Bengong Zhang

1.0k total citations · 1 hit paper
47 papers, 635 citations indexed

About

Bengong Zhang is a scholar working on Molecular Biology, Statistical and Nonlinear Physics and Computational Theory and Mathematics. According to data from OpenAlex, Bengong Zhang has authored 47 papers receiving a total of 635 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 10 papers in Statistical and Nonlinear Physics and 10 papers in Computational Theory and Mathematics. Recurrent topics in Bengong Zhang's work include Nonlinear Waves and Solitons (10 papers), Computational Drug Discovery Methods (9 papers) and RNA and protein synthesis mechanisms (8 papers). Bengong Zhang is often cited by papers focused on Nonlinear Waves and Solitons (10 papers), Computational Drug Discovery Methods (9 papers) and RNA and protein synthesis mechanisms (8 papers). Bengong Zhang collaborates with scholars based in China, United States and Japan. Bengong Zhang's co-authors include Jie Liu, Yueying Zhu, Long Chen, Guo‐Wei Wei, Zhengrong Liu, Ke Lü, Ekaterina Merkurjev, Jiang Jian, Tianshou Zhou and Chenxi Yang and has published in prestigious journals such as Chemical Reviews, The Journal of Chemical Physics and SHILAP Revista de lepidopterología.

In The Last Decade

Bengong Zhang

40 papers receiving 615 citations

Hit Papers

Machine Learning Methods for Small Data Challenges in Mol... 2023 2026 2024 2025 2023 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bengong Zhang China 12 194 158 145 117 85 47 635
Limin Wang China 23 104 0.5× 155 1.0× 109 0.8× 107 0.9× 60 0.7× 112 1.5k
Xuedong Zheng China 16 256 1.3× 72 0.5× 152 1.0× 17 0.1× 64 0.8× 36 586
Vasileios Maroulas United States 13 57 0.3× 206 1.3× 38 0.3× 93 0.8× 20 0.2× 57 582
Fangyue Chen China 14 107 0.6× 146 0.9× 143 1.0× 21 0.2× 11 0.1× 95 599
Alejandro P. Riascos Mexico 14 237 1.2× 23 0.1× 300 2.1× 17 0.1× 96 1.1× 42 616
Thomas Lorenz Germany 14 56 0.3× 214 1.4× 50 0.3× 16 0.1× 126 1.5× 52 594
Xiang Xu China 16 83 0.4× 124 0.8× 24 0.2× 39 0.3× 651 7.7× 71 1.2k
Ekaterina Merkurjev United States 11 86 0.4× 159 1.0× 60 0.4× 98 0.8× 4 0.0× 19 591
Helmut Podhaisky Germany 16 91 0.5× 151 1.0× 82 0.6× 23 0.2× 46 0.5× 44 721
Jiang-Lun Wu United Kingdom 17 58 0.3× 214 1.4× 91 0.6× 9 0.1× 230 2.7× 94 1.1k

Countries citing papers authored by Bengong Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Bengong Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bengong Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Bengong Zhang. A scholar is included among the top collaborators of Bengong Zhang 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 Bengong Zhang. Bengong Zhang 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.
Jian, Jiang, Chunhuan Zhang, Ke Lü, et al.. (2025). A review of machine learning methods for imbalanced data challenges in chemistry. Chemical Science. 16(18). 7637–7658. 7 indexed citations
3.
Guo, Yanbing, et al.. (2024). Inferring Transcriptional Bursting Kinetics Using Gene Expression Model with Memory and Crosstalk from scRNA-seq Data. Journal of Computational Biophysics and Chemistry. 23(6). 765–779.
4.
Lü, Ke, Long Chen, Yueying Zhu, et al.. (2024). Transformer technology in molecular science. Wiley Interdisciplinary Reviews Computational Molecular Science. 14(4). 22 indexed citations
5.
Wang, Yi, Yajie Meng, Xianfang Tang, et al.. (2024). Automatic collaborative learning for drug repositioning. Engineering Applications of Artificial Intelligence. 139. 109653–109653. 8 indexed citations
6.
Wang, Jiaqi, et al.. (2024). Transcriptional bursting dynamics in gene expression. Frontiers in Genetics. 15. 1451461–1451461. 3 indexed citations
7.
Jiang, Jian, Long Chen, Ke Lü, et al.. (2024). A review of transformer models in drug discovery and beyond. Journal of Pharmaceutical Analysis. 15(6). 101081–101081. 16 indexed citations
9.
Wang, Xunxun, et al.. (2023). cgRNASP: coarse-grained statistical potentials with residue separation for RNA structure evaluation. NAR Genomics and Bioinformatics. 5(1). lqad016–lqad016. 11 indexed citations
10.
Chen, Long, Jian Jiang, Hongsong Feng, et al.. (2023). Machine learning study of the extended drug–target interaction network informed by pain related voltage-gated sodium channels. Pain. 165(4). 908–921. 12 indexed citations
11.
Guo, Yanbing, et al.. (2023). MLBKFD: Probabilistic Model Methods to Infer Pseudo Trajectories from Single-cell Data. Journal of Computational Biophysics and Chemistry. 23(6). 723–739.
12.
Jiang, Jian, Yueying Zhu, Dong Chen, et al.. (2023). TIDAL: Topology-Inferred Drug Addiction Learning. Journal of Chemical Information and Modeling. 63(5). 1472–1489. 13 indexed citations
13.
Guo, Zhihao, et al.. (2022). RNAStat: An Integrated Tool for Statistical Analysis of RNA 3D Structures. SHILAP Revista de lepidopterología. 1. 809082–809082. 4 indexed citations
14.
Zhang, Bengong, et al.. (2022). Ab initio predictions for 3D structure and stability of single- and double-stranded DNAs in ion solutions. PLoS Computational Biology. 18(10). e1010501–e1010501. 7 indexed citations
15.
Shi, Ya-Zhou, et al.. (2021). SS-RNN: A Strengthened Skip Algorithm for Data Classification Based on Recurrent Neural Networks. Frontiers in Genetics. 12. 746181–746181. 2 indexed citations
16.
Zhang, Bengong, et al.. (2019). Analytical results for a generalized model of bursty gene expression with molecular memory. Physical review. E. 100(1). 12128–12128. 11 indexed citations
17.
Zhang, Bengong, Wei Bo Li, Ya-Zhou Shi, Xiaoping Liu, & Luonan Chen. (2017). Detecting causality from short time-series data based on prediction of topologically equivalent attractors. BMC Systems Biology. 11(S7). 128–128. 7 indexed citations
18.
Zhang, Bengong. (2013). Analytical and Multishaped Solitary Wave Solutions for Extended Reduced Ostrovsky Equation. Abstract and Applied Analysis. 2013. 1–8. 2 indexed citations
19.
Zhang, Bengong, Gouhei Tanaka, Luonan Chen, & Kazuyuki Aihara. (2012). Dynamical modeling of chronic myeloid leukemia progression and the development of mutations. 2 indexed citations
20.
Zhang, Bengong, Zhengrong Liu, & Qing Xiao. (2010). New exact solitary wave and multiple soliton solutions of quantum Zakharov–Kuznetsov equation. Applied Mathematics and Computation. 217(1). 392–402. 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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