C. Yu

1.2k total citations
26 papers, 361 citations indexed

About

C. Yu is a scholar working on Safety, Risk, Reliability and Quality, Global and Planetary Change and Materials Chemistry. According to data from OpenAlex, C. Yu has authored 26 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Safety, Risk, Reliability and Quality, 17 papers in Global and Planetary Change and 12 papers in Materials Chemistry. Recurrent topics in C. Yu's work include Nuclear and radioactivity studies (20 papers), Radioactive contamination and transfer (17 papers) and Graphite, nuclear technology, radiation studies (12 papers). C. Yu is often cited by papers focused on Nuclear and radioactivity studies (20 papers), Radioactive contamination and transfer (17 papers) and Graphite, nuclear technology, radiation studies (12 papers). C. Yu collaborates with scholars based in United States, United Kingdom and Norway. C. Yu's co-authors include S. Kamboj, J.-J. Cheng, J. Vives i Batlle, B.J. Howard, Justin Brown, C.L. Barnett, D. Copplestone, A. Hosseini, G. Olyslaegers and N.A. Beresford and has published in prestigious journals such as The Science of The Total Environment, Journal of Hazardous Materials and Journal of Environmental Quality.

In The Last Decade

C. Yu

24 papers receiving 340 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. Yu United States 11 278 238 169 53 42 26 361
S. Kamboj United States 12 393 1.4× 361 1.5× 235 1.4× 84 1.6× 60 1.4× 34 532
L. Sweeck Belgium 13 366 1.3× 349 1.5× 150 0.9× 57 1.1× 21 0.5× 34 489
Yu.V. Khomutinin Ukraine 9 346 1.2× 202 0.8× 104 0.6× 27 0.5× 21 0.5× 36 429
N.P. Arkhipov Russia 8 262 0.9× 210 0.9× 118 0.7× 10 0.2× 21 0.5× 15 322
C. M. Vandecasteele Belgium 11 270 1.0× 169 0.7× 75 0.4× 14 0.3× 18 0.4× 28 336
V. Filistovič Lithuania 10 191 0.7× 151 0.6× 88 0.5× 19 0.4× 14 0.3× 19 242
Petr Rulík Czechia 10 183 0.7× 171 0.7× 95 0.6× 23 0.4× 10 0.2× 26 274
Junko Takahashi Japan 10 474 1.7× 341 1.4× 264 1.6× 43 0.8× 39 0.9× 21 563
J Lembrechts Netherlands 9 324 1.2× 278 1.2× 147 0.9× 20 0.4× 30 0.7× 17 404
M. Steiner Germany 10 189 0.7× 123 0.5× 55 0.3× 11 0.2× 18 0.4× 20 277

Countries citing papers authored by C. Yu

Since Specialization
Citations

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

Fields of papers citing papers by C. Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. Yu. 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 C. Yu. The network helps show where C. Yu may publish in the future.

