Pearl Y. Wang

786 citations
9 papers · 451 indexed · h-index 5
Topics
Biomedical Text Mining and Ontologies (3 papers)AI-based Problem Solving and Planning (3 papers)Interconnection Networks and Systems (2 papers)

In The Last Decade

Pearl Y. Wang

8 papers receiving 408 citations

Peers

Pearl Y. Wang
Comparison fields: 5 of 68
  • Artificial Intelligence 316
  • Industrial and Manufacturing Engineering 64
  • Molecular Biology 57
  • Computational Theory and Mathematics 54
  • Information Systems 44
Replace Thomas Ellman with:
Thomas Ellman United States
Leonard Bolc Poland
Christoph Beierle Germany
James F. Gimpel United States
Christian Wirth Austria
Finnegan Southey Canada
Bruno Bouzy France
Richard Y. Kain United States
Lawrence J. Henschen United States
Joyce Friedman United States
Pearl Y. Wang relative to Thomas Ellman United States Thomas Ellman's profile →
Citations per field
00.5×20×40×57×
Thomas Ellman · 1×
Citations per year

Countries citing papers authored by Pearl Y. Wang

Since Specialization
Citations

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

Fields of papers citing papers by Pearl Y. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pearl Y. Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Pearl Y. Wang. A scholar is included among the top collaborators of Pearl Y. Wang 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 Pearl Y. Wang. Pearl Y. Wang 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
#WorkIndexed citations
1 43
2
Binary-Exchange Algorithms on a Packed Exponential Connections Network.
1
3
A Parallel Randomized Sorting Algorithm.
4
4 1
5 0
6 18
7 112
8
A new inference method for frame-based expert systems
3
9 269

About Pearl Y. Wang

Pearl Y. Wang is a scholar working on Computer Graphics and Computer-Aided Design, Hardware and Architecture and Computational Theory and Mathematics, having authored 9 papers that have together received 451 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (3 papers), AI-based Problem Solving and Planning (3 papers) and Interconnection Networks and Systems (2 papers). The work is most often cited by research in Artificial Intelligence (316 citations), History and Philosophy of Science (42 citations) and Software (30 citations). Pearl Y. Wang has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include James A. Reggia, Dana Nau, Yun Peng, Stephen B. Seidman, Michael Rice and Craig S. Wong. Their work appears in journals such as European Journal of Operational Research, Information Sciences and Journal of Parallel and Distributed Computing.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026