Feng Kang

668 citations
42 papers · 481 · 1 hit paper · h-index 12

Impact in

Papers in

    • Plant Surface Properties and Treatments 9
    • Smart Agriculture and AI 9
    • Horticultural and Viticultural Research 5
    • Tree Root and Stability Studies 8

Feng Kang

39 papers receiving 473 citations

Feng Kang's Hit Papers

PC-YOLO11s: A Lightweight and Effective Feature Extraction Method for Small Target Image Detection 2025 · 31 citations
310Years since publication102030

Peers

Feng Kang
Comparison fields: 5 of 75
  • Environmental Engineering 94
  • Geology 33
  • Plant Science 210
  • Fluid Flow and Transfer Processes 29
  • Computational Mechanics 93
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Changyuan Zhai China
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Feng Kang relative to Scarlett Liu Australia Scarlett Liu's profile →
Citations per field
00.5×7.3×
Scarlett Liu · 1×
Citations per year

Countries citing papers authored by Feng Kang

Since Specialization
Citations

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

Fields of papers citing papers by Feng Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Feng 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 Feng Kang Line = papers co-authored together Feng Kang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202260
2 201950
3 199532
4
PC-YOLO11s: A Lightweight and Effective Feature Extraction Method for Small Target Image Detection
Hit paper breakdown →
202531
5 202123
6 202123
7 202223
8 202120
9 202119
10 202317
11 199516
12 201712
13 202311
14 202311
15 202310
16 202010
17 201810
18 202010
19 202310
20 20239

About Feng Kang

Feng Kang is a scholar working on Plant Science, Mechanical Engineering, Environmental Engineering, Computational Mechanics and Mechanics of Materials, having authored 42 papers that have together received 481 indexed citations. Recurring topics across this work include Plant Surface Properties and Treatments (9 papers), Remote Sensing and LiDAR Applications (9 papers), Smart Agriculture and AI (9 papers), Tree Root and Stability Studies (8 papers), Spectroscopy and Chemometric Analyses (5 papers), Fluid Dynamics and Heat Transfer (5 papers), Forest Biomass Utilization and Management (5 papers) and Horticultural and Viticultural Research (5 papers). The work is most often cited by research in Environmental Engineering (94 citations), Geology (33 citations), Plant Science (210 citations), Fluid Flow and Transfer Processes (29 citations) and Computational Mechanics (93 citations). Feng Kang has collaborated with scholars based in China, United States and Portugal. Frequent co-authors include Yaxiong Wang, Wenbin Li, Chenxi Zhang, Jiangming Kan, Chongchong Chen, Yongjun Zheng, Kang Ping Chen, Kangping Chen, Xiaoyi Wu and Huicheng Li. Their work appears in journals such as International journal of agricultural and biological engineering, Forests, Remote Sensing, Sensors and Journal of Cleaner Production.

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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