Ningzhong Liu

1.1k total citations · 1 hit paper
60 papers, 640 citations indexed

About

Ningzhong Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Ningzhong Liu has authored 60 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Computer Vision and Pattern Recognition, 17 papers in Artificial Intelligence and 9 papers in Media Technology. Recurrent topics in Ningzhong Liu's work include Advanced Neural Network Applications (23 papers), Video Surveillance and Tracking Methods (13 papers) and Advanced Image and Video Retrieval Techniques (11 papers). Ningzhong Liu is often cited by papers focused on Advanced Neural Network Applications (23 papers), Video Surveillance and Tracking Methods (13 papers) and Advanced Image and Video Retrieval Techniques (11 papers). Ningzhong Liu collaborates with scholars based in China, United Kingdom and Australia. Ningzhong Liu's co-authors include Han Sun, Qun Dai, Jiaquan Shen, Deguang Li, Yongxin Zhang, Huiyu Zhou, Dong Liang, Xingming Zheng, Jian Yang and Ting Zhang and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Sensors.

In The Last Decade

Ningzhong Liu

54 papers receiving 621 citations

Hit Papers

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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.

An algorithm based on lightweight semantic features for ancient mural element object detection

2025 27 citations Jiaquan Shen, Ningzhong Liu et al. npj Heritage Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ningzhong Liu China	15	377	138	92	87	79	60	640
Yan Cui China	11	317 0.8×	147 1.1×	58 0.6×	89 1.0×	72 0.9×	32	606
Jiexin Pu China	13	387 1.0×	126 0.9×	102 1.1×	71 0.8×	40 0.5×	72	672
Feng Su China	13	301 0.8×	141 1.0×	74 0.8×	196 2.3×	52 0.7×	100	701
Amir Atapour–Abarghouei United Kingdom	13	432 1.1×	317 2.3×	134 1.5×	62 0.7×	77 1.0×	34	803
Gang Zhang China	15	383 1.0×	208 1.5×	64 0.7×	72 0.8×	30 0.4×	53	661
Qi Fan China	9	435 1.2×	280 2.0×	69 0.8×	74 0.9×	54 0.7×	27	686
Xue Yuan China	12	361 1.0×	83 0.6×	126 1.4×	67 0.8×	33 0.4×	48	531
Renjie Song China	10	414 1.1×	381 2.8×	72 0.8×	44 0.5×	41 0.5×	29	824
Yung-Yao Chen Taiwan	15	364 1.0×	73 0.5×	62 0.7×	38 0.4×	32 0.4×	82	705

Countries citing papers authored by Ningzhong Liu

Since Specialization

Citations

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

Fields of papers citing papers by Ningzhong Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ningzhong Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Ningzhong Liu. A scholar is included among the top collaborators of Ningzhong 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 Ningzhong Liu. Ningzhong Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Liu, Ningzhong, et al.. (2025). Freq-DETR: Frequency-aware transformer for real-time small object detection in unmanned aerial vehicle imagery. Expert Systems with Applications. 298. 129710–129710.

Shen, Jiaquan, Ningzhong Liu, Han Sun, et al.. (2025). An algorithm based on lightweight semantic features for ancient mural element object detection. npj Heritage Science. 13(1). 27 indexed citations breakdown →

Liu, Ningzhong, et al.. (2025). Investigation and Research on Several Key Issues of Software Defect Prediction. IET Software. 2025(1). 1 indexed citations

Shen, Jiaquan, et al.. (2025). Lightweight Semantic Feature Extraction Model With Direction Awareness for Aerial Traffic Object Detection. IEEE Transactions on Intelligent Transportation Systems. 1–18.

Gao, Pan, et al.. (2024). Degradation-Aware Self-Attention Based Transformer for Blind Image Super-Resolution. IEEE Transactions on Multimedia. 26. 7516–7528. 12 indexed citations

Liu, Ningzhong, et al.. (2024). Uncertain region mining semi-supervised object detection. Applied Intelligence. 54(2). 2300–2313.

Liang, Dong, et al.. (2024). CPRNC: Channels pruning via reverse neuron crowding for model compression. Computer Vision and Image Understanding. 240. 103942–103942. 5 indexed citations

Shen, Jiaquan, Ningzhong Liu, Han Sun, Deguang Li, & Yongxin Zhang. (2024). An Instrument Indication Acquisition Algorithm Based on Lightweight Deep Convolutional Neural Network and Hybrid Attention Fine-Grained Features. IEEE Transactions on Instrumentation and Measurement. 73. 1–16. 19 indexed citations

Liu, Ningzhong, et al.. (2023). Lifelong Scene Text Recognizer via Expert Modules. 1821–1830. 1 indexed citations

10.

Liu, Ningzhong, et al.. (2023). Reverse Knowledge Distillation with Two Teachers for Industrial Defect Detection. Applied Sciences. 13(6). 3838–3838. 9 indexed citations

11.

Liu, Ningzhong, et al.. (2022). Behavioral Analysis of EEG Signals in Loss-Gain Decision-Making Experiments. Behavioural Neurology. 2022. 1–11. 1 indexed citations

12.

Shen, Jiaquan, Ningzhong Liu, Han Sun, Deguang Li, & Yongxin Zhang. (2022). Lightweight Deep Network With Context Information and Attention Mechanism for Vehicle Detection in Aerial Image. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 11 indexed citations

13.

Shen, Jiaquan, et al.. (2022). An Anchor-Free Lightweight Deep Convolutional Network for Vehicle Detection in Aerial Images. IEEE Transactions on Intelligent Transportation Systems. 23(12). 24330–24342. 46 indexed citations

14.

Shen, Jiaquan, et al.. (2022). An Anchor-Free Vehicle Detection Algorithm in Aerial Image Based on Context Information and Transformer. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 5 indexed citations

15.

Shen, Jiaquan, et al.. (2021). Finger Vein Recognition Algorithm Based on Lightweight Deep Convolutional Neural Network. IEEE Transactions on Instrumentation and Measurement. 71. 1–13. 67 indexed citations

16.

Liu, Ningzhong, et al.. (2020). Vehicle detection in aerial images based on lightweight deep convolutional network. IET Image Processing. 15(2). 479–491. 17 indexed citations

17.

Liu, Ningzhong, et al.. (2018). QR codes blind deconvolution algorithm based on binary characteristic and L 0 norm minimization. Pattern Recognition Letters. 111. 117–123. 11 indexed citations

18.

Liu, Ningzhong. (2005). Detection and Localization of Bar Code in Complicated Background. Nanjing Hangkong Hangtian Daxue xuebao. 2 indexed citations

19.

Liu, Ningzhong. (2004). Recognition of Two-dimension Barcode Based on Midpoint Detection. Mini-micro Systems. 2 indexed citations

20.

Liu, Ningzhong. (2003). Recognition of Two-dimension Barcode Based on Subpixel Detection. Jisuanji gongcheng. 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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