Ning Lv

2.3k total citations
93 papers, 1.6k citations indexed

About

Ning Lv is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Electrical and Electronic Engineering. According to data from OpenAlex, Ning Lv has authored 93 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Computer Vision and Pattern Recognition, 18 papers in Media Technology and 14 papers in Electrical and Electronic Engineering. Recurrent topics in Ning Lv's work include Advanced Vision and Imaging (17 papers), Advanced Image Processing Techniques (15 papers) and Advanced Neural Network Applications (10 papers). Ning Lv is often cited by papers focused on Advanced Vision and Imaging (17 papers), Advanced Image Processing Techniques (15 papers) and Advanced Neural Network Applications (10 papers). Ning Lv collaborates with scholars based in China, Canada and United States. Ning Lv's co-authors include Chen Chen, Tie Qiu, Mingliang Zhai, Xuezhi Xiang, Abdulmotaleb El Saddik, Arun Kumar Sangaiah, Qingqi Pei, Xiangdong Kong, Yang Zhou and Jiange Jiang and has published in prestigious journals such as IEEE Transactions on Image Processing, International Journal of Hydrogen Energy and IEEE Access.

In The Last Decade

Ning Lv

82 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ning Lv China 21 405 357 355 230 204 93 1.6k
Silvia Liberata Ullo Italy 24 255 0.6× 261 0.7× 121 0.3× 209 0.9× 299 1.5× 107 1.9k
Xin Pan China 17 429 1.1× 353 1.0× 396 1.1× 831 3.6× 245 1.2× 83 1.9k
Weiwei Song China 20 438 1.1× 90 0.3× 396 1.1× 690 3.0× 231 1.1× 115 1.7k
Roger L. King United States 23 810 2.0× 337 0.9× 365 1.0× 1.2k 5.4× 98 0.5× 87 2.4k
Jixian Zhang China 17 165 0.4× 290 0.8× 189 0.5× 512 2.2× 62 0.3× 106 1.4k
Davut Hanbay Türkiye 25 414 1.0× 155 0.4× 147 0.4× 215 0.9× 83 0.4× 104 2.1k
Liguo Weng China 19 308 0.8× 123 0.3× 128 0.4× 266 1.2× 82 0.4× 73 979
Lichuan Gu China 14 302 0.7× 137 0.4× 88 0.2× 276 1.2× 83 0.4× 55 1.5k

Countries citing papers authored by Ning Lv

Since Specialization
Citations

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

Fields of papers citing papers by Ning Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ning Lv

This figure shows the co-authorship network connecting the top 25 collaborators of Ning Lv. A scholar is included among the top collaborators of Ning Lv 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 Ning Lv. Ning Lv 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.
Lv, Ning, et al.. (2025). A Multisource Image Matching Method Based on Contrastive Network With Similarity Weighting. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 6266–6278.
2.
Liu, Jin, et al.. (2024). Hybrid Bi2Te3/Bi2TeO5 nanoscale flakes via chemical disproportionation under microwave: Electrochemical supercapacitor applications. Ceramics International. 50(11). 18408–18415. 6 indexed citations
3.
Lv, Ning, et al.. (2024). Prominent Structure-Guided Feature Representation for SAR and Optical Image Registration. IEEE Geoscience and Remote Sensing Letters. 21. 1–5.
4.
Chen, Chen, et al.. (2024). A Safe-Distance Control Scheme to Avoid New Infection Like COVID-19 Virus Using Millimeter-Wave Radar. IEEE Sensors Journal. 24(5). 5687–5703. 11 indexed citations
5.
Lv, Ning, et al.. (2023). Microwave synthesis of self-supported Bi/NF anodes with ultra-high capacity for supercapacitors and hydrogen evolution reaction. International Journal of Hydrogen Energy. 49. 1245–1257. 3 indexed citations
6.
Lv, Ning, et al.. (2023). Regioselective [3 + 2] cycloaddition of diazo reagents and internal alkynes: Accessing regiosomers of highly substituted trifluoromethylpyrazoles. Journal of Fluorine Chemistry. 272. 110216–110216. 2 indexed citations
7.
Lv, Ning, Xuezhi Xiang, Xinyao Wang, Yulong Qiao, & Abdulmotaleb El Saddik. (2023). Learning feature contexts by transformer and CNN hybrid deep network for weakly supervised person search. Computer Vision and Image Understanding. 239. 103906–103906. 1 indexed citations
8.
Lv, Ning, Xuezhi Xiang, Xinyao Wang, Yulong Qiao, & Abdulmotaleb El Saddik. (2023). Global-aware and local-aware enhancement network for person search. Computer Vision and Image Understanding. 236. 103804–103804. 1 indexed citations
9.
Su, Tao, et al.. (2022). Adaptive Registration for Optical and SAR Images With a Scale-Constrained Matching Method. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 4 indexed citations
10.
Xiang, Xuezhi, et al.. (2021). Multi-object Tracking Method Based on Efficient Channel Attention and Switchable Atrous Convolution. Neural Processing Letters. 53(4). 2747–2763. 8 indexed citations
11.
Xiang, Xuezhi, et al.. (2021). Self-supervised Monocular Trained Depth Estimation Using Triplet Attention and Funnel Activation. Neural Processing Letters. 53(6). 4489–4506. 6 indexed citations
12.
Wang, Cong, Chen Chen, Qingqi Pei, Ning Lv, & Houbing Song. (2020). Popularity Incentive Caching for Vehicular Named Data Networking. IEEE Transactions on Intelligent Transportation Systems. 23(4). 3640–3653. 32 indexed citations
13.
Chen, Chen, Jiange Jiang, Ning Lv, & Siyu Li. (2020). An Intelligent Path Planning Scheme of Autonomous Vehicles Platoon Using Deep Reinforcement Learning on Network Edge. IEEE Access. 8. 99059–99069. 53 indexed citations
14.
Chen, Chen, Tingting Xiao, Tie Qiu, Ning Lv, & Qingqi Pei. (2019). Smart-Contract-Based Economical Platooning in Blockchain-Enabled Urban Internet of Vehicles. IEEE Transactions on Industrial Informatics. 16(6). 4122–4133. 86 indexed citations
15.
Zhai, Mingliang, et al.. (2019). SKFlow: Optical Flow Estimation Using Selective Kernel Networks. IEEE Access. 7. 98854–98865. 5 indexed citations
16.
Zhai, Mingliang, et al.. (2019). Optical flow estimation using channel attention mechanism and dilated convolutional neural networks. Neurocomputing. 368. 124–132. 24 indexed citations
17.
Zhai, Mingliang, Xuezhi Xiang, Rongfang Zhang, Ning Lv, & Abdulmotaleb El Saddik. (2019). Learning Optical Flow Using Deep Dilated Residual Networks. IEEE Access. 7. 22566–22578. 9 indexed citations
18.
Xiang, Xuezhi, Mingliang Zhai, Ning Lv, & Abdulmotaleb El Saddik. (2018). Vehicle Counting Based on Vehicle Detection and Tracking from Aerial Videos. Sensors. 18(8). 2560–2560. 46 indexed citations
19.
Xiang, Xuezhi, et al.. (2018). Engineering Vehicles Detection Based on Modified Faster R-CNN for Power Grid Surveillance. Sensors. 18(7). 2258–2258. 36 indexed citations
20.
Lin, Ronghua, et al.. (2014). Impact of imidacloprid on life-cycle development of Coccinella septempunctata in laboratory microcosms. Ecotoxicology and Environmental Safety. 110. 168–173. 44 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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