Lanyu Shang

1.1k total citations
69 papers, 656 citations indexed

About

Lanyu Shang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Sociology and Political Science. According to data from OpenAlex, Lanyu Shang has authored 69 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Artificial Intelligence, 22 papers in Computer Vision and Pattern Recognition and 21 papers in Sociology and Political Science. Recurrent topics in Lanyu Shang's work include Misinformation and Its Impacts (21 papers), Topic Modeling (15 papers) and Mobile Crowdsensing and Crowdsourcing (15 papers). Lanyu Shang is often cited by papers focused on Misinformation and Its Impacts (21 papers), Topic Modeling (15 papers) and Mobile Crowdsensing and Crowdsourcing (15 papers). Lanyu Shang collaborates with scholars based in United States, United Kingdom and France. Lanyu Shang's co-authors include Dong Wang, Yang Zhang, Ziyi Kou, Daniel Zhang, Zhenrui Yue, Huimin Zeng, Na Wei, Xiangyu Dong, Dong Wang and Yiwen Lu and has published in prestigious journals such as Environmental Science & Technology, IEEE Transactions on Geoscience and Remote Sensing and Knowledge-Based Systems.

In The Last Decade

Lanyu Shang

65 papers receiving 631 citations

Peers

Lanyu Shang
Comparison fields: 5 of 95
  • Artificial Intelligence 325
  • Sociology and Political Science 265
  • Information Systems 139
  • Computer Vision and Pattern Recognition 113
  • Computer Science Applications 95
Replace Yuichi Sei with:
Yuichi Sei Japan
Md Tanvir Al Amin United States
Claudio Silvestri Italy
Andrea Marchetti Italy
Kazutoshi Sumiya Japan
Russ Burtner United States
Slava Kisilevich Germany
Ryong Lee Japan
Sanjay Chakraborty India
Yuichi Sei Japan View profile →
Citations per field, relative to Lanyu Shang
Lanyu Shang · 1×
Citations per year, relative to Lanyu Shang
Lanyu Shang · 1×

Countries citing papers authored by Lanyu Shang

Since Specialization
Citations

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

Fields of papers citing papers by Lanyu Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lanyu Shang

This figure shows the co-authorship network connecting the top 25 collaborators of Lanyu Shang. A scholar is included among the top collaborators of Lanyu Shang 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 Lanyu Shang. Lanyu Shang 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
# Work Indexed citations
1 3
2 7
3 1
4 7
5 2
6 7
7 3
8 9
9 2
10 2
11 0
12 1
13 0
14 4
15 1
16 3
17 5
18 3
19 13
20 6

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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2026