Shaoda Li

416 citations
33 papers · 287 · h-index 12

Impact in

Papers in

Shaoda Li

28 papers receiving 282 citations

Peers

Shaoda Li
Comparison fields: 5 of 67
  • Geology 32
  • Management, Monitoring, Policy and Law 62
  • Environmental Engineering 69
  • Global and Planetary Change 72
  • Media Technology 28
Replace Tiejun Cui with:
Tiejun Cui China
Barbara Borzi Italy
Xiaohua Tong China
Ana Beatriz Acevedo Colombia
Won-Kyung Baek South Korea
Fengyan Wang China
Xiwei Fan China
Luyi Sun China
Roberta Ravanelli Italy
Jiansi Yang China
Shaoda Li relative to Tiejun Cui China Tiejun Cui's profile →
Citations per field
00.5×1.5×
Tiejun Cui · 1×
Citations per year

Countries citing papers authored by Shaoda Li

Since Specialization
Citations

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

Fields of papers citing papers by Shaoda Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Shaoda Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shaoda Li Line = papers co-authored together Shaoda Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202439
2 202131
3 202027
4 202317
5 202317
6 202316
7 202116
8 202215
9 202112
10 202312
11 201911
12 202111
13 202310
14 201210
15 20237
16 20237
17 20237
18 20135
19 20134
20 20203

About Shaoda Li

Shaoda Li is a scholar working on Environmental Engineering, Management, Monitoring, Policy and Law, Global and Planetary Change, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 33 papers that have together received 287 indexed citations. Recurring topics across this work include Landslides and related hazards (8 papers), Remote Sensing and LiDAR Applications (5 papers), 3D Surveying and Cultural Heritage (4 papers), Fire effects on ecosystems (4 papers), Robotics and Sensor-Based Localization (3 papers), Stochastic processes and statistical mechanics (3 papers), Automated Road and Building Extraction (3 papers) and Theoretical and Computational Physics (3 papers). The work is most often cited by research in Geology (32 citations), Management, Monitoring, Policy and Law (62 citations), Environmental Engineering (69 citations), Global and Planetary Change (72 citations) and Media Technology (28 citations). Shaoda Li has collaborated with scholars based in China, New Zealand and Italy. Frequent co-authors include Ronghao Yang, Junxiang Tan, Hanhu Liu, Mingzhe Liu, Liang Liu, Wei Li, Xiao Wang, Guyue Hu, Jianfei Liu and Xinyu Chen. Their work appears in journals such as Remote Sensing, Water, Bulletin of Engineering Geology and the Environment, International Journal of Digital Earth and Knowledge and Information 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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