Xiaohan Chen

401 total citations
9 papers, 105 citations indexed

About

Xiaohan Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Numerical Analysis. According to data from OpenAlex, Xiaohan Chen has authored 9 papers receiving a total of 105 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Numerical Analysis. Recurrent topics in Xiaohan Chen's work include Privacy-Preserving Technologies in Data (3 papers), Stochastic Gradient Optimization Techniques (3 papers) and Advanced Neural Network Applications (3 papers). Xiaohan Chen is often cited by papers focused on Privacy-Preserving Technologies in Data (3 papers), Stochastic Gradient Optimization Techniques (3 papers) and Advanced Neural Network Applications (3 papers). Xiaohan Chen collaborates with scholars based in United States, China and Macao. Xiaohan Chen's co-authors include Zhangyang Wang, Haris Vikalo, Yang Zhao, Haoran You, Chaojian Li, Yingyan Lin, Yuan Xie, Yonggan Fu, Yue Wang and Tianlong Chen and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems, Rare & Special e-Zone (The Hong Kong University of Science and Technology) and arXiv (Cornell University).

In The Last Decade

Xiaohan Chen

7 papers receiving 105 citations

Peers

Xiaohan Chen

AI

CVPR

EEE

IS

CNC

Guangxuan Xiao United States

Jorge Nakahara Belgium

Chinnadhurai Sankar United States

Aleksei Udovenko Luxembourg

Soroush Abbasi Koohpayegani United States

Łukasz Dudziak United Kingdom

Shivlal Mewada India

Shang‐Yu Su Taiwan

Joseph Hassoun United States

Shikhar Singh United States

Guangxuan Xiao United States

Xiaohan Chen

56 ×0.7

AI

42 ×1.6

CVPR

9 ×0.3

EEE

7 ×1.0

IS

22 ×3.7

CNC

Citations per year, relative to Xiaohan Chen Xiaohan Chen (= 1×) peers Guangxuan Xiao

Countries citing papers authored by Xiaohan Chen

Since Specialization

Citations

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

Fields of papers citing papers by Xiaohan Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaohan Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaohan Chen. A scholar is included among the top collaborators of Xiaohan Chen 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 Xiaohan Chen. Xiaohan Chen 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.

Chen, Xiaohan, et al.. (2023). Many-Task Federated Learning: A New Problem Setting and A Simple Baseline. 5037–5045. 9 indexed citations

2.

Zhang, Zhiwei, et al.. (2022). Dance as a Creative Gateway to STEAM Education Practice——Take the Chinese Classical Dunhuang Dance as an Example. Advances in Education Humanities and Social Science Research. 2(1). 509–509.

3.

Vikalo, Haris, et al.. (2022). Federated Dynamic Sparse Training: Computing Less, Communicating Less, Yet Learning Better. Proceedings of the AAAI Conference on Artificial Intelligence. 36(6). 6080–6088. 54 indexed citations

4.

Chen, Xiaohan, Yang Zhao, Yue Wang, et al.. (2022). SmartDeal: Remodeling Deep Network Weights for Efficient Inference and Training. IEEE Transactions on Neural Networks and Learning Systems. 34(10). 7099–7113. 1 indexed citations

5.

Chen, Xiaohan, et al.. (2022). Model elasticity for hardware heterogeneity in federated learning systems. 19–24. 1 indexed citations

6.

Shen, Jiayi, Xiaohan Chen, Tianlong Chen, et al.. (2021). Learning A Minimax Optimizer: A Pilot Study. 3 indexed citations

7.

Zhang, Lida, Xiaohan Chen, Tianlong Chen, Zhangyang Wang, & Bobak J. Mortazavi. (2021). DynEHR: Dynamic adaptation of models with data heterogeneity in electronic health records. 1–4. 7 indexed citations

8.

Zhao, Yang, Xiaohan Chen, Yue Wang, et al.. (2020). SmartExchange: Trading Higher-cost Memory Storage/Access for Lower-cost Computation. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 954–967. 30 indexed citations

9.

Wang, Yue, Ziyu Jiang, Xiaohan Chen, et al.. (2019). E2-Train: Training State-of-the-art CNNs with Over 80% Less Energy. arXiv (Cornell University).

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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