Bingbo Wang

735 total citations
29 papers, 544 citations indexed

About

Bingbo Wang is a scholar working on Molecular Biology, Statistical and Nonlinear Physics and Computational Theory and Mathematics. According to data from OpenAlex, Bingbo Wang has authored 29 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 7 papers in Statistical and Nonlinear Physics and 6 papers in Computational Theory and Mathematics. Recurrent topics in Bingbo Wang's work include Bioinformatics and Genomic Networks (23 papers), Gene expression and cancer classification (10 papers) and Complex Network Analysis Techniques (7 papers). Bingbo Wang is often cited by papers focused on Bioinformatics and Genomic Networks (23 papers), Gene expression and cancer classification (10 papers) and Complex Network Analysis Techniques (7 papers). Bingbo Wang collaborates with scholars based in China, Canada and United States. Bingbo Wang's co-authors include Lin Gao, Xingli Guo, Yue Deng, Liang Yu, Hao Wu, Xiaofei Yang, Xinghua Shi, Fei Song, Yong Gao and Xiaoke Ma and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

Bingbo Wang

27 papers receiving 536 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bingbo Wang China	12	378	147	86	77	55	29	544
Laura Cantini France	12	447 1.2×	127 0.9×	36 0.4×	48 0.6×	7 0.1×	27	589
Malay Bhattacharyya India	13	262 0.7×	143 1.0×	20 0.2×	40 0.5×	18 0.3×	58	465
Haiyan Hu United States	20	833 2.2×	278 1.9×	48 0.6×	71 0.9×	19 0.3×	51	1.0k
Bahar Yilmazel United States	6	354 0.9×	33 0.2×	35 0.4×	63 0.8×	16 0.3×	9	447
Zikai Wu China	9	258 0.7×	65 0.4×	28 0.3×	154 2.0×	6 0.1×	38	515
Jiancheng Zhong China	13	540 1.4×	96 0.7×	28 0.3×	203 2.6×	6 0.1×	27	723
Ashish Choudhary India	10	455 1.2×	28 0.2×	16 0.2×	107 1.4×	53 1.0×	25	548
Vincenzo Bonnici Italy	11	226 0.6×	83 0.6×	19 0.2×	60 0.8×	33 0.6×	30	432

Countries citing papers authored by Bingbo Wang

Since Specialization

Citations

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

Fields of papers citing papers by Bingbo Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bingbo Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Bingbo Wang. A scholar is included among the top collaborators of Bingbo Wang 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 Bingbo Wang. Bingbo Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Li, Jie, et al.. (2024). Non-Coding RNAs Extended Omnigenic Module of Cancers. Entropy. 26(8). 640–640. 1 indexed citations

Wang, Yiheng, et al.. (2024). DeepCBS: shedding light on the impact of mutations occurring at CTCF binding sites. Frontiers in Genetics. 15. 1354208–1354208.

Wang, Bingbo, et al.. (2022). Network Connectivity Analysis of Coding and Noncoding RNAs in Cancer. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 174–177.

Wang, Bingbo, et al.. (2022). Multi-omics peripheral and core regions of cancer. npj Systems Biology and Applications. 8(1). 47–47. 1 indexed citations

Wang, Bingbo, Minghui Xie, Yue Wu, et al.. (2021). CBP-JMF: An Improved Joint Matrix Tri-Factorization Method for Characterizing Complex Biological Processes of Diseases. Frontiers in Genetics. 12. 665416–665416. 2 indexed citations

Wang, Bingbo, Jie Hu, Yajun Wang, et al.. (2020). C3: connect separate connected components to form a succinct disease module. BMC Bioinformatics. 21(1). 433–433. 7 indexed citations

Jin, Haiyan, et al.. (2020). Inferring essential proteins from centrality in interconnected multilayer networks. Physica A Statistical Mechanics and its Applications. 557. 124853–124853. 8 indexed citations

Hu, Yuxuan, Chia‐Hui Chen, Yangyang Ding, et al.. (2019). Optimal control nodes in disease-perturbed networks as targets for combination therapy. Nature Communications. 10(1). 2180–2180. 39 indexed citations

Li, Feng, Lin Gao, & Bingbo Wang. (2018). Detection of Driver Modules with Rarely Mutated Genes in Cancers. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 17(2). 390–401. 12 indexed citations

10.

Guo, Xingli, Lin Gao, Yu Wang, et al.. (2018). Large-scale Investigation of Long Noncoding RNA Secondary Structures in Human and Mouse. Current Bioinformatics. 13(5). 450–460. 4 indexed citations

11.

Ma, Xiaoke, Bingbo Wang, & Liang Yu. (2017). Semi-supervised spectral algorithms for community detection in complex networks based on equivalence of clustering methods. Physica A Statistical Mechanics and its Applications. 490. 786–802. 27 indexed citations

12.

Shi, Kai, Lin Gao, & Bingbo Wang. (2016). Discovering potential cancer driver genes by an integrated network-based approach. Molecular BioSystems. 12(9). 2921–2931. 29 indexed citations

13.

Yu, Liang, Bingbo Wang, Xiaoke Ma, & Lin Gao. (2016). The extraction of drug-disease correlations based on module distance in incomplete human interactome. BMC Systems Biology. 10(S4). 111–111. 25 indexed citations

14.

Deng, Yue, Lin Gao, Xingli Guo, & Bingbo Wang. (2016). Integrating phenotypic features and tissue-specific information to prioritize disease genes. Science China Information Sciences. 59(7). 3 indexed citations

15.

Deng, Yue, Lin Gao, Bingbo Wang, & Xingli Guo. (2015). HPOSim: An R Package for Phenotypic Similarity Measure and Enrichment Analysis Based on the Human Phenotype Ontology. PLoS ONE. 10(2). e0115692–e0115692. 42 indexed citations

16.

Wang, Bingbo, Lin Gao, Qingfang Zhang, et al.. (2015). Diversified Control Paths: A Significant Way Disease Genes Perturb the Human Regulatory Network. PLoS ONE. 10(8). e0135491–e0135491. 7 indexed citations

17.

Li, Ye, et al.. (2014). Nose tip detection on three‐dimensional faces using pose‐invariant differential surface features. IET Computer Vision. 9(1). 75–84. 5 indexed citations

18.

Yang, Xiaofei, Lin Gao, Xingli Guo, et al.. (2014). A Network Based Method for Analysis of lncRNA-Disease Associations and Prediction of lncRNAs Implicated in Diseases. PLoS ONE. 9(1). e87797–e87797. 138 indexed citations

19.

Wang, Bingbo, Lin Gao, Yong Gao, Yue Deng, & Yu Wang. (2014). Controllability and observability analysis for vertex domination centrality in directed networks. Scientific Reports. 4(1). 5399–5399. 32 indexed citations

20.

Wang, Bingbo & Lin Gao. (2012). Seed selection strategy in global network alignment without destroying the entire structures of functional modules. Proteome Science. 10(Suppl 1). S16–S16. 8 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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