Kun Feng

627 total citations
23 papers, 478 citations indexed

About

Kun Feng is a scholar working on Ecology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Kun Feng has authored 23 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Ecology, 10 papers in Global and Planetary Change and 6 papers in Environmental Engineering. Recurrent topics in Kun Feng's work include Remote Sensing in Agriculture (10 papers), Land Use and Ecosystem Services (6 papers) and Remote Sensing and LiDAR Applications (4 papers). Kun Feng is often cited by papers focused on Remote Sensing in Agriculture (10 papers), Land Use and Ecosystem Services (6 papers) and Remote Sensing and LiDAR Applications (4 papers). Kun Feng collaborates with scholars based in China, Japan and Switzerland. Kun Feng's co-authors include Changzhen Yan, Lina Xiu, Dawen Qian, Shulin Liu, Zichen Guo, Wenping Kang, Tao Wang, Xiang Chen, Xiaosong Li and Xiaohui Zhai and has published in prestigious journals such as Journal of the American Chemical Society, The Science of The Total Environment and Frontiers in Immunology.

In The Last Decade

Kun Feng

21 papers receiving 473 citations

Peers

Kun Feng
Comparison fields: 5 of 72
  • Global and Planetary Change 271
  • Ecology 244
  • Environmental Engineering 111
  • Atmospheric Science 82
  • Management, Monitoring, Policy and Law 64
Replace Deyong Yu with:
Deyong Yu China
Qunou Jiang China
Ziqiang Du China
Xin Dou China
Guilherme Mataveli Brazil
Suhua Gong China
Dawen Qian China
Cun Chang China
Weiwei Liu China
Xueyi Shi China
Deyong Yu China View profile →
Citations per field, relative to Kun Feng
Kun Feng · 1×
Citations per year, relative to Kun Feng
Kun Feng · 1×

Countries citing papers authored by Kun Feng

Since Specialization
Citations

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

Fields of papers citing papers by Kun Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Feng. A scholar is included among the top collaborators of Kun Feng 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 Kun Feng. Kun Feng 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 0
2 0
3 1
4 2
5 2
6 3
7
Effectiveness of Comprehensive Nursing Intervention Based on the Roy Adaptation Model in the Perioperative Period of Bladder Cancer.
1
8 2
9 8
10 34
11 14
12 42
13 14
14 17
15 44
16 61
17 22
18 15
19 59
20 67

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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