Ed Huai-hsin

469 total citations
9 papers, 243 citations indexed

About

Ed Huai-hsin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Ed Huai-hsin has authored 9 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 2 papers in Computer Networks and Communications. Recurrent topics in Ed Huai-hsin's work include Data Visualization and Analytics (5 papers), Machine Learning in Bioinformatics (2 papers) and Advanced Database Systems and Queries (2 papers). Ed Huai-hsin is often cited by papers focused on Data Visualization and Analytics (5 papers), Machine Learning in Bioinformatics (2 papers) and Advanced Database Systems and Queries (2 papers). Ed Huai-hsin collaborates with scholars based in United States. Ed Huai-hsin's co-authors include John Riedl, Joseph A. Konstan, Phillip J. Barry, Jeffrey Heer, Elizabeth Shoop, John V. Carlis, Ernest F. Retzel, Sagar Jain, Alex Beutel and Francois Belletti and has published in prestigious journals such as International Conference on Artificial Intelligence and Statistics and Human Factors in Computing Systems.

In The Last Decade

Ed Huai-hsin

8 papers receiving 207 citations

Peers

Ed Huai-hsin
Comparison fields: 5 of 47
  • Computer Vision and Pattern Recognition 175
  • Artificial Intelligence 81
  • Computer Networks and Communications 49
  • Signal Processing 42
  • Information Systems 39
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Citations per field, relative to Ed Huai-hsin
Ed Huai-hsin · 1×
Citations per year, relative to Ed Huai-hsin
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Countries citing papers authored by Ed Huai-hsin

Since Specialization
Citations

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

Fields of papers citing papers by Ed Huai-hsin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ed Huai-hsin. 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 Ed Huai-hsin. The network helps show where Ed Huai-hsin may publish in the future.

Co-authorship network of co-authors of Ed Huai-hsin

This figure shows the co-authorship network connecting the top 25 collaborators of Ed Huai-hsin. A scholar is included among the top collaborators of Ed Huai-hsin 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 Ed Huai-hsin. Ed Huai-hsin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
# Work Indexed citations
1
Factorized Recurrent Neural Architectures for Longer Range Dependence
7
2
Expressiveness of the data flow and data state models in visualization systems
0
3
Mining the Structure of User Activity using Cluster Stability
19
4 107
5
A Novel Visualization Method for Biological Sequence Similarity Reports
1
6
A framework for information visualization spreadsheets
8
7
Web Analysis Visualization Spreadsheet.
2
8 75
9
Efficiency of Shared-Memory Multiprocessors for a Genetic Sequence Similarity Search Algorithm
24

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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