Weiran Xu

2.1k total citations · 1 hit paper
75 papers, 1.0k citations indexed

About

Weiran Xu is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Weiran Xu has authored 75 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Artificial Intelligence, 9 papers in Information Systems and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Weiran Xu's work include Topic Modeling (50 papers), Natural Language Processing Techniques (39 papers) and Speech and dialogue systems (15 papers). Weiran Xu is often cited by papers focused on Topic Modeling (50 papers), Natural Language Processing Techniques (39 papers) and Speech and dialogue systems (15 papers). Weiran Xu collaborates with scholars based in China, United States and Singapore. Weiran Xu's co-authors include Yuanmeng Yan, Pengda Qin, Jun Guo, Rumei Li, Sirui Wang, Wei Wu, Fuzheng Zhang, William Yang Wang, Keqing He and Hong Xu and has published in prestigious journals such as IEEE Access, Neurocomputing and Knowledge-Based Systems.

In The Last Decade

Weiran Xu

67 papers receiving 998 citations

Hit Papers

ConSERT: A Contrastive Framework for Self-Supervised Sent... 2021 2026 2022 2024 2021 100 200 300

Peers

Weiran Xu
Comparison fields: 5 of 75
  • Artificial Intelligence 916
  • Computer Vision and Pattern Recognition 167
  • Information Systems 146
  • Computer Networks and Communications 50
  • Signal Processing 40
Replace Dianhai Yu with:
Dianhai Yu China
Yeyun Gong China
Jiajun Chen China
Maíra Gatti de Bayser Brazil
Daling Wang China
Yichun Yin China
Ximing Li China
Leonardo Neves United States
Daxiang Dong China
Tushar Khot United States
Dianhai Yu China View profile →
Citations per field, relative to Weiran Xu
Weiran Xu · 1×
Citations per year, relative to Weiran Xu
Weiran Xu · 1×

Countries citing papers authored by Weiran Xu

Since Specialization
Citations

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

Fields of papers citing papers by Weiran Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiran Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Weiran Xu. A scholar is included among the top collaborators of Weiran Xu 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 Weiran Xu. Weiran Xu 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 1
4 1
5 1
6 4
7 3
8 11
9 3
10
ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer breakdown →
303
11 18
12 13
13 2
14 140
15
PRIS at 2012 Microblog Track
4
16
PRIS at TREC2012 Contextual Suggestion Track
0
17
PRIS at TREC 2010: Related Entity Finding Task of Entity Track
3
18
PRIS at TAC 2009: Experiments in KBP Track
1
19
Independent semantic feature extraction algorithm based on short text
2
20 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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