Bingchen Liu

1.8k total citations · 1 hit paper
127 papers, 871 citations indexed

About

Bingchen Liu is a scholar working on Applied Mathematics, Control and Systems Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Bingchen Liu has authored 127 papers receiving a total of 871 indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Applied Mathematics, 39 papers in Control and Systems Engineering and 37 papers in Computational Theory and Mathematics. Recurrent topics in Bingchen Liu's work include Nonlinear Partial Differential Equations (49 papers), Advanced Mathematical Modeling in Engineering (37 papers) and Stability and Controllability of Differential Equations (30 papers). Bingchen Liu is often cited by papers focused on Nonlinear Partial Differential Equations (49 papers), Advanced Mathematical Modeling in Engineering (37 papers) and Stability and Controllability of Differential Equations (30 papers). Bingchen Liu collaborates with scholars based in China, United States and Saudi Arabia. Bingchen Liu's co-authors include Fengjie Li, Sining Zheng, Zhizhan Xu, Shanchuan Lin, Jiashi Li, Tiancun Xiao, В. Л. Кузнецов, Peter P. Edwards, Sergio González-Cortés and Jiu‐Yao Wang and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and Journal of Colloid and Interface Science.

In The Last Decade

Bingchen Liu

109 papers receiving 830 citations

Hit Papers

Common Diffusion Noise Schedules and Sample Steps are Flawed 2024 2026 2025 2024 10 20 30 40

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bingchen Liu China 16 222 168 167 142 120 127 871
Fuchang Gao United States 14 102 0.5× 80 0.5× 84 0.5× 103 0.7× 113 0.9× 43 1.1k
Gershon Wolansky Israel 16 309 1.4× 190 1.1× 41 0.2× 131 0.9× 89 0.7× 69 1.2k
Xu Yang China 17 72 0.3× 75 0.4× 48 0.3× 157 1.1× 39 0.3× 108 986
Ren-Hong Wang China 18 101 0.5× 241 1.4× 14 0.1× 72 0.5× 76 0.6× 123 1.3k
Ping Zhou United States 26 96 0.4× 57 0.3× 696 4.2× 1.6k 11.3× 199 1.7× 162 2.5k
Minoru Tanaka Japan 17 277 1.2× 64 0.4× 144 0.9× 183 1.3× 124 1.0× 159 1.1k
Vasileios Maroulas United States 13 28 0.1× 206 1.2× 51 0.3× 49 0.3× 93 0.8× 57 582
Yingjie Liang China 18 79 0.4× 55 0.3× 54 0.3× 23 0.2× 65 0.5× 74 1000

