Lingjun Kang

594 citations
22 papers · 471 · h-index 12

Impact in

Papers in

Lingjun Kang

22 papers receiving 458 citations

Peers

Lingjun Kang
Comparison fields: 5 of 55
  • Global and Planetary Change 268
  • Environmental Engineering 116
  • Ecology 188
  • Atmospheric Science 109
  • Water Science and Technology 77
Replace Olga M. Kussul with:
Olga M. Kussul Ukraine
Rolf Ezequiel de Oliveira Simões Brazil
Gilberto Zonta Pastorello Junior United States
Thales Sehn Körting Brazil
Guido Waldhoff Germany
Emanuele Angiuli Italy
Ali Levent Yağcı United States
Ethan J. Shavers United States
Michel Eustáquio Dantas Chaves Brazil
Stuart Minchin Australia
Lingjun Kang relative to Olga M. Kussul Ukraine Olga M. Kussul's profile →
Citations per field
00.5×1.5×
Olga M. Kussul · 1×
Citations per year

Countries citing papers authored by Lingjun Kang

Since Specialization
Citations

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

Fields of papers citing papers by Lingjun Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Lingjun Kang, 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 Lingjun Kang Line = papers co-authored together Lingjun Kang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201799
2 201662
3 201960
4 201747
5 201327
6 201425
7 201623
8 201320
9 201619
10 201613
11 201312
12 201712
13 201712
14 201612
15 20138
16 20157
17 20154
18 20103
19 20122
20 20162

About Lingjun Kang

Lingjun Kang is a scholar working on Environmental Engineering, Global and Planetary Change, Ecology, Water Science and Technology and Geography, Planning and Development, having authored 22 papers that have together received 471 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (10 papers), Remote Sensing and LiDAR Applications (6 papers), Flood Risk Assessment and Management (5 papers), Geographic Information Systems Studies (3 papers), Advanced Computational Techniques and Applications (3 papers), Land Use and Ecosystem Services (3 papers), Hydrology and Watershed Management Studies (3 papers) and Leaf Properties and Growth Measurement (2 papers). The work is most often cited by research in Global and Planetary Change (268 citations), Environmental Engineering (116 citations), Ecology (188 citations), Atmospheric Science (109 citations) and Water Science and Technology (77 citations). Lingjun Kang has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Liping Di, Genong Yu, Ranjay Man Shrestha, Yuanzheng Shao, Li Lin, Md. Shahinoor Rahman, Meixia Deng, Junmei Tang, Chen Zhang and Yuqi Bai. Their work appears in journals such as Journal of Integrative Agriculture, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Computers & Geosciences, IEEE Transactions on Geoscience and Remote Sensing and Remote Sensing.

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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