Da-Quan Jiang

715 total citations
30 papers, 440 citations indexed

About

Da-Quan Jiang is a scholar working on Statistical and Nonlinear Physics, Molecular Biology and Mathematical Physics. According to data from OpenAlex, Da-Quan Jiang has authored 30 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Statistical and Nonlinear Physics, 14 papers in Molecular Biology and 4 papers in Mathematical Physics. Recurrent topics in Da-Quan Jiang's work include Advanced Thermodynamics and Statistical Mechanics (15 papers), Gene Regulatory Network Analysis (11 papers) and stochastic dynamics and bifurcation (9 papers). Da-Quan Jiang is often cited by papers focused on Advanced Thermodynamics and Statistical Mechanics (15 papers), Gene Regulatory Network Analysis (11 papers) and stochastic dynamics and bifurcation (9 papers). Da-Quan Jiang collaborates with scholars based in China, United States and Cyprus. Da-Quan Jiang's co-authors include Minping Qian, Min Qian, Hao Ge, Min Qian, Chen Jia, Fuxi Zhang, Yue Wang, Da Zhou, Youming Li and Xufeng Liu and has published in prestigious journals such as PLoS ONE, Journal of Theoretical Biology and Communications in Mathematical Physics.

In The Last Decade

Da-Quan Jiang

27 papers receiving 421 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Da-Quan Jiang China	11	311	144	60	56	53	30	440
Chulan Kwon South Korea	16	455 1.5×	63 0.4×	66 1.1×	139 2.5×	37 0.7×	39	633
Suman Kumar Banik India	15	389 1.3×	236 1.6×	36 0.6×	266 4.8×	16 0.3×	53	697
David Hartich Germany	11	418 1.3×	152 1.1×	172 2.9×	136 2.4×	58 1.1×	13	500
M. A. Pustovoît Russia	13	320 1.0×	255 1.8×	44 0.7×	105 1.9×	55 1.0×	24	605
Steve Guillouzic Canada	6	340 1.1×	85 0.6×	46 0.8×	26 0.5×	29 0.5×	6	501
Sosuke Ito Japan	13	530 1.7×	112 0.8×	172 2.9×	161 2.9×	79 1.5×	32	633
Mark M. Millonas United States	15	577 1.9×	161 1.1×	95 1.6×	158 2.8×	15 0.3×	20	819
Riccardo Rao Luxembourg	6	245 0.8×	132 0.9×	56 0.9×	58 1.0×	50 0.9×	10	350
Raphaël Chétrite France	14	645 2.1×	76 0.5×	101 1.7×	308 5.5×	43 0.8×	22	778
Ruoshi Yuan China	14	143 0.5×	229 1.6×	26 0.4×	38 0.7×	6 0.1×	31	414

Countries citing papers authored by Da-Quan Jiang

Since Specialization

Citations

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

Fields of papers citing papers by Da-Quan Jiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Da-Quan Jiang. 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 Da-Quan Jiang. The network helps show where Da-Quan Jiang may publish in the future.

Co-authorship network of co-authors of Da-Quan Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Da-Quan Jiang. A scholar is included among the top collaborators of Da-Quan Jiang 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 Da-Quan Jiang. Da-Quan Jiang 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:

20 of 20 papers shown

Jia, Chen, Da-Quan Jiang, & Bingjie Wu. (2024). Large deviations for the empirical measure and empirical flow of Markov renewal processes with a countable state space. Electronic Journal of Probability. 29(none).

