Shengyi Pan

1.8k total citations · 1 hit paper
33 papers, 1.3k citations indexed

About

Shengyi Pan is a scholar working on Computer Networks and Communications, Control and Systems Engineering and Signal Processing. According to data from OpenAlex, Shengyi Pan has authored 33 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Networks and Communications, 13 papers in Control and Systems Engineering and 9 papers in Signal Processing. Recurrent topics in Shengyi Pan's work include Smart Grid Security and Resilience (13 papers), Network Security and Intrusion Detection (12 papers) and Software Engineering Research (6 papers). Shengyi Pan is often cited by papers focused on Smart Grid Security and Resilience (13 papers), Network Security and Intrusion Detection (12 papers) and Software Engineering Research (6 papers). Shengyi Pan collaborates with scholars based in United States, China and Canada. Shengyi Pan's co-authors include Uttam Adhikari, Thomas H. Morris, Mark A. Buckner, Justin M. Beaver, Raymond Borges Hink, Anurag K. Srivastava, Ceeman Vellaithurai, Vahid Madani, Yongliang Zhang and Lingfeng Bao and has published in prestigious journals such as IEEE Access, IEEE Transactions on Smart Grid and IEEE Transactions on Industrial Informatics.

In The Last Decade

Shengyi Pan

32 papers receiving 1.3k citations

Hit Papers

Developing a Hybrid Intrusion Detection System Using Data... 2015 2026 2018 2022 2015 100 200 300
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.

  1. Developing a Hybrid Intrusion Detection System Using Data Mining for Power Systems
    2015 320 citations Shengyi Pan, Thomas H. Morris et al. IEEE Transactions on Smart Grid profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shengyi Pan United States 16 876 791 497 355 273 33 1.3k
Tiffany Hyun‐Jin Kim United States 15 688 0.8× 806 1.0× 482 1.0× 338 1.0× 128 0.5× 32 1.4k
Jairo Giraldo Colombia 10 664 0.8× 436 0.6× 329 0.7× 189 0.5× 168 0.6× 10 926
Uttam Adhikari United States 12 840 1.0× 725 0.9× 458 0.9× 333 0.9× 176 0.6× 17 1.1k
Kieran McLaughlin United Kingdom 19 962 1.1× 790 1.0× 377 0.8× 376 1.1× 327 1.2× 66 1.5k
Junia Valente United States 9 455 0.5× 338 0.4× 289 0.6× 115 0.3× 186 0.7× 13 728
Richard Candell United States 13 503 0.6× 526 0.7× 268 0.5× 276 0.8× 152 0.6× 47 963
Mustafa Amir Faisal United States 5 526 0.6× 367 0.5× 314 0.6× 141 0.4× 178 0.7× 9 762
Manimaran Govindarasu United States 7 1.1k 1.3× 618 0.8× 216 0.4× 543 1.5× 94 0.3× 15 1.3k
Zeyu Mao United States 17 258 0.3× 463 0.6× 322 0.6× 227 0.6× 301 1.1× 48 938
Aditya Ashok United States 12 959 1.1× 550 0.7× 195 0.4× 491 1.4× 85 0.3× 29 1.1k

Countries citing papers authored by Shengyi Pan

Since Specialization
Citations

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

Fields of papers citing papers by Shengyi Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengyi Pan

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

All Works

20 of 20 papers shown
1.
Pan, Shengyi, et al.. (2024). Automating Zero-Shot Patch Porting for Hard Forks. 363–375. 2 indexed citations
2.
Pan, Shengyi, et al.. (2024). Unveil the Mystery of Critical Software Vulnerabilities. 138–149.
3.
Pan, Shengyi, et al.. (2024). Towards More Practical Automation of Vulnerability Assessment. 1–13. 6 indexed citations
4.
Pan, Shengyi, Xin Xia, Lingfeng Bao, et al.. (2022). Automated unearthing of dangerous issue reports. 834–846. 10 indexed citations
5.
Zhang, Yongliang, et al.. (2020). BlockRFC: Real-Time Rolled Fingerprint Construction and Distortion Rectification. IEEE Access. 8. 216948–216959. 2 indexed citations
6.
Zhang, Yongliang, et al.. (2020). A Score-Level Fusion of Fingerprint Matching With Fingerprint Liveness Detection. IEEE Access. 8. 183391–183400. 35 indexed citations
7.
Zhang, Yongliang, et al.. (2020). FLDNet: Light Dense CNN for Fingerprint Liveness Detection. IEEE Access. 8. 84141–84152. 39 indexed citations
8.
Bao, Lingfeng, Shengyi Pan, Zhenchang Xing, et al.. (2020). Enhancing developer interactions with programming screencasts through accurate code extraction. 96. 1581–1585. 3 indexed citations
9.
Adhikari, Uttam, Thomas H. Morris, & Shengyi Pan. (2016). Applying Non-Nested Generalized Exemplars Classification for Cyber-Power Event and Intrusion Detection. IEEE Transactions on Smart Grid. 9(5). 3928–3941. 50 indexed citations
10.
Adhikari, Uttam, Thomas H. Morris, & Shengyi Pan. (2016). WAMS Cyber-Physical Test Bed for Power System, Cybersecurity Study, and Data Mining. IEEE Transactions on Smart Grid. 8(6). 2744–2753. 83 indexed citations
11.
12.
Pan, Shengyi, Thomas H. Morris, & Uttam Adhikari. (2015). Developing a Hybrid Intrusion Detection System Using Data Mining for Power Systems. IEEE Transactions on Smart Grid. 6(6). 3104–3113. 320 indexed citations breakdown →
13.
Adhikari, Uttam, Thomas H. Morris, & Shengyi Pan. (2014). A cyber-physical power system test bed for intrusion detection systems. 22 indexed citations
14.
Adhikari, Uttam, Thomas H. Morris, & Shengyi Pan. (2014). A causal event graph for cyber-power system events using synchrophasor. 7 indexed citations
15.
Hink, Raymond Borges, et al.. (2014). Machine learning for power system disturbance and cyber-attack discrimination. 1–8. 226 indexed citations
16.
Srivastava, Anurag K., et al.. (2013). Modeling Cyber-Physical Vulnerability of the Smart Grid With Incomplete Information. IEEE Transactions on Smart Grid. 4(1). 235–244. 129 indexed citations
17.
Morris, Thomas H., Shengyi Pan, & Uttam Adhikari. (2012). Cyber security recommendations for wide area monitoring, protection, and control systems. 1–6. 20 indexed citations
18.
Adhikari, Uttam, Thomas H. Morris, Shengyi Pan, et al.. (2012). Development of power system test bed for data mining of synchrophasors data, cyber-attack and relay testing in RTDS. 1–7. 20 indexed citations
19.
Morris, Thomas H., et al.. (2011). Cybersecurity risk testing of substation phasor measurement units and phasor data concentrators. 1–1. 46 indexed citations
20.
Xu, Xianghua, Shengyi Pan, & Jian Wan. (2010). Compression of Inverted Index for Comprehensive Performance Evaluation in Lucene. 382–386. 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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