Bao Quoc Tang

1.1k total citations
68 papers, 821 citations indexed

About

Bao Quoc Tang is a scholar working on Molecular Biology, Computational Theory and Mathematics and Control and Systems Engineering. According to data from OpenAlex, Bao Quoc Tang has authored 68 papers receiving a total of 821 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 17 papers in Computational Theory and Mathematics and 13 papers in Control and Systems Engineering. Recurrent topics in Bao Quoc Tang's work include Advanced Mathematical Modeling in Engineering (14 papers), Stability and Controllability of Differential Equations (13 papers) and Mathematical Biology Tumor Growth (12 papers). Bao Quoc Tang is often cited by papers focused on Advanced Mathematical Modeling in Engineering (14 papers), Stability and Controllability of Differential Equations (13 papers) and Mathematical Biology Tumor Growth (12 papers). Bao Quoc Tang collaborates with scholars based in China, Austria and Vietnam. Bao Quoc Tang's co-authors include Cung The Anh, Hong Xu, Zongqi Xu, Xiaohai Feng, Peng Lei, Xian‐Fang Li, Fengquan Liu, Zheng Xu, Jinfeng Liang and Peng Xue and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied and Environmental Microbiology and Bioresource Technology.

In The Last Decade

Bao Quoc Tang

61 papers receiving 780 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bao Quoc Tang China 19 289 187 166 147 124 68 821
Yasuhiro Fujita Japan 12 166 0.6× 60 0.3× 76 0.5× 85 0.6× 57 0.5× 61 714
Hongfei Fu China 23 150 0.5× 107 0.6× 31 0.2× 226 1.5× 236 1.9× 102 1.4k
Yusen Wu China 17 214 0.7× 48 0.3× 78 0.5× 314 2.1× 28 0.2× 82 882
Xujun Yang China 21 85 0.3× 64 0.3× 179 1.1× 22 0.1× 33 0.3× 38 1.3k
Martin A. Hjortsø United States 17 536 1.9× 21 0.1× 118 0.7× 113 0.8× 56 0.5× 43 764
Shengkun Li China 23 346 1.2× 70 0.4× 17 0.1× 270 1.8× 63 0.5× 71 1.4k
Lijin Wang China 20 437 1.5× 19 0.1× 65 0.4× 341 2.3× 53 0.4× 73 1.4k
Yuehua Yu China 20 327 1.1× 72 0.4× 31 0.2× 366 2.5× 7 0.1× 51 1.1k
Gang Tian China 24 824 2.9× 10 0.1× 36 0.2× 464 3.2× 14 0.1× 111 2.0k
Liviu Popescu Romania 7 867 3.0× 76 0.4× 15 0.1× 115 0.8× 21 0.2× 29 1.1k

Countries citing papers authored by Bao Quoc Tang

Since Specialization
Citations

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

Fields of papers citing papers by Bao Quoc Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bao Quoc Tang. 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 Bao Quoc Tang. The network helps show where Bao Quoc Tang may publish in the future.

