Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
This map shows the geographic impact of Ling Cheung'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 Ling Cheung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Cheung more than expected).
This network shows the impact of papers produced by Ling Cheung. 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 Ling Cheung. The network helps show where Ling Cheung may publish in the future.
Co-authorship network of co-authors of Ling Cheung
This figure shows the co-authorship network connecting the top 25 collaborators of Ling Cheung.
A scholar is included among the top collaborators of Ling Cheung 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 Ling Cheung. Ling Cheung is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
16 of 16 papers shown
1.
Canetti, Ran, Ling Cheung, Moses Liskov, et al.. (2017). Task-structured probabilistic I/O automata. Journal of Computer and System Sciences. 94. 63–97.2 indexed citations
2.
Cheung, Ling, et al.. (2009). Laser Hair Removal: Comparative Study of Light Wavelength and its Effect on Laser Hair Removal. eCommons (Cornell University).1 indexed citations
Canetti, Ran, Ling Cheung, Nancy Lynch, & Olivier Pereira. (2007). On the Role of Scheduling in Simulation-Based Security. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 2007. 102.5 indexed citations
Canetti, Ran, Ling Cheung, Dilsun Kaynar, et al.. (2006). Using Task-Structured Probabilistic I/O Automata to Analyze an Oblivious Transfer Protocol. DSpace@MIT (Massachusetts Institute of Technology).6 indexed citations
11.
Canetti, Ran, Ling Cheung, Dilsun Kaynar, et al.. (2006). Using task-structured probabilistic I/O automata to analyze cryptographic protocols. HAL (Le Centre pour la Communication Scientifique Directe). 34–39.1 indexed citations
Cheung, Ling & Martijn Hendriks. (2005). Causal Dependencies in Parallel Composition of Stochastic Processes. Data Archiving and Networked Services (DANS).3 indexed citations
14.
Canetti, Ran, Ling Cheung, Dilsun Kaynar, et al.. (2005). Using Probabilistic I/O Automata to improve the analysis of cryptographic protocols. DIAL (Catholic University of Leuven). 63. 40–41.1 indexed citations
15.
Cheung, Ling, et al.. (2004). Switched Probabilistic I/O Automata. Data Archiving and Networked Services (DANS).2 indexed citations
16.
Huang, Y. S., et al.. (2001). (Prostaglandins, Leukotrienes, and EFA, 65:147-156)Fatty acid composition of the milk lipids of Nepalese women: correlation between fatty acid composition of serum phospholipids and melting point.3 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.