Yupei Zhang

2.0k citations
124 papers · 1.6k · h-index 23

Impact in

Papers in

Yupei Zhang

109 papers receiving 1.5k citations

Peers

Yupei Zhang
Comparison fields: 5 of 137
  • Computer Science Applications 181
  • Artificial Intelligence 355
  • Computer Vision and Pattern Recognition 216
  • Media Technology 82
  • Health Informatics 11
Replace Fan Zhang with:
Fan Zhang China
Xiangxiang Xu China
Fan Zhang China
Xinhong Zhang China
Liang Ding China
Xu Bin China
Zhaoyang Liu China
Hong Li China
Tae‐Seong Kim South Korea
Yupei Zhang relative to Fan Zhang China Fan Zhang's profile →
Citations per field
00.5×8.6×
Fan Zhang · 1×
Citations per year

Countries citing papers authored by Yupei Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Yupei Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yupei Zhang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yupei Zhang Line = papers co-authored together Yupei Zhang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 124 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018117
2 201585
3 201668
4 201766
5 201763
6 202161
7 201851
8 202151
9 202043
10 202043
11 202342
12 201641
13 201239
14 202036
15 202036
16 202036
17 201832
18 202030
19 202330
20 202027

About Yupei Zhang

Yupei Zhang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Computer Science Applications and Molecular Biology, having authored 124 papers that have together received 1.6k indexed citations. Recurring topics across this work include Online Learning and Analytics (17 papers), Intelligent Tutoring Systems and Adaptive Learning (12 papers), Advanced Graph Neural Networks (9 papers), Advanced Memory and Neural Computing (7 papers), Domain Adaptation and Few-Shot Learning (7 papers), Topic Modeling (7 papers), Organic Electronics and Photovoltaics (7 papers) and Face and Expression Recognition (6 papers). The work is most often cited by research in Computer Science Applications (181 citations), Artificial Intelligence (355 citations), Computer Vision and Pattern Recognition (216 citations), Media Technology (82 citations) and Health Informatics (11 citations). Yupei Zhang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xuequn Shang, Bo Yang, Ming Xiang, Shuhui Liu, Juewen Liu, Jinsong Ding, Wenhu Zhou, Jiaqi Cui, Rui An and Huan Dai. Their work appears in journals such as Pattern Recognition, Neurocomputing, Knowledge-Based Systems, Separation and Purification Technology and Frontiers in Psychology.

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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