Tianxiang Sun

2.7k citations
36 papers · 1.6k indexed · 1 hit paper · h-index 13
Topics
Topic Modeling (16 papers)Natural Language Processing Techniques (13 papers)Sentiment Analysis and Opinion Mining (4 papers)
Partner nations
ChinaUnited States

In The Last Decade

Tianxiang Sun

33 papers receiving 1.5k citations

Hit Papers

Pre-trained models for natural language processing: A survey20202026202220242020250500750

Peers

Tianxiang Sun
Comparison fields: 5 of 143
  • Artificial Intelligence 1.1k
  • Computer Vision and Pattern Recognition 284
  • Information Systems 212
  • Electrical and Electronic Engineering 93
  • Signal Processing 78
Replace Yunfan Shao with:
Yunfan Shao China
Yige Xu China
Ning Dai China
Norisma Idris Malaysia
Yinfei Yang United States
Hai Zhao China
Kai Zou China
Mike Lewis United States
Yuexin Wu China
Wei Ye China
Tianxiang Sun relative to Yunfan Shao China Yunfan Shao's profile →
Citations per field
00.5×2.6×
Yunfan Shao · 1×
Citations per year

Countries citing papers authored by Tianxiang Sun

Since Specialization
Citations

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

Fields of papers citing papers by Tianxiang Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianxiang Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Tianxiang Sun. A scholar is included among the top collaborators of Tianxiang Sun 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 Tianxiang Sun. Tianxiang Sun 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 0
2 3
3 4
4 3
5 13
6 2
7 3
8 0
9 21
10 33
11 2
12 11
13 14
14 8
15 50
16 12
17 23
18 7
19 113
20 97

About Tianxiang Sun

Tianxiang Sun is a scholar working on Artificial Intelligence, Metals and Alloys and General Social Sciences, having authored 36 papers that have together received 1.6k indexed citations. Recurring topics across this work include Topic Modeling (16 papers), Natural Language Processing Techniques (13 papers) and Sentiment Analysis and Opinion Mining (4 papers). The work is most often cited by research in Artificial Intelligence (1.1k citations), Health Informatics (20 citations) and Computer Vision and Pattern Recognition (284 citations). Tianxiang Sun has collaborated with scholars based in China and United States. Frequent co-authors include Xipeng Qiu, Xuanjing Huang, Yunfan Shao, Yige Xu, Ning Dai, Hang Yan, Pengfei Liu, Junqi Dai, Qipeng Guo and Zheng Zhang. Their work appears in journals such as Journal of Materials Chemistry A, Optics Express and Energy storage materials.

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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