Yu Cheng

1.6k total citations
67 papers, 658 citations indexed

About

Yu Cheng is a scholar working on Artificial Intelligence, Management Science and Operations Research and Economics and Econometrics. According to data from OpenAlex, Yu Cheng has authored 67 papers receiving a total of 658 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 16 papers in Management Science and Operations Research and 9 papers in Economics and Econometrics. Recurrent topics in Yu Cheng's work include Auction Theory and Applications (12 papers), Game Theory and Voting Systems (7 papers) and Machine Learning and Algorithms (6 papers). Yu Cheng is often cited by papers focused on Auction Theory and Applications (12 papers), Game Theory and Voting Systems (7 papers) and Machine Learning and Algorithms (6 papers). Yu Cheng collaborates with scholars based in United States, China and United Kingdom. Yu Cheng's co-authors include Yan Liu, Yongshun Gong, Yuansheng Liu, Quan Zou, Bosheng Song, Shuangfei Zhai, Zhaonan Sun, Zhengping Che, Ankit Agrawal and Alok Choudhary and has published in prestigious journals such as SHILAP Revista de lepidopterología, Advanced Functional Materials and The Science of The Total Environment.

In The Last Decade

Yu Cheng

58 papers receiving 641 citations

Peers

Yu Cheng
Jakub M. Tomczak Netherlands
Luis Sánchez Fernández Spain
Mohamed Limam Tunisia
Tsendsuren Munkhdalai United States
Rui Ding China
Giuliano Armano Italy
Yankai Chen China
Armin Shmilovici Israel
Jakub M. Tomczak Netherlands
Yu Cheng
Citations per year, relative to Yu Cheng Yu Cheng (= 1×) peers Jakub M. Tomczak

Countries citing papers authored by Yu Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Yu Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Cheng. A scholar is included among the top collaborators of Yu Cheng 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 Yu Cheng. Yu Cheng 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.
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Ge, Xiaodong, et al.. (2025). Field Investigation of Leaf‐Level NO and NO 2 Exchange Between Atmosphere and Mature Pinus massoniana in a Subtropical Forest. Journal of Geophysical Research Atmospheres. 130(4).
3.
Sun, Liyuan, Qingshan Zhu, Yu Cheng, et al.. (2025). A Flexible Neuromorphic Window Capable of In‐Sensor Computing and Self‐Adaptive Color Regulation. Advanced Functional Materials. 36(10).
4.
Zhang, Heng, et al.. (2025). SMFusion: Semantic-Preserving Fusion of Multimodal Medical Images for Enhanced Clinical Diagnosis. IEEE Journal of Biomedical and Health Informatics. PP. 1–14.
5.
Zhang, Qi, et al.. (2024). Electrochemical chlorine evolution reaction to improve the desalination of sea sand. The Science of The Total Environment. 945. 174063–174063. 5 indexed citations
6.
Wei, Wei, et al.. (2024). Reinforcement Learning with Token-level Feedback for Controllable Text Generation. 1704–1719. 1 indexed citations
7.
Cheng, Yu. (2023). Research on the Impact of The Development of Digital Financial Inclusion on Multidimensional Poverty. Frontiers in Business Economics and Management. 7(3). 42–45. 2 indexed citations
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Cheng, Yu, et al.. (2021). Sparsification of Directed Graphs via Cut Balance. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 21.
11.
Cheng, Yu, Ilias Diakonikolas, Rong Ge, & Mahdi Soltanolkotabi. (2020). High-dimensional Robust Mean Estimation via Gradient Descent. International Conference on Machine Learning. 1. 1768–1778. 3 indexed citations
12.
Cheng, Yu, et al.. (2019). Distinguishing Distributions When Samples Are Strategically Transformed. Neural Information Processing Systems. 32. 3187–3195. 4 indexed citations
13.
Cheng, Yu, Ilias Diakonikolas, Rong Ge, & David P. Woodruff. (2019). Faster Algorithms for High-Dimensional Robust Covariance Estimation. Conference on Learning Theory. 727–757. 3 indexed citations
14.
Cheng, Yu & Rong Ge. (2018). Non-Convex Matrix Completion Against a Semi-Random Adversary. Conference on Learning Theory. 1362–1394. 1 indexed citations
15.
Cheng, Yu, Ilias Diakonikolas, Daniel M. Kane, & Alistair Stewart. (2018). Robust Learning of Fixed-Structure Bayesian Networks. eScholarship (California Digital Library). 31. 10283–10295. 7 indexed citations
16.
Chen, Xi, et al.. (2016). On the Recursive Teaching Dimension of VC Classes. Neural Information Processing Systems. 29. 2164–2171. 2 indexed citations
17.
Cheng, Yu, et al.. (2015). Efficient Sampling for Gaussian Graphical Models via Spectral Sparsification. Conference on Learning Theory. 364–390. 6 indexed citations
18.
Cheng, Yu. (2015). Correlation of Menopause Symptoms with Anxiety and Depression.
19.
Cheng, Yu. (2013). Does Forward-looking Information Reduce Information Asymmetry?. Cai-jing yanjiu. 2 indexed citations
20.
Cheng, Yu. (2002). The application study of the direct linear transform in deformation observation. 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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