Yanfeng Wang

726 citations
25 papers · 464 · h-index 14

Impact in

    • Spectroscopy and Chemometric Analyses
    • Smart Agriculture and AI
    • Leaf Properties and Growth Measurement
    • Plant Disease Management Techniques
    • Date Palm Research Studies

Papers in

Yanfeng Wang

21 papers receiving 453 citations

Peers

Yanfeng Wang
Comparison fields: 5 of 81
  • Analytical Chemistry 96
  • Plant Science 263
  • Computer Vision and Pattern Recognition 70
  • Civil and Structural Engineering 54
  • Industrial and Manufacturing Engineering 21
Replace Zhenchao Wu with:
Zhenchao Wu China
Nikos Mylonas Greece
Alistair Scarfe New Zealand
Matthew Seabright New Zealand
Yuhao Bai China
Jamie Bell New Zealand
Mitsutaka Kurita Japan
Guoxiong Zhou China
Akira Mizushima Japan
Yuanyue Ge Norway
Yanfeng Wang relative to Zhenchao Wu China Zhenchao Wu's profile →
Citations per field
00.5×1.6×
Zhenchao Wu · 1×
Citations per year

Countries citing papers authored by Yanfeng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yanfeng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202362
2 202359
3 202251
4 202247
5 202331
6 201831
7 202427
8 202425
9 202220
10 202220
11 202217
12 202317
13 202416
14 202414
15 202311
16 20245
17 20233
18 20232
19 20162
20 20251

About Yanfeng Wang

Yanfeng Wang is a scholar working on Plant Science, Computer Vision and Pattern Recognition, Control and Systems Engineering, Analytical Chemistry and Civil and Structural Engineering, having authored 25 papers that have together received 464 indexed citations. Recurring topics across this work include Smart Agriculture and AI (8 papers), Spectroscopy and Chemometric Analyses (5 papers), Leaf Properties and Growth Measurement (4 papers), Image Enhancement Techniques (2 papers), Infrastructure Maintenance and Monitoring (2 papers), Technology Assessment and Management (2 papers), Remote Sensing in Agriculture (2 papers) and Image and Signal Denoising Methods (2 papers). The work is most often cited by research in Analytical Chemistry (96 citations), Plant Science (263 citations), Computer Vision and Pattern Recognition (70 citations), Civil and Structural Engineering (54 citations) and Industrial and Manufacturing Engineering (21 citations). Yanfeng Wang has collaborated with scholars based in China and United States. Frequent co-authors include Liujun Li, Yahui Hu, Aibin Chen, Guoxiong Zhou, Weiwei Cai, Guoxiong Zhou, Zhiwen Tang, Xinyu He, Chao Lü and Liangji Zhang. Their work appears in journals such as Automation in Construction, Plant Phenomics, Frontiers in Plant Science, Engineering Applications of Artificial Intelligence and Applied Sciences.

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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