Diyue Bu

599 total citations
11 papers, 249 citations indexed

About

Diyue Bu is a scholar working on Artificial Intelligence, Cancer Research and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Diyue Bu has authored 11 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Cancer Research and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Diyue Bu's work include Privacy-Preserving Technologies in Data (6 papers), Cancer Genomics and Diagnostics (5 papers) and Ethics in Clinical Research (4 papers). Diyue Bu is often cited by papers focused on Privacy-Preserving Technologies in Data (6 papers), Cancer Genomics and Diagnostics (5 papers) and Ethics in Clinical Research (4 papers). Diyue Bu collaborates with scholars based in United States, Canada and Switzerland. Diyue Bu's co-authors include Haixu Tang, Yongan Zhao, Yan Huang, Xiaofeng Wang, Xiao Wang, Xiaoqian Jiang, Shuang Wang, Lucila Ohno‐Machado, Xiaofeng Wang and Kai Chen and has published in prestigious journals such as Bioinformatics, Journal of the American Medical Informatics Association and BMC Medical Genomics.

In The Last Decade

Diyue Bu

11 papers receiving 243 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Diyue Bu United States	7	191	61	43	42	39	11	249
Md Momin Al Aziz Canada	12	261 1.4×	69 1.1×	33 0.8×	70 1.7×	78 2.0×	24	336
João Sá Sousa Portugal	8	216 1.1×	44 0.7×	15 0.3×	22 0.5×	62 1.6×	11	292
David Froelicher United States	7	162 0.8×	28 0.5×	16 0.4×	12 0.3×	42 1.1×	11	218
Pascal Berrang Germany	8	170 0.9×	28 0.5×	13 0.3×	13 0.3×	45 1.2×	16	218
Reihaneh Torkzadehmahani Denmark	5	172 0.9×	17 0.3×	15 0.3×	12 0.3×	18 0.5×	5	215
Yuhou Xia United States	5	163 0.9×	13 0.2×	9 0.2×	9 0.2×	34 0.9×	5	202
Maulik R. Kamdar United States	10	150 0.8×	5 0.1×	8 0.2×	13 0.3×	45 1.2×	24	300
Emilie Pasche Switzerland	10	128 0.7×	11 0.2×	24 0.6×	2 0.0×	26 0.7×	54	295
Shannon Hastings United States	9	48 0.3×	12 0.2×	8 0.2×	10 0.2×	49 1.3×	19	286
Carlos Aguilar-Melchor France	4	155 0.8×	12 0.2×	3 0.1×	8 0.2×	34 0.9×	8	166

Countries citing papers authored by Diyue Bu

Since Specialization

Citations

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

Fields of papers citing papers by Diyue Bu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diyue Bu

This figure shows the co-authorship network connecting the top 25 collaborators of Diyue Bu. A scholar is included among the top collaborators of Diyue Bu 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 Diyue Bu. Diyue Bu 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:

11 of 11 papers shown

1.

Kuo, Tsung-Ting, Xiaoqian Jiang, Haixu Tang, et al.. (2022). The evolving privacy and security concerns for genomic data analysis and sharing as observed from the iDASH competition. Journal of the American Medical Informatics Association. 29(12). 2182–2190. 13 indexed citations

2.

Bu, Diyue, Xiaofeng Wang, & Haixu Tang. (2021). Haplotype-based membership inference from summary genomic data. Bioinformatics. 37(Supplement_1). i161–i168. 6 indexed citations

3.

Long, Yunhui, Diyue Bu, Vincent Bindschaedler, et al.. (2020). A Pragmatic Approach to Membership Inferences on Machine Learning Models. 521–534. 41 indexed citations

4.

Wang, Xiaofeng, Haixu Tang, Shuang Wang, et al.. (2018). iDASH secure genome analysis competition 2017. BMC Medical Genomics. 11(S4). 85–85. 14 indexed citations

5.

Bu, Diyue, Xiaofeng Wang, & Haixu Tang. (2018). Real-time Protection of Genomic Data Sharing in Beacon Services.. PubMed. 2017. 45–54. 4 indexed citations

6.

Wang, Shuang, Xiaoqian Jiang, Haixu Tang, et al.. (2017). A community effort to protect genomic data sharing, collaboration and outsourcing. npj Genomic Medicine. 2(1). 33–33. 28 indexed citations

7.

Bu, Diyue & Xuefu Wang. (2017). Causal effect study of high cholesterol on myopia. 4. 710–713. 1 indexed citations

8.

Wang, Shuang, Xiaoqian Jiang, Haixu Tang, et al.. (2017). A Community Effort to Protect Genomic Data Sharing, Collaboration and Outsourcing. SSRN Electronic Journal. 1 indexed citations

9.

Raisaro, Jean Louis, Florian Tramèr, Zhanglong Ji, et al.. (2016). Addressing Beacon re-identification attacks: quantification and mitigation of privacy risks. Journal of the American Medical Informatics Association. 24(4). 799–805. 61 indexed citations

10.

Wang, Xiao, Yan Huang, Yongan Zhao, et al.. (2015). Efficient Genome-Wide, Privacy-Preserving Similar Patient Query based on Private Edit Distance. 492–503. 79 indexed citations

11.

Bu, Diyue & Haixu Tang. (2014). Quasispecies reconstruction based on vertex coloring algorithms. 63–66. 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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