Zhongyu Wei

5.3k citations
124 papers · 2.6k indexed · 2 hit papers · h-index 23
Topics
Topic Modeling (65 papers)Natural Language Processing Techniques (42 papers)Multimodal Machine Learning Applications (24 papers)

In The Last Decade

Zhongyu Wei

110 papers receiving 2.5k citations

Hit Papers

Detect Rumors Using Time Series of Social Context Informa...201520262018202220152021100200300400

Peers

Zhongyu Wei
Comparison fields: 5 of 129
  • Artificial Intelligence 1.6k
  • Sociology and Political Science 467
  • Molecular Biology 441
  • Information Systems 403
  • Computer Vision and Pattern Recognition 377
Replace Yanghua Xiao with:
Yanghua Xiao China
Xintao Wu United States
Yanyan Lan China
Xiaolin Zheng China
Huan Sun United States
Duyu Tang China
Adriano Veloso Brazil
Mustafa Bilgic United States
Heng Ji United States
Marc Streit Austria
Zhongyu Wei relative to Yanghua Xiao China Yanghua Xiao's profile →
Citations per field
00.5×4.2×
Yanghua Xiao · 1×
Citations per year

Countries citing papers authored by Zhongyu Wei

Since Specialization
Citations

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

Fields of papers citing papers by Zhongyu Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhongyu Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Zhongyu Wei. A scholar is included among the top collaborators of Zhongyu Wei 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 Zhongyu Wei. Zhongyu Wei 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
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2 0
3 1
4 0
5 0
6 1
7 1
8 1
9 2
10 0
11 0
12 1
13 7
14 9
15 1
16 5
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K-Adapter: Infusing Knowledge into Pre-Trained Models with Adaptersbreakdown →
218
18 61
19 142
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About Zhongyu Wei

Zhongyu Wei is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, having authored 124 papers that have together received 2.6k indexed citations. Recurring topics across this work include Topic Modeling (65 papers), Natural Language Processing Techniques (42 papers) and Multimodal Machine Learning Applications (24 papers). The work is most often cited by research in Artificial Intelligence (1.6k citations), Statistical and Nonlinear Physics (261 citations) and Computer Vision and Pattern Recognition (377 citations). Zhongyu Wei has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xuanjing Huang, Kam‐Fai Wong, Wei Gao, Jing Ma, Yueming Lu, Jiajie Peng, Jianye Hao, Xuequn Shang, Qi Zhang and Jinlan Fu. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and BMC Bioinformatics.

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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