Jiangning Zhang

57 papers receiving 1.1k citations

Hit Papers

Rethinking Mobile Block for Efficient Attention-based Models202320262024202520232023202420254080120

Peers

Jiangning Zhang
Comparison fields: 5 of 104
  • Computer Vision and Pattern Recognition 632
  • Artificial Intelligence 391
  • Industrial and Manufacturing Engineering 125
  • Control and Systems Engineering 106
  • Computer Networks and Communications 97
Replace Hongshan Yu with:
Hongshan Yu China
Yan Cui China
Feng Su China
Xing Hu China
Yoshiaki Shirai Japan
M. Arif Wani India
Kevin Lai United States
Stamatios Georgoulis Switzerland
Jiangning Zhang relative to Hongshan Yu China Hongshan Yu's profile →
Citations per field
00.5×3.5×
Hongshan Yu · 1×
Citations per year

Countries citing papers authored by Jiangning Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Jiangning Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiangning Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Jiangning Zhang. A scholar is included among the top collaborators of Jiangning Zhang 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 Jiangning Zhang. Jiangning Zhang 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 8
2 1
3 0
4 0
5 0
6 1
7 51
8 9
9
Towards Open Vocabulary Learning: A Surveybreakdown →
64
10 7
11 1
12 0
13 8
14 0
15 27
16 1
17 10
18 7
19 110
20 21

About Jiangning Zhang

Jiangning Zhang is a scholar working on Computer Vision and Pattern Recognition, Geology and Computer Graphics and Computer-Aided Design, having authored 68 papers that have together received 1.2k indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (12 papers), Generative Adversarial Networks and Image Synthesis (11 papers) and Face recognition and analysis (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (632 citations), Industrial and Manufacturing Engineering (125 citations) and Artificial Intelligence (391 citations). Jiangning Zhang has collaborated with scholars based in China, Singapore and Australia. Frequent co-authors include Yong Liu, Chengjie Wang, Yabiao Wang, Liang Liu, Xiangtai Li, Mengmeng Wang, Tianxin Huang, Xianfang Zeng, Ran Yi and Yufei Liang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Industrial Electronics and IEEE Transactions on Image Processing.

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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