Mingxuan Wang

1.5k citations
35 papers · 816 indexed · 1 hit paper · h-index 11
Topics
Topic Modeling (15 papers)Natural Language Processing Techniques (13 papers)Speech Recognition and Synthesis (5 papers)

In The Last Decade

Mingxuan Wang

29 papers receiving 781 citations

Hit Papers

On the Sentence Embeddings from Pre-trained Language Models20202026202220242020100200300

Peers

Mingxuan Wang
Comparison fields: 5 of 98
  • Artificial Intelligence 643
  • Computer Vision and Pattern Recognition 148
  • Information Systems 50
  • Molecular Biology 43
  • Signal Processing 39
Replace Huan Rong with:
Huan Rong China
Brojo Kishore Mishra India
Marius Popescu Romania
Bingquan Liu China
Salman Mahmood Oman
Malin Nilsson Sweden
Masayu Leylia Khodra Indonesia
Ji-Won Baek South Korea
Ekin Ekıncı Türkiye
Wilson Pires Gavião Neto Brazil
Mingxuan Wang relative to Huan Rong China Huan Rong's profile →
Citations per field
00.5×3.8×
Huan Rong · 1×
Citations per year

Countries citing papers authored by Mingxuan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Mingxuan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingxuan Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Mingxuan Wang. A scholar is included among the top collaborators of Mingxuan Wang 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 Mingxuan Wang. Mingxuan Wang 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
1 4
2 2
3 0
4 0
5 0
6 1
7 1
8 4
9 2
10 2
11 0
12 13
13 2
14 4
15 41
16 5
17 62
18 1
19
On the Sentence Embeddings from Pre-trained Language Modelsbreakdown →
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About Mingxuan Wang

Mingxuan Wang is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering and General Social Sciences, having authored 35 papers that have together received 816 indexed citations. Recurring topics across this work include Topic Modeling (15 papers), Natural Language Processing Techniques (13 papers) and Speech Recognition and Synthesis (5 papers). The work is most often cited by research in Artificial Intelligence (643 citations), Computer Vision and Pattern Recognition (148 citations) and Industrial and Manufacturing Engineering (36 citations). Mingxuan Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Lei Li, Hao Zhou, Bohan Li, Junxian He, Yiming Yang, Yidong Chen, Xiaodong Shi, Jun Xie, Zhixing Tan and Rong Ye. Their work appears in journals such as Scientific Reports, Journal of Organizational Behavior and Chemical Engineering Science.

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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