Hengnian Qi

1.0k citations
73 papers · 613 indexed · h-index 15
Topics
Spectroscopy and Chemometric Analyses (30 papers)Remote Sensing and Land Use (12 papers)Smart Agriculture and AI (11 papers)
Partner nations
ChinaIrelandNepal

In The Last Decade

Hengnian Qi

59 papers receiving 589 citations

Peers

Hengnian Qi
Comparison fields: 5 of 97
  • Analytical Chemistry 291
  • Plant Science 199
  • Biomedical Engineering 102
  • Biophysics 71
  • Computer Vision and Pattern Recognition 68
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Xiang Yin China
Jifeng Shen China
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Citations per field
00.5×4.5×
J.M. Prats-Montalbán · 1×
Citations per year

Countries citing papers authored by Hengnian Qi

Since Specialization
Citations

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

Fields of papers citing papers by Hengnian Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hengnian Qi

This figure shows the co-authorship network connecting the top 25 collaborators of Hengnian Qi. A scholar is included among the top collaborators of Hengnian Qi 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 Hengnian Qi. Hengnian Qi 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
#WorkIndexed citations
1 0
2 0
3 1
4 0
5 20
6 0
7 18
8 38
9 3
10 10
11 28
12 2
13 15
14 44
15
Study on detection technology of rice seed vigor based on hyperspectral image.
2
16
A review of research on wood recognition technology.
4
17
Multi-class SVM and Its Application in TM Image Segmentation.
1
18
Support Vector Machines and Application Research Overview
25
19
Automatically obtaining of appearance features and computer-aided plant classification and identification
1
20
Multi-class SVM Based Remote Sensing Image Classification and Their Semi-supervised Improvement Scheme
0

About Hengnian Qi

Hengnian Qi is a scholar working on Analytical Chemistry, Biophysics and Industrial and Manufacturing Engineering, having authored 73 papers that have together received 613 indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (30 papers), Remote Sensing and Land Use (12 papers) and Smart Agriculture and AI (11 papers). The work is most often cited by research in Analytical Chemistry (291 citations), Biophysics (71 citations) and Industrial and Manufacturing Engineering (58 citations). Hengnian Qi has collaborated with scholars based in China, Ireland and Nepal. Frequent co-authors include Chu Zhang, Cheng Li, Guangwu Zhao, Lei Zhou, Liangquan Jia, Bi-hui Wang, Jianyi Zhang, Xiaofeng Wang, Cong Shen and Fei Zhou. Their work appears in journals such as PLoS ONE, Food Chemistry and Frontiers in Plant Science.

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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