Shaochun Li

613 total citations
31 papers, 396 citations indexed

About

Shaochun Li is a scholar working on Global and Planetary Change, Artificial Intelligence and Information Systems. According to data from OpenAlex, Shaochun Li has authored 31 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Global and Planetary Change, 7 papers in Artificial Intelligence and 6 papers in Information Systems. Recurrent topics in Shaochun Li's work include Remote Sensing in Agriculture (5 papers), Remote Sensing and LiDAR Applications (4 papers) and Land Use and Ecosystem Services (4 papers). Shaochun Li is often cited by papers focused on Remote Sensing in Agriculture (5 papers), Remote Sensing and LiDAR Applications (4 papers) and Land Use and Ecosystem Services (4 papers). Shaochun Li collaborates with scholars based in China, Taiwan and Hong Kong. Shaochun Li's co-authors include Yanjun Wang, Fei Teng, Mengjie Wang, Pengwei Hu, Jing Mei, Hui Su, Jie Zhou, Chenhao Lin, Henry W. C. Leung and Mengjie Wang and has published in prestigious journals such as IEEE Access, Sensors and International Journal of Environmental Research and Public Health.

In The Last Decade

Shaochun Li

28 papers receiving 380 citations

Peers

Shaochun Li
Comparison fields: 5 of 86
  • Social Psychology 95
  • Environmental Engineering 92
  • Artificial Intelligence 90
  • Global and Planetary Change 78
  • Media Technology 64
Replace Kuniaki Uto with:
Kuniaki Uto Japan
Jasper S. Wijnands Australia
Yangyang Liu China
Sven Schneider Germany
José A. Piedra-Fernández Spain
Hong Zheng China
Marcela Charfuelàn Germany
Chanuki Illushka Seresinhe United Kingdom
Guoqing Zhang China
Bowen Shi China
Kuniaki Uto Japan View profile →
Citations per field, relative to Shaochun Li
Shaochun Li · 1×
Citations per year, relative to Shaochun Li
Shaochun Li · 1×

Countries citing papers authored by Shaochun Li

Since Specialization
Citations

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

Fields of papers citing papers by Shaochun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaochun Li

This figure shows the co-authorship network connecting the top 25 collaborators of Shaochun Li. A scholar is included among the top collaborators of Shaochun Li 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 Shaochun Li. Shaochun Li 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 0
3 17
4 2
5 5
6 9
7 13
8 14
9 27
10
Accelerating Epidemiological Investigation Analysis by Using NLP and Knowledge Reasoning: A Case Study on COVID-19.
4
11 24
12 4
13 3
14 0
15 0
16 3
17 9
18 4
19 2
20 3

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