Chenchen Zhu

3.5k total citations · 2 hit papers
42 papers, 1.3k citations indexed

About

Chenchen Zhu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Chenchen Zhu has authored 42 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 5 papers in Molecular Biology. Recurrent topics in Chenchen Zhu's work include Advanced Neural Network Applications (10 papers), Face and Expression Recognition (6 papers) and Domain Adaptation and Few-Shot Learning (6 papers). Chenchen Zhu is often cited by papers focused on Advanced Neural Network Applications (10 papers), Face and Expression Recognition (6 papers) and Domain Adaptation and Few-Shot Learning (6 papers). Chenchen Zhu collaborates with scholars based in China, United States and Hong Kong. Chenchen Zhu's co-authors include Marios Savvides, Xiangyu Zhang, Yihui He, Jianren Wang, Khoa Luu, Ngan Le, Zengchang Qin, Tao Wan, Yutong Zheng and Fangyi Chen and has published in prestigious journals such as Applied Physics Letters, Frontiers in Immunology and Pattern Recognition.

In The Last Decade

Chenchen Zhu

38 papers receiving 1.3k citations

Hit Papers

Bounding Box Regression With Uncertainty for Accurate Obj... 2019 2026 2021 2023 2019 2024 100 200 300

Peers

Chenchen Zhu
Comparison fields: 5 of 123
  • Computer Vision and Pattern Recognition 844
  • Artificial Intelligence 368
  • Aerospace Engineering 228
  • Media Technology 221
  • Human-Computer Interaction 89
Replace John Zelek with:
John Zelek Canada
Qijie Zhao China
Hongkai Yu United States
Vijay John Japan
David K. Han United States
Jinshi Cui China
Weidong Min China
Di Feng Germany
Fabian Timm Germany
Haizhou Ai China
John Zelek Canada View profile →
Citations per field, relative to Chenchen Zhu
Chenchen Zhu · 1×
Citations per year, relative to Chenchen Zhu
Chenchen Zhu · 1×

Countries citing papers authored by Chenchen Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Chenchen Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenchen Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Chenchen Zhu. A scholar is included among the top collaborators of Chenchen 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 Chenchen Zhu. Chenchen 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
# Work Indexed citations
1 0
2 0
3 3
4 1
5 0
6
EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything breakdown →
74
7 14
8 8
9 2
10 8
11 3
12 3
13 1
14 6
15 1
16 2
17 2
18 135
19 21
20
酸化タンタル薄膜の逆圧電効果による歪み,抵抗,およびキャパシタンスの変調
1

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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