Co-authorship network of co-authors of C. Yu

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

All Works

20 of 20 papers shown
1.
Liu, X., Lingyun Gao, C. Yu, et al.. (2025). Nitrogen losses at varying heights in full-scale functional membrane-covered aerobic composting: Insights into interactions between microbial communities and environmental factors. Journal of environmental chemical engineering. 13(5). 117468–117468. 2 indexed citations
2.
Li, Jun, J. Y. Lu, Chao Wang, et al.. (2025). Machine learning-based source apportionment and source-oriented probabilistic ecological risk assessment of heavy metals in urban green spaces. Ecotoxicology and Environmental Safety. 302. 118714–118714.
3.
Yu, C., et al.. (2013). Effects of the new wildlife transfer factors on RESRAD-BIOTA's screening Biota Concentration Guides and previous model comparison studies. Journal of Environmental Radioactivity. 126. 338–351. 8 indexed citations
4.
Kamboj, S., et al.. (2013). Benchmarking the New RESRAD-OFFSITE Source Term Model with DUST-MS and GoldSim - 13377. 1 indexed citations
5.
Johansen, Mathew P., C.L. Barnett, Nicholas A. Beresford, et al.. (2012). Assessing doses to terrestrial wildlife at a radioactive waste disposal site: Inter-comparison of modelling approaches. The Science of The Total Environment. 427-428. 238–246. 52 indexed citations
6.
Beresford, N.A., C.L. Barnett, Justin Brown, et al.. (2010). Predicting the radiation exposure of terrestrial wildlife in the Chernobyl exclusion zone: an international comparison of approaches. Journal of Radiological Protection. 30(2). 341–373. 54 indexed citations
7.
Batlle, J. Vives i, K. Beaugelin­-Seiller, N.A. Beresford, et al.. (2010). The estimation of absorbed dose rates for non-human biota: an extended intercomparison. Radiation and Environmental Biophysics. 50(2). 231–251. 57 indexed citations
8.
Kamboj, S., et al.. (2009). Modeling of the EMRAS urban working group hypothetical scenario using the RESRAD-RDD methodology. Journal of Environmental Radioactivity. 100(12). 1012–1018. 13 indexed citations
9.
Thiessen, Kathleen M., Kasper Grann Andersson, J.-J. Cheng, et al.. (2009). Modelling the long-term consequences of a hypothetical dispersal of radioactivity in an urban area including remediation alternatives. Journal of Environmental Radioactivity. 100(6). 445–455. 17 indexed citations
10.
Beresford, N.A., C.L. Barnett, Justin Brown, et al.. (2008). Inter-comparison of models to estimate radionuclide activity concentrations in non-human biota. Radiation and Environmental Biophysics. 47(4). 491–514. 65 indexed citations
11.
Thiessen, Kathleen M., Kasper Grann Andersson, A. Arkhipov, et al.. (2008). Improvement of modelling capabilities for assessing urban contamination: The EMRAS Urban Remediation Working Group. Applied Radiation and Isotopes. 66(11). 1741–1744. 7 indexed citations
12.
Wolbarst, Anthony B., Weihsueh A. Chiu, C. Yu, et al.. (2005). RADIOACTIVE MATERIALS IN BIOSOLIDS: DOSE MODELING. Health Physics. 90(1). 16–30. 2 indexed citations
13.
Bastian, Robert K., et al.. (2005). Radioactive Materials in Biosolids. Journal of Environmental Quality. 34(3). 1152–1152. 4 indexed citations
14.
Kamboj, S., David J. LePoire, & C. Yu. (2002). EXTERNAL EXPOSURE MODEL IN THE RESRAD COMPUTER CODE. Health Physics. 82(6). 831–839. 11 indexed citations
15.
Kamboj, S., et al.. (2002). TECHNICAL BASIS FOR CALCULATING RADIATION DOSES FOR THE BUILDING OCCUPANCY SCENARIO USING THE PROBABILISTIC RESRAD-BUILD 3.0 CODE. 5 indexed citations
16.
Kamboj, S., et al.. (2002). Probabilistic Approach to Identify Sensitive Parameter Distributions in Multimedia Pathway Analysis. Practice Periodical of Hazardous Toxic and Radioactive Waste Management. 6(1). 23–30. 2 indexed citations
17.
Yu, C., et al.. (2000). DEVELOPMENT OF PROBABILISTIC RESRAD 6.0 AND RESRAD-BUILD 3.0 COMPUTER CODES. 14 indexed citations
18.
Yu, C., et al.. (1993). RESRAD: A computer code for evaluating radioactively contaminated sites. University of North Texas Digital Library (University of North Texas). 1 indexed citations
19.
Cheng, J.-J. & C. Yu. (1993). Using the RESRAD computer code to evaluate human health risks from radionuclides and hazardous chemicals. Journal of Hazardous Materials. 35(3). 353–367. 11 indexed citations
20.
LePoire, David J., et al.. (1991). Calculating external doses from contaminated soil with the computer model SOILD. Transactions of the American Nuclear Society. 64.

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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