Jayanta Kumar Basak

2.5k citations
119 papers · 1.8k · 1 hit paper · h-index 23

Impact in

Papers in

    • Neural Networks and Applications 28
    • Fuzzy Logic and Control Systems 10
    • Greenhouse Technology and Climate Control 12
    • Smart Agriculture and AI 10

Jayanta Kumar Basak

113 papers receiving 1.7k citations

Jayanta Kumar Basak's Hit Papers

A Lightweight Attention-Based Convolutional Neural Networks for Tomato Leaf Disease Classification 2022 · 121 citations
1210+1+2Years since publication4080120

Peers

Jayanta Kumar Basak
Comparison fields: 5 of 146
  • Computer Vision and Pattern Recognition 384
  • Artificial Intelligence 598
  • Analytical Chemistry 176
