Shuhan Yuan

2.1k total citations · 2 hit papers
40 papers, 978 citations indexed

About

Shuhan Yuan is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Shuhan Yuan has authored 40 papers receiving a total of 978 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 12 papers in Computer Networks and Communications and 8 papers in Information Systems. Recurrent topics in Shuhan Yuan's work include Anomaly Detection Techniques and Applications (13 papers), Network Security and Intrusion Detection (12 papers) and Topic Modeling (6 papers). Shuhan Yuan is often cited by papers focused on Anomaly Detection Techniques and Applications (13 papers), Network Security and Intrusion Detection (12 papers) and Topic Modeling (6 papers). Shuhan Yuan collaborates with scholars based in United States and China. Shuhan Yuan's co-authors include Xintao Wu, Depeng Xu, Lu Zhang, Yang Xiang, Panpan Zheng, Xiao Han, Aidong Lu, Jun Li, Meizi Li and Zheng Liu and has published in prestigious journals such as Expert Systems with Applications, Renewable Energy and Computers & Security.

In The Last Decade

Shuhan Yuan

37 papers receiving 935 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

FairGAN: Fairness-aware Generative Adversarial Networks

2018 175 citations Depeng Xu, Shuhan Yuan et al. profile →
Deep learning for insider threat detection: Review, challenges and opportunities

2021 136 citations Shuhan Yuan, Xintao Wu Computers & Security profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shuhan Yuan United States	15	594	369	157	134	115	40	978
Supriyo Chakraborty United States	14	534 0.9×	127 0.3×	116 0.7×	103 0.8×	73 0.6×	32	885
Daniel Zhang United States	23	560 0.9×	319 0.9×	261 1.7×	72 0.5×	30 0.3×	70	1.4k
Zengxiang Li Singapore	12	474 0.8×	317 0.9×	479 3.1×	54 0.4×	18 0.2×	53	997
Aparna S. Varde United States	15	351 0.6×	116 0.3×	235 1.5×	46 0.3×	18 0.2×	116	867
Peter Kieseberg Austria	17	328 0.6×	175 0.5×	352 2.2×	180 1.3×	45 0.4×	59	850
Janusz Marecki United States	15	362 0.6×	291 0.8×	111 0.7×	32 0.2×	29 0.3×	38	993
Kun Kuang China	18	838 1.4×	95 0.3×	198 1.3×	33 0.2×	20 0.2×	102	1.2k
Jesús Cerquides Spain	17	404 0.7×	247 0.7×	122 0.8×	114 0.9×	8 0.1×	86	940
Thanassis Giannetsos Denmark	15	465 0.8×	365 1.0×	184 1.2×	152 1.1×	16 0.1×	46	941
Junling Hu United States	10	538 0.9×	173 0.5×	106 0.7×	19 0.1×	44 0.4×	19	924

Countries citing papers authored by Shuhan Yuan

Since Specialization

Citations

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

Fields of papers citing papers by Shuhan Yuan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuhan Yuan

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

1.

Han, Xiao, Depeng Xu, Shuhan Yuan, & Xintao Wu. (2025). Few-shot anomaly detection and classification through reinforced data selection with a combinatorial reward. Knowledge and Information Systems. 67(12). 11675–11700.

2.

Yuan, Shuhan, Kit K. Elam, Jeanne D. Johnston, Hsien-Chang Lin, & Angela Chow. (2024). The Relationship Between Three Sources of Social Support and Physical Activity Level in Middle-Aged and Older Adults. The International Journal of Aging and Human Development. 101(2). 210–224.

3.

Lê, Aurora B., et al.. (2024). The impact of safety behavior, perceived risk, and workplace resources on COVID outcomes for U.S. Aircraft Rescue and Firefighting personnel. Work. 79(3). 1205–1214. 1 indexed citations

4.

Yuan, Shuhan, Kit K. Elam, Jeanne D. Johnston, & Angela Chow. (2023). The Influence of Marriage and Cohabitation on Physical Activity Among Middle-Aged and Older People. Journal of Applied Gerontology. 43(2). 139–148. 6 indexed citations

5.

Han, Xiao, Lu Zhang, Yongkai Wu, & Shuhan Yuan. (2023). On Root Cause Localization and Anomaly Mitigation through Causal Inference. 699–708. 3 indexed citations

6.

Cheng, He, Depeng Xu, & Shuhan Yuan. (2023). Explainable Sequential Anomaly Detection via Prototypes. 1–8. 2 indexed citations

7.

Han, Xiao, Shuhan Yuan, & Mohamed Trabelsi. (2023). LogGPT: Log Anomaly Detection via GPT. 1117–1122. 16 indexed citations

8.

Zhang, Lu, et al.. (2022). Generating Textual Adversaries with Minimal Perturbation. 4599–4606. 1 indexed citations

9.

Yuan, Shuhan, et al.. (2022). Robust Hate Speech Detection via Mitigating Spurious Correlations. 51–56. 1 indexed citations

10.

Han, Xiao, Depeng Xu, Shuhan Yuan, & Xintao Wu. (2022). Few-shot Anomaly Detection and Classification Through Reinforced Data Selection. 963–968. 1 indexed citations

11.

Yuan, Shuhan & Xintao Wu. (2021). Deep learning for insider threat detection: Review, challenges and opportunities. Computers & Security. 104. 102221–102221. 136 indexed citations breakdown →

12.

Yuan, Shuhan, et al.. (2021). A novel self-learning feature selection approach based on feature attributions. Expert Systems with Applications. 183. 115219–115219. 26 indexed citations

13.

Han, Xiao & Shuhan Yuan. (2021). Unsupervised Cross-system Log Anomaly Detection via Domain Adaptation. 3068–3072. 28 indexed citations

14.

Wang, Haowen, et al.. (2020). A Novel Bidirectional LSTM and Attention Mechanism based Neural Network for Answer Selection in Community Question Answering. Computers, materials & continua/Computers, materials & continua (Print). 62(3). 1273–1288. 7 indexed citations

15.

Yuan, Shuhan, et al.. (2019). An Empirical Study of Machine Learning Algorithms for Stock Daily Trading Strategy. Mathematical Problems in Engineering. 2019(1). 40 indexed citations

16.

Yuan, Shuhan, Xintao Wu, & Yang Xiang. (2018). Incorporating pre-training in long short-term memory networks for tweet classification. Social Network Analysis and Mining. 8(1). 14 indexed citations

17.

Xu, Depeng, Shuhan Yuan, Lu Zhang, & Xintao Wu. (2018). FairGAN: Fairness-aware Generative Adversarial Networks. 570–575. 175 indexed citations breakdown →

18.

Xu, Depeng, Shuhan Yuan, & Xintao Wu. (2017). Differential Privacy Preserving Causal Graph Discovery. Journal of the Arkansas Academy of Science. 60–71. 7 indexed citations

19.

Yuan, Shuhan, Xintao Wu, & Yang Xiang. (2016). Incorporating Pre-Training in Long Short-Term Memory Networks for Tweets Classification. 11. 1329–1334. 5 indexed citations

20.

Yuan, Shuhan, et al.. (2015). Text Big Data Content Understanding and Development Trend Based on Feature Learning. Big Data Research. 1(3). 2015030. 2 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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