Bei Guan

428 total citations
24 papers, 256 citations indexed

About

Bei Guan is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Bei Guan has authored 24 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Information Systems, 12 papers in Artificial Intelligence and 9 papers in Computer Networks and Communications. Recurrent topics in Bei Guan's work include Network Security and Intrusion Detection (5 papers), Software Engineering Research (4 papers) and Internet Traffic Analysis and Secure E-voting (4 papers). Bei Guan is often cited by papers focused on Network Security and Intrusion Detection (5 papers), Software Engineering Research (4 papers) and Internet Traffic Analysis and Secure E-voting (4 papers). Bei Guan collaborates with scholars based in China, United States and Qatar. Bei Guan's co-authors include Ting Yu, Issa Khalil, Yongji Wang, Daoguang Zan, Zeqi Lin, Jian–Guang Lou, Samee U. Khan, Jingzheng Wu, Yanjun Wu and Weizhu Chen and has published in prestigious journals such as Knowledge-Based Systems, Thyroid and Environment Development and Sustainability.

In The Last Decade

Bei Guan

24 papers receiving 247 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bei Guan China	9	133	120	110	61	33	24	256
Yuanping Nie China	7	109 0.8×	59 0.5×	37 0.3×	29 0.5×	12 0.4×	31	202
Mariam Lahami Tunisia	7	70 0.5×	90 0.8×	70 0.6×	16 0.3×	37 1.1×	20	173
Sherri Sparks United States	7	223 1.7×	107 0.9×	254 2.3×	229 3.8×	50 1.5×	10	377
Benjamin Beurdouche France	3	182 1.4×	94 0.8×	105 1.0×	99 1.6×	36 1.1×	3	249
Dominik Maier Germany	9	86 0.6×	105 0.9×	73 0.7×	191 3.1×	191 5.8×	18	313
Kivanc Ozonat United States	7	94 0.7×	121 1.0×	197 1.8×	7 0.1×	41 1.2×	20	259
Dennis Griffith United States	4	97 0.7×	42 0.3×	37 0.3×	19 0.3×	83 2.5×	7	179
Nilo Redini United States	9	116 0.9×	104 0.9×	96 0.9×	200 3.3×	82 2.5×	13	256
Venkatesh-Prasad Ranganath United States	8	80 0.6×	140 1.2×	151 1.4×	78 1.3×	168 5.1×	17	305
Malcolm Wallace United Kingdom	7	159 1.2×	57 0.5×	85 0.8×	15 0.2×	119 3.6×	14	257

Countries citing papers authored by Bei Guan

Since Specialization

Citations

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

Fields of papers citing papers by Bei Guan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bei Guan

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

Zan, Daoguang, Yongshun Gong, Bingchao Wu, et al.. (2025). Private-library-oriented code generation with large language models. Knowledge-Based Systems. 326. 113934–113934. 1 indexed citations

Zan, Daoguang, Bo Shen, Yongshun Gong, et al.. (2025). CodeS: Natural Language to Code Repository via Multi-Layer Sketch. ACM Transactions on Software Engineering and Methodology. 1 indexed citations

Zan, Daoguang, Bo Shen, Yongshun Gong, et al.. (2024). DiffCoder: Enhancing Large Language Model on API Invocation via Analogical Code Exercises. Proceedings of the ACM on software engineering.. 1(FSE). 406–426. 1 indexed citations

Zan, Daoguang, et al.. (2024). A GAN-Based Data Poisoning Framework Against Anomaly Detection in Vertical Federated Learning. 3982–3987. 6 indexed citations

Li, Xiaolong, et al.. (2023). The impact of computing and machine learning on complex problem‐solving. Engineering Reports. 5(6). 7 indexed citations

Wu, Bingchao, et al.. (2023). Hierarchical and Contrastive Representation Learning for Knowledge-Aware Recommendation. 1050–1055. 1 indexed citations

Guan, Bei, et al.. (2023). Optimal allocation of water pollutant discharge permits based on Environmental Gini Coefficient (EGC): a case study of Qinhuai river basin in Nanjing, China. Environment Development and Sustainability. 26(2). 5179–5198. 1 indexed citations

Guan, Bei, et al.. (2023). We Are Not So Similar: Alleviating User Representation Collapse in Social Recommendation. 378–387. 2 indexed citations

Zan, Daoguang, Bei Chen, Zeqi Lin, et al.. (2022). When Language Model Meets Private Library. 277–288. 20 indexed citations

10.

Guan, Bei, et al.. (2022). Correlation analysis between characteristics under gastroscope and image information of tongue in patients with chronic gastriti.. PubMed. 42(1). 102–107. 6 indexed citations

11.

Xu, Siyuan, Hui Huang, Xiaohang Zhang, et al.. (2021). Predictive Value of Serum Thyroglobulin for Structural Recurrence Following Lobectomy for Papillary Thyroid Carcinoma. Thyroid. 31(9). 1391–1399. 22 indexed citations

12.

Guan, Bei, et al.. (2021). Fed-EINI: An Efficient and Interpretable Inference Framework for Decision Tree Ensembles in Vertical Federated Learning. 2021 IEEE International Conference on Big Data (Big Data). 1242–1248. 11 indexed citations

13.

Wang, Chong, Nasro Min‐Allah, Bei Guan, et al.. (2019). An Efficient Approach for Mitigating Covert Storage Channel Attacks in Virtual Machines by the Anti-Detection Criterion. Journal of Computer Science and Technology. 34(6). 1351–1365. 1 indexed citations

14.

Chen, Xiaolin, et al.. (2019). Research on Satellite Orbit Prediction Based on Neural Network Algorithm. 267–273. 7 indexed citations

15.

Khalil, Issa, et al.. (2018). A Domain is only as Good as its Buddies. 330–341. 15 indexed citations

16.

Khalil, Issa, Ting Yu, & Bei Guan. (2016). Discovering Malicious Domains through Passive DNS Data Graph Analysis. 663–674. 57 indexed citations

17.

Guan, Bei, Jingzheng Wu, Yongji Wang, & Samee U. Khan. (2014). CIVSched: A Communication-Aware Inter-VM Scheduling Technique for Decreased Network Latency between Co-Located VMs. IEEE Transactions on Cloud Computing. 2(3). 320–332. 18 indexed citations

18.

Guan, Bei, et al.. (2013). CIVSched: Communication-aware Inter-VM Scheduling in Virtual Machine Monitor Based on the Process. 597–604. 1 indexed citations

19.

Wu, Yanjun, et al.. (2012). Return-Oriented Programming Attack on the Xen Hypervisor. 479–484. 18 indexed citations

20.

Gertner, George Z. & Bei Guan. (1990). Conceptual classification: an AI alternative to statistical procedures for classification problems.. 4(4). 25–32. 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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