Fuzhou Gong

599 total citations
36 papers, 358 citations indexed

About

Fuzhou Gong is a scholar working on Molecular Biology, Mathematical Physics and Applied Mathematics. According to data from OpenAlex, Fuzhou Gong has authored 36 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 12 papers in Mathematical Physics and 10 papers in Applied Mathematics. Recurrent topics in Fuzhou Gong's work include Spectral Theory in Mathematical Physics (7 papers), Single-cell and spatial transcriptomics (6 papers) and Nonlinear Partial Differential Equations (6 papers). Fuzhou Gong is often cited by papers focused on Spectral Theory in Mathematical Physics (7 papers), Single-cell and spatial transcriptomics (6 papers) and Nonlinear Partial Differential Equations (6 papers). Fuzhou Gong collaborates with scholars based in China, France and United States. Fuzhou Gong's co-authors include Feng‐Yu Wang, Liming Wu, Lin Wan, Xiuqin Liu, Ziwei Chen, Yan Fu, Zhi-Ming Ma, Liang Ma, Jun Ding and Shunmin He and has published in prestigious journals such as Physical review. B, Condensed matter, Bioinformatics and PLoS ONE.

In The Last Decade

Fuzhou Gong

33 papers receiving 344 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fuzhou Gong China	13	150	104	71	58	37	36	358
Zhaojuan Wang China	14	71 0.5×	42 0.4×	95 1.3×	33 0.6×	13 0.4×	42	490
Hrvoje Šikić Croatia	12	115 0.8×	250 2.4×	138 1.9×	8 0.1×		39	534
Georg Regensburger Austria	13	189 1.3×	30 0.3×	46 0.6×	4 0.1×	2 0.1×	42	453
Janet Dyson Italy	12	59 0.4×	171 1.6×	80 1.1×	9 0.2×	2 0.1×	32	524
Wanli Wang China	11	172 1.1×	16 0.2×	41 0.6×	42 0.7×	2 0.1×	37	354
Sergi Elizalde United States	12	138 0.9×	11 0.1×	89 1.3×	63 1.1×	8 0.2×	50	705
Sho Matsumoto Japan	10	44 0.3×	22 0.2×	85 1.2×	6 0.1×	10 0.3×	38	298
Vladimir Levin Russia	11	18 0.1×	148 1.4×	53 0.7×	5 0.1×	2 0.1×	45	310
Mario Abundo Italy	10	88 0.6×	31 0.3×	156 2.2×	1 0.0×	8 0.2×	52	294
Tomomi Yokota Japan	21	837 5.6×	124 1.2×	226 3.2×	17 0.3×	10 0.3×	91	1.5k

Countries citing papers authored by Fuzhou Gong

Since Specialization

Citations

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

Fields of papers citing papers by Fuzhou Gong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fuzhou Gong

This figure shows the co-authorship network connecting the top 25 collaborators of Fuzhou Gong. A scholar is included among the top collaborators of Fuzhou Gong 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 Fuzhou Gong. Fuzhou Gong 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

Chen, Ziwei, Bingwei Zhang, Fuzhou Gong, Lin Wan, & Liang Ma. (2023). RobustTree: An adaptive, robust PCA algorithm for embedded tree structure recovery from single-cell sequencing data. Frontiers in Genetics. 14. 1110899–1110899.

He, Jie, Xiaotong Zhang, Lei Duan, et al.. (2022). A repository for the publication and sharing of heterogeneous materials data. Scientific Data. 9(1). 787–787. 15 indexed citations

He, Kun, et al.. (2022). Null-free False Discovery Rate Control Using Decoy Permutations. Acta Mathematicae Applicatae Sinica English Series. 38(2). 235–253. 3 indexed citations

Chen, Ziwei, Fuzhou Gong, Lin Wan, & Liang Ma. (2020). RobustClone: a robust PCA method for tumor clone and evolution inference from single-cell sequencing data. Bioinformatics. 36(11). 3299–3306. 20 indexed citations

Yi, Xinpei, Fuzhou Gong, & Yan Fu. (2020). Transfer posterior error probability estimation for peptide identification. BMC Bioinformatics. 21(1). 173–173. 10 indexed citations

Gong, Fuzhou, et al.. (2020). NeuralEE: A GPU-Accelerated Elastic Embedding Dimensionality Reduction Method for Visualizing Large-Scale scRNA-Seq Data. Frontiers in Genetics. 11. 786–786. 1 indexed citations

Chen, Ziwei, et al.. (2018). DensityPath: an algorithm to visualize and reconstruct cell state-transition path on density landscape for single-cell RNA sequencing data. Bioinformatics. 35(15). 2593–2601. 24 indexed citations

Li, Mengjie, et al.. (2018). A direct approach to false discovery rates by decoy permutations. arXiv (Cornell University). 1 indexed citations

Yi, Xinpei, et al.. (2018). Quality control of single amino acid variations detected by tandem mass spectrometry. Journal of Proteomics. 187. 144–151. 8 indexed citations

10.

Zhai, Linhui, Wantao Ying, Xiaohong Qian, et al.. (2018). PTMiner: Localization and Quality Control of Protein Modifications Detected in an Open Search and Its Application to Comprehensive Post-translational Modification Characterization in Human Proteome*. Molecular & Cellular Proteomics. 18(2). 391–405. 25 indexed citations

11.

Li, Lei M., Xiuxiu Liu, Lin Wang, et al.. (2017). A Novel Dual Eigen-Analysis of Mouse Multi-Tissues’ Expression Profiles Unveils New Perspectives into Type 2 Diabetes. Scientific Reports. 7(1). 5044–5044. 4 indexed citations

12.

Gong, Fuzhou, et al.. (2015). Performances of pure random walk algorithms on constraint satisfaction problems with growing domains. Journal of Combinatorial Optimization. 32(1). 51–66. 7 indexed citations

13.

Gong, Fuzhou, Yong Liu, Yong Liu, et al.. (2014). Spectral gaps of Schrödinger operators and diffusion operators on abstract Wiener spaces. Journal of Functional Analysis. 266(9). 5639–5675. 5 indexed citations

14.

Liu, Xiuqin, Jun Ding, & Fuzhou Gong. (2014). piRNA identification based on motif discovery. Molecular BioSystems. 10(12). 3075–3080. 17 indexed citations

15.

Xue, Tian, Fuzhou Gong, & Shihua Zhang. (2013). Detect taxonomy-specific pathway associations with environmental factors using metagenomic data. 59. 139–144.

16.

Gong, Fuzhou & Jingxiao Zhang. (2007). Flows associated to adapted vector fields on the Wiener space. Journal of Functional Analysis. 253(2). 647–674. 1 indexed citations

17.

Gong, Fuzhou & Liming Wu. (2005). Spectral gap of positive operators and applications. Journal de Mathématiques Pures et Appliquées. 85(2). 151–191. 13 indexed citations

18.

Gong, Fuzhou, Michael Röckner, & Liming Wu. (2001). Poincaré Inequality for Weighted First Order Sobolev Spaces on Loop Spaces. Journal of Functional Analysis. 185(2). 527–563. 13 indexed citations

19.

Gong, Fuzhou & Zhi-Ming Ma. (1998). The Log-Sobolev Inequality on Loop Space over a Compact Riemannian Manifold. Journal of Functional Analysis. 157(2). 599–623. 16 indexed citations

20.

Gong, Fuzhou & Zhi-Ming Ma. (1996). Invariance of Malliavin Fields on Ito's Wiener Space and on Abstract Wiener Space. Journal of Functional Analysis. 138(2). 449–476. 1 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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