Dehan Kong

1.5k total citations
56 papers, 915 citations indexed

About

Dehan Kong is a scholar working on Statistics and Probability, Cell Biology and Physiology. According to data from OpenAlex, Dehan Kong has authored 56 papers receiving a total of 915 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Statistics and Probability, 11 papers in Cell Biology and 11 papers in Physiology. Recurrent topics in Dehan Kong's work include Statistical Methods and Inference (13 papers), Muscle metabolism and nutrition (9 papers) and Functional Brain Connectivity Studies (8 papers). Dehan Kong is often cited by papers focused on Statistical Methods and Inference (13 papers), Muscle metabolism and nutrition (9 papers) and Functional Brain Connectivity Studies (8 papers). Dehan Kong collaborates with scholars based in Canada, United States and China. Dehan Kong's co-authors include Hongtu Zhu, Hao Helen Zhang, Fang Yao, Joseph G. Ibrahim, Jacob Levman, Ángel García‐Pedrero, Žiga Emeršič, Indranil Balki, Anne L. Martel and Pascal N. Tyrrell and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and NeuroImage.

In The Last Decade

Dehan Kong

46 papers receiving 897 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dehan Kong Canada 15 259 152 127 120 118 56 915
D. Graf Keyserlingk Germany 16 44 0.2× 119 0.8× 94 0.7× 73 0.6× 228 1.9× 50 1.2k
Gabriela Czanner United Kingdom 21 32 0.1× 108 0.7× 208 1.6× 31 0.3× 539 4.6× 79 1.9k
Cheryl Roe United States 17 54 0.2× 138 0.9× 259 2.0× 7 0.1× 195 1.7× 33 1.2k
Stella Lee United States 17 23 0.1× 301 2.0× 231 1.8× 40 0.3× 74 0.6× 40 1.5k
Marco Lorenzi France 22 24 0.1× 168 1.1× 178 1.4× 57 0.5× 389 3.3× 93 1.6k
Gang Zheng United States 28 560 2.2× 63 0.4× 287 2.3× 77 0.6× 420 3.6× 116 2.3k
Gang Zheng China 18 49 0.2× 11 0.1× 244 1.9× 26 0.2× 93 0.8× 73 925
Weihua Zhou United States 21 54 0.2× 114 0.8× 135 1.1× 18 0.1× 472 4.0× 125 1.6k
Xinghu Zhang China 19 10 0.0× 55 0.4× 157 1.2× 167 1.4× 76 0.6× 109 1.2k
Hongshik Ahn United States 13 29 0.1× 216 1.4× 227 1.8× 21 0.2× 21 0.2× 22 764

Countries citing papers authored by Dehan Kong

Since Specialization
Citations

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

Fields of papers citing papers by Dehan Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dehan Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Dehan Kong. A scholar is included among the top collaborators of Dehan Kong 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 Dehan Kong. Dehan Kong 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.
2.
Whitehead, Hal, et al.. (2025). Composite likelihood inference for analysis of individual animal identification data. Ecological Informatics. 90. 103298–103298.
3.
Pencharz, Paul B., et al.. (2024). Leucine requirement determined in healthy young adult males using the indicator amino acid oxidation method. American Journal of Clinical Nutrition. 120(5). 1063–1070. 1 indexed citations
4.
Rafii, Mahroukh, Beatriz Porto, Paul B. Pencharz, et al.. (2024). Dietary Lysine Requirements of Older Adults Stratified by Age and Sex. Journal of Nutrition. 154(7). 2133–2142. 4 indexed citations
5.
Kong, Dehan, et al.. (2024). Functional principal component analysis with informative observation times. Biometrika. 112(1). asae055–asae055.
6.
Zhou, Ying, et al.. (2024). Promises of parallel outcomes. Biometrika. 111(2). 537–550. 1 indexed citations
7.
8.
Cui, Shenghua, et al.. (2024). Investigation on the damage accumulation mechanisms of landslides in earthquake-prone area: Role of loading-unloading cycles. SHILAP Revista de lepidopterología. 3(1). 59–72. 3 indexed citations
9.
Zhang, Maoyu, Biao Cai, Wenlin Dai, et al.. (2024). Learning brain connectivity in social cognition with dynamic network regression. The Annals of Applied Statistics. 18(4).
10.
Rafii, Mahroukh, Paul B. Pencharz, Dehan Kong, et al.. (2023). Protein intake affects erythrocyte glutathione synthesis in young healthy adults in a repeated-measures trial. American Journal of Clinical Nutrition. 119(2). 371–383. 3 indexed citations
11.
Kong, Dehan, et al.. (2023). Proportional stochastic generalized Lotka–Volterra model with an application to learning microbial community structures. Applied Mathematics and Computation. 448. 127932–127932. 1 indexed citations
12.
So, Stephanie, Catherine Patterson, Christina Belza, et al.. (2023). Assessment of body composition in pediatric intestinal failure: A comparison study. Journal of Parenteral and Enteral Nutrition. 47(7). 920–929.
13.
Lee, Steven J., Emma G. Duerden, Jennifer Stinson, et al.. (2022). Age‐related effects on the anterior and posterior hippocampal volumes in 6–21 year olds: A model selection approach. Hippocampus. 33(1). 37–46. 2 indexed citations
14.
Weissman, Cory R., Itay Hadas, Brett D. M. Jones, et al.. (2021). Predictors of change in suicidal ideation across treatment phases of major depressive disorder: analysis of the STAR*D data. Neuropsychopharmacology. 46(7). 1293–1299. 15 indexed citations
15.
Kong, Dehan, Shu Yang, & Linbo Wang. (2021). Identifiability of causal effects with multiple causes and a binary outcome. Biometrika. 109(1). 265–272. 3 indexed citations
16.
Chery, Daphney R., Biao Han, Ying Zhou, et al.. (2020). Decorin regulates cartilage pericellular matrix micromechanobiology. Matrix Biology. 96. 1–17. 42 indexed citations
17.
Kong, Dehan, Shu Yang, & Linbo Wang. (2019). Multi-cause causal inference with unmeasured confounding and binary outcome. arXiv (Cornell University). 2 indexed citations
18.
Kong, Dehan, Howard D. Bondell, & Weining Shen. (2018). Outlier Detection and Robust Estimation in Nonparametric Regression. International Conference on Artificial Intelligence and Statistics. 208–216. 2 indexed citations
19.
Giovanello, Kelly S., Andrew J. Saykin, Dehan Kong, et al.. (2017). Single-nucleotide polymorphisms are associated with cognitive decline at Alzheimer's disease conversion within mild cognitive impairment patients. PMC. 2 indexed citations
20.
Zhu, Hongtu, Dehan Kong, Yalin Wang, et al.. (2015). BFLCRM: A Bayesian functional linear Cox regression model for predicting time to conversion to Alzheimer’s disease. The Annals of Applied Statistics. 9(4). 2153–2178. 32 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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