Fang Liu

10.6k total citations · 3 hit papers
460 papers, 7.3k citations indexed

About

Fang Liu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Fang Liu has authored 460 papers receiving a total of 7.3k indexed citations (citations by other indexed papers that have themselves been cited), including 245 papers in Computer Vision and Pattern Recognition, 156 papers in Media Technology and 123 papers in Artificial Intelligence. Recurrent topics in Fang Liu's work include Remote-Sensing Image Classification (119 papers), Advanced Image and Video Retrieval Techniques (67 papers) and Advanced Image Fusion Techniques (59 papers). Fang Liu is often cited by papers focused on Remote-Sensing Image Classification (119 papers), Advanced Image and Video Retrieval Techniques (67 papers) and Advanced Image Fusion Techniques (59 papers). Fang Liu collaborates with scholars based in China, United States and United Kingdom. Fang Liu's co-authors include Licheng Jiao, Shuyuan Yang, Lingling Li, Xu Liu, Biao Hou, Zhixi Feng, Rong Qu, Fan Zhang, Puhua Chen and Jianing Wang and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Fang Liu

425 papers receiving 7.1k citations

Hit Papers

align trajectories sort by overperformance

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.

A Survey of Deep Learning-Based Object Detection

2019 899 citations Licheng Jiao, Fan Zhang et al. profile →
Residual Spectral–Spatial Attention Network for Hyperspectral Image Classification

2020 396 citations Licheng Jiao, Fang Liu et al. IEEE Transactions on Geoscience and Remote Sensing profile →
Self-Training Multi-Sequence Learning with Transformer for Weakly Supervised Video Anomaly Detection

2022 141 citations Shuo Li, Fang Liu et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fang Liu China	38	3.2k	2.4k	1.8k	966	925	460	7.3k
Shuyuan Yang China	46	4.2k 1.3×	4.0k 1.6×	2.0k 1.1×	1.4k 1.5×	1.2k 1.3×	432	9.4k
Qiguang Miao China	40	2.4k 0.8×	1.7k 0.7×	1.3k 0.7×	571 0.6×	562 0.6×	246	5.8k
Qingshan Liu China	47	5.2k 1.6×	2.2k 0.9×	1.7k 1.0×	415 0.4×	909 1.0×	273	8.5k
Yuan Yan Tang China	48	5.4k 1.7×	3.1k 1.3×	1.8k 1.0×	1.3k 1.4×	971 1.0×	495	10.6k
Bin Luo China	42	3.7k 1.2×	1.2k 0.5×	1.7k 1.0×	559 0.6×	358 0.4×	548	7.2k
Nikolaos Doulamis Greece	39	2.8k 0.9×	1.1k 0.5×	1.4k 0.8×	430 0.4×	605 0.7×	311	7.9k
Jing Zhang China	48	3.5k 1.1×	1.4k 0.6×	2.0k 1.1×	1.1k 1.1×	312 0.3×	571	9.3k
Bo Li China	35	5.4k 1.7×	2.1k 0.9×	946 0.5×	1.0k 1.0×	299 0.3×	222	7.8k
Anastasios Doulamis Greece	31	2.4k 0.8×	999 0.4×	1.2k 0.7×	334 0.3×	535 0.6×	225	6.3k
Lingling Li China	38	2.0k 0.6×	1.3k 0.5×	1.4k 0.8×	608 0.6×	425 0.5×	344	6.5k

Countries citing papers authored by Fang Liu

Since Specialization

Citations

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

Fields of papers citing papers by Fang Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fang Liu

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

Liu, Fang, et al.. (2025). Knowledge-Driven Compositional Action Recognition. Pattern Recognition. 163. 111452–111452. 4 indexed citations

Liu, Fang, Licheng Jiao, Shuo Li, et al.. (2024). Preserving text space integrity for robust compositional zero-shot learning via mixture of pretrained experts. Neurocomputing. 614. 128773–128773. 1 indexed citations

