Dawei Zhou

1.0k citations
42 papers · 653 · h-index 15

Impact in

Papers in

Dawei Zhou

40 papers receiving 642 citations

Peers

Dawei Zhou
Comparison fields: 5 of 99
  • Statistical and Nonlinear Physics 160
  • Artificial Intelligence 353
  • Computer Vision and Pattern Recognition 135
  • Applied Psychology 24
  • Signal Processing 38
Replace Sayan Ghosh with:
Sayan Ghosh United States
P.W. Grant United Kingdom
Sherzod Turaev Malaysia
Wenchao Yu United States
Binh T. Nguyen Vietnam
Sangwook Kim South Korea
Zhenguo Yang China
Yanbin Hao China
Kai Qiu China
Dawei Zhou relative to Sayan Ghosh United States Sayan Ghosh's profile →
Citations per field
00.5×
Sayan Ghosh · 1×
Citations per year

Countries citing papers authored by Dawei Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Dawei Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dawei Zhou, 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 Dawei Zhou Line = papers co-authored together Dawei Zhou links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200964
2 202063
3 201560
4 201153
5 201747
6 201845
7 202028
8 202028
9 202127
10 201526
11 200724
12 201921
13
MUVIR: multi-view rare category detection
201521
14 202017
15 201917
16 200912
17 202111
18 201511
19 202011
20 201610

About Dawei Zhou

Dawei Zhou is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, Computer Networks and Communications and Signal Processing, having authored 42 papers that have together received 653 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (9 papers), Complex Network Analysis Techniques (9 papers), Imbalanced Data Classification Techniques (6 papers), Text and Document Classification Technologies (6 papers), Time Series Analysis and Forecasting (4 papers), Data Visualization and Analytics (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Algorithms and Data Compression (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (160 citations), Artificial Intelligence (353 citations), Computer Vision and Pattern Recognition (135 citations), Applied Psychology (24 citations) and Signal Processing (38 citations). Dawei Zhou has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Jingrui He, Guohai Liu, Congli Mei, Hasan Davulcu, Jiawei Han, Haixia Xu, Hongxia Yang, Wei Fan, Hanghang Tong and Si Zhang. Their work appears in journals such as Expert Systems with Applications, ACM Transactions on Knowledge Discovery from Data, Industrial Robot the international journal of robotics research and application, Frontiers of Computer Science and ACM Computing Surveys.

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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