Christopher Tong

5.4k total citations · 1 hit paper
35 papers, 3.8k citations indexed

About

Christopher Tong is a scholar working on Computational Mechanics, Pulmonary and Respiratory Medicine and Statistical and Nonlinear Physics. According to data from OpenAlex, Christopher Tong has authored 35 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computational Mechanics, 5 papers in Pulmonary and Respiratory Medicine and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in Christopher Tong's work include Nonlinear Dynamics and Pattern Formation (4 papers), Chaos control and synchronization (4 papers) and Fluid Dynamics and Turbulent Flows (3 papers). Christopher Tong is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (4 papers), Chaos control and synchronization (4 papers) and Fluid Dynamics and Turbulent Flows (3 papers). Christopher Tong collaborates with scholars based in United States, China and Hong Kong. Christopher Tong's co-authors include Andy Liaw, Robert P. Sheridan, Vladimir Svetnik, Bradley P. Feuston, Joseph Culberson, M. Grujičić, D.J. Helfritch, Alexander Gluhovsky, Changtai Zhao and Sameer Bansilal and has published in prestigious journals such as The Journal of the Acoustical Society of America, Journal of the Atmospheric Sciences and Materials Science and Engineering A.

In The Last Decade

Christopher Tong

32 papers receiving 3.7k citations

Hit Papers

Random Forest:  A Classification and Regression Tool for ... 2003 2026 2010 2018 2003 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher Tong United States 16 898 773 401 387 299 35 3.8k
Joseph Culberson Canada 23 1.1k 1.2× 885 1.1× 916 2.3× 361 0.9× 95 0.3× 62 4.1k
Raghu N. Kacker United States 33 645 0.7× 292 0.4× 517 1.3× 195 0.5× 108 0.4× 207 6.8k
Toshihiko Yanase Japan 44 260 0.3× 2.7k 3.5× 979 2.4× 271 0.7× 180 0.6× 226 9.4k
Vladimir Svetnik United States 16 1.5k 1.7× 1.4k 1.8× 508 1.3× 765 2.0× 129 0.4× 41 4.5k
Hong Ye China 39 570 0.6× 552 0.7× 184 0.5× 330 0.9× 70 0.2× 208 6.8k
Takuya Akiba Japan 14 346 0.4× 304 0.4× 1.2k 3.0× 246 0.6× 156 0.5× 25 4.1k
David M. Gay United States 25 463 0.5× 916 1.2× 212 0.5× 196 0.5× 82 0.3× 53 3.7k
Hugh Chen United States 7 225 0.3× 508 0.7× 1.2k 3.1× 349 0.9× 296 1.0× 7 5.2k
Yuying Li China 19 255 0.3× 279 0.4× 247 0.6× 244 0.6× 222 0.7× 101 4.7k

Countries citing papers authored by Christopher Tong

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Tong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Tong

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher Tong. A scholar is included among the top collaborators of Christopher Tong 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 Christopher Tong. Christopher Tong 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
2.
Tong, Christopher, et al.. (2025). Rapid microbial evaluation of acute exacerbations of bronchiectasis using FilmArray Pneumonia plus Panel in a real-world setting. Therapeutic Advances in Respiratory Disease. 19. 2703921079–2703921079. 1 indexed citations
3.
Tong, Christopher, et al.. (2024). Detection of equine parvovirus-hepatitis and efficacy of governmental regulation for equine biologics purity. Journal of Veterinary Diagnostic Investigation. 37(1). 79–85.
5.
Tong, Christopher, et al.. (2021). Pharmacist driven antibiotic redosing in the emergency department. The American Journal of Emergency Medicine. 50. 160–166. 4 indexed citations
6.
Tong, Christopher, et al.. (2021). A review of guidelines for evaluating a minor modification to a validated assay. Revue Scientifique et Technique de l OIE. 40(1). 217–226. 3 indexed citations
7.
Tong, Christopher. (2019). Statistical Inference Enables Bad Science; Statistical Thinking Enables Good Science. The American Statistician. 73(sup1). 246–261. 51 indexed citations
8.
Azer, Karim, et al.. (2010). High-Throughput Doppler Toolbox for Preclinical Drug Development. JALA Journal of the Association for Laboratory Automation. 15(4). 287–296. 2 indexed citations
9.
Tang, Haiying, Joseph R. Vasselli, Christopher Tong, Steven B. Heymsfield, & EX Wu. (2009). In vivo MRI evaluation of anabolic steroid precursor growth effects in a guinea pig model. Steroids. 74(8). 684–693. 2 indexed citations
10.
Haines, Brian B., Mélissa Chénard, Raquel Sevilla, et al.. (2009). A Quantitative Volumetric Micro-Computed Tomography Method to Analyze Lung Tumors in Genetically Engineered Mouse Models. Neoplasia. 11(1). 39–47. 36 indexed citations
11.
Ma, Junshui, et al.. (2009). Generating hypotheses about molecular structure–activity relationships (SARs) by solving an optimization problem. Statistical Analysis and Data Mining The ASA Data Science Journal. 2(3). 161–174. 1 indexed citations
12.
Tong, Christopher. (2009). Lord Kelvin’s gyrostat and its analogs in physics, including the Lorenz model. American Journal of Physics. 77(6). 526–537. 11 indexed citations
13.
Rudd, James H.F., Kelly S. Myers, Sameer Bansilal, et al.. (2008). Atherosclerosis Inflammation Imaging with 18F-FDG PET: Carotid, Iliac, and Femoral Uptake Reproducibility, Quantification Methods, and Recommendations. Journal of Nuclear Medicine. 49(6). 871–878. 335 indexed citations
14.
Wu, EX, Haiying Tang, Christopher Tong, Steve B. Heymsfield, & Joseph R. Vasselli. (2007). In vivo MRI quantification of individual muscle and organ volumes for assessment of anabolic steroid growth effects. Steroids. 73(4). 430–440. 7 indexed citations
15.
Tong, Christopher. (2004). Parallel universes in the statistics literature. American Journal of Physics. 72(11). 1367–1367.
16.
Tong, Christopher & Alexander Gluhovsky. (2002). Energy-conserving low-order models for three-dimensional Rayleigh-Bénard convection. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 65(4). 46306–46306. 20 indexed citations
17.
Tubis, Arnold, Carrick L. Talmadge, & Christopher Tong. (2000). Modeling the temporal behavior of distortion product otoacoustic emissions. The Journal of the Acoustical Society of America. 107(4). 2112–2127. 15 indexed citations
18.
Tuminaro, Raymond S. & Christopher Tong. (2000). Parallel Smoothed Aggregation Multigrid : Aggregation Strategies on Massively Parallel Machines. 5–5. 44 indexed citations
19.
Talmadge, Carrick L., Arnold Tubis, Christopher Tong, Glenis R. Long, & Sumitrajit Dhar. (2000). TEMPORAL ASPECTS OF OTOACOUSTIC EMISSIONS. 353–359. 4 indexed citations
20.
Gluhovsky, Alexander & Christopher Tong. (1999). The structure of energy conserving low-order models. Physics of Fluids. 11(2). 334–343. 39 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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