Qingliang Li

1.5k citations
74 papers · 940 indexed · 2 hit papers · h-index 16
Topics
Soil Moisture and Remote Sensing (28 papers)Landslides and related hazards (19 papers)Hydrological Forecasting Using AI (10 papers)
Partner nations
ChinaUnited StatesIran

In The Last Decade

Qingliang Li

65 papers receiving 906 citations

Hit Papers

A 1 km daily soil moisture dataset over China using in si...2022202620232024202220254080120

Peers

Qingliang Li
Comparison fields: 5 of 84
  • Environmental Engineering 539
  • Atmospheric Science 236
  • Global and Planetary Change 227
  • Management, Monitoring, Policy and Law 179
  • Civil and Structural Engineering 172
Replace Kumar Gaurav with:
Kumar Gaurav India
Husam Al-Najjar Australia
Hongliang Ma China
Shuang Zhu China
Dianjun Zhang China
Xingming Zheng China
Bianca Ortuani Italy
Xiangang Luo China
Dheeraj Kumar India
Inhye Park South Korea
Qingliang Li relative to Kumar Gaurav India Kumar Gaurav's profile →
Citations per field
00.5×2.6×
Kumar Gaurav · 1×
Citations per year

Countries citing papers authored by Qingliang Li

Since Specialization
Citations

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

Fields of papers citing papers by Qingliang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingliang Li

This figure shows the co-authorship network connecting the top 25 collaborators of Qingliang Li. A scholar is included among the top collaborators of Qingliang 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 Qingliang Li. Qingliang 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
#WorkIndexed citations
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Numerical analysis of HF antennas mounted on complex targets
1

About Qingliang Li

Qingliang Li is a scholar working on Environmental Engineering, Management, Monitoring, Policy and Law and Atmospheric Science, having authored 74 papers that have together received 940 indexed citations. Recurring topics across this work include Soil Moisture and Remote Sensing (28 papers), Landslides and related hazards (19 papers) and Hydrological Forecasting Using AI (10 papers). The work is most often cited by research in Environmental Engineering (539 citations), Management, Monitoring, Policy and Law (179 citations) and Atmospheric Science (236 citations). Qingliang Li has collaborated with scholars based in China, United States and Iran. Frequent co-authors include Wei Shangguan, Fanhua Yu, Lu Li, Xuezhi Wang, Feini Huang, Yongjiu Dai, Ye Zhang, Li Lü, Yifei Yao and Vahid Nourani. Their work appears in journals such as Advanced Materials, Journal of Hydrology and Expert Systems with Applications.

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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