Zhuxi Jiang

1.8k total citations · 1 hit paper
7 papers, 796 citations indexed

About

Zhuxi Jiang is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Zhuxi Jiang has authored 7 papers receiving a total of 796 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Automotive Engineering, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Artificial Intelligence. Recurrent topics in Zhuxi Jiang's work include Traffic Prediction and Management Techniques (2 papers), Electric Vehicles and Infrastructure (2 papers) and Tensor decomposition and applications (1 paper). Zhuxi Jiang is often cited by papers focused on Traffic Prediction and Management Techniques (2 papers), Electric Vehicles and Infrastructure (2 papers) and Tensor decomposition and applications (1 paper). Zhuxi Jiang collaborates with scholars based in China, United States and Canada. Zhuxi Jiang's co-authors include Yuankai Wu, Huachun Tan, Lingqiao Qin, Bin Ran, Hailong Zhang, Huachun Tan, Jiankun Peng, Yin Zheng, Hanning Zhou and Bangsheng Tang and has published in prestigious journals such as Energy Conversion and Management, Neurocomputing and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Zhuxi Jiang

7 papers receiving 778 citations

Hit Papers

A hybrid deep learning based traffic flow prediction meth... 2018 2026 2020 2023 2018 100 200 300 400 500

Peers

Zhuxi Jiang
Comparison fields: 5 of 75
  • Building and Construction 524
  • Transportation 387
  • Control and Systems Engineering 324
  • Automotive Engineering 176
  • Electrical and Electronic Engineering 158
Replace Muhammad Tayyab Asif with:
Muhammad Tayyab Asif Singapore
Toru Seo Japan
Yilong Ren China
Pinlong Cai China
Gaetano Valenti Italy
Angshuman Guin United States
Yitian Jia China
Chen Cai Australia
Xiang Song China
Muhammad Tayyab Asif Singapore View profile →
Citations per field, relative to Zhuxi Jiang
Zhuxi Jiang · 1×
Citations per year, relative to Zhuxi Jiang
Zhuxi Jiang · 1×

Countries citing papers authored by Zhuxi Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Zhuxi Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhuxi Jiang

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

All Works

7 of 7 papers shown
# Work Indexed citations
1 6
2 18
3 7
4 149
5 3
6
A hybrid deep learning based traffic flow prediction method and its understanding breakdown →
595
7
Variational Deep Embedding: A Generative Approach to Clustering.
18

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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