Countries citing papers authored by Bingchen Liu

Since Specialization
Citations

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

Fields of papers citing papers by Bingchen Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bingchen Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Bingchen Liu. A scholar is included among the top collaborators of Bingchen Liu 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 Bingchen Liu. Bingchen Liu 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, Yuhao, Bingchen Liu, Jing Li, et al.. (2025). Design of high-performance proton batteries by reducing interstitial water molecules in copper-iron Prussian analogues. Journal of Colloid and Interface Science. 690. 137342–137342. 2 indexed citations
2.
Yu, Qiuning, Fujin Wang, Zhi Zhai, et al.. (2025). Multi-time scale feature extraction for early prediction of battery RUL and knee point using a hybrid deep learning approach. Journal of Energy Storage. 117. 116024–116024. 8 indexed citations
3.
Song, Kai, Hongxiang Xu, Chengjun Jing, et al.. (2025). Curvature-Directed Selective C–C Bond Cleavage Driven by Electric Fields. Journal of the American Chemical Society. 147(44). 40825–40832.
4.
Zhao, Zhibin, Bingchen Liu, Fujin Wang, et al.. (2024). Exploration of Imbalanced Regression in state-of-health estimation of Lithium-ion batteries. Journal of Energy Storage. 105. 114542–114542. 4 indexed citations
5.
Liu, Bingchen, et al.. (2024). Thalassinoides ichnofabrics from the Zhangxia Formation (Cambiran Miaolingian series) in Henan province: Bioturbators as Ecosystem engineers. Palaeogeography Palaeoclimatology Palaeoecology. 640. 112103–112103. 1 indexed citations
6.
Lin, Shanchuan, et al.. (2024). Common Diffusion Noise Schedules and Sample Steps are Flawed. 5392–5399. 46 indexed citations breakdown →
7.
Liu, Bingchen, et al.. (2024). Classification of Initial Energy in a Pseudo-parabolic Equation with Variable Exponents and Singular Potential. Bulletin of the Iranian Mathematical Society.. 50(1). 1 indexed citations
8.
Wang, Fujin, Zhi Zhai, Bingchen Liu, et al.. (2023). Open access dataset, code library and benchmarking deep learning approaches for state-of-health estimation of lithium-ion batteries. Journal of Energy Storage. 77. 109884–109884. 44 indexed citations
9.
Xia, Yingjie, et al.. (2023). Numerical Simulation of Failure Modes in Irregular Columnar Jointed Rock Masses under Dynamic Loading. Mathematics. 11(17). 3790–3790. 4 indexed citations
10.
Liu, Bingchen, et al.. (2023). Note on a higher order pseudo‐parabolic equation with variable exponents. Mathematical Methods in the Applied Sciences. 46(16). 16840–16856. 2 indexed citations
11.
Xue, Hongtao, et al.. (2022). Diagnosis method based on hidden Markov model and Weibull mixture model for mechanical faults of in-wheel motors. Measurement Science and Technology. 33(11). 114002–114002. 8 indexed citations
12.
Zhang, Chao, Dacheng Tao, Tao Hu, & Bingchen Liu. (2020). Generalization Bounds of Multitask Learning From Perspective of Vector-Valued Function Learning. IEEE Transactions on Neural Networks and Learning Systems. 32(5). 1906–1919. 8 indexed citations
13.
Liu, Bingchen, et al.. (2020). Differential expression of the seed-specific gene ABCG20 between seedless and seeded grapes and its roles in tomato seed development. South African Journal of Botany. 131. 428–436. 6 indexed citations
14.
Zhu, Yizhe, Jianwen Xie, Bingchen Liu, & Ahmed Elgammal. (2019). Learning Feature-to-Feature Translator by Alternating Back-Propagation for Zero-Shot Learning.. arXiv (Cornell University). 2 indexed citations
15.
Liu, Bingchen, et al.. (2019). A Cauchy problem of spatial-weighted reaction–diffusion equations. Applied Mathematics Letters. 92. 128–133. 4 indexed citations
16.
Liu, Bingchen, et al.. (2017). Blow-up analyses in parabolic equations with anisotropic nonstandard damping source. Journal of Mathematical Analysis and Applications. 458(1). 242–264. 2 indexed citations
17.
Liu, Bingchen & Fengjie Li. (2016). The profile and boundary layer for parabolic system with critical simultaneous blow-up exponent. Applied Mathematics Letters. 59. 94–100. 3 indexed citations
18.
Liu, Bingchen, Fengjie Li, & Sining Zheng. (2011). Critical Non-simultaneous Blow-up Exponents for a Reaction-diffusion System. Advances in Mathematics. 2 indexed citations
19.
Wang, Lihua, Ning Wang, Xiaoyu Lu, et al.. (2011). Rituximab inhibits Kv1.3 channels in human B lymphoma cells via activation of FcγRIIB receptors. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1823(2). 505–513. 15 indexed citations
20.
Zheng, Sining, Bingchen Liu, & Fengjie Li. (2005). Blow-up rate estimates for a doubly coupled reaction–diffusion system. Journal of Mathematical Analysis and Applications. 312(2). 576–595. 6 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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