Jiang, Da-Quan, et al.. (2023). Alpha-solanine inhibits endothelial inflammation via nuclear factor kappa B signaling pathway. Advances in Clinical and Experimental Medicine. 32(8). 909–920. 6 indexed citations

Jiang, Da-Quan, et al.. (2022). Potato Alkaloids α-Solanine and α-Chaconine Promote bFGF and VEGF Expression in Vein and Adjacent Tissues in the Rabbit Model of Phlebitis. Pharmacognosy Magazine. 19(1). 41–48. 1 indexed citations

Wang, Zhenyi, et al.. (2021). A data-driven method to learn a jump diffusion process from aggregate biological gene expression data. Journal of Theoretical Biology. 532. 110923–110923. 4 indexed citations

Li, Youming, Da-Quan Jiang, & Chen Jia. (2021). Steady-state joint distribution for first-order stochastic reaction kinetics. Physical review. E. 104(2). 24408–24408. 2 indexed citations

Jiang, Da-Quan, et al.. (2021). Multivariate locally adaptive kernel density estimation. Communications in Statistics - Simulation and Computation. 52(9). 4431–4444. 2 indexed citations

Qian, Minping & Da-Quan Jiang. (2017). Non-equilibrium stochastic dynamics. Scientia Sinica Mathematica. 47(12). 1703–1716.

Jiang, Da-Quan, Yue Wang, & Da Zhou. (2017). Phenotypic equilibrium as probabilistic convergence in multi-phenotype cell population dynamics. PLoS ONE. 12(2). e0170916–e0170916. 10 indexed citations

Chen, Yong, Chen Jia, & Da-Quan Jiang. (2017). Fluctuation-dissipation theorems for inhomogeneous Markov jump processes and a biochemical application. Journal of Mathematical Physics. 58(2). 2 indexed citations

10.

Ge, Hao, Chen Jia, & Da-Quan Jiang. (2016). Cycle symmetry, limit theorems, and fluctuation theorems for diffusion processes on the circle. Stochastic Processes and their Applications. 127(6). 1897–1925. 5 indexed citations

11.

Jia, Chen, Da-Quan Jiang, & Minping Qian. (2016). Cycle symmetries and circulation fluctuations for discrete-time and continuous-time Markov chains. The Annals of Applied Probability. 26(4). 14 indexed citations

12.

Jia, Chen, Da-Quan Jiang, & Minping Qian. (2014). An allosteric model of the inositol trisphosphate receptor with nonequilibrium binding. Physical Biology. 11(5). 56001–56001. 7 indexed citations

13.

Jia, Chen, Xufeng Liu, Minping Qian, Da-Quan Jiang, & Yuping Zhang. (2011). Kinetic behavior of the general modifier mechanism of Botts and Morales with non-equilibrium binding. Journal of Theoretical Biology. 296. 13–20. 9 indexed citations

14.

Ge, Hao, Da-Quan Jiang, & Min Qian. (2006). Reversibility and entropy production of inhomogeneous Markov chains. Journal of Applied Probability. 43(4). 1028–1043. 2 indexed citations

15.

Ge, Hao, Da-Quan Jiang, & Min Qian. (2006). Reversibility and entropy production of inhomogeneous Markov chains. Journal of Applied Probability. 43(4). 1028–1043. 14 indexed citations

16.

Ge, Hao, Da-Quan Jiang, & Min Qian. (2006). A Simple Discrete Model of Brownian Motors: Time-periodic Markov Chains. Journal of Statistical Physics. 123(4). 831–859. 13 indexed citations

17.

Jiang, Da-Quan, Min Qian, & Minping Qian. (2004). Entropy production, information gain and Lyapunov exponents of random hyperbolic dynamical systems. Forum Mathematicum. 16(2). 2 indexed citations

18.

Jiang, Da-Quan, Min Qian, & Minping Qian. (2004). Mathematical Theory of Nonequilibrium Steady States. Lecture notes in mathematics. 167 indexed citations

19.

Jiang, Da-Quan & Fuxi Zhang. (2003). The Green–Kubo formula and power spectrum of reversible Markov processes. Journal of Mathematical Physics. 44(10). 4681–4689. 11 indexed citations

20.

Jiang, Da-Quan, Min Qian, & Minping Qian. (2003). Mathematical Theory of Nonequilibrium Steady States: On the Frontier of Probability and Dynamical Systems. CERN Document Server (European Organization for Nuclear Research). 61 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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