Jin-King Liu

25 papers receiving 398 citations

Peers

Jin-King Liu
Comparison fields: 5 of 56
  • Management, Monitoring, Policy and Law 209
  • Geology 65
  • Environmental Engineering 151
  • Global and Planetary Change 144
  • Atmospheric Science 81
Replace Shengwei Liu with:
Shengwei Liu China
Mariano Focareta Italy
Fengyan Wang China
Francesca Garfagnoli Italy
Aurora Cuartero Spain
Aggeliki Kyriou Greece
Lichun Sui China
Kamila Pawłuszek-Filipiak Poland
Chih‐Ming Tseng Taiwan
Yueguan Yan China
Jin-King Liu relative to Shengwei Liu China Shengwei Liu's profile →
Citations per field
00.5×1.6×
Shengwei Liu · 1×
Citations per year

Countries citing papers authored by Jin-King Liu

Since Specialization
Citations

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

Fields of papers citing papers by Jin-King Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin-King Liu. 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 Jin-King Liu. The network helps show where Jin-King Liu may publish in the future.

Co-authors

The 22 scholars most cited alongside Jin-King Liu, 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 Jin-King Liu Line = papers co-authored together Jin-King Liu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015132
2 200548
3 200741
4 201331
5 201531
6 201620
7 201215
8 201512
9 201211
10 200910
11 20089
12 20158
13 20157
14 20117
15 20077
16 20076
17 20154
18 20033
19 20123
20 20182

About Jin-King Liu

Jin-King Liu is a scholar working on Environmental Engineering, Management, Monitoring, Policy and Law, Geology, Global and Planetary Change and Atmospheric Science, having authored 27 papers that have together received 415 indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (14 papers), Landslides and related hazards (11 papers), 3D Surveying and Cultural Heritage (7 papers), Remote Sensing and Land Use (5 papers), Fire effects on ecosystems (5 papers), Flood Risk Assessment and Management (4 papers), Automated Road and Building Extraction (3 papers) and Remote Sensing in Agriculture (3 papers). The work is most often cited by research in Management, Monitoring, Policy and Law (209 citations), Geology (65 citations), Environmental Engineering (151 citations), Global and Planetary Change (144 citations) and Atmospheric Science (81 citations). Jin-King Liu has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Kuan-Tsung Chang, Jiann-Yeou Rau, Shuisen Chen, Ali P. Yunus, Zhongfan Zhu, Jie Dou, Huan Yu Xia, Tee‐Ann Teo, Yuei‐An Liou and Tian‐Yuan Shih. Their work appears in journals such as Remote Sensing, Terrestrial Atmospheric and Oceanic Sciences, Journal of Marine Science and Technology, IEEE Transactions on Geoscience and Remote Sensing and Atmospheric Research.

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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