Ning Jiang

531 citations
40 papers · 271 indexed · h-index 9
Topics
Advanced Image and Video Retrieval Techniques (19 papers)Advanced Neural Network Applications (10 papers)Video Surveillance and Tracking Methods (9 papers)
Partner nations
ChinaJapanAustralia

In The Last Decade

Ning Jiang

36 papers receiving 264 citations

Peers

Ning Jiang
Comparison fields: 5 of 58
  • Computer Vision and Pattern Recognition 210
  • Artificial Intelligence 96
  • Media Technology 30
  • Information Systems 24
  • Signal Processing 20
Replace Weiwei Sun with:
Weiwei Sun China
Amrit Kumar Agrawal India
K. Hemachandran India
Curtis Wigington United States
Jingcai Guo Hong Kong
Xing Tian China
Ladislav Lenc Czechia
Ruohan Meng China
Zhanqiang Huo China
Yuting Hu China
Ning Jiang relative to Weiwei Sun China Weiwei Sun's profile →
Citations per field
00.5×1.5×
Weiwei Sun · 1×
Citations per year

Countries citing papers authored by Ning Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Ning Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ning Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Ning Jiang. A scholar is included among the top collaborators of Ning Jiang 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 Jiang. Ning Jiang 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
#WorkIndexed citations
1 1
2 4
3 1
4 3
5 17
6 3
7 43
8 1
9 7
10 2
11 6
12 3
13 3
14 4
15 0
16
Non-Redundant Gradient Semantic Local Binary Patterns for pedestrian detection
1
17 0
18 3
19 7
20
A data centered approach for cache partitioning in embedded real-time database system
1

About Ning Jiang

Ning Jiang is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computer Graphics and Computer-Aided Design, having authored 40 papers that have together received 271 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (19 papers), Advanced Neural Network Applications (10 papers) and Video Surveillance and Tracking Methods (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (210 citations), Media Technology (30 citations) and Artificial Intelligence (96 citations). Ning Jiang has collaborated with scholars based in China, Japan and Australia. Frequent co-authors include Wenxin Yu, Satoshi Goto, Yu Zhou, Jiu Xu, Weiping Wang, Guoqing Zhao, Yuan Zhang, Xiaojie Yuan, Haiwei Zhang and Hongbin Wang. Their work appears in journals such as PLoS ONE, IEEE Transactions on Image Processing and IEEE Access.

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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