Tianmeng Yang

658 total citations · 1 hit paper
5 papers, 362 citations indexed

About

Tianmeng Yang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Tianmeng Yang has authored 5 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Signal Processing. Recurrent topics in Tianmeng Yang's work include Advanced Graph Neural Networks (4 papers), Topic Modeling (3 papers) and Text and Document Classification Technologies (2 papers). Tianmeng Yang is often cited by papers focused on Advanced Graph Neural Networks (4 papers), Topic Modeling (3 papers) and Text and Document Classification Technologies (2 papers). Tianmeng Yang collaborates with scholars based in China and United Kingdom. Tianmeng Yang's co-authors include Zhihan Yue, Yunhai Tong, Congrui Huang, Bixiong Xu, Yujing Wang, Juanyong Duan, Yujing Wang, Yaming Yang, Jing Bai and Yihui Wu and has published in prestigious journals such as Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Tianmeng Yang

4 papers receiving 353 citations

Hit Papers

TS2Vec: Towards Universal Representation of Time Series 2022 2026 2023 2024 2022 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tianmeng Yang China 3 212 190 50 46 36 5 362
Zhihan Yue China 3 208 1.0× 190 1.0× 49 1.0× 46 1.0× 35 1.0× 4 360
Matthew Middlehurst United Kingdom 5 271 1.3× 312 1.6× 22 0.4× 34 0.7× 37 1.0× 9 447
Lifeng Shen China 10 372 1.8× 176 0.9× 115 2.3× 17 0.4× 37 1.0× 11 449
Vit Niennattrakul Thailand 10 223 1.1× 323 1.7× 20 0.4× 21 0.5× 71 2.0× 15 480
Muhammed O. Sayin Türkiye 11 99 0.5× 149 0.8× 78 1.6× 47 1.0× 24 0.7× 30 414
Mohammed Ali Saudi Arabia 10 102 0.5× 96 0.5× 47 0.9× 13 0.3× 89 2.5× 16 323
Kazuki Irie Germany 11 311 1.5× 144 0.8× 22 0.4× 11 0.2× 42 1.2× 28 398
Ziheng Duan United States 9 127 0.6× 72 0.4× 19 0.4× 20 0.4× 25 0.7× 23 285
Yifan Li China 10 216 1.0× 66 0.3× 37 0.7× 12 0.3× 48 1.3× 38 354

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
1.
Yang, Tianmeng, et al.. (2024). SEFraud: Graph-based Self-Explainable Fraud Detection via Interpretative Mask Learning. 5329–5338. 2 indexed citations
2.
Yang, Tianmeng, Min Zhou, Yaming Yang, et al.. (2024). You Can't Ignore Either: Unifying Structure and Feature Denoising for Robust Graph Learning. 4178–4182.
3.
Yang, Tianmeng, Min Zhou, Yujing Wang, et al.. (2023). Mitigating Semantic Confusion from Hostile Neighborhood for Graph Active Learning. 4380–4384. 2 indexed citations
4.
Yang, Tianmeng, Yujing Wang, Zhihan Yue, et al.. (2022). Graph Pointer Neural Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 36(8). 8832–8839. 22 indexed citations
5.
Yue, Zhihan, Yujing Wang, Juanyong Duan, et al.. (2022). TS2Vec: Towards Universal Representation of Time Series. Proceedings of the AAAI Conference on Artificial Intelligence. 36(8). 8980–8987. 336 indexed citations breakdown →

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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