Junjie Liu

787 total citations · 1 hit paper
43 papers, 420 citations indexed

About

Junjie Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Junjie Liu has authored 43 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Junjie Liu's work include Advanced Neural Network Applications (11 papers), Video Surveillance and Tracking Methods (7 papers) and Face and Expression Recognition (3 papers). Junjie Liu is often cited by papers focused on Advanced Neural Network Applications (11 papers), Video Surveillance and Tracking Methods (7 papers) and Face and Expression Recognition (3 papers). Junjie Liu collaborates with scholars based in China, Hong Kong and Japan. Junjie Liu's co-authors include Jin Xu, Yijing Li, Xuefei Zhang, Xiaofeng Tao, Rynson W. H. Lau, Shengfeng He, Zhenhua Chai, Haotong Qin, Qinghua Yan and Yifu Ding and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Access and Computer.

In The Last Decade

Junjie Liu

39 papers receiving 410 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.

Privacy-Preserved Federated Learning for Autonomous Driving

2021 169 citations Junjie Liu et al. profile →

Peers

Junjie Liu

AI

CVPR

EEE

IS

CNC

Shenghui Wang China

Hao Hu China

Zhangyi Shen China

Taymaz Rahkar Farshi Türkiye

Chong Han China

Fucheng You China

Jyoti Prakash Sahoo India

Tapas Si India

Shuai Lü China

Gautier Izacard France

Shenghui Wang China

Junjie Liu

169 ×0.9

AI

94 ×0.6

CVPR

58 ×0.7

EEE

32 ×0.8

IS

43 ×1.2

CNC

Citations per year, relative to Junjie Liu Junjie Liu (= 1×) peers Shenghui Wang

Countries citing papers authored by Junjie Liu

Since Specialization

Citations

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

Fields of papers citing papers by Junjie Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junjie Liu

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

Sun, Guodong, et al.. (2025). Efficient RGB-D scene understanding via multi-task adaptive learning and cross-dimensional feature guidance. Knowledge-Based Systems. 327. 114107–114107.

2.

Liu, Junjie, Rongxin Jiang, Xuesong Liu, et al.. (2024). Large-Scale Clustering on 100 M-Scale Datasets Using a Single T4 GPU via Recall KNN and Subgraph Segmentation. Neural Processing Letters. 56(1).

3.

Liu, Junjie, et al.. (2024). OTAMatch: Optimal Transport Assignment With PseudoNCE for Semi-Supervised Learning. IEEE Transactions on Image Processing. 33. 4231–4244. 4 indexed citations

4.

Yu, Xiaopeng, et al.. (2024). A method of applying an RFID electronic tag with an IIC interface. 1 indexed citations

5.

Liu, Junjie, et al.. (2024). Boosted verification using siamese neural network with DiffBlock. The Visual Computer. 41(1). 191–208.

6.

Tao, Liufeng, Kai Ma, Miao Tian, et al.. (2023). Developing a Base Domain Ontology from Geoscience Report Collection to Aid in Information Retrieval towards Spatiotemporal and Topic Association. ISPRS International Journal of Geo-Information. 13(1). 14–14. 1 indexed citations

7.

Hu, Xiao, Zhenyu Wu, Junjie Liu, et al.. (2023). Evolution of Winning Solutions in the 2021 Low-Power Computer Vision Challenge. Computer. 56(8). 28–37.

8.

Fan, Xiaochao, et al.. (2023). Identifying Hate Speech Through Syntax Dependency Graph Convolution and Sentiment Knowledge Transfer. IEEE Access. 12. 2730–2741. 1 indexed citations

9.

Ma, Tao, Xuemeng Yang, Hongbin Zhou, et al.. (2023). DetZero: Rethinking Offboard 3D Object Detection with Long-term Sequential Point Clouds. 6713–6724. 24 indexed citations

10.

Zhang, Yanmei, et al.. (2022). Generating Optimal Class Integration Test Orders Using Genetic Algorithms. International Journal of Software Engineering and Knowledge Engineering. 32(6). 871–892. 2 indexed citations

11.

Liu, Junjie, et al.. (2022). Research on End-to-End Wireless Communication System Based on Two Dimensional Convolution. 521. 546–550. 1 indexed citations

12.

Wang, Huanyu, et al.. (2022). Compressing Models with Few Samples: Mimicking then Replacing. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 691–700. 6 indexed citations

13.

Liu, Junjie, et al.. (2021). Hierarchically porous calcium–silicon nanosphere-enabled co-delivery of microRNA-210 and simvastatin for bone regeneration. Journal of Materials Chemistry B. 9(16). 3573–3583. 20 indexed citations

14.

Liu, Junjie, et al.. (2021). Identify Light-curve Signals with Deep Learning Based Object Detection Algorithm. I. Transit Detection. The Astronomical Journal. 163(1). 23–23. 9 indexed citations

15.

Liu, Junjie, Zhe Xu, Runbin Shi, Ray C. C. Cheung, & Hayden Kwok‐Hay So. (2020). Dynamic Sparse Training: Find Efficient Sparse Network From Scratch With Trainable Masked Layers. arXiv (Cornell University). 12 indexed citations

16.

Shi, Runbin, Junjie Liu, Hayden Kwok‐Hay So, Shuo Wang, & Yun Liang. (2019). E-LSTM. 1–6. 10 indexed citations

17.

Liu, Junjie. (2019). Research on Sparse Code Shrinkage denoise in Underwater 3D Laser Scanning Images. 140–144. 1 indexed citations

18.

Liu, Junjie, et al.. (2019). DupNet: Towards Very Tiny Quantized CNN With Improved Accuracy for Face Detection. 3 indexed citations

19.

Liu, Junjie, Shengfeng He, & Rynson W. H. Lau. (2017). $L_{0}$ -Regularized Image Downscaling. IEEE Transactions on Image Processing. 27(3). 1076–1085. 23 indexed citations

20.

Liu, Junjie, et al.. (2017). Deterministic Replay for Multi-Core VxWorks Applications. 118–125. 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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