陈

陈勇 (Yong Chen)

Shaanxi Normal University邮箱:yongchen@usc.edu

H指数:76

被引数:2.6万

个人简介

"陈勇，博士，男，中共党员，浙江丽水人。2025年毕业于浙江大学道路及交通工程专业并获工学博士学位，现为浙江财经大学文华百人计划研究员，校聘副教授。主要研究方向为城市计算、出行行为复杂性、时空数据挖掘等，长期聚焦大数据驱动的城市出行模式分析与预测，深入研究时空数据挖掘理论、交通流宏观规律、居民出行决策等关键问题。在Cell子刊Patterns、Cell合作子刊The Innovation、Nature合作子刊npj Sustainable Mobility and Transport、IEEE Transactions on Intelligent Transportation Systems、IEEE Transactions on Computational Social Systems、Transportation Research Part A/C/D/E、Information Sciences、Knowledge-Based Systems、Frontiers of Engineering Management、Applied Energy等期刊累计发表论文40余篇，谷歌学术总引用1300余次，h指数19，研究成果遴选为Patterns期刊封面以及Patterns作者专访等。主持浙江省自然科学基金项目1项，作为核心骨干成员参与多项国家自然科学基金和浙江省重点研发计划项目，授权国家发明专利8项。获浙江大学优秀博士毕业生、浙江省优秀硕士论文、浙江大学优秀博士论文、浙江大学竺可桢奖学金(每年全校仅12位研究生获此荣誉)、浙江财经大学卓越之星（每年全校仅2名研究生获此荣誉，1/1800+）等荣誉。目前担任The Innovation Informatics 学术编辑、《浙江大学学报（工学版）》期刊青年编委、浙江省人工智能学会智能交通分会青年委员、2025年计算交通科学国际研讨会（CTS）竞赛委员会委员，以及担任Cell子刊Cell Reports Sustainability、Cell合作子刊The Innovation、IEEE Transactions on Intelligent Transportation Systems、Transportation Research Part C/D/E、Neural Networks等期刊审稿人。一、科研论文注：*表示通讯作者，#表示共同第一作者，IF为最新影响因子 [1] Chen Y., Xu H.G., Chen X.M.*, & Gao Z.Y.* A multi-scale unified model of human mobility in urban agglomerations. Patterns, 4(11), 100862, 2023. (Cell子刊, IF = 10.8) [2] Chen Y., Liao C.L., Cai Z.E., Wang W.R., Xia Y.J., & Chen X.M.* , Wu J.J., & Gao Z.Y.* Promoting sustainable human mobility for mitigating income segregation. Patterns, 7(2), 101477, 2026. (Cell子刊, IF = 10.8) [3] Chen Y.,Chen X.M.*, & Gao Z.Y.* Toward equity, transparency, and collaboration human mobility computing for smart cities. The Innovation, 5(5), 100672, 2024. (Cell合作子刊, IF = 39.5) [4] Chen Y.,Xie N.K., Xu H.G., Chen X.M.* & Lee D.H. A multi-context aware human mobility prediction model based on motif-preserving travel preference learning. IEEE Transactions on Intelligent Transportation Systems, 25(2), 2139-2152, 2024. (SCI, 智能交通顶刊, JCR-Q1, CCF-B, IF = 9.1) [5] Chen Y., & Chen X.M.* A novel reinforced dynamic graph convolutional network model with data imputation for network-wide traffic flow prediction. Transportation Research Part C: Emerging Technologies, 143, 103820, 2022. (SCI, 交通运输顶刊, JCR-Q1, IF = 8.4, 入选ITS智能交通协会会刊) [6] Chen Y.#, Chi B.#, Li C.J., Zhang Y.L., Liao C.L., Chen X.M.*, & Xie N.* Towards interactive next location prediction driven by large language models. IEEE Transactions on Computational Social Systems, DOI: 10.1109/TCSS.2024.3522965, 2025. (SCI, JCR-Q1, IF = 4.6, CCF-C) [7] Chen Y., Chen X.M.*, & Gao Z.Y.* Meet the authors: Yong Chen, Xiqun (Michael) Chen, and Ziyou Gao, Patterns, 4(11), 100877, 2023. (Cell子刊, 特邀专题访谈，IF = 10.8) [8] Chen Y., Li C.J., Wang W.R., Zhang Y.L., Chen X.M.*, & Gao Z.Y.* Sustainable mobility and transport: Landscape, trends, challenges, and opportunities. npj Sustainable Mobility and Transport, 2, 8, 2025. (Nature合作子刊) [9] Chen Y., Zhang H.Y., Li C.J., Chi B., Wu J.J.*, & Chen X.M.* Large language model empowered smart city mobility. Frontiers of Engineering Management, 12, 201-207, 2025. (FMS-B, 中科院一区, IF = 9.8) [10] Chen Y., Wang W.R., & Chen X.M.