Zhepeng Wang

504 citations
28 papers · 276 indexed · h-index 9
Topics
Quantum Computing Algorithms and Architecture (7 papers)Advanced Memory and Neural Computing (3 papers)Domain Adaptation and Few-Shot Learning (3 papers)

In The Last Decade

Zhepeng Wang

27 papers receiving 273 citations

Peers

Zhepeng Wang
Comparison fields: 5 of 80
  • Artificial Intelligence 138
  • Computer Vision and Pattern Recognition 64
  • Electrical and Electronic Engineering 61
  • Molecular Biology 24
  • Computer Networks and Communications 22
Replace Venkat Dasari with:
Venkat Dasari United States
Ismail M. Khater Canada
Yaling Tao China
F. Ballester Spain
Jianzhou Feng China
Edward Kien Yee Yapp Singapore
Nai‐Wen Chang Taiwan
Meiyu Duan China
Ke Zuo China
Oliver Dürr Switzerland
Zhepeng Wang relative to Venkat Dasari United States Venkat Dasari's profile →
Citations per field
00.5×3.8×
Venkat Dasari · 1×
Citations per year

Countries citing papers authored by Zhepeng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Zhepeng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhepeng Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhepeng Wang. A scholar is included among the top collaborators of Zhepeng Wang 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 Zhepeng Wang. Zhepeng Wang 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 2
2 1
3 3
4 1
5 7
6 0
7 2
8 6
9 44
10 8
11 11
12 16
13 7
14 10
15 18
16
Federated Contrastive Representation Learning with Feature Fusion and Neighborhood Matching
2
17 19
18 6
19 1
20 36

About Zhepeng Wang

Zhepeng Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Immunology and Allergy, having authored 28 papers that have together received 276 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (7 papers), Advanced Memory and Neural Computing (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). The work is most often cited by research in Health Informatics (6 citations), Artificial Intelligence (138 citations) and Immunology and Allergy (22 citations). Zhepeng Wang has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Yiyu Shi, Jingtong Hu, Yawen Wu, Dewen Zeng, Weiwen Jiang, Necat Havlioglu, Jennifer Bryan, Carl Franz, Linda J. Sandell and Caiwen Ding. Their work appears in journals such as Journal of Biological Chemistry, Materials Science and Engineering A and Medical Image Analysis.

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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