Dunjiang Song

482 citations
13 papers · 310 indexed · h-index 7
Topics
3D Modeling in Geospatial Applications (3 papers)Simulation and Modeling Applications (3 papers)Remote Sensing and LiDAR Applications (3 papers)

In The Last Decade

Dunjiang Song

13 papers receiving 301 citations

Peers

Dunjiang Song
Comparison fields: 5 of 55
  • Environmental Engineering 123
  • Global and Planetary Change 107
  • Atmospheric Science 91
  • Ecology 84
  • Water Science and Technology 57
Replace Serge Riazanoff with:
Serge Riazanoff France
Liao Yang China
Shobhit Chandra Australia
Pierre Leymarie France
G. R. Aggett United States
Claudia Young United States
Zhou Chenghu China
Emre Özelkan Türkiye
Jingjing Lv China
Greg Easson United States
Dunjiang Song relative to Serge Riazanoff France Serge Riazanoff's profile →
Citations per field
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Citations per year

Countries citing papers authored by Dunjiang Song

Since Specialization
Citations

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

Fields of papers citing papers by Dunjiang Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dunjiang Song

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 6
2 56
3 19
4 12
5 23
6
A new method of DEM generation from contour line
1
7 5
8 2
9 50
10
High Accuracy Surface Modelling:HASM4
4
11 15
12
High Accuracy Surface Modeling and Spatial Real-time Simulation
2
13 115

About Dunjiang Song

Dunjiang Song is a scholar working on Computer Graphics and Computer-Aided Design, Geochemistry and Petrology and Environmental Engineering, having authored 13 papers that have together received 310 indexed citations. Recurring topics across this work include 3D Modeling in Geospatial Applications (3 papers), Simulation and Modeling Applications (3 papers) and Remote Sensing and LiDAR Applications (3 papers). The work is most often cited by research in Environmental Engineering (123 citations), Computer Graphics and Computer-Aided Design (18 citations) and Atmospheric Science (91 citations). Dunjiang Song has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Guirui Yu, Zhengping Du, Wei Wang, Zhuangzhuang Wang, Bingwen Qiu, Zhenghong Tang, Hongyu Huang, Nan Chen, Weiming Xu and Chongcheng Chen. Their work appears in journals such as International Journal of Remote Sensing, Geomorphology and IEEE Geoscience and Remote Sensing Letters.

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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