Na Liu‎

1.7k total citations · 1 hit paper
64 papers, 1.2k citations indexed

About

Na Liu‎ is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Na Liu‎ has authored 64 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Media Technology, 27 papers in Computer Vision and Pattern Recognition and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Na Liu‎'s work include Advanced Image Fusion Techniques (18 papers), Remote-Sensing Image Classification (16 papers) and Image and Signal Denoising Methods (13 papers). Na Liu‎ is often cited by papers focused on Advanced Image Fusion Techniques (18 papers), Remote-Sensing Image Classification (16 papers) and Image and Signal Denoising Methods (13 papers). Na Liu‎ collaborates with scholars based in China, United States and France. Na Liu‎'s co-authors include Haijun Zhang, Victor C. M. Leung, Keping Long, A.H. Aghvami, Xiaoli Chu, Wei Li, Ran Tao, Qian Du, Jocelyn Chanussot and Xiaohong Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Hazardous Materials and Scientific Reports.

In The Last Decade

Na Liu‎

58 papers receiving 1.2k citations

Hit Papers

Network Slicing Based 5G ... 2017 2026 2020 2023 2017 100 200 300 400 500
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. Network Slicing Based 5G and Future Mobile Networks: Mobility, Resource Management, and Challenges
    2017 539 citations Haijun Zhang, Na Liu‎ et al. IEEE Communications Magazine profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Na Liu‎ China 17 474 437 345 336 100 64 1.2k
Chien-Ping Chang Taiwan 16 300 0.6× 552 1.3× 147 0.4× 481 1.4× 71 0.7× 30 1.2k
Jizhou Sun China 17 76 0.2× 380 0.9× 127 0.4× 340 1.0× 140 1.4× 130 990
Nian-Feng Tzeng United States 21 738 1.6× 1.5k 3.4× 112 0.3× 67 0.2× 142 1.4× 148 1.9k
Seyed Ahmad Motamedi Iran 13 181 0.4× 237 0.5× 47 0.1× 161 0.5× 44 0.4× 80 623
Chen Huang China 21 833 1.8× 226 0.5× 95 0.3× 73 0.2× 130 1.3× 102 1.2k
Tao Luo China 17 349 0.7× 56 0.1× 193 0.6× 318 0.9× 92 0.9× 107 1.1k
Marwan Hadri Azmi Malaysia 21 1.0k 2.2× 429 1.0× 236 0.7× 31 0.1× 83 0.8× 64 1.4k
Michael Cheffena Norway 25 1.6k 3.3× 546 1.2× 80 0.2× 109 0.3× 112 1.1× 107 2.0k
Kai Zhao China 17 472 1.0× 291 0.7× 34 0.1× 246 0.7× 306 3.1× 119 1.2k

Countries citing papers authored by Na Liu‎

Since Specialization
Citations

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

Fields of papers citing papers by Na Liu‎

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Na Liu‎

This figure shows the co-authorship network connecting the top 25 collaborators of Na Liu‎. A scholar is included among the top collaborators of Na 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 Na Liu‎. Na 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, Bin, et al.. (2025). Increased ABA synthesis by overexpression of Cd-NAC ameliorates cadmium toxicity in vegetable soybean. International Journal of Biological Macromolecules. 305(Pt 1). 141022–141022. 2 indexed citations
3.
Wang, Bin, et al.. (2025). A CCT protein GmCIC5 activates GmP5CS to regulate proline accumulation and cadmium tolerance in vegetable soybean. Journal of Hazardous Materials. 493. 138319–138319.
4.
Wang, Yifan, Shu Sun, Na Liu‎, Lianming Xu, & Li Wang. (2025). Two-Stage Radio Map Construction With Real Environments and Sparse Measurements. IEEE Wireless Communications Letters. 14(4). 969–973. 1 indexed citations
5.
Hu, Jinxuan, Cheng Chen, Guwen Zhang, et al.. (2024). ResNet incorporating the fusion data of RGB & hyperspectral images improves classification accuracy of vegetable soybean freshness. Scientific Reports. 14(1). 2568–2568. 16 indexed citations
6.
7.
Liu‎, Na, et al.. (2023). A Pansharpening Method Based on Hybrid-Scale Estimation of Injection Gains. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–15. 7 indexed citations
8.
Liu‎, Na, Lu Li, Wei Li, et al.. (2021). Hyperspectral Restoration and Fusion With Multispectral Imagery via Low-Rank Tensor-Approximation. IEEE Transactions on Geoscience and Remote Sensing. 59(9). 7817–7830. 50 indexed citations
9.
Liu‎, Na, et al.. (2021). Gesture Recognition Method Based on Doppler Radar Technology. 38. 53–57. 1 indexed citations
10.
Liu‎, Na, et al.. (2021). Destriping Hyperspectral Imagery By Adaptive Anisotropic Total Variation And Truncated Nuclear Norm. Institutional Repository University of Antwerp (University of Antwerp). 1–4. 5 indexed citations
11.
Liu‎, Na, Wei Li, Ran Tao, & James E. Fowler. (2019). Wavelet-Domain Low-Rank/Group-Sparse Destriping for Hyperspectral Imagery. IEEE Transactions on Geoscience and Remote Sensing. 57(12). 10310–10321. 34 indexed citations
12.
Liu‎, Na, Wei Li, Ran Tao, James E. Fowler, & Lina Yang. (2019). Hyperspectral Stripes Removal With Wavelet-Domain Low-Rank/Group-Sparse Decomposition. 10. 1–4. 1 indexed citations
13.
Liu‎, Na, Wei Li, & Qian Du. (2018). Unsupervised Feature Extraction for Hyperspectral Imagery Using Collaboration-Competition Graph. IEEE Journal of Selected Topics in Signal Processing. 12(6). 1491–1503. 23 indexed citations
14.
Liu‎, Na, et al.. (2018). Improving the Separability of Deep Features with Discriminative Convolution Filters for RSI Classification. ISPRS International Journal of Geo-Information. 7(3). 95–95. 17 indexed citations
15.
Zhang, Haijun, Na Liu‎, Xiaoli Chu, et al.. (2017). Network Slicing Based 5G and Future Mobile Networks: Mobility, Resource Management, and Challenges. IEEE Communications Magazine. 55(8). 138–145. 539 indexed citations breakdown →
16.
Liu‎, Na, et al.. (2016). Electrochemical performance of rod-type ordered mesoporous carbons with different rod lengths for electric double-layer capacitors. New Carbon Materials. 31(3). 328–335. 3 indexed citations
17.
Du, Ling, Xiaochun Cao, Wei Zhang, et al.. (2016). Semi-fragile watermarking for image authentication based on compressive sensing. Science China Information Sciences. 59(5). 4 indexed citations
18.
Liu‎, Na, et al.. (2016). Data Preprocessing Based on Partially Supervised Learning. 2 indexed citations
19.
Liu‎, Na, et al.. (2016). Research on L-MVC Framework. 8. 151–154. 4 indexed citations
20.
Liu‎, Na, et al.. (2009). A novel super-resolution image fusion algorithm based on improved PCNN and wavelet transform. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7496. 749621–749621. 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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