Yunpu Ma

1.3k total citations
36 papers, 605 citations indexed

About

Yunpu Ma is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yunpu Ma has authored 36 papers receiving a total of 605 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 6 papers in Molecular Biology and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yunpu Ma's work include Advanced Graph Neural Networks (17 papers), Topic Modeling (15 papers) and Data Quality and Management (6 papers). Yunpu Ma is often cited by papers focused on Advanced Graph Neural Networks (17 papers), Topic Modeling (15 papers) and Data Quality and Management (6 papers). Yunpu Ma collaborates with scholars based in Germany, Switzerland and China. Yunpu Ma's co-authors include Volker Tresp, Zhen Han, Peng Chen, Marcel Hildebrandt, Kun He, Haohai Sun, Mitchell Joblin, Yushan Liu, Matthias Schubert and Zhuang Liu and has published in prestigious journals such as Neural Computation, Knowledge-Based Systems and Knowledge and Information Systems.

In The Last Decade

Yunpu Ma

36 papers receiving 600 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yunpu Ma Germany 12 546 135 126 85 34 36 605
Saiping Guan China 12 478 0.9× 100 0.7× 123 1.0× 70 0.8× 35 1.0× 20 521
Woojeong Jin United States 10 488 0.9× 126 0.9× 76 0.6× 163 1.9× 34 1.0× 16 565
Qiaoyu Tan United States 12 359 0.7× 104 0.8× 43 0.3× 222 2.6× 35 1.0× 27 478
Xixun Lin China 10 291 0.5× 65 0.5× 60 0.5× 163 1.9× 17 0.5× 21 362
Sebastijan Dumančić Belgium 6 393 0.7× 97 0.7× 97 0.8× 53 0.6× 16 0.5× 12 428
Melisachew Wudage Chekol Germany 7 387 0.7× 71 0.5× 109 0.9× 53 0.6× 34 1.0× 18 416
Sheng Zhou China 10 273 0.5× 42 0.3× 42 0.3× 137 1.6× 33 1.0× 24 362
Hongliang Fei United States 15 313 0.6× 160 1.2× 17 0.1× 66 0.8× 41 1.2× 43 446
Davide Mottin Denmark 12 274 0.5× 147 1.1× 69 0.5× 94 1.1× 25 0.7× 42 400

Countries citing papers authored by Yunpu Ma

Since Specialization
Citations

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

Fields of papers citing papers by Yunpu Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunpu Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Yunpu Ma. A scholar is included among the top collaborators of Yunpu Ma 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 Yunpu Ma. Yunpu Ma 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
1.
2.
Ma, Yunpu, et al.. (2024). GenTKG: Generative Forecasting on Temporal Knowledge Graph with Large Language Models. 4303–4317. 9 indexed citations
3.
4.
Ma, Yunpu, et al.. (2024). zrLLM: Zero-Shot Relational Learning on Temporal Knowledge Graphs with Large Language Models. 1877–1895. 7 indexed citations
5.
Ma, Yunpu, et al.. (2023). Differentiable Quantum Architecture Search for Quantum Reinforcement Learning. 15–19. 15 indexed citations
6.
Liu, Zhuang, Yunpu Ma, Matthias Schubert, et al.. (2023). Multimodal Contrastive Transformer for Explainable Recommendation. IEEE Transactions on Computational Social Systems. 11(2). 2632–2643. 8 indexed citations
7.
Ma, Yunpu, et al.. (2022). VERIPS: Verified Pseudo-label Selection for Deep Active Learning. 951–956. 1 indexed citations
8.
Han, Zhen, et al.. (2022). TempCaps: A Capsule Network-based Embedding Model for Temporal Knowledge Graph Completion. Repository for Publications and Research Data (ETH Zurich). 22–31. 9 indexed citations
9.
Han, Zhen, S. Zenz, Yunpu Ma, & Volker Tresp. (2021). Time-dependent Entity Embedding is not All You Need: A Re-evaluation of Temporal Knowledge Graph Completion Models under a Unified Framework. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 8104–8118. 8 indexed citations
10.
Zhao, Meng, et al.. (2021). KM-BART: Knowledge Enhanced Multimodal BART for Visual Commonsense Generation. 525–535. 23 indexed citations
11.
Han, Zhen, Peng Chen, Yunpu Ma, & Volker Tresp. (2021). Explainable Subgraph Reasoning for Forecasting on Temporal Knowledge Graphs. International Conference on Learning Representations. 54 indexed citations
12.
Han, Zhen, et al.. (2021). Learning Neural Ordinary Equations for Forecasting Future Links on Temporal Knowledge Graphs. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 8352–8364. 64 indexed citations
13.
Sun, Haohai, et al.. (2021). TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph Forecasting. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 8306–8319. 90 indexed citations
14.
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Han, Zhen, Peng Chen, Yunpu Ma, & Volker Tresp. (2020). DyERNIE: Dynamic Evolution of Riemannian Manifold Embeddings for Temporal Knowledge Graph Completion. 7301–7316. 42 indexed citations
16.
Hildebrandt, Marcel, et al.. (2020). Reasoning on Knowledge Graphs with Debate Dynamics. Proceedings of the AAAI Conference on Artificial Intelligence. 34(4). 4123–4131. 23 indexed citations
17.
Xu, Feifei, et al.. (2020). Controllable Multi-Character Psychology-Oriented Story Generation. 1675–1684. 9 indexed citations
18.
Ma, Yunpu, et al.. (2019). Embedding Models for Episodic Knowledge Graphs. SSRN Electronic Journal. 16 indexed citations
19.
Ma, Yunpu, Marcel Hildebrandt, Volker Tresp, & Stephan Baier. (2018). Holistic Representations for Memorization and Inference. Uncertainty in Artificial Intelligence. 403–413. 8 indexed citations
20.
Ma, Yunpu, et al.. (2018). Embedding Models for Episodic Memory.. arXiv (Cornell University). 1 indexed citations

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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