Zheyi Pan

979 total citations · 1 hit paper
12 papers, 690 citations indexed

About

Zheyi Pan is a scholar working on Transportation, Building and Construction and Signal Processing. According to data from OpenAlex, Zheyi Pan has authored 12 papers receiving a total of 690 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Transportation, 8 papers in Building and Construction and 4 papers in Signal Processing. Recurrent topics in Zheyi Pan's work include Traffic Prediction and Management Techniques (8 papers), Human Mobility and Location-Based Analysis (7 papers) and Transportation Planning and Optimization (4 papers). Zheyi Pan is often cited by papers focused on Traffic Prediction and Management Techniques (8 papers), Human Mobility and Location-Based Analysis (7 papers) and Transportation Planning and Optimization (4 papers). Zheyi Pan collaborates with scholars based in China, Singapore and United States. Zheyi Pan's co-authors include Junbo Zhang, Yu Zheng, Yong Yu, Yuxuan Liang, Weifeng Wang, Weinan Zhang, Wentao Zhang, Songyu Ke, Nicholas D. Lane and Zhao Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Artificial Intelligence and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Zheyi Pan

11 papers receiving 674 citations

Hit Papers

Urban Traffic Prediction from Spatio-Temporal Data Using ... 2019 2026 2021 2023 2019 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning
    2019 401 citations Zheyi Pan, Yuxuan Liang et al. profile →

Peers

Zheyi Pan
Quanjun Chen Japan
Siyu Lu China
Yitian Jia China
Zezhi Shao China
Huan Yan China
Shiliang Sun China
Funing Sun China
Bei Pan United States
Haitao Yuan China
Zhanfeng Jia United States
Quanjun Chen Japan
Zheyi Pan
Citations per year, relative to Zheyi Pan Zheyi Pan (= 1×) peers Quanjun Chen

Countries citing papers authored by Zheyi Pan

Since Specialization
Citations

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

Fields of papers citing papers by Zheyi Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zheyi Pan

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

All Works

12 of 12 papers shown
1.
Wang, Lulu, et al.. (2024). An Efficient System for Large-Scale Collaborative Tasks in Government. SHILAP Revista de lepidopterología. 4(3). 406–416.
2.
Ke, Songyu, Zheyi Pan, Tianfu He, et al.. (2023). AutoSTG+: An automatic framework to discover the optimal network for spatio-temporal graph prediction. Artificial Intelligence. 318. 103899–103899. 12 indexed citations
3.
Wang, Zhaoyuan, Shenggong Ji, Zheyi Pan, et al.. (2023). Housing rental suggestion based on e-commerce data. Knowledge-Based Systems. 268. 110474–110474. 1 indexed citations
4.
Liang, Yuxuan, Kun Ouyang, Yiwei Wang, et al.. (2022). Mixed-Order Relation-Aware Recurrent Neural Networks for Spatio-Temporal Forecasting. IEEE Transactions on Knowledge and Data Engineering. 35(9). 9254–9268. 21 indexed citations
5.
Wang, Zhaoyuan, Zheyi Pan, Shun Chen, et al.. (2022). Shortening passengers' travel time: A dynamic metro train scheduling approach using deep reinforcement learning. IEEE Transactions on Knowledge and Data Engineering. 1–1. 3 indexed citations
6.
Pan, Zheyi, Songyu Ke, Yuxuan Liang, et al.. (2021). AutoSTG: Neural Architecture Search for Predictions of Spatio-Temporal Graph✱. 1846–1855. 56 indexed citations
7.
Pan, Zheyi, Wentao Zhang, Yuxuan Liang, et al.. (2020). Spatio-Temporal Meta Learning for Urban Traffic Prediction. IEEE Transactions on Knowledge and Data Engineering. 34(3). 1462–1476. 107 indexed citations
8.
Pan, Zheyi, et al.. (2019). TrajGuard A Comprehensive Trajectory Copyright Protection Scheme. 3060–3070. 1 indexed citations
9.
Pan, Zheyi, Yuxuan Liang, Weifeng Wang, et al.. (2019). Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning. 1720–1730. 401 indexed citations breakdown →
10.
Pan, Zheyi, Jie Bao, Weinan Zhang, Yong Yu, & Yu Zheng. (2019). TrajGuard. 3060–3070. 3 indexed citations
11.
Pan, Zheyi, Zhaoyuan Wang, Weifeng Wang, et al.. (2019). Matrix Factorization for Spatio-Temporal Neural Networks with Applications to Urban Flow Prediction. 2683–2691. 32 indexed citations
12.
Liang, Chieh-Jan Mike, Börje F. Karlsson, Nicholas D. Lane, et al.. (2015). SIFT. 298–309. 53 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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