Shengnan Guo

5.8k citations
25 papers · 3.8k indexed · 4 hit papers · h-index 11
Topics
Traffic Prediction and Management Techniques (16 papers)Human Mobility and Location-Based Analysis (9 papers)Data Management and Algorithms (6 papers)
Partner nations
ChinaDenmarkSingapore

In The Last Decade

Shengnan Guo

24 papers receiving 3.7k citations

Hit Papers

Attention Based Spatial-Temporal Graph Convolutional Netw...2019202620212023201920202021201950010001.5k

Peers

Shengnan Guo
Comparison fields: 5 of 96
  • Building and Construction 2.9k
  • Transportation 2.0k
  • Control and Systems Engineering 1.2k
  • Signal Processing 866
  • Artificial Intelligence 679
Replace Huaiyu Wan with:
Huaiyu Wan China
Yanjie Duan China
Zonghan Wu Australia
Dekang Qi China
Bowen Du China
Chao Song China
Wenwen Kang China
Huaxiu Yao United States
Zhengxi Li China
Shengnan Guo relative to Huaiyu Wan China Huaiyu Wan's profile →
Citations per field
00.5×1.5×
Huaiyu Wan · 1×
Citations per year

Countries citing papers authored by Shengnan Guo

Since Specialization
Citations

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

Fields of papers citing papers by Shengnan Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengnan Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Shengnan Guo. A scholar is included among the top collaborators of Shengnan Guo 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 Shengnan Guo. Shengnan Guo 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 1
2 1
3 1
4 3
5 0
6 3
7 1
8 2
9 10
10 5
11 8
12 3
13 4
14 11
15 11
16
Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecastingbreakdown →
434
17 69
18 61
19 24
20 81

About Shengnan Guo

Shengnan Guo is a scholar working on Transportation, Building and Construction and Signal Processing, having authored 25 papers that have together received 3.8k indexed citations. Recurring topics across this work include Traffic Prediction and Management Techniques (16 papers), Human Mobility and Location-Based Analysis (9 papers) and Data Management and Algorithms (6 papers). The work is most often cited by research in Transportation (2.0k citations), Building and Construction (2.9k citations) and Signal Processing (866 citations). Shengnan Guo has collaborated with scholars based in China, Denmark and Singapore. Frequent co-authors include Huaiyu Wan, Youfang Lin, Chao Song, Ning Feng, Gao Cong, Xiucheng Li, Zhaoming Chen, Shijie Li, Yan Lin and Beibei Wang. Their work appears in journals such as Expert Systems with Applications, IEEE Transactions on Intelligent Transportation Systems and Mechanical Systems and Signal Processing.

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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