Jiexia Ye

442 total citations
11 papers, 284 citations indexed

About

Jiexia Ye is a scholar working on Building and Construction, Transportation and Artificial Intelligence. According to data from OpenAlex, Jiexia Ye has authored 11 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Building and Construction, 6 papers in Transportation and 3 papers in Artificial Intelligence. Recurrent topics in Jiexia Ye's work include Traffic Prediction and Management Techniques (8 papers), Human Mobility and Location-Based Analysis (6 papers) and Transportation Planning and Optimization (5 papers). Jiexia Ye is often cited by papers focused on Traffic Prediction and Management Techniques (8 papers), Human Mobility and Location-Based Analysis (6 papers) and Transportation Planning and Optimization (5 papers). Jiexia Ye collaborates with scholars based in China and Macao. Jiexia Ye's co-authors include Chengzhong Xu, Juanjuan Zhao, Kejiang Ye, Xitong Gao, Fan Zhang, Minxian Xu, Yuhang Zhang, Jun Zhang, Yangqing Zhang and Ming Chen and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, Neural Computing and Applications and IEEE Transactions on Big Data.

In The Last Decade

Jiexia Ye

11 papers receiving 274 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiexia Ye China 6 230 195 69 40 35 11 284
Shen Fang China 8 261 1.1× 207 1.1× 127 1.8× 53 1.3× 46 1.3× 10 337
Hanhan Deng China 3 206 0.9× 136 0.7× 81 1.2× 40 1.0× 65 1.9× 6 267
Jiajie Zhen China 5 221 1.0× 183 0.9× 77 1.1× 25 0.6× 26 0.7× 8 273
Linfeng Du China 4 155 0.7× 129 0.7× 63 0.9× 25 0.6× 106 3.0× 5 305
Dingyi Zhuang United States 9 139 0.6× 107 0.5× 30 0.4× 35 0.9× 56 1.6× 16 243
Xueyan Yin China 5 346 1.5× 236 1.2× 173 2.5× 62 1.6× 47 1.3× 7 415
Jiwon Kim Australia 9 114 0.5× 189 1.0× 38 0.6× 35 0.9× 32 0.9× 16 306
Ziqian Lin China 4 194 0.8× 158 0.8× 59 0.9× 47 1.2× 76 2.2× 9 285
Yanhua Li China 5 72 0.3× 147 0.8× 68 1.0× 45 1.1× 22 0.6× 14 280
Srinivasa Ravi Chandra United States 3 352 1.5× 277 1.4× 187 2.7× 48 1.2× 25 0.7× 5 386

Countries citing papers authored by Jiexia Ye

Since Specialization
Citations

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

Fields of papers citing papers by Jiexia Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiexia Ye

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

All Works

11 of 11 papers shown
1.
Ye, Jiexia, et al.. (2024). A Heterogeneous Graph Convolution Based Method for Short-Term OD Flow Completion and Prediction in a Metro System. IEEE Transactions on Intelligent Transportation Systems. 25(11). 15614–15627. 3 indexed citations
2.
Zhao, Juanjuan, et al.. (2022). Metro OD Matrix Prediction Based on Multi-View Passenger Flow Evolution Trend Modeling. IEEE Transactions on Big Data. 9(3). 991–1003. 13 indexed citations
3.
Zhao, Juanjuan, Kejiang Ye, Jiexia Ye, et al.. (2022). GLTC: A Metro Passenger Identification Method Across AFC Data and Sparse WiFi Data. IEEE Transactions on Intelligent Transportation Systems. 23(10). 18337–18351. 10 indexed citations
4.
Ye, Jiexia, et al.. (2022). Completion and augmentation-based spatiotemporal deep learning approach for short-term metro origin-destination matrix prediction under limited observable data. Neural Computing and Applications. 35(4). 3325–3341. 13 indexed citations
5.
Zhang, Yuhang, Jiexia Ye, Xitong Gao, et al.. (2021). AOAM: Automatic Optimization of Adjacency Matrix for Graph Convolutional Network. 5130–5136. 3 indexed citations
6.
Zhao, Juanjuan, et al.. (2021). MDLF: A Multi-View-Based Deep Learning Framework for Individual Trip Destination Prediction in Public Transportation Systems. IEEE Transactions on Intelligent Transportation Systems. 23(8). 13316–13329. 9 indexed citations
7.
Ye, Jiexia, et al.. (2020). Multi-View Graph Convolutional Networks for Relationship-Driven Stock Prediction.. arXiv (Cornell University). 2 indexed citations
8.
Ye, Jiexia, Juanjuan Zhao, Kejiang Ye, & Chengzhong Xu. (2020). How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey. IEEE Transactions on Intelligent Transportation Systems. 23(5). 3904–3924. 192 indexed citations
9.
Zhao, Juanjuan, Jiexia Ye, Minxian Xu, & Chengzhong Xu. (2020). Practical model with strong interpretability and predictability: An explanatory model for individuals' destination prediction considering personal and crowd travel behavior. Concurrency and Computation Practice and Experience. 35(18). 3 indexed citations
10.
Ye, Jiexia, Juanjuan Zhao, Kejiang Ye, & Chengzhong Xu. (2020). Multi-STGCnet: A Graph Convolution Based Spatial-Temporal Framework for Subway Passenger Flow Forecasting. 1–8. 32 indexed citations
11.
Chen, Ming, Jiexia Ye, Yuhang Zhang, et al.. (2019). Semi-Supervised Anti-Fraud Models for Cash Pre-Loan in Internet Consumer Finance. 635–640. 4 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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