Guangyin Jin

2.0k citations
32 papers · 1.1k indexed · 3 hit papers · h-index 16
Topics
Traffic Prediction and Management Techniques (22 papers)Transportation Planning and Optimization (15 papers)Traffic control and management (7 papers)

In The Last Decade

Guangyin Jin

27 papers receiving 1.1k citations

Hit Papers

Dynamic Graph Convolutional Recurrent Network for Traffic...2022202620232024202220232024100200300

Peers

Guangyin Jin
Comparison fields: 5 of 75
  • Building and Construction 777
  • Transportation 544
  • Control and Systems Engineering 276
  • Signal Processing 224
  • Artificial Intelligence 213
Replace Chuanpan Zheng with:
Chuanpan Zheng China
Renhe Jiang Japan
Xiucheng Li China
Ibai Laña Spain
Vadim Sokolov United States
Xianxuan Lin China
Kristian Henrickson United States
Jiayun Luo Singapore
Siyu Lu China
Guangyin Jin relative to Chuanpan Zheng China Chuanpan Zheng's profile →
Citations per field
00.5×
Chuanpan Zheng · 1×
Citations per year

Countries citing papers authored by Guangyin Jin

Since Specialization
Citations

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

Fields of papers citing papers by Guangyin Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangyin Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Guangyin Jin. A scholar is included among the top collaborators of Guangyin Jin 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 Guangyin Jin. Guangyin Jin 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
#WorkIndexed citations
1 0
2 1
3 0
4 0
5 7
6
Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysisbreakdown →
61
7 3
8 34
9 20
10 16
11
Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Surveybreakdown →
199
12 11
13 67
14 29
15 41
16 18
17 17
18 12
19 9
20 4

About Guangyin Jin

Guangyin Jin is a scholar working on Transportation, Building and Construction and Safety, Risk, Reliability and Quality, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include Traffic Prediction and Management Techniques (22 papers), Transportation Planning and Optimization (15 papers) and Traffic control and management (7 papers). The work is most often cited by research in Transportation (544 citations), Building and Construction (777 citations) and Signal Processing (224 citations). Guangyin Jin has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Jincai Huang, Fuxian Li, Huan Yan, Yong Li, Depeng Jin, Jincai Huang, Fan Yang, Funing Sun, Jie Feng and Zezhi Shao. Their work appears in journals such as SHILAP Revista de lepidopterología, Information Sciences and IEEE Transactions on Intelligent Transportation Systems.

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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