You-Wei Cheah

2.1k total citations
11 papers, 94 citations indexed

About

You-Wei Cheah is a scholar working on Information Systems and Management, Information Systems and Management Science and Operations Research. According to data from OpenAlex, You-Wei Cheah has authored 11 papers receiving a total of 94 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Information Systems and Management, 7 papers in Information Systems and 5 papers in Management Science and Operations Research. Recurrent topics in You-Wei Cheah's work include Scientific Computing and Data Management (9 papers), Research Data Management Practices (7 papers) and Data Quality and Management (5 papers). You-Wei Cheah is often cited by papers focused on Scientific Computing and Data Management (9 papers), Research Data Management Practices (7 papers) and Data Quality and Management (5 papers). You-Wei Cheah collaborates with scholars based in United States and Italy. You-Wei Cheah's co-authors include Beth Plale, Lavanya Ramakrishnan, R. S. Canon, Scott A. Jensen, Yuan Luo, D. Agarwal, Gilberto Pastorello, Youngryel Ryu, Joan Damerow and Catharine van Ingen and has published in prestigious journals such as Ecological Informatics, The International Journal of High Performance Computing Applications and Journal of Data and Information Quality.

In The Last Decade

You-Wei Cheah

11 papers receiving 90 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
You-Wei Cheah United States	5	59	55	28	25	14	11	94
Marcin Wylot Switzerland	7	38 0.6×	39 0.7×	64 2.3×	25 1.0×	88 6.3×	9	127
Daniel Mallmann Germany	6	55 0.9×	30 0.5×	75 2.7×	4 0.2×	14 1.0×	23	98
René Jäkel Germany	5	35 0.6×	19 0.3×	32 1.1×	7 0.3×	9 0.6×	15	61
Andrew Branson United Kingdom	7	40 0.7×	45 0.8×	34 1.2×	27 1.1×	45 3.2×	18	99
Jetendr Shamdasani United Kingdom	6	36 0.6×	37 0.7×	23 0.8×	24 1.0×	42 3.0×	17	87
Marco Fargetta Italy	5	63 1.1×	40 0.7×	78 2.8×	7 0.3×	11 0.8×	19	112
Sara Magliacane Netherlands	5	27 0.5×	23 0.4×	17 0.6×	18 0.7×	58 4.1×	16	103
Ruben Taelman Belgium	6	27 0.5×	36 0.7×	31 1.1×	20 0.8×	72 5.1×	24	104
Allard Oelen Germany	6	35 0.6×	47 0.9×	8 0.3×	32 1.3×	125 8.9×	14	164
Saumen Dey United States	8	129 2.2×	117 2.1×	98 3.5×	23 0.9×	21 1.5×	13	148

Countries citing papers authored by You-Wei Cheah

Since Specialization

Citations

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

Fields of papers citing papers by You-Wei Cheah

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by You-Wei Cheah. 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 You-Wei Cheah. The network helps show where You-Wei Cheah may publish in the future.

Co-authorship network of co-authors of You-Wei Cheah

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

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Cheah, You-Wei, Raju Valivarthi, Erhan Sağlamyürek, et al.. (2024). The QUANT-NET Testbed Development and Preliminary Results. 1799–1808. 2 indexed citations

2.

Agarwal, D., Joan Damerow, Charuleka Varadharajan, et al.. (2021). Balancing the needs of consumers and producers for scientific data collections. Ecological Informatics. 62. 101251–101251. 4 indexed citations

3.

Cheah, You-Wei, et al.. (2018). Bringing Data Science to Qualitative Analysis. eScholarship (California Digital Library). 325–326. 1 indexed citations

4.

Pastorello, Gilberto, Dan Gunter, Housen Chu, et al.. (2017). Hunting Data Rogues at Scale: Data Quality Control for Observational Data in Research Infrastructures. eScholarship (California Digital Library). 446–447. 2 indexed citations

5.

Cheah, You-Wei, Abdelrahman Elbashandy, D. Agarwal, et al.. (2016). Data management and simulation support accelerating carbon capture through computing. eScholarship (California Digital Library). 33. 389–398. 2 indexed citations

6.

Plale, Beth & You-Wei Cheah. (2014). Quality, retrieval and analysis of provenance in large-scale data. 152–152. 1 indexed citations

7.

Cheah, You-Wei & Beth Plale. (2014). Provenance Quality Assessment Methodology and Framework. Journal of Data and Information Quality. 5(3). 1–20. 8 indexed citations

8.

Cheah, You-Wei, R. S. Canon, Beth Plale, & Lavanya Ramakrishnan. (2013). Milieu: Lightweight and Configurable Big Data Provenance for Science. 46–53. 20 indexed citations

9.

Plale, Beth, et al.. (2012). Visualization of network data provenance. 1–9. 25 indexed citations

10.

Cheah, You-Wei & Beth Plale. (2012). Provenance analysis: Towards quality provenance. 1–8. 19 indexed citations

11.

Agarwal, D., You-Wei Cheah, Tony Hey, et al.. (2011). Data-intensive science: The Terapixel and MODISAzure projects. The International Journal of High Performance Computing Applications. 25(3). 304–316. 10 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.

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