Xiaoya Li

3.5k citations
27 papers · 953 indexed · 1 hit paper · h-index 13
Topics
Topic Modeling (11 papers)Natural Language Processing Techniques (8 papers)Speech and Audio Processing (2 papers)

In The Last Decade

Xiaoya Li

25 papers receiving 914 citations

Hit Papers

Dice Loss for Data-imbalanced NLP Tasks20202026202220242020100200300

Peers

Xiaoya Li
Comparison fields: 5 of 119
  • Artificial Intelligence 529
  • Computer Vision and Pattern Recognition 205
  • Media Technology 77
  • Information Systems 71
  • Signal Processing 70
Replace En Fan with:
En Fan China
Qingchen Zhang China
Mei Yu China
Jiwen Dong China
Zixing Song Hong Kong
Jafar Tanha Iran
Hua Zuo Australia
Maria Presa Reyes United States
Jeff Heaton United States
Xiaoya Li relative to En Fan China En Fan's profile →
Citations per field
00.5×1.5×2.0×
En Fan · 1×
Citations per year

Countries citing papers authored by Xiaoya Li

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoya Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoya Li

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoya Li. A scholar is included among the top collaborators of Xiaoya Li 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 Xiaoya Li. Xiaoya Li 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 9
2 0
3 2
4 5
5 5
6 74
7 17
8 9
9 8
10 20
11 97
12 4
13
Dice Loss for Data-imbalanced NLP Tasksbreakdown →
390
14
Glyce: Glyph-vectors for Chinese Character Representations
35
15 33
16 55
17 1
18
The change of hygroscopicity and other properties of heating-treated straw
1
19 1
20 13

About Xiaoya Li

Xiaoya Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 27 papers that have together received 953 indexed citations. Recurring topics across this work include Topic Modeling (11 papers), Natural Language Processing Techniques (8 papers) and Speech and Audio Processing (2 papers). The work is most often cited by research in Artificial Intelligence (529 citations), Computer Vision and Pattern Recognition (205 citations) and Media Technology (77 citations). Xiaoya Li has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Xiaofei Sun, Jiwei Li, Fei Wu, Yuxian Meng, Tianwei Zhang, Xiang Ao, Guoyin Wang, Boyang Xia, Shangwei Guo and Juan Cao. Their work appears in journals such as Scientific Reports, International Journal of Biological Macromolecules and Applied Sciences.

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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