Yi Ma

909 total citations
43 papers, 466 citations indexed

About

Yi Ma is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Global and Planetary Change. According to data from OpenAlex, Yi Ma has authored 43 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 15 papers in Computer Vision and Pattern Recognition and 5 papers in Global and Planetary Change. Recurrent topics in Yi Ma's work include Topic Modeling (8 papers), Speech and dialogue systems (6 papers) and Natural Language Processing Techniques (6 papers). Yi Ma is often cited by papers focused on Topic Modeling (8 papers), Speech and dialogue systems (6 papers) and Natural Language Processing Techniques (6 papers). Yi Ma collaborates with scholars based in China, United States and France. Yi Ma's co-authors include John L. Wright, Yongfu Li, John Wright, Antoine Raux, Eric Fosler‐Lussier, Zhiping Qiu, Xiaojun Wang, Chang‐Kui Duan, Shangda Xia and Xianfeng Zhao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physical review. B, Condensed matter and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Yi Ma

37 papers receiving 451 citations

Peers

Yi Ma
Hao Huan China
Maneesha Singh United Kingdom
Ronald L. Allen United States
Pavel Izmailov United States
Hao Huan China
Yi Ma
Citations per year, relative to Yi Ma Yi Ma (= 1×) peers Hao Huan

Countries citing papers authored by Yi Ma

Since Specialization
Citations

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

Fields of papers citing papers by Yi Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Yi Ma. A scholar is included among the top collaborators of Yi 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 Yi Ma. Yi 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
2.
Zhou, Hao, et al.. (2024). Transfer Learning-Based Hyperspectral Image Classification Using Residual Dense Connection Networks. Sensors. 24(9). 2664–2664. 5 indexed citations
3.
Zhou, Fangrong, et al.. (2024). Improving Flood Streamflow Estimation of Ungauged Small Reservoir Basins Using Remote Sensing and Hydrological Modeling. Remote Sensing. 16(23). 4399–4399. 3 indexed citations
4.
Wang, Yu, et al.. (2023). Relationship Between Lightning Activity and Terrain in High-Altitude Mountainous Areas. IEEE Transactions on Power Delivery. 38(5). 3561–3570. 3 indexed citations
6.
Zhou, Fangrong, Zezhong Zheng, Jun Xia, et al.. (2022). BA_EnCaps: Dense Capsule Architecture for Thermal Scrutiny. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–11. 7 indexed citations
7.
Zhou, Zhengyuan, et al.. (2021). Optimistic Dual Extrapolation for Coherent Non-monotone Variational Inequalities. arXiv (Cornell University). 33. 14303–14314. 2 indexed citations
8.
Ding, Qing, et al.. (2021). Pixel-wise Graph Attention Networks for Person Re-identification. 5231–5238. 9 indexed citations
9.
10.
Ma, Yi, Chunhui Yang, Jiayu Yang, et al.. (2021). Variable Rate ROI Image Compression Optimized for Visual Quality. 1936–1940. 13 indexed citations
11.
Ma, Yi, et al.. (2021). AFEC. 5436–5444. 6 indexed citations
12.
Tang, Hongyao, et al.. (2020). Large Scale Deep Reinforcement Learning in War-games. 1693–1699. 5 indexed citations
13.
Yu, Yaodong, et al.. (2020). Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction. Neural Information Processing Systems. 33. 9422–9434. 6 indexed citations
15.
Ma, Sai, et al.. (2017). A Priori knowledge based secure payload estimation. Multimedia Tools and Applications. 77(14). 17889–17911. 1 indexed citations
16.
Ma, Yi. (2013). User Goal Change Model for Spoken Dialog State Tracking. North American Chapter of the Association for Computational Linguistics. 91–97. 1 indexed citations
17.
Ma, Yi, et al.. (2012). Ranking-based readability assessment for early primary children’s literature. North American Chapter of the Association for Computational Linguistics. 548–552. 16 indexed citations
18.
Ma, Yi, et al.. (2012). Comparing human versus automatic feature extraction for fine-grained elementary readability assessment. North American Chapter of the Association for Computational Linguistics. 58–64. 2 indexed citations
19.
Ma, Yi, Antoine Raux, Deepak Ramachandran, & Rakesh Gupta. (2012). Landmark-Based Location Belief Tracking in a Spoken Dialog System. Annual Meeting of the Special Interest Group on Discourse and Dialogue. 169–178. 11 indexed citations
20.
Raux, Antoine & Yi Ma. (2011). Efficient probabilistic tracking of user goal and dialog history for spoken dialog systems. 801–804. 19 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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