C. K. Sunil

548 citations
7 papers · 361 indexed · 2 hit papers · h-index 6
Topics
Smart Agriculture and AI (7 papers)Plant Disease Management Techniques (2 papers)Spectroscopy and Chemometric Analyses (2 papers)
Partner nations
IndiaChinaIndonesia

In The Last Decade

C. K. Sunil

7 papers receiving 336 citations

Hit Papers

DFN-PSAN: Multi-level deep information feature fusion ext...202320262024202520232023255075

Peers

C. K. Sunil
Comparison fields: 5 of 59
  • Plant Science 309
  • Analytical Chemistry 134
  • Ecology 50
  • Food Science 23
  • Computer Vision and Pattern Recognition 16
Replace Chowdhury Rafeed Rahman with:
Chowdhury Rafeed Rahman Bangladesh
Poornima Singh Thakur India
Amit Sinha India
Aanis Ahmad United States
Rajesh Yakkundimath India
Guofeng Yang China
Sk Mahmudul Hassan India
Rutuja Rajendra Patil India
Brendan Calvert Australia
Loukas Athanasakos Greece
C. K. Sunil relative to Chowdhury Rafeed Rahman Bangladesh Chowdhury Rafeed Rahman's profile →
Citations per field
00.5×
Chowdhury Rafeed Rahman · 1×
Citations per year

Countries citing papers authored by C. K. Sunil

Since Specialization
Citations

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

Fields of papers citing papers by C. K. Sunil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. K. Sunil. 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 C. K. Sunil. The network helps show where C. K. Sunil may publish in the future.

Co-authorship network of co-authors of C. K. Sunil

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1
Tomato plant disease classification using Multilevel Feature Fusion with adaptive channel spatial and pixel attention mechanismbreakdown →
76
2 56
3
DFN-PSAN: Multi-level deep information feature fusion extraction network for interpretable plant disease classificationbreakdown →
78
4 5
5 12
6 126
7 8

About C. K. Sunil

C. K. Sunil is a scholar working on Analytical Chemistry, Plant Science and Safety, Risk, Reliability and Quality, having authored 7 papers that have together received 361 indexed citations. Recurring topics across this work include Smart Agriculture and AI (7 papers), Plant Disease Management Techniques (2 papers) and Spectroscopy and Chemometric Analyses (2 papers). The work is most often cited by research in Analytical Chemistry (134 citations), Plant Science (309 citations) and Ecology (50 citations). C. K. Sunil has collaborated with scholars based in India, China and Indonesia. Frequent co-authors include Nagamma Patil, C. D. Jaidhar, Christine Dewi, Guowei Dai, Jingchao Fan, K R Venugopal and P. Deepa Shenoy. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Computers and Electronics in Agriculture.

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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2026