Yuchen Fang

1.2k total citations · 1 hit paper
28 papers, 672 citations indexed

About

Yuchen Fang is a scholar working on Building and Construction, Transportation and Signal Processing. According to data from OpenAlex, Yuchen Fang has authored 28 papers receiving a total of 672 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Building and Construction, 13 papers in Transportation and 8 papers in Signal Processing. Recurrent topics in Yuchen Fang's work include Traffic Prediction and Management Techniques (15 papers), Human Mobility and Location-Based Analysis (8 papers) and Transportation Planning and Optimization (7 papers). Yuchen Fang is often cited by papers focused on Traffic Prediction and Management Techniques (15 papers), Human Mobility and Location-Based Analysis (8 papers) and Transportation Planning and Optimization (7 papers). Yuchen Fang collaborates with scholars based in China, United States and Australia. Yuchen Fang's co-authors include Haiyong Luo, Fang Zhao, Chenxing Wang, Yanjun Qin, Yuxuan Liang, Zezhi Shao, Junbo Zhang, Jincai Huang, Yu Zheng and Guangyin Jin and has published in prestigious journals such as Applied Energy, Information Sciences and IEEE Transactions on Vehicular Technology.

In The Last Decade

Yuchen Fang

25 papers receiving 655 citations

Hit Papers

Spatio-Temporal Graph Neural Networks for Predictive Lear... 2023 2026 2024 2025 2023 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuchen Fang China 11 294 180 147 105 104 28 672
Jiawei Jiang China 11 225 0.8× 132 0.7× 97 0.7× 67 0.6× 24 0.2× 56 588
Zhaonan Wang China 13 291 1.0× 212 1.2× 111 0.8× 108 1.0× 9 0.1× 33 635
David Soler Spain 19 192 0.7× 158 0.9× 20 0.1× 84 0.8× 26 0.3× 53 923
Zhizhe Lin China 11 221 0.8× 129 0.7× 53 0.4× 83 0.8× 71 0.7× 39 503
Binfeng Wang China 10 169 0.6× 132 0.7× 45 0.3× 76 0.7× 9 0.1× 31 395
Peng Qiao China 14 99 0.3× 35 0.2× 26 0.2× 152 1.4× 61 0.6× 62 824
Zewei Zhou China 16 169 0.6× 33 0.2× 29 0.2× 93 0.9× 69 0.7× 45 1.2k
Liang Tang China 17 85 0.3× 120 0.7× 22 0.1× 25 0.2× 167 1.6× 106 910
Wenchao Ding China 15 102 0.3× 33 0.2× 18 0.1× 62 0.6× 70 0.7× 49 913
M. Hugh Solomon United States 14 262 0.9× 127 0.7× 17 0.1× 75 0.7× 36 0.3× 27 1.6k

Countries citing papers authored by Yuchen Fang

Since Specialization
Citations

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

Fields of papers citing papers by Yuchen Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuchen Fang

This figure shows the co-authorship network connecting the top 25 collaborators of Yuchen Fang. A scholar is included among the top collaborators of Yuchen Fang 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 Yuchen Fang. Yuchen Fang 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.
Wang, Chenxing, Fang Zhao, Haiyong Luo, Poly Z. H. Sun, & Yuchen Fang. (2025). Cross-Transportation-Mode Knowledge Transfer for Trajectory Recovery With Meta Learning. IEEE Transactions on Intelligent Transportation Systems. 26(6). 8945–8960. 1 indexed citations
2.
3.
Jiang, Haiyang, Jun Luo, Yan Guo, et al.. (2024). Modeling seasonal thermal storage dynamics in the year-round scheduling of renewable energy systems. Applied Energy. 379. 124828–124828. 2 indexed citations
4.
Tao, Xiaoming, et al.. (2024). DMGSTCN: Dynamic Multigraph Spatio–Temporal Convolution Network for Traffic Forecasting. IEEE Internet of Things Journal. 11(12). 22208–22219. 9 indexed citations
5.
Fang, Yuchen, et al.. (2024). Temporal-Frequency Masked Autoencoders for Time Series Anomaly Detection. VBN Forskningsportal (Aalborg Universitet). 1228–1241. 10 indexed citations
6.
Fang, Yuchen, et al.. (2024). CDGNet: A Cross-Time Dynamic Graph-Based Deep Learning Model for Vehicle-Based Traffic Speed Forecasting. IEEE Transactions on Intelligent Vehicles. 10(1). 683–696. 1 indexed citations
7.
Wang, Chenxing, et al.. (2024). Towards Effective Transportation Mode-Aware Trajectory Recovery: Heterogeneity, Personalization and Efficiency. IEEE Transactions on Mobile Computing. 24(4). 2832–2846. 2 indexed citations
9.
Fang, Yuchen, Kan Ren, Yifei Shen, et al.. (2023). Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling. Proceedings of the AAAI Conference on Artificial Intelligence. 37(6). 7530–7538. 8 indexed citations
10.
Qin, Yanjun, Haiyong Luo, Fang Zhao, et al.. (2023). Spatio-temporal hierarchical MLP network for traffic forecasting. Information Sciences. 632. 543–554. 32 indexed citations
11.
Fang, Yuchen, et al.. (2023). STWave+: A Multi-Scale Efficient Spectral Graph Attention Network With Long-Term Trends for Disentangled Traffic Flow Forecasting. IEEE Transactions on Knowledge and Data Engineering. 36(6). 2671–2685. 27 indexed citations
12.
Fang, Yuchen, Fang Zhao, Yanjun Qin, Haiyong Luo, & Chenxing Wang. (2022). Learning All Dynamics: Traffic Forecasting via Locality-Aware Spatio-Temporal Joint Transformer. IEEE Transactions on Intelligent Transportation Systems. 23(12). 23433–23446. 53 indexed citations
13.
Qin, Yanjun, Fang Zhao, Yuchen Fang, Haiyong Luo, & Chenxing Wang. (2022). Memory attention enhanced graph convolution long short‐term memory network for traffic forecasting. International Journal of Intelligent Systems. 37(9). 6555–6576. 10 indexed citations
14.
Wang, Chenxing, Fang Zhao, Haichao Zhang, et al.. (2022). Fine-Grained Trajectory-Based Travel Time Estimation for Multi-City Scenarios Based on Deep Meta-Learning. IEEE Transactions on Intelligent Transportation Systems. 23(9). 15716–15728. 19 indexed citations
15.
Qin, Yanjun, et al.. (2022). Next Point-of-Interest Recommendation with Auto-Correlation Enhanced Multi-Modal Transformer Network. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. 2612–2616. 19 indexed citations
16.
Fang, Yuchen, et al.. (2022). Educational level and colorectal cancer risk: the mediating roles of lifestyle and dietary factors.. PubMed. 31(2). 137–144. 11 indexed citations
17.
Xiao, Jinyu, Han Jiang, Ershun Du, et al.. (2022). Cross-regional electricity and hydrogen deployment research based on coordinated optimization: Towards carbon neutrality in China. Energy Reports. 8. 13900–13913. 10 indexed citations
18.
Wan, Wei, et al.. (2018). Recognizing global reservoirs from Landsat 8 imageries: A Deep Learning Approach. AGU Fall Meeting Abstracts. 2018. 1 indexed citations
19.
Qu, Bo, et al.. (2015). Study on Parameters Estimation of the XAJ Model Based on Underlying surface characteristics. 2015 AGU Fall Meeting. 2015. 1 indexed citations
20.
Fang, Yuchen, et al.. (2009). Elevated expressions of MMP7, TROP2, and survivin are associated with survival, disease recurrence, and liver metastasis of colon cancer. International Journal of Colorectal Disease. 24(8). 875–884. 162 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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