Yunming Ye

580 total citations
9 papers, 150 citations indexed

About

Yunming Ye is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Yunming Ye has authored 9 papers receiving a total of 150 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Information Systems. Recurrent topics in Yunming Ye's work include Recommender Systems and Techniques (3 papers), Smart Grid Energy Management (2 papers) and Face and Expression Recognition (2 papers). Yunming Ye is often cited by papers focused on Recommender Systems and Techniques (3 papers), Smart Grid Energy Management (2 papers) and Face and Expression Recognition (2 papers). Yunming Ye collaborates with scholars based in China. Yunming Ye's co-authors include Xutao Li, Xiuqiang He, Ruiming Tang, Huifeng Guo, Feng Liu, Bowen Zhang, Yuan Yao, Weinan Zhang, Haokun Chen and Yuzhou Zhang and has published in prestigious journals such as Pattern Recognition, Neurocomputing and Knowledge-Based Systems.

In The Last Decade

Yunming Ye

8 papers receiving 144 citations

Peers

Yunming Ye

AI

IS

MSOR

CVPR

CNC

Wanyu Wang China

Xuwu Wang China

Rasmita Rautray India

Frédérique Laforest France

Amal El Fallah-Seghrouchni

Xiaoou Ding China

Shantanu Sharma United States

Lixin Su United States

Duo Zhang China

Wanyu Wang China

Yunming Ye

105 ×1.1

AI

159 ×2.6

IS

37 ×0.7

MSOR

64 ×1.9

CVPR

8 ×0.5

CNC

Citations per year, relative to Yunming Ye Yunming Ye (= 1×) peers Wanyu Wang

Countries citing papers authored by Yunming Ye

Since Specialization

Citations

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

Fields of papers citing papers by Yunming Ye

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunming Ye

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

All Works

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9 of 9 papers shown

1.

Liu, Feng, Ruiming Tang, Xutao Li, et al.. (2020). State representation modeling for deep reinforcement learning based recommendation. Knowledge-Based Systems. 205. 106170–106170. 50 indexed citations

2.

Yao, Yuan, Bowen Zhang, Xutao Li, & Yunming Ye. (2020). Discriminative distribution alignment: A unified framework for heterogeneous domain adaptation. Pattern Recognition. 101. 107165–107165. 36 indexed citations

3.

Liu, Feng, Huifeng Guo, Xutao Li, et al.. (2020). End-to-End Deep Reinforcement Learning based Recommendation with Supervised Embedding. 384–392. 30 indexed citations

4.

Fu, Yan, Xutao Li, & Yunming Ye. (2019). A multi-task learning model with adversarial data augmentation for classification of fine-grained images. Neurocomputing. 377. 122–129. 16 indexed citations

5.

Guo, Huifeng, et al.. (2016). BLM-Rank: A Bayesian Linear Method for Learning to Rank and Its GPU Implementation. IEICE Transactions on Information and Systems. E99.D(4). 896–905. 3 indexed citations

6.

Zhang, Shucheng, et al.. (2015). GPUMF: A GPU-Enpowered Collaborative Filtering Algorithm through Matrix Factorization. 7. 88–92. 2 indexed citations

7.

Wu, Qingyao, et al.. (2014). A Generative Model with Network Regularization for Semi-Supervised Collective Classification. 64–72. 5 indexed citations

8.

Li, Xutao, et al.. (2011). Information-theoretic Agglomerative K-means. Information Technology Journal. 10(12). 2420–2426. 1 indexed citations

9.

Wang, Eric Ke & Yunming Ye. (2010). An Efficient and Secure Key Establishment Scheme for Wireless Sensor Network. 6. 511–516. 7 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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