Junyi Liu

1.0k total citations · 1 hit paper
39 papers, 543 citations indexed

About

Junyi Liu is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Junyi Liu has authored 39 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Networks and Communications, 12 papers in Artificial Intelligence and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Junyi Liu's work include Parallel Computing and Optimization Techniques (7 papers), Embedded Systems Design Techniques (5 papers) and Internet Traffic Analysis and Secure E-voting (4 papers). Junyi Liu is often cited by papers focused on Parallel Computing and Optimization Techniques (7 papers), Embedded Systems Design Techniques (5 papers) and Internet Traffic Analysis and Secure E-voting (4 papers). Junyi Liu collaborates with scholars based in China, United Kingdom and United States. Junyi Liu's co-authors include George A. Constantinides, Yanyu Chen, Yan Meng, Xiaohui Liang, Yao Liu, Na Ruan, Haojin Zhu, Mengyuan Li, John Wickerson and Samuel Bayliss and has published in prestigious journals such as IEEE Transactions on Image Processing, International Journal of Remote Sensing and Remote Sensing.

In The Last Decade

Junyi Liu

34 papers receiving 532 citations

Hit Papers

Innovating Sustainability 2024 2026 2025 2024 20 40 60
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. Innovating Sustainability
    2024 67 citations Yanyu Chen, Junyi Liu et al. Journal of Organizational and End User Computing profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junyi Liu China 12 162 146 142 118 84 39 543
Davide Zanetti Italy 12 97 0.6× 66 0.5× 250 1.8× 220 1.9× 56 0.7× 20 639
Yoney Kirsal Ever Cyprus 10 253 1.6× 52 0.4× 98 0.7× 85 0.7× 16 0.2× 29 449
Yongan Zhang United States 8 33 0.2× 129 0.9× 224 1.6× 198 1.7× 72 0.9× 26 502
Vladimir Golovko Belarus 13 151 0.9× 91 0.6× 38 0.3× 222 1.9× 13 0.2× 65 508
Xiaomin Zhang China 10 103 0.6× 46 0.3× 43 0.3× 66 0.6× 29 0.3× 55 410
Hao Geng China 15 42 0.3× 101 0.7× 309 2.2× 116 1.0× 73 0.9× 69 623

Countries citing papers authored by Junyi Liu

Since Specialization
Citations

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

Fields of papers citing papers by Junyi Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junyi Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Junyi Liu. A scholar is included among the top collaborators of Junyi 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 Junyi Liu. Junyi 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.
2.
Wang, Qingzhong, et al.. (2025). ALPS: An Auto-Labeling and Pre-Training Scheme for Remote Sensing Segmentation With Segment Anything Model. IEEE Transactions on Image Processing. 34. 2408–2420. 2 indexed citations
3.
Liu, Junyi, Vassily Lyutsarev, Marianna Pantouvaki, et al.. (2025). Mosaic: Breaking the Optics versus Copper Trade-off with a Wide-and-Slow Architecture and MicroLEDs. 234–247.
4.
Stefanovici, Ioan, Richard Black, Antony Rowstron, et al.. (2025). Storage Class Memory is Dead, All Hail Managed-Retention Memory: Rethinking Memory for the AI Era. 111–118. 1 indexed citations
5.
Liu, Junyi, et al.. (2025). Good things come in small packages: Should we build AI clusters with Lite-GPUs?. 127–135. 1 indexed citations
6.
Sun, Zhe, et al.. (2024). A Path Planning Method Based on Hybrid Sand Cat Swarm Optimization Algorithm of Green Multimodal Transportation. Applied Sciences. 14(17). 8024–8024. 2 indexed citations
7.
8.
Zhou, Xin, et al.. (2024). SatelliteRF: Accelerating 3D Reconstruction in Multi-View Satellite Images with Efficient Neural Radiance Fields. Applied Sciences. 14(7). 2729–2729. 4 indexed citations
9.
Chen, Yanyu, et al.. (2024). Innovating Sustainability. Journal of Organizational and End User Computing. 36(1). 1–22. 67 indexed citations breakdown →
10.
Wang, Bin, et al.. (2024). Multi-Object Tracking in Satellite Videos Considering Weak Feature Enhancement. 8082–8085. 1 indexed citations
11.
Sui, Haigang, et al.. (2023). Multi-UAV Cooperative and Continuous Path Planning for High-Resolution 3D Scene Reconstruction. Drones. 7(9). 544–544. 3 indexed citations
12.
Zhang, Haibo, Zhigang Zhao, Yuhong Zhong, et al.. (2023). Nano-Selenium inhibited antibiotic resistance genes and virulence factors by suppressing bacterial selenocompound metabolism and chemotaxis pathways in animal manure. Ecotoxicology and Environmental Safety. 263. 115277–115277. 7 indexed citations
13.
Liu, Junyi, et al.. (2023). Efficient Hybrid Generation Framework for Aspect-Based Sentiment Analysis. 1007–1018. 7 indexed citations
14.
Liu, Junyi, et al.. (2022). Cloud Resource Demand Prediction Based on VMD-GRU-TCN Hybrid Model. 40. 103–111. 1 indexed citations
15.
Liu, Junyi, et al.. (2022). A Weakly-supervised Method for Encrypted Malicious Traffic Detection. 27–27. 3 indexed citations
16.
Liu, Junyi, et al.. (2019). Detection of IoT Botnet Based on Deep Learning. 8381–8385. 32 indexed citations
17.
Liu, Junyi, John Wickerson, & George A. Constantinides. (2017). Tile size selection for optimized memory reuse in high-level synthesis. Spiral (Imperial College London). 1–8. 5 indexed citations
18.
Li, Mengyuan, Yan Meng, Junyi Liu, et al.. (2016). When CSI Meets Public WiFi. 1068–1079. 142 indexed citations
19.
Liu, Junyi, Samuel Bayliss, & George A. Constantinides. (2015). Offline Synthesis of Online Dependence Testing: Parametric Loop Pipelining for HLS. 159–162. 26 indexed citations
20.
Xu, Chuan, et al.. (2015). An automatic optical and SAR image registration method with iterative level set segmentation and SIFT. International Journal of Remote Sensing. 36(15). 3997–4017. 20 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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