Zhengyang Zhou

886 total citations
47 papers, 526 citations indexed

About

Zhengyang Zhou is a scholar working on Building and Construction, Transportation and Artificial Intelligence. According to data from OpenAlex, Zhengyang Zhou has authored 47 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Building and Construction, 19 papers in Transportation and 10 papers in Artificial Intelligence. Recurrent topics in Zhengyang Zhou's work include Traffic Prediction and Management Techniques (22 papers), Human Mobility and Location-Based Analysis (13 papers) and Transportation Planning and Optimization (9 papers). Zhengyang Zhou is often cited by papers focused on Traffic Prediction and Management Techniques (22 papers), Human Mobility and Location-Based Analysis (13 papers) and Transportation Planning and Optimization (9 papers). Zhengyang Zhou collaborates with scholars based in China, United States and Taiwan. Zhengyang Zhou's co-authors include Xike Xie, Yang Wang, Xu Wang, Hengchang Liu, Pengkun Wang, Yang Wang, Yuxuan Liang, Kun Wang, Wenjie Du and Wen‐Wei Li and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Cell stem cell and IEEE Transactions on Vehicular Technology.

In The Last Decade

Zhengyang Zhou

40 papers receiving 514 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Zhengyang Zhou China	13	237	154	136	130	65	47	526
Zhuoning Yuan United States	6	177 0.7×	110 0.7×	135 1.0×	47 0.4×	66 1.0×	16	471
Junchen Ye China	10	289 1.2×	190 1.2×	130 1.0×	123 0.9×	31 0.5×	30	553
Haitao Yuan China	10	243 1.0×	195 1.3×	198 1.5×	197 1.5×	19 0.3×	19	579
Hao Miao China	11	224 0.9×	132 0.9×	105 0.8×	81 0.6×	22 0.3×	24	367
Linjiang Zheng China	13	234 1.0×	290 1.9×	84 0.6×	64 0.5×	47 0.7×	57	674
Zheyi Pan China	7	499 2.1×	366 2.4×	124 0.9×	183 1.4×	17 0.3×	12	690
Lyuchao Liao China	12	167 0.7×	124 0.8×	95 0.7×	34 0.3×	37 0.6×	58	539
Usue Mori Spain	12	168 0.7×	166 1.1×	367 2.7×	337 2.6×	21 0.3×	24	805
Shiliang Sun China	7	582 2.5×	458 3.0×	112 0.8×	111 0.9×	48 0.7×	11	824

Countries citing papers authored by Zhengyang Zhou

Since Specialization

Citations

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

Fields of papers citing papers by Zhengyang Zhou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhengyang Zhou

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

All Works

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20 of 20 papers shown

Zhou, Zhengyang, Yifei Wang, Ya‐Wen Chuang, et al.. (2025). Performance and improvement strategies for adapting generative large language models for electronic health record applications: A systematic review. International Journal of Medical Informatics. 205. 106091–106091. 3 indexed citations

Zhou, Zhengyang, et al.. (2025). AI-assisted literature screening: A hybrid approach using large language models and retrieval-augmented generation. International Journal of Medical Informatics. 207. 106205–106205.

Li, Wenxian, et al.. (2025). An explainable radiomics-based machine learning model for preoperative differentiation of parathyroid carcinoma and atypical tumors on ultrasound: a retrospective diagnostic study. Frontiers in Endocrinology. 16. 1617032–1617032. 1 indexed citations

Huang, Qihe, et al.. (2024). HDMixer: Hierarchical Dependency with Extendable Patch for Multivariate Time Series Forecasting. Proceedings of the AAAI Conference on Artificial Intelligence. 38(11). 12608–12616. 20 indexed citations

Zhou, Zhengyang, et al.. (2024). CreST: A Credible Spatiotemporal Learning Framework for Uncertainty-aware Traffic Forecasting. 985–993. 7 indexed citations

Zhou, Zhengyang, et al.. (2024). Assessing fairness in machine learning models: A study of racial bias using matched counterparts in mortality prediction for patients with chronic diseases. Journal of Biomedical Informatics. 156. 104677–104677. 4 indexed citations

Zhu, Jialiang, Jun Cao, Zhengyang Zhou, et al.. (2024). Generation of human expandable limb-bud-like progenitors via chemically induced dedifferentiation. Cell stem cell. 31(12). 1732–1740.e6. 4 indexed citations

Wang, Pengkun, Xu Wang, Zhe Zhao, et al.. (2024). Adaptive and Interactive Multi-Level Spatio-Temporal Network for Traffic Forecasting. IEEE Transactions on Intelligent Transportation Systems. 25(10). 14070–14086. 8 indexed citations

Zhao, Zhe, et al.. (2024). A Twist for Graph Classification: Optimizing Causal Information Flow in Graph Neural Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 38(15). 17042–17050. 5 indexed citations

10.

Wu, Hao, et al.. (2024). Earthfarsser: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model. Proceedings of the AAAI Conference on Artificial Intelligence. 38(14). 15906–15914. 14 indexed citations

11.

Wang, Bin‐Wu, et al.. (2024). Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective. Proceedings of the AAAI Conference on Artificial Intelligence. 38(8). 9089–9097. 11 indexed citations

12.

Zhou, Zhengyang, Qihe Huang, Kun Wang, et al.. (2023). Maintaining the Status Quo: Capturing Invariant Relations for OOD Spatiotemporal Learning. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 3603–3614. 16 indexed citations

13.

Wang, Kun, Yuxuan Liang, Xinglin Li, et al.. (2023). Brave the Wind and the Waves: Discovering Robust and Generalizable Graph Lottery Tickets. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(5). 3388–3405. 11 indexed citations

14.

Wang, Xu, et al.. (2023). Pattern Expansion and Consolidation on Evolving Graphs for Continual Traffic Prediction. 2223–2232. 24 indexed citations

15.

Zhou, Zhengyang, et al.. (2023). Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment. 37068–37088.

16.

Wang, Kun, Zhengyang Zhou, Xu Wang, et al.. (2022). A2DJP: A Two Graph-Based Component Fused Learning Framework for Urban Anomaly Distribution and Duration Joint-Prediction. IEEE Transactions on Knowledge and Data Engineering. 35(12). 11984–11998. 8 indexed citations

17.

Wang, Yang, et al.. (2020). Large-Scale Intelligent Taxicab Scheduling: A Distributed and Future-Aware Approach. IEEE Transactions on Vehicular Technology. 69(8). 8176–8191. 10 indexed citations

18.

Wang, Kun, et al.. (2020). Estimation of Urban Travel Time with Sparse Traffic Surveillance Data. 218–223. 4 indexed citations

19.

Zhou, Zhengyang. (2019). Attention Based Stack ResNet for Citywide Traffic Accident Prediction. 369–370. 11 indexed citations

20.

Zhou, Zhengyang, et al.. (2019). Stack ResNet For Short-term Accident Risk Prediction Leveraging Cross-domain Data. 70. 782–787. 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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