Ning Lv

2.3k citations
93 papers · 1.6k · h-index 21

Impact in

Papers in

    • Advanced Vision and Imaging 17
    • Advanced Image Processing Techniques 15
    • Advanced Neural Network Applications 10
    • Advanced Image and Video Retrieval Techniques 10
    • Video Surveillance and Tracking Methods 9
    • Generative Adversarial Networks and Image Synthesis 7
    • Image Processing Techniques and Applications 9

Ning Lv

82 papers receiving 1.6k citations

Peers

Ning Lv
Comparison fields: 5 of 129
  • Media Technology 230
  • Environmental Engineering 357
  • Atmospheric Science 355
  • Computer Vision and Pattern Recognition 405
  • Water Science and Technology 104
Replace Silvia Liberata Ullo with:
Silvia Liberata Ullo Italy
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Zhong Zhang China
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Ning Lv relative to Silvia Liberata Ullo Italy Silvia Liberata Ullo's profile →
Citations per field
00.5×2.9×
Silvia Liberata Ullo · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Ning Lv, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ning Lv Line = papers co-authored together Ning Lv links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013299
2 2018175
3 2021107
4 201986
5 202280
6 202053
7 202047
8 201846
9 201444
10 201941
11 202239
12 201836
13 202134
14 202032
15 201932
16 201931
17 201828
18 201627
19 201425
20 201924

About Ning Lv

Ning Lv is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Electrical and Electronic Engineering, Control and Systems Engineering and Environmental Engineering, having authored 93 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (17 papers), Advanced Image Processing Techniques (15 papers), Advanced Neural Network Applications (10 papers), Advanced Image and Video Retrieval Techniques (10 papers), Video Surveillance and Tracking Methods (9 papers), Image Processing Techniques and Applications (9 papers), Supercapacitor Materials and Fabrication (7 papers) and Generative Adversarial Networks and Image Synthesis (7 papers). The work is most often cited by research in Media Technology (230 citations), Environmental Engineering (357 citations), Atmospheric Science (355 citations), Computer Vision and Pattern Recognition (405 citations) and Water Science and Technology (104 citations). Ning Lv has collaborated with scholars based in China, Canada and United States. Frequent 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. Their work appears in journals such as IEEE Access, IEEE Geoscience and Remote Sensing Letters, IEEE Transactions on Industrial Informatics, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing and Pattern Recognition.

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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