Di Cai

534 citations
14 papers · 365 indexed · 1 hit paper · h-index 6
Topics
Spectroscopy and Chemometric Analyses (2 papers)Mycotoxins in Agriculture and Food (2 papers)Water Quality Monitoring Technologies (2 papers)

In The Last Decade

Di Cai

13 papers receiving 351 citations

Hit Papers

Image recognition of four rice leaf diseases based on dee...2020202620222024202050100150200250

Peers

Di Cai
Comparison fields: 5 of 76
  • Plant Science 259
  • Analytical Chemistry 124
  • Ecology 28
  • Artificial Intelligence 24
  • Water Science and Technology 19
Replace Longgang Zhao with:
Longgang Zhao China
S. K. Bodhe India
Ira C. Valenzuela Philippines
Jiangong Ni China
Zulkifli Husin Malaysia
Rohani Farook Malaysia
Lianming Xia China
Vandana B. Malode India
Mohamed Farag Taha China
Ridip Dev Choudhury India
Di Cai relative to Longgang Zhao China Longgang Zhao's profile →
Citations per field
00.5×4.8×
Longgang Zhao · 1×
Citations per year

Countries citing papers authored by Di Cai

Since Specialization
Citations

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

Fields of papers citing papers by Di Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Di Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Di Cai. A scholar is included among the top collaborators of Di Cai 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 Di Cai. Di Cai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 4
2 20
3 10
4 6
5 2
6 18
7 4
8 3
9 1
10
Image recognition of four rice leaf diseases based on deep learning and support vector machinebreakdown →
281
11 6
12 5
13 5
14
[Effect of fast capacitance compensation method on improving the action potential firing accuracy of nerve cell].
0

About Di Cai

Di Cai is a scholar working on Industrial and Manufacturing Engineering, Modeling and Simulation and Analytical Chemistry, having authored 14 papers that have together received 365 indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (2 papers), Mycotoxins in Agriculture and Food (2 papers) and Water Quality Monitoring Technologies (2 papers). The work is most often cited by research in Analytical Chemistry (124 citations), Plant Science (259 citations) and Industrial and Manufacturing Engineering (12 citations). Di Cai has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Gongfa Li, Yang Lü, Yu Chen, Feng Jiang, Xiaochuan Sun, Zhigang Li, Jinzhen Fan, Yongming Han, Zhiqiang Geng and Yeqing Li. Their work appears in journals such as Journal of Hazardous Materials, Food Chemistry and Applied Energy.

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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