Co-authorship network of co-authors of Bao Quoc Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Bao Quoc Tang. A scholar is included among the top collaborators of Bao Quoc Tang 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 Bao Quoc Tang. Bao Quoc Tang 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.
Morgan, J., et al.. (2025). Singular limit and convergence rate via projection method in a model for plant-growth dynamics with autotoxicity. Journal of Differential Equations. 452. 113797–113797.
2.
Khan, Qasim, et al.. (2025). Turing instability suppressed and induced by multiplicative noise in Brusselator system. Communications in Nonlinear Science and Numerical Simulation. 151. 109092–109092. 1 indexed citations
3.
Morgan, J. D., et al.. (2024). On quasi-linear reaction diffusion systems arising from compartmental SEIR models. Nonlinear Differential Equations and Applications NoDEA. 31(5). 98–98. 1 indexed citations
4.
Tang, Bao Quoc, et al.. (2024). Rigorous Derivation of Michaelis–Menten Kinetics in the Presence of Slow Diffusion. SIAM Journal on Mathematical Analysis. 56(5). 5995–6024. 1 indexed citations
5.
Egan, Malcolm & Bao Quoc Tang. (2024). Macroscopic limit for stochastic chemical reactions involving diffusion and spatial heterogeneity. Stochastic Processes and their Applications. 176. 104433–104433.
6.
Fellner, Klemens, et al.. (2023). Global Renormalised Solutions and Equilibration of Reaction–Diffusion Systems with Nonlinear Diffusion. Journal of Nonlinear Science. 33(4).
7.
Sun, Chunyou, Bao Quoc Tang, & Juan Yang. (2023). Analysis of mass controlled reaction–diffusion systems with nonlinearities having critical growth rates. Journal of Evolution Equations. 23(3).
8.
Zhao, Yangyang, Guichun Wu, Baodian Guo, et al.. (2023). SstF, a novel sulforaphane‐sensing transcription factor of Xanthomonas campestris , is required for sulforaphane tolerance and virulence. Molecular Plant Pathology. 24(5). 452–465. 3 indexed citations
9.
Tang, Bao Quoc, et al.. (2021). Quasilinear parabolic equations with first order terms and L1-data in moving domains. Nonlinear Analysis. 206. 112233–112233. 1 indexed citations
10.
Egan, Malcolm, Bayram Cevdet Akdeniz, & Bao Quoc Tang. (2021). Equilibrium Signaling in Spatially Inhomogeneous Diffusion and External Forces. IEEE Transactions on Molecular Biological and Multi-Scale Communications. 7(2). 106–110. 2 indexed citations
11.
Egan, Malcolm, Bayram Cevdet Akdeniz, & Bao Quoc Tang. (2021). Stochastic reaction and diffusion systems in molecular communications: Recent results and open problems. Digital Signal Processing. 124. 103117–103117. 6 indexed citations
12.
Fitzgibbon, W. E., Jeffrey J. Morgan, Bao Quoc Tang, & Hong‐Ming Yin. (2021). Reaction-Diffusion-Advection Systems with Discontinuous Diffusion and Mass Control. SIAM Journal on Mathematical Analysis. 53(6). 6771–6803. 10 indexed citations
13.
Morgan, J. D. & Bao Quoc Tang. (2020). Boundedness for reaction–diffusion systems with Lyapunov functions and intermediate sum conditions. Nonlinearity. 33(7). 3105–3133. 10 indexed citations
14.
Akdeniz, Bayram Cevdet, Malcolm Egan, & Bao Quoc Tang. (2020). Equilibrium Signaling: Molecular Communication Robust to Geometry Uncertainties. IEEE Transactions on Communications. 69(2). 752–765. 7 indexed citations
15.
Morgan, Jeffrey J. & Bao Quoc Tang. (2020). Indirect Diffusion Effect in Degenerate Reaction-Diffusion Systems. Durham Research Online (Durham University). 7 indexed citations
16.
Tang, Bao Quoc, et al.. (2018). Trend to equilibrium of renormalized solutions to reaction–cross-diffusion systems. Applied Mathematics Letters. 88. 81–89. 2 indexed citations
17.
Jiang, Yongxiang, Bao Quoc Tang, Zongqi Xu, et al.. (2016). Improvement of poly-γ-glutamic acid biosynthesis in a moving bed biofilm reactor by Bacillus subtilis NX-2. Bioresource Technology. 218. 360–366. 27 indexed citations
18.
Xu, Zheng, Zheng Xu, Bao Quoc Tang, et al.. (2015). Construction and co-expression of polycistronic plasmids encoding thermophilic l-arabinose isomerase and hyperthermophilic β-galactosidase for single-step production of d-tagatose. Biochemical Engineering Journal. 109. 28–34. 16 indexed citations
19.
Anh, Cung The, Bao Quoc Tang, & Nguyen Van Thanh. (2012). Regularity of random attractors for stochastic semilinear degenerate parabolic equations. SHILAP Revista de lepidopterología. 12 indexed citations
20.
Anh, Cung The & Bao Quoc Tang. (2011). Pullback attractors for generalized Korteweg–de Vries–Burgers equations. Journal of Mathematical Analysis and Applications. 388(2). 899–912. 4 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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