1401–1409.11 indexed citations
12.
Ouyang, Tom & Randall Davis. (2009). Visual Recognition of Sketched Symbols.1 indexed citations
13.
Davis, Randall & Tom Ouyang. (2009). A visual approach to sketched symbol recognition. DSpace@MIT (Massachusetts Institute of Technology).1 indexed citations
14.
Ouyang, Tom & Randall Davis. (2007). Recognition of hand drawn chemical diagrams. DSpace@MIT (Massachusetts Institute of Technology). 846–851.38 indexed citations
15.
Ouyang, Tom & Kenneth D. Forbus. (2006). Strategy variations in analogical problem solving. 446–451.7 indexed citations
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.