Zhenlong Chen

4.1k total citations · 1 hit paper
130 papers, 2.9k citations indexed

About

Zhenlong Chen is a scholar working on Finance, Molecular Biology and Mathematical Physics. According to data from OpenAlex, Zhenlong Chen has authored 130 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Finance, 29 papers in Molecular Biology and 17 papers in Mathematical Physics. Recurrent topics in Zhenlong Chen's work include Financial Risk and Volatility Modeling (25 papers), Stochastic processes and financial applications (17 papers) and Caveolin-1 and cellular processes (13 papers). Zhenlong Chen is often cited by papers focused on Financial Risk and Volatility Modeling (25 papers), Stochastic processes and financial applications (17 papers) and Caveolin-1 and cellular processes (13 papers). Zhenlong Chen collaborates with scholars based in China, United States and Canada. Zhenlong Chen's co-authors include Michael V. Volin, Shiva Shahrara, Hatem A. Elshabrawy, Richard D. Minshall, Wenyu Ruan, Cheng‐Cao Sun, Dejia Li, Asrar B. Malik, Shiva Arami and William Swedler and has published in prestigious journals such as Journal of Neuroscience, Blood and The Journal of Immunology.

In The Last Decade

Zhenlong Chen

116 papers receiving 2.9k citations

Hit Papers

The pathogenic role of angiogenesis in rheumatoid arthritis 2015 2026 2018 2022 2015 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhenlong Chen China 32 1.2k 504 418 343 314 130 2.9k
Lei Jiang China 38 2.3k 2.0× 736 1.5× 603 1.4× 232 0.7× 407 1.3× 248 5.1k
Yan Huang China 34 1.7k 1.5× 674 1.3× 224 0.5× 237 0.7× 358 1.1× 229 3.7k
Yuwei Li China 33 1.3k 1.2× 537 1.1× 378 0.9× 263 0.8× 614 2.0× 191 3.5k
Rui Li China 36 1.7k 1.5× 611 1.2× 229 0.5× 196 0.6× 491 1.6× 176 3.8k
Minoru Takemoto Japan 26 1.3k 1.1× 205 0.4× 200 0.5× 184 0.5× 188 0.6× 138 2.7k
Sudip Das India 20 1.1k 0.9× 649 1.3× 199 0.5× 141 0.4× 546 1.7× 68 3.0k
Michael R. Barnes United Kingdom 39 1.8k 1.6× 275 0.5× 285 0.7× 132 0.4× 218 0.7× 120 4.4k
Xun Xu China 46 1.8k 1.5× 317 0.6× 287 0.7× 186 0.5× 165 0.5× 414 8.3k
Guang Jin China 38 1.5k 1.3× 410 0.8× 316 0.8× 202 0.6× 353 1.1× 274 4.5k
Rong Li China 26 1.5k 1.3× 652 1.3× 303 0.7× 241 0.7× 200 0.6× 99 3.3k

Countries citing papers authored by Zhenlong Chen

Since Specialization
Citations

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

Fields of papers citing papers by Zhenlong Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenlong Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenlong Chen. A scholar is included among the top collaborators of Zhenlong Chen 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 Zhenlong Chen. Zhenlong Chen 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.
Chen, Zhenlong, et al.. (2025). A RGARCH-CARR-SK model: A new high-frequency volatility forecasting and risk measurement model based on dynamic higher moments and generalized realized measures. The North American Journal of Economics and Finance. 77. 102408–102408. 1 indexed citations
2.
Dai, Xiayun, et al.. (2024). Occupational noise and genetic variants in stress hormone biosynthesis-based genes and rates of blood lipid changes in China: A five-year longitudinal study. International Journal of Hygiene and Environmental Health. 260. 114404–114404. 1 indexed citations
3.
Chen, Zhenlong, et al.. (2024). Portfolio selection via high-dimensional stochastic factor Copula. Finance research letters. 67. 105751–105751. 1 indexed citations
4.
Chen, Zhenlong, et al.. (2024). A MS SHARV-MIDAS model: a new regime-switching model for volatility forecasting. Applied Economics Letters. 32(20). 2940–2945. 1 indexed citations
5.
Chen, Zhenlong, et al.. (2024). Can the ‘good-bad’ volatility and the leverage effect improve the prediction of cryptocurrency volatility?—Evidence from SHARV-MGJR model. Finance research letters. 67. 105757–105757. 2 indexed citations
6.
Chen, Zhenlong, et al.. (2024). A new high-frequency volatility forecasting model for crude oil market—evidence from RGARCH-CARR-MIDAS model. Applied Economics Letters. 33(5). 712–718.
7.
Chen, Zhenlong, Jacob M. Haus, Luisa A. DiPietro, Timothy J. Koh, & Richard D. Minshall. (2023). Neutralization of excessive CCL28 improves wound healing in diabetic mice. Frontiers in Pharmacology. 14. 1087924–1087924. 6 indexed citations
9.
Qiu, Lingling, et al.. (2023). The effects of construction vibration on stone cultural relics: a case study from the Qingdao Museum. Heritage Science. 11(1). 6 indexed citations
10.
Dai, Xiayun, Lisha Wu, Tian Xu, et al.. (2021). Stress hormone biosynthesis-based genes and lifestyle moderated the association of noise exposure with blood pressure in a cohort of Chinese tobacco factory workers: A cross-sectional analysis. International Journal of Hygiene and Environmental Health. 239. 113868–113868. 7 indexed citations
11.
Ren, Pengfei, Hao Xu, Dazhen Tang, et al.. (2019). Pore structure and fractal characterization of main coal-bearing synclines in western Guizhou, China. Journal of Natural Gas Science and Engineering. 63. 58–69. 34 indexed citations
12.
Bonds, Jacqueline A., Aashutosh Shetti, Zhenlong Chen, et al.. (2019). Depletion of Caveolin-1 in Type 2 Diabetes Model Induces Alzheimer's Disease Pathology Precursors. Journal of Neuroscience. 39(43). 8576–8583. 42 indexed citations
13.
Chen, Yali, Meibian Zhang, Wei Qiu, et al.. (2019). Prevalence and determinants of noise-induced hearing loss among workers in the automotive industry in China: A pilot study. Journal of Occupational Health. 61(5). 387–397. 45 indexed citations
14.
Dai, Xiayun, Qifei Deng, Jichao Li, et al.. (2019). Association of urinary metal profiles with serum uric acid: a cross-sectional study of traffic policemen in Wuhan, China. BMJ Open. 9(5). e022542–e022542. 8 indexed citations
15.
Chen, Zhenlong, Suellen D. Oliveira, Adriana M. Zimnicka, et al.. (2018). Reciprocal regulation of eNOS and caveolin-1 functions in endothelial cells. Molecular Biology of the Cell. 29(10). 1190–1202. 88 indexed citations
17.
Bakhshi, Farnaz R., Mao Mao, Ayesha N. Shajahan‐Haq, et al.. (2013). Nitrosation‐Dependent Caveolin 1 Phosphorylation, Ubiquitination, and Degradation and its Association with Idiopathic Pulmonary Arterial Hypertension. Pulmonary Circulation. 3(4). 816–830. 55 indexed citations
18.
Chen, Zhenlong. (2011). Characteristics and origin of coal reservoir pressure in the west Guizhou area. Journal of China University of Mining and Technology. 2 indexed citations
19.
Danilov, Sergei M., Sergey Kalinin, Zhenlong Chen, et al.. (2010). Angiotensin I-Converting Enzyme Gln1069Arg Mutation Impairs Trafficking to the Cell Surface Resulting in Selective Denaturation of the C-Domain. PLoS ONE. 5(5). e10438–e10438. 28 indexed citations
20.
Chen, Zhenlong. (2009). Preservation and deliverability characteristics of coalbed methane in east margin of Ordos Basin. Meitan xuebao. 5 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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