Weixin Zeng

891 total citations
51 papers, 467 citations indexed

About

Weixin Zeng is a scholar working on Artificial Intelligence, Management Science and Operations Research and Information Systems. According to data from OpenAlex, Weixin Zeng has authored 51 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Artificial Intelligence, 21 papers in Management Science and Operations Research and 8 papers in Information Systems. Recurrent topics in Weixin Zeng's work include Topic Modeling (30 papers), Advanced Graph Neural Networks (30 papers) and Data Quality and Management (21 papers). Weixin Zeng is often cited by papers focused on Topic Modeling (30 papers), Advanced Graph Neural Networks (30 papers) and Data Quality and Management (21 papers). Weixin Zeng collaborates with scholars based in China, Australia and France. Weixin Zeng's co-authors include Xiang Zhao, Jiuyang Tang, Xuemin Lin, Zhen Tan, Fabian M. Suchanek, Wei Wang, Paul Groth, Li Liu, Ji Wang and Ming Cai and has published in prestigious journals such as IEEE Access, Information Sciences and Solid State Ionics.

In The Last Decade

Weixin Zeng

44 papers receiving 459 citations

Peers

Weixin Zeng
Comparison fields: 5 of 56
  • Artificial Intelligence 398
  • Management Science and Operations Research 203
  • Information Systems 58
  • Computer Vision and Pattern Recognition 45
  • Speech and Hearing 23
Replace Feiyu Xiong with:
Feiyu Xiong China
João Roberto Bertini Brazil
Jianheng Tang China
Aman Agarwal India
Zhaohui Peng China
Haoze Sun China
Ni Ding Australia
Tsu-Jui Fu United States
Wenhan Xiong United States
Yizhen Zheng Australia
Feiyu Xiong China View profile →
Citations per field, relative to Weixin Zeng
Weixin Zeng · 1×
Citations per year, relative to Weixin Zeng
Weixin Zeng · 1×

Countries citing papers authored by Weixin Zeng

Since Specialization
Citations

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

Fields of papers citing papers by Weixin Zeng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weixin Zeng

This figure shows the co-authorship network connecting the top 25 collaborators of Weixin Zeng. A scholar is included among the top collaborators of Weixin Zeng 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 Weixin Zeng. Weixin Zeng 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 1
3 0
4 2
5 1
6 1
7 3
8 0
9 1
10 0
11 3
12 0
13 1
14 9
15 1
16 3
17 8
18
CLEEK: A Chinese Long-text Corpus for Entity Linking.
1
19
Collective Embedding-based Entity Alignment via Adaptive Features.
3
20 13

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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