Jiale Zhu

959 citations
29 papers · 639 indexed · 1 hit paper · h-index 11
Topics
MXene and MAX Phase Materials (5 papers)Ferroelectric and Negative Capacitance Devices (4 papers)Sparse and Compressive Sensing Techniques (3 papers)
Partner nations
ChinaCanadaSaudi Arabia

In The Last Decade

Jiale Zhu

27 papers receiving 625 citations

Hit Papers

RemoteCLIP: A Vision Language Foundation Model for Remote...202420262025202450100150

Peers

Jiale Zhu
Comparison fields: 5 of 95
  • Materials Chemistry 168
  • Computer Vision and Pattern Recognition 128
  • Artificial Intelligence 117
  • Mechanical Engineering 112
  • Biomedical Engineering 105
Replace Alexander I. Gavrilov with:
Alexander I. Gavrilov Russia
Jiacong Xu China
Xin Zhan China
Shaopeng Guo China
Shuai Shao China
V. Rajini India
Jianwei Guo China
Xiaofeng Wu China
Congxuan Zhang China
Jiale Zhu relative to Alexander I. Gavrilov Russia Alexander I. Gavrilov's profile →
Citations per field
00.5×
Alexander I. Gavrilov · 1×
Citations per year

Countries citing papers authored by Jiale Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Jiale Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiale Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Jiale Zhu. A scholar is included among the top collaborators of Jiale Zhu 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 Jiale Zhu. Jiale Zhu 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 0
2 1
3 12
4 10
5 4
6 11
7 2
8 1
9 6
10 100
11 6
12 78
13 25
14 3
15 70
16 4
17 30
18 3
19 49
20 2

About Jiale Zhu

Jiale Zhu is a scholar working on Conservation, Industrial and Manufacturing Engineering and Computational Mechanics, having authored 29 papers that have together received 639 indexed citations. Recurring topics across this work include MXene and MAX Phase Materials (5 papers), Ferroelectric and Negative Capacitance Devices (4 papers) and Sparse and Compressive Sensing Techniques (3 papers). The work is most often cited by research in Media Technology (77 citations), Computer Vision and Pattern Recognition (128 citations) and Artificial Intelligence (117 citations). Jiale Zhu has collaborated with scholars based in China, Canada and Saudi Arabia. Frequent co-authors include Fan Liu, Delong Chen, Jun Zhou, Liyong Fu, Xiaocong Zhou, Qiaolin Ye, Jielin Jiang, Yan Cui, Xiaolong Xu and Neeraj Kumar. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Nanoscale and Plant Cell & Environment.

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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