Weiguang Qu

414 total citations
36 papers, 227 citations indexed

About

Weiguang Qu is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Weiguang Qu has authored 36 papers receiving a total of 227 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 6 papers in Information Systems and 4 papers in Signal Processing. Recurrent topics in Weiguang Qu's work include Natural Language Processing Techniques (24 papers), Topic Modeling (23 papers) and Advanced Text Analysis Techniques (11 papers). Weiguang Qu is often cited by papers focused on Natural Language Processing Techniques (24 papers), Topic Modeling (23 papers) and Advanced Text Analysis Techniques (11 papers). Weiguang Qu collaborates with scholars based in China, United Kingdom and Australia. Weiguang Qu's co-authors include Junsheng Zhou, Xinyu Dai, Ran Wang, Yanhui Gu, Nianwen Xue, Bin Li, Xiaohe Chen, Hans Uszkoreit, Wei Wang and Wenjie Li and has published in prestigious journals such as Neural Computing and Applications, Information Processing & Management and Multimedia Tools and Applications.

In The Last Decade

Weiguang Qu

29 papers receiving 213 citations

Peers

Weiguang Qu
Comparison fields: 5 of 41
  • Artificial Intelligence 209
  • Information Systems 43
  • Computer Vision and Pattern Recognition 21
  • Management Science and Operations Research 10
  • Molecular Biology 9
Replace Diganta Saha with:
Diganta Saha India
Alok Ranjan Pal India
Stephan Gouws South Africa
Pavel Straňák Czechia
Eyal Shnarch Israel
Corina Forăscu Romania
Ryohei Sasano Japan
Bonaventura Coppola Italy
Shehzaad Dhuliawala United States
Roberto Zanoli Italy
Diganta Saha India View profile →
Citations per field, relative to Weiguang Qu
Weiguang Qu · 1×
Citations per year, relative to Weiguang Qu
Weiguang Qu · 1×

Countries citing papers authored by Weiguang Qu

Since Specialization
Citations

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

Fields of papers citing papers by Weiguang Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiguang Qu

This figure shows the co-authorship network connecting the top 25 collaborators of Weiguang Qu. A scholar is included among the top collaborators of Weiguang Qu 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 Weiguang Qu. Weiguang Qu 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 0
3 2
4 1
5 10
6 0
7
Construct a Sense-Frame Aligned Predicate Lexicon for Chinese AMR Corpus
2
8 4
9 4
10 0
11 10
12 7
13 25
14
Efficient latent structural perceptron with hybrid trees for semantic parsing
2
15
Exploiting Chunk-level Features to Improve Phrase Chunking
7
16 4
17 1
18
Computation of Chinese Simile with "Xiang"
7
19
A New Graph Clustering Algorithm for Chinese Noun Phrase Coreference Resolution
1
20
Pruning and Clustering Discovered Association Rules
1

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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