Liang Liu

2.5k total citations · 3 hit papers
68 papers, 1.6k citations indexed

About

Liang Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Liang Liu has authored 68 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 7 papers in Information Systems. Recurrent topics in Liang Liu's work include Advanced Neural Network Applications (12 papers), Video Surveillance and Tracking Methods (9 papers) and Advanced Image Processing Techniques (7 papers). Liang Liu is often cited by papers focused on Advanced Neural Network Applications (12 papers), Video Surveillance and Tracking Methods (9 papers) and Advanced Image Processing Techniques (7 papers). Liang Liu collaborates with scholars based in China, United States and Malaysia. Liang Liu's co-authors include Yong Liu, Mengmeng Wang, Yunliang Jiang, Jiangning Zhang, Yue Wu, Wenping Ma, Yafei Zheng, Licheng Jiao, Maoguo Gong and Chengjie Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Industrial Electronics.

In The Last Decade

Liang Liu

65 papers receiving 1.6k citations

Hit Papers

Extended Feature Pyramid Network for Small ... 2016 2026 2019 2022 2021 2016 2023 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. Extended Feature Pyramid Network for Small Object Detection
    2021 320 citations Mengmeng Wang, Liang Liu et al. IEEE Transactions on Multimedia profile →
  2. Remote Sensing Image Registration With Modified SIFT and Enhanced Feature Matching
    2016 290 citations Liang Liu et al. profile →
  3. Rethinking Mobile Block for Efficient Attention-based Models
    2023 129 citations Jiangning Zhang, Liang Liu et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liang Liu China 15 1.1k 419 210 193 98 68 1.6k
Carlos Sampedro Spain 16 738 0.7× 667 1.6× 59 0.3× 234 1.2× 108 1.1× 28 1.4k
Tian-Xing Xu China 5 706 0.7× 124 0.3× 205 1.0× 347 1.8× 114 1.2× 12 1.5k
Yassine Ruichek France 27 1.6k 1.5× 437 1.0× 393 1.9× 436 2.3× 206 2.1× 176 2.6k
Gustavo Olague Mexico 20 653 0.6× 218 0.5× 62 0.3× 372 1.9× 61 0.6× 89 1.2k
Qingqing Dang China 9 700 0.7× 381 0.9× 158 0.8× 133 0.7× 142 1.4× 25 1.6k
Wei Hong China 22 881 0.8× 184 0.4× 288 1.4× 251 1.3× 75 0.8× 122 2.0k
Meiling Wang China 24 745 0.7× 433 1.0× 55 0.3× 364 1.9× 204 2.1× 225 2.3k
Yiquan Wu China 14 757 0.7× 215 0.5× 301 1.4× 223 1.2× 78 0.8× 50 1.3k

Countries citing papers authored by Liang Liu

Since Specialization
Citations

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

Fields of papers citing papers by Liang Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Liang Liu. A scholar is included among the top collaborators of Liang 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 Liang Liu. Liang 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.
Chen, Wen, et al.. (2024). DE-PSA: Learning from unlabeled data by dual-stage label propagation for positive selection algorithm. Knowledge-Based Systems. 309. 112757–112757. 1 indexed citations
3.
Liu, Liang, et al.. (2024). Fish‐Finder: A robust small target detection method for aquaculture fish in low‐quality underwater images. Journal of Fish Biology. 106(3). 908–920. 1 indexed citations
4.
Peng, Jinlong, et al.. (2024). FRIH: Fine-Grained Region-Aware Image Harmonization. Proceedings of the AAAI Conference on Artificial Intelligence. 38(5). 4478–4486. 3 indexed citations
5.
Chen, Shuangye, et al.. (2024). Research on Insulator Pose Estimation Algorithm for High-Voltage Live Working Robot. 27. 1136–1140. 1 indexed citations
6.
Liu, Liang, et al.. (2024). Early Screening Prediction System of Breast Cancer MRI Images Based on Deep Learning. 30. 1459–1463. 1 indexed citations
7.
Shen, Nanyan, et al.. (2024). An improvement method for pancreas CT segmentation using superpixel-based active contour. Physics in Medicine and Biology. 69(10). 105027–105027. 2 indexed citations
8.
Zheng, Jianghua, et al.. (2024). Monitoring and influencing factors of grassland livestock overload in Xinjiang from 1982 to 2020. Frontiers in Plant Science. 15. 9 indexed citations
9.
Liu, Liang, et al.. (2023). Fish Recognition in the Underwater Environment Using an Improved ArcFace Loss for Precision Aquaculture. Fishes. 8(12). 591–591. 4 indexed citations
10.
11.
Zhou, Anmin, et al.. (2022). OMECDN: A Password-Generation Model Based on an Ordered Markov Enumerator and Critic Discriminant Network. Applied Sciences. 12(23). 12379–12379. 2 indexed citations
12.
Wang, Mengmeng, et al.. (2021). Extended Feature Pyramid Network for Small Object Detection. IEEE Transactions on Multimedia. 24. 1968–1979. 320 indexed citations breakdown →
13.
Zhai, Guangyao, et al.. (2020). PoseConvGRU: A Monocular Approach for Visual Ego-motion Estimation by Learning. Pattern Recognition. 102. 107187–107187. 10 indexed citations
14.
Liu, Liang, Jiangning Zhang, Ruifei He, et al.. (2020). Learning by Analogy: Reliable Supervision From Transformations for Unsupervised Optical Flow Estimation. 6488–6497. 110 indexed citations
15.
Chen, Jun, Liang Liu, Yong Liu, & Xianfang Zeng. (2020). A Learning Framework for n-Bit Quantized Neural Networks Toward FPGAs. IEEE Transactions on Neural Networks and Learning Systems. 32(3). 1067–1081. 28 indexed citations
16.
Zhang, Jiangning, Liang Liu, Zhucun Xue, & Yong Liu. (2020). APB2FACE: Audio-Guided Face Reenactment with Auxiliary Pose and Blink Signals. 4402–4406. 11 indexed citations
17.
Liu, Liang, Yong Liu, & Jiangning Zhang. (2018). Learning-Based Hand Motion Capture and Understanding in Assembly Process. IEEE Transactions on Industrial Electronics. 66(12). 9703–9712. 21 indexed citations
18.
Liu, Liang, et al.. (2018). Obfuscator low level virtual machine deobfuscation framework based on symbolic execution. Journal of Computer Applications. 38(6). 1745. 2 indexed citations
19.
Liu, Liang. (2010). Deployment control and test of deployable tetrahedral truss antenna. Journal of Engineering Design. 1 indexed citations
20.
Guo, Jianming, et al.. (2009). An Improvement of D* Algorithm for Mobile Robot Path Planning in Partial Unknown Environment. 394–397. 22 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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