Wang, Chao, Lingling Li, Licheng Jiao, et al.. (2024). Knowledge-aware evolutionary graph neural architecture search. Knowledge-Based Systems. 309. 112810–112810. 2 indexed citations

Chen, Yanning, et al.. (2024). Lightweight Hotspot Detection Model Fusing SE and ECA Mechanisms. Micromachines. 15(10). 1217–1217. 2 indexed citations

Zhang, Fan, Lingling Li, Licheng Jiao, et al.. (2024). Renormalized Connection for Scale-Preferred Object Detection in Satellite Imagery. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–23. 1 indexed citations

Jiao, Licheng, Xu Liu, Fang Liu, et al.. (2024). Brain-Inspired Learning, Perception, and Cognition: A Comprehensive Review. IEEE Transactions on Neural Networks and Learning Systems. 36(4). 5921–5941. 15 indexed citations

Jiao, Licheng, Yangyang Li, Xu Liu, et al.. (2024). High-Order Relation Learning Transformer for Satellite Video Object Tracking. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–15. 3 indexed citations

Jiao, Licheng, Xu Liu, Lingling Li, et al.. (2024). A Spatial-Spectral Relation-Guided Fusion Network for Multisource Optical RS Image Classification. IEEE Transactions on Neural Networks and Learning Systems. 36(5). 8991–9004. 2 indexed citations

Liu, Zhixiong, et al.. (2024). Intelligent Graphic Layout Generation: Current Status and Future Perspectives. 2632–2637. 1 indexed citations

10.

Liu, Xu, Licheng Jiao, Lingling Li, et al.. (2024). MutSimNet: Mutually Reinforcing Similarity Learning for RS Image Change Detection. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–13. 7 indexed citations

11.

Liu, Fang, Licheng Jiao, Hao Wang, et al.. (2024). Visual and Language Collaborative Learning for RGBT Object Tracking. IEEE Transactions on Circuits and Systems for Video Technology. 34(12). 12770–12781. 9 indexed citations

12.

Huang, Zhongjian, Licheng Jiao, Jinyue Zhang, et al.. (2024). A Graph Association Motion-Aware Tracker for Tiny Object in Satellite Videos. IEEE Transactions on Circuits and Systems for Video Technology. 34(12). 12907–12922. 1 indexed citations

13.

Jiao, Licheng, Lingling Li, Xu Liu, et al.. (2024). Domain Generalization-Aware Uncertainty Introspective Learning for 3D Point Clouds Segmentation. 651–660.

14.

Liu, Fang, et al.. (2024). DFGPD: a new distillation framework with global and positional distillation. Multimedia Systems. 30(5). 1 indexed citations

15.

Liu, Fang, Licheng Jiao, Xiangrong Zhang, et al.. (2023). Knowledge transfer evolutionary search for lightweight neural architecture with dynamic inference. Pattern Recognition. 143. 109790–109790. 10 indexed citations

16.

Li, Shuo, et al.. (2023). MinEnt: Minimum entropy for self-supervised representation learning. Pattern Recognition. 138. 109364–109364. 12 indexed citations

17.

Tan, Runhua, et al.. (2023). An Integrated Method to Acquire Technological Evolution Potential to Stimulate Innovative Product Design. Mathematics. 11(3). 619–619. 3 indexed citations

18.

Jiao, Licheng, et al.. (2022). Coarse-to-Fine Contrastive Self-Supervised Feature Learning for Land-Cover Classification in SAR Images With Limited Labeled Data. IEEE Transactions on Image Processing. 31. 6502–6516. 24 indexed citations

19.

Liu, Fang, et al.. (2019). Application of remote sensing technology to geological mapping in the vegetation covered area of southwest Yunnan. Guotu ziyuan yaogan. 31(2). 224–230. 1 indexed citations

20.

Liu, Qian, et al.. (2019). Survey on frequency of medical X-ray diagnosis in Shandong province. Zhonghua fangshe yixue yu fanghu zazhi. 39(5). 363–369. 1 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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