Peishun Liu

609 total citations
53 papers, 392 citations indexed

About

Peishun Liu is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Peishun Liu has authored 53 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 13 papers in Computer Networks and Communications and 12 papers in Signal Processing. Recurrent topics in Peishun Liu's work include Underwater Acoustics Research (9 papers), Speech and Audio Processing (6 papers) and Network Security and Intrusion Detection (6 papers). Peishun Liu is often cited by papers focused on Underwater Acoustics Research (9 papers), Speech and Audio Processing (6 papers) and Network Security and Intrusion Detection (6 papers). Peishun Liu collaborates with scholars based in China and Pakistan. Peishun Liu's co-authors include Ruichun Tang, Wen-Xu Wang, Cheng Li, Bin Yu, Qingmei Zhang, He Chen, Jianjun Zhang, Qingjiang Wang, Wenbin Zhang and Xuefang Wang and has published in prestigious journals such as Scientific Reports, IEEE Access and Information Sciences.

In The Last Decade

Peishun Liu

43 papers receiving 382 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peishun Liu China 9 117 63 52 47 46 53 392
Ruichun Tang China 9 72 0.6× 65 1.0× 46 0.9× 51 1.1× 57 1.2× 48 354
Baojun Qiao China 11 143 1.2× 34 0.5× 27 0.5× 45 1.0× 54 1.2× 31 401
Zongwen Fan China 15 231 2.0× 11 0.2× 68 1.3× 40 0.9× 51 1.1× 42 541
L. Carro‐Calvo Spain 14 202 1.7× 74 1.2× 135 2.6× 196 4.2× 32 0.7× 34 688
Lili He China 10 114 1.0× 14 0.2× 18 0.3× 20 0.4× 36 0.8× 34 345
Wenbo Wang China 12 66 0.6× 13 0.2× 32 0.6× 176 3.7× 80 1.7× 78 551
Barenya Bikash Hazarika India 16 327 2.8× 8 0.1× 143 2.8× 83 1.8× 20 0.4× 31 763
Gaurang Panchal India 5 88 0.8× 7 0.1× 50 1.0× 67 1.4× 27 0.6× 8 402
Xiaohui Yang China 14 125 1.1× 8 0.1× 32 0.6× 84 1.8× 90 2.0× 71 612

Countries citing papers authored by Peishun Liu

Since Specialization
Citations

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

Fields of papers citing papers by Peishun Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peishun Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Peishun Liu. A scholar is included among the top collaborators of Peishun Liu 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 Peishun Liu. Peishun Liu 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.
Liu, Peishun, et al.. (2025). DiskAdapt: Hard Disk Failure Prediction Based on Pre-Training and Fine-Tuning. Proceedings of the ACM on Measurement and Analysis of Computing Systems. 9(2). 1–25.
2.
Huang, Y. H., et al.. (2025). FreqWave-TranDuD: A Multivariate Time Series Anomaly Detection Method Based on Wavelet and Fourier Transforms. IEEE Access. 13. 68384–68397. 1 indexed citations
3.
4.
Xia, Hui, et al.. (2024). FedNor: A robust training framework for federated learning based on normal aggregation. Information Sciences. 684. 121274–121274. 7 indexed citations
5.
6.
Li, Yan, et al.. (2024). Attribute-Based Searchable Encryption: A Survey. Electronics. 13(9). 1621–1621. 6 indexed citations
7.
Li, Yan, et al.. (2024). Efficient and accountable anti-leakage attribute-based encryption scheme for cloud storage. Heliyon. 10(12). e32404–e32404.
8.
Liu, Wenqiang, et al.. (2024). Unsupervised Deep Anomaly Detection for Industrial Multivariate Time Series Data. Applied Sciences. 14(2). 774–774. 11 indexed citations
9.
Khan, Muhammad Owais, et al.. (2024). Anomaly Detection Industrial Items. International Journal of Scientific Research in Computer Science Engineering and Information Technology. 10(2). 729–734.
10.
Li, Xiaolei, et al.. (2023). Ensemble deep random vector functional link for self-supervised direction-of-arrival estimation. Engineering Applications of Artificial Intelligence. 120. 105831–105831. 10 indexed citations
11.
Tang, Ruichun, et al.. (2023). Hard Disk Failure Prediction Based on Blending Ensemble Learning. Applied Sciences. 13(5). 3288–3288. 5 indexed citations
12.
Zhang, Bin, Peishun Liu, Xiaolei Li, et al.. (2023). Phase space reconstruction and self-attention convolutional neural network for sound source ranging with trial data. Ocean Engineering. 288. 116017–116017. 1 indexed citations
13.
Liu, Peishun, et al.. (2023). Semi-supervised 3D Medical Image Segmentation Using Transformer and CNN. 1–9. 2 indexed citations
14.
Wang, Xuefang, et al.. (2023). A Person Re-Identification Method Based on Multi-Branch Feature Fusion. Applied Sciences. 13(21). 11707–11707. 1 indexed citations
15.
16.
Liu, Peishun, et al.. (2022). Pedestrian re-identification based on Swin Transformer. 123–129. 1 indexed citations
17.
Chen, He, et al.. (2022). Early Risk Prediction of Diabetes Based on GA-Stacking. Applied Sciences. 12(2). 632–632. 29 indexed citations
18.
Zhang, Wenbin, et al.. (2021). Research on System Log Anomaly Detection Combining Two-way Slice GRU and GA-Attention Mechanism. 577–583. 8 indexed citations
19.
Li, Xiaoxia, et al.. (2021). Integrated Learning Model Based on GC-Stacking for Early Prediction of Diabetes Mellitus. 12. 380–387. 1 indexed citations
20.
Zhang, Qingmei, et al.. (2020). StackPDB: Predicting DNA-binding proteins based on XGB-RFE feature optimization and stacked ensemble classifier. Applied Soft Computing. 99. 106921–106921. 48 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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