Pearl Y. Wang

786 total citations
9 papers, 451 citations indexed

About

Pearl Y. Wang is a scholar working on Artificial Intelligence, Molecular Biology and Computer Networks and Communications. According to data from OpenAlex, Pearl Y. Wang has authored 9 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Molecular Biology and 2 papers in Computer Networks and Communications. Recurrent topics in Pearl Y. Wang's work include Biomedical Text Mining and Ontologies (3 papers), AI-based Problem Solving and Planning (3 papers) and Interconnection Networks and Systems (2 papers). Pearl Y. Wang is often cited by papers focused on Biomedical Text Mining and Ontologies (3 papers), AI-based Problem Solving and Planning (3 papers) and Interconnection Networks and Systems (2 papers). Pearl Y. Wang collaborates with scholars based in United States and United Kingdom. Pearl Y. Wang's co-authors include James A. Reggia, Dana Nau, Yun Peng, Stephen B. Seidman, Michael Rice and Craig S. Wong and has published in prestigious journals such as European Journal of Operational Research, Information Sciences and Journal of Parallel and Distributed Computing.

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 Christoph Beierle with:
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Christian Wirth Austria
Jaime Carbonell United States
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Joyce Friedman United States
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Christoph Beierle Germany View profile →
Citations per field, relative to Pearl Y. Wang
Pearl Y. Wang · 1×
Citations per year, relative to Pearl Y. Wang
Pearl Y. Wang · 1×

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
# Work Indexed 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

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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