* Bibliometric methods in traffic flow prediction based on artificial intelligence. Expert Systems with Applications, 228, 120421, 2023. (SCI, JCR-Q1, IF = 9.4) [11] Liu J.M.#, Li J.Y.#, Chen Y.#, ... & Chen X.M.* Multi-scale urban passenger transportation CO2 emission calculation platform for smart mobility management. Applied Energy, 331, 120407, 2023. (SCI, 能源管理顶刊, JCR-Q1, IF = 12.2) [12] Chen Y., Geng M.S., Zeng J.Q., Yang D., Zhang L., & Chen X.M.* A novel ensemble model with conditional intervening opportunities for ride-hailing travel mobility estimation. Physica A: Statistical Mechanics and its Applications, 628, 129167, 2023. (SCI, JCR-Q2, IF = 3.3) [13] Chen Y., Zhang S.*, Zhang W.Y., Peng J.J., & Cai Y.S. Multifactor spatio-temporal correlation model based on a combination of convolutional neural network and long short-term memory neural network for wind speed forecasting. Energy Conversion and Management, 185, 783-799, 2019. (SCI, 能源管理顶刊, JCR-Q1, IF = 11.8) [14] Xiao J.H., Cai Y.S., & Chen Y.* Study on deep reinforcement learning for multi-task scheduling in cloud manufacturing. International Journal of Computer Integrated Manufacturing, 38(12), 1663-1680, 2025. (SCI, JCR-Q2, FMS-B, IF = 4.3) [15] Zhang S., Chen Y., Zhang W.Y.*, & Feng R.J. A novel ensemble deep learning model with dynamic error correction and multi-objective ensemble pruning for time series forecasting. Information Sciences, 544, 427-445, 2021. (SCI, JCR-Q1, IF = 6.0) [16] Zhang S., Chen Y., & Zhang W.Y.* Spatiotemporal fuzzy-graph convolutional network model with dynamic feature encoding for traffic forecasting. Knowledge-Based Systems, 231, 107403, 2021. (SCI, JCR-Q1, IF = 8.0) [17] Zhang S., Chen Y., Xiao J.H., Zhang W.Y.*, & Feng R.J. Hybrid wind speed forecasting model based on multivariate data secondary decomposition approach and deep learning algorithm with attention mechanism. Renewable Energy, 174, 688-704, 2021. (SCI, JCR-Q1, IF = 9.1) [18] Zhang S., Chen Y., Huang X.L.*, & Cai Y.S. Text classification of public feedbacks using convolutional neural network based on differential evolution algorithm. International Journal of Computers Communications & Control, 14(1), 124-134, 2019. (SCI, JCR-Q3, IF = 1.8) [19] Xia Y.J., Geng M.S, Chen Y., ... & Chen X.M.* Understanding common human driving semantics for autonomous vehicles. Patterns, 4, 100730, 2023. (Cell子刊, 封面论文, IF = 10.8) [20] Xu S.Y., Li C.J., Chen Y., Chen X.M.* & Lee D.H. Short-term area trip attraction prediction based on real-time human mobility data. IEEE Transactions on Intelligent Transportation Systems, in press. (SCI, JCR-Q1, CCF-B, IF = 9.1) [21] Li C.J., Chen Y., Xu H.G., & Chen X.M.* & Lee D.H. Multi-view hypergraph-based ride-sourcing origin-destination demand prediction. IEEE Transactions on Intelligent Transportation Systems, in press. (SCI, 智能交通顶刊, JCR-Q1, CCF-B, IF = 9.1) [22] Xie N.K., Chen Y., Tang W., & Chen X.M.*. Multi-agent reinforcement learning"