Ben-Chung Cheng

456 citations
11 papers · 294 indexed · h-index 9
Topics
Parallel Computing and Optimization Techniques (11 papers)Logic, programming, and type systems (6 papers)Advanced Data Storage Technologies (5 papers)
Journals
ACM SIGPLAN NoticesInternational Symposium on MicroarchitectureACM SIGARCH Computer Architecture News
Partner nations
United StatesBulgaria

In The Last Decade

Ben-Chung Cheng

10 papers receiving 274 citations

Peers

Ben-Chung Cheng
Comparison fields: 5 of 15
  • Hardware and Architecture 205
  • Computer Networks and Communications 147
  • Artificial Intelligence 113
  • Software 68
  • Information Systems 59
Replace David Goodwin with:
David Goodwin Germany
Todd Waterman United States
Sigmund Cherem United States
Ludo Van Put Belgium
Dominique Chanet Belgium
Michael Paleczny United States
Christopher A. Vick United States
Suan Hsi Yong United States
Easwaran Raman United States
Junghee Lim United States
Ben-Chung Cheng relative to David Goodwin Germany David Goodwin's profile →
Citations per field
00.5×4.5×
David Goodwin · 1×
Citations per year

Countries citing papers authored by Ben-Chung Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Ben-Chung Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ben-Chung Cheng. 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 Ben-Chung Cheng. The network helps show where Ben-Chung Cheng may publish in the future.

Co-authorship network of co-authors of Ben-Chung Cheng

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 32
2
Hardware Support for Dynamic Management of Compiler-Directed Computation Reuse.
0
3 25
4 13
5
Compile-time memory disambiguation for c programs
9
6 12
7 109
8 61
9 10
10 16
11 7

About Ben-Chung Cheng

Ben-Chung Cheng is a scholar working on Hardware and Architecture, Computer Networks and Communications and Artificial Intelligence, having authored 11 papers that have together received 294 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (11 papers), Logic, programming, and type systems (6 papers) and Advanced Data Storage Technologies (5 papers). The work is most often cited by research in Hardware and Architecture (205 citations), Software (68 citations) and Computer Networks and Communications (147 citations). Ben-Chung Cheng has collaborated with scholars based in United States and Bulgaria. Frequent co-authors include Wen‐mei Hwu, Daniel A. Connors, Scott Mahlke, Patrick Eaton, David I. August, Hillery C. Hunter, Wen mei Hwu and Dan Connors. Their work appears in journals such as ACM SIGPLAN Notices, International Symposium on Microarchitecture and ACM SIGARCH Computer Architecture News.

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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