Tianmeng Yang

658 citations
5 papers · 362 indexed · 1 hit paper · h-index 3
Topics
Advanced Graph Neural Networks (4 papers)Topic Modeling (3 papers)Text and Document Classification Technologies (2 papers)
Journals
Proceedings of the AAAI Conference on Artificial Intelligence
Partner nations
ChinaUnited Kingdom

In The Last Decade

Tianmeng Yang

4 papers receiving 353 citations

Hit Papers

TS2Vec: Towards Universal Representation of Time Series20222026202320242022100200300

Peers

Tianmeng Yang
Comparison fields: 5 of 72
  • Artificial Intelligence 212
  • Signal Processing 190
  • Electrical and Electronic Engineering 50
  • Management Science and Operations Research 46
  • Computer Vision and Pattern Recognition 36
Replace Zhihan Yue with:
Zhihan Yue China
Muhammed O. Sayin Türkiye
Lifeng Shen China
Matthew Middlehurst United Kingdom
Vit Niennattrakul Thailand
Ziheng Duan United States
Yifan Li China
Mohammad Shokoohi-Yekta United States
Mohammed Ali Saudi Arabia
Gözde Ulutagay Türkiye
Tianmeng Yang relative to Zhihan Yue China Zhihan Yue's profile →
Citations per field
00.5×1.5×
Zhihan Yue · 1×
Citations per year

Countries citing papers authored by Tianmeng Yang

Since Specialization
Citations

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

Fields of papers citing papers by Tianmeng Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianmeng Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Tianmeng Yang. A scholar is included among the top collaborators of Tianmeng Yang 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 Tianmeng Yang. Tianmeng Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
#WorkIndexed citations
1 2
2 0
3 2
4 22
5
TS2Vec: Towards Universal Representation of Time Seriesbreakdown →
336

About Tianmeng Yang

Tianmeng Yang is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition, having authored 5 papers that have together received 362 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (4 papers), Topic Modeling (3 papers) and Text and Document Classification Technologies (2 papers). The work is most often cited by research in Signal Processing (190 citations), Artificial Intelligence (212 citations) and Management Science and Operations Research (46 citations). Tianmeng Yang has collaborated with scholars based in China and United Kingdom. Frequent co-authors include Zhihan Yue, Yunhai Tong, Congrui Huang, Bixiong Xu, Yujing Wang, Juanyong Duan, Yujing Wang, Yaming Yang, Jing Bai and Yihui Wu. Their work appears in journals such as Proceedings of the AAAI Conference on Artificial Intelligence.

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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