Jiayuan Mao

2.4k total citations
25 papers, 197 citations indexed

About

Jiayuan Mao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Jiayuan Mao has authored 25 papers receiving a total of 197 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 4 papers in Control and Systems Engineering. Recurrent topics in Jiayuan Mao's work include Multimodal Machine Learning Applications (8 papers), Topic Modeling (6 papers) and Human Pose and Action Recognition (6 papers). Jiayuan Mao is often cited by papers focused on Multimodal Machine Learning Applications (8 papers), Topic Modeling (6 papers) and Human Pose and Action Recognition (6 papers). Jiayuan Mao collaborates with scholars based in China, United States and Germany. Jiayuan Mao's co-authors include Jiajun Wu, Joshua B. Tenenbaum, Chuang Gan, Pushmeet Kohli, Sumith Kulal, Alex Aiken, Tian Lin, Chong Wang, Wei‐Ying Ma and Denny Zhou and has published in prestigious journals such as Journal of Grid Computing, Frontiers in Neurorobotics and Journal of Marine Science and Engineering.

In The Last Decade

Jiayuan Mao

20 papers receiving 185 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiayuan Mao China 8 110 108 19 16 10 25 197
Mohammad Babaeizadeh United States 7 65 0.6× 56 0.5× 14 0.7× 16 1.0× 4 0.4× 10 128
Benjamin Eysenbach United States 4 86 0.8× 78 0.7× 20 1.1× 6 0.4× 5 0.5× 6 133
Jaehyung Kim South Korea 4 163 1.5× 82 0.8× 4 0.2× 8 0.5× 12 1.2× 12 212
Sharan Narang United States 7 192 1.7× 104 1.0× 6 0.3× 10 0.6× 21 2.1× 7 269
Ximeng Sun United States 7 55 0.5× 84 0.8× 5 0.3× 16 1.0× 11 1.1× 11 142
Kavosh Asadi United States 5 192 1.7× 38 0.4× 14 0.7× 19 1.2× 9 0.9× 8 215
Beichen Zhang China 8 178 1.6× 145 1.3× 8 0.4× 10 0.6× 13 1.3× 18 285
Olga Gerasimova Russia 8 70 0.6× 84 0.8× 6 0.3× 6 0.4× 14 1.4× 22 158
Ishan Durugkar United States 5 73 0.7× 29 0.3× 14 0.7× 6 0.4× 4 0.4× 9 117

Countries citing papers authored by Jiayuan Mao

Since Specialization
Citations

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

Fields of papers citing papers by Jiayuan Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiayuan Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Jiayuan Mao. A scholar is included among the top collaborators of Jiayuan Mao 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 Jiayuan Mao. Jiayuan Mao 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.
Liu, Shiliang, Wanting Wang, Yetong Li, et al.. (2025). Coupling relationships between water‑carbon ecosystem service flows under the integrated perspective of “Three Waters”: A case study in Guizhou province. Ecological Frontiers. 45(6). 1774–1783. 2 indexed citations
2.
Huang, B., et al.. (2025). KALM: Keypoint Abstraction Using Large Models for Object-Relative Imitation Learning. 8307–8314. 1 indexed citations
3.
Mao, Jiayuan, et al.. (2024). Set It Up!: Functional Object Arrangement with Compositional Generative Models. 1 indexed citations
4.
Wang, Mengqi, et al.. (2024). Smart City Transportation: A VANET Edge Computing Model to Minimize Latency and Delay Utilizing 5G Network. Journal of Grid Computing. 22(1). 16 indexed citations
5.
Zhao, Wei, Minghan Yang, & Jiayuan Mao. (2024). Research on Composite Material Strength Prediction based on Deep Learning. 1307–1310.
6.
Mao, Jiayuan, et al.. (2023). What’s Left? Concept Grounding with Logic-Enhanced Foundation Models. 38798–38814.
7.
Cao, Jian, Jiayuan Mao, Yueming Li, Le Wang, & Biao Cao. (2023). Trajectory-Following Control of an Unmanned Aerial–Aquatic Vehicle under Complex Coupling Interferences. Journal of Marine Science and Engineering. 12(1). 60–60.
8.
Mao, Jiayuan, et al.. (2023). NS3D: Neuro-Symbolic Grounding of 3D Objects and Relations. 2614–2623. 24 indexed citations
9.
Kulal, Sumith, Jiayuan Mao, Alex Aiken, & Jiajun Wu. (2021). Hierarchical Motion Understanding via Motion Programs. 6564–6572. 10 indexed citations
10.
Mao, Jiayuan, et al.. (2021). Language-Mediated, Object-Centric Representation Learning. 2033–2046. 3 indexed citations
11.
Mao, Jiayuan, et al.. (2020). Visual Concept-Metaconcept Learning. arXiv (Cornell University). 32. 5001–5012. 8 indexed citations
12.
Mao, Jiayuan, Yuan Yao, Stefan Heinrich, et al.. (2019). Bootstrapping Knowledge Graphs From Images and Text. Frontiers in Neurorobotics. 13. 93–93. 4 indexed citations
13.
Zhang, Xiuming, Jiayuan Mao, Yikai Li, et al.. (2019). Program-Guided Image Manipulators. 37. 4029–4038. 6 indexed citations
14.
Mao, Jiayuan, et al.. (2019). Neural Logic Machines. arXiv (Cornell University). 16 indexed citations
15.
Lu, Sidi, Jiayuan Mao, Joshua B. Tenenbaum, & Jiajun Wu. (2019). Neurally-Guided Structure Inference. arXiv (Cornell University). 4144–4153. 1 indexed citations
16.
Wu, Hao, Jiayuan Mao, Yufeng Zhang, et al.. (2019). Unified Visual-Semantic Embeddings: Bridging Vision and Language With Structured Meaning Representations. 6602–6611. 19 indexed citations
17.
Mao, Jiayuan, Chuang Gan, Pushmeet Kohli, Joshua B. Tenenbaum, & Jiajun Wu. (2019). The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision. arXiv (Cornell University). 67 indexed citations
18.
Mao, Jiayuan, et al.. (2018). Universal Agent for Disentangling Environments and Tasks. International Conference on Learning Representations. 2 indexed citations
19.
Mao, Jiayuan, et al.. (2018). Explicit Recall for Efficient Exploration. 1 indexed citations
20.
Shi, Haoyue, et al.. (2018). Learning Visually-Grounded Semantics from Contrastive Adversarial Samples. arXiv (Cornell University). 3715–3727. 9 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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