Kun Yi

491 total citations
25 papers, 137 citations indexed

About

Kun Yi is a scholar working on Artificial Intelligence, Signal Processing and Management Science and Operations Research. According to data from OpenAlex, Kun Yi has authored 25 papers receiving a total of 137 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 9 papers in Signal Processing and 5 papers in Management Science and Operations Research. Recurrent topics in Kun Yi's work include Time Series Analysis and Forecasting (8 papers), Stock Market Forecasting Methods (3 papers) and Traffic Prediction and Management Techniques (3 papers). Kun Yi is often cited by papers focused on Time Series Analysis and Forecasting (8 papers), Stock Market Forecasting Methods (3 papers) and Traffic Prediction and Management Techniques (3 papers). Kun Yi collaborates with scholars based in China, Australia and United States. Kun Yi's co-authors include Qi Zhang, Hui He, Zhendong Niu, Longbing Cao, Lifeng Sun, Zhi Wang, Liang Hu, Duoqian Miao, Jiangchuan Liu and Ming Ma and has published in prestigious journals such as Environmental Health Perspectives, Information Sciences and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Kun Yi

20 papers receiving 129 citations

Peers

Kun Yi

AI

SP

CVPR

SPS

HTM

Vipin Kumar India

Luke Bornn Canada

Rahul Malik India

Marcos Oliveira Brazil

Jerónimo Hernández-González Spain

Lambodar Jena India

Sharun Akter Khushbu Bangladesh

Luca Greco Italy

Zoltan Geler Serbia

Vipin Kumar India

Kun Yi

43 ×1.0

AI

14 ×0.5

SP

12 ×0.5

CVPR

6 ×0.3

SPS

10 ×0.5

HTM

Citations per year, relative to Kun Yi Kun Yi (= 1×) peers Vipin Kumar

Countries citing papers authored by Kun Yi

Since Specialization

Citations

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

Fields of papers citing papers by Kun Yi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Yi

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Yi, Kun, Qi Zhang, Shoujin Wang, et al.. (2025). A Survey on Deep Learning based Time Series Analysis with Frequency Transformation. 6206–6215. 1 indexed citations

2.

Yi, Kun, et al.. (2025). Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification. 5054–5064.

3.

Zheng, Shun, Pengyang Wang, Rui Xie, et al.. (2025). IN-Flow: Instance Normalization Flow for Non-stationary Time Series Forecasting. 295–306.

4.

Shi, Xinyu, et al.. (2025). Self-attention based cloud top height retrieval for intelligent meteorological service recommendation. Information Sciences. 713. 122192–122192.

5.

Huang, Jimmy Xiangji, Kun Yi, Lin Jia, et al.. (2025). Development and validation of an insulin resistance prediction model in children and adolescents using machine learning algorithms. Translational Pediatrics. 14(3). 452–462.

6.

Yi, Kun, et al.. (2025). Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series Forecasting. Proceedings of the AAAI Conference on Artificial Intelligence. 39(11). 11645–11653. 2 indexed citations

7.

Fan, Wei, et al.. (2025). Wills Aligner: Multi-Subject Collaborative Brain Visual Decoding. Proceedings of the AAAI Conference on Artificial Intelligence. 39(13). 14194–14202. 1 indexed citations

8.

Lao, An, Qi Zhang, Chongyang Shi, et al.. (2024). Frequency Spectrum Is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector. Proceedings of the AAAI Conference on Artificial Intelligence. 38(16). 18426–18434. 17 indexed citations

9.

He, Hui, Qi Zhang, Kun Yi, et al.. (2024). Distributional Drift Adaptation With Temporal Conditional Variational Autoencoder for Multivariate Time Series Forecasting. IEEE Transactions on Neural Networks and Learning Systems. 36(4). 7287–7301. 7 indexed citations

10.

Ge, Yixiao, Kun Yi, Jianfeng Zhang, et al.. (2024). VIT-LENS: Towards Omni-modal Representations. 26637–26647. 2 indexed citations

11.

Yi, Kun, Qi Zhang, Hui He, et al.. (2024). Deep Coupling Network for Multivariate Time Series Forecasting. ACM Transactions on Information Systems. 42(5). 1–28. 4 indexed citations

12.

Yang, Shusheng, Yixiao Ge, Kun Yi, et al.. (2023). RILS: Masked Visual Reconstruction in Language Semantic Space. 23304–23314. 5 indexed citations

13.

Yi, Kun, et al.. (2021). A RLSN-based Current Statistical Model for Target Range Tracking. 2021 CIE International Conference on Radar (Radar). 7. 902–906. 2 indexed citations

14.

Yi, Kun, Yu Guo, Zhi Wang, Lifeng Sun, & Wenwu Zhu. (2020). Personalized Text Summarization Based on Gaze Patterns. 307–313. 1 indexed citations

15.

Yi, Kun, et al.. (2020). A dataset for exploring gaze behaviors in text summarization. 243–248. 6 indexed citations

16.

Pang, Haitian, et al.. (2018). Content Harvest Network: Optimizing First Mile for Crowdsourced Live Streaming. IEEE Transactions on Circuits and Systems for Video Technology. 29(7). 2112–2125. 10 indexed citations

17.

Ma, Ming, Zhi Wang, Kun Yi, Jiangchuan Liu, & Lifeng Sun. (2017). Joint Request Balancing and Content Aggregation in Crowdsourced CDN. 1178–1188. 9 indexed citations

18.

Wang, Zhi, et al.. (2017). MUSA: Wi-Fi AP-assisted video prefetching via Tensor Learning. 1–6. 4 indexed citations

19.

Burns, Carol J., J. Michael Wright, Jennifer Pierson, et al.. (2014). Evaluating Uncertainty to Strengthen Epidemiologic Data for Use in Human Health Risk Assessments. Environmental Health Perspectives. 122(11). 1160–1165. 30 indexed citations

20.

Wang, Xiaosong, et al.. (2007). Analysis and Performance of a Smart,High-Voltage SENSFET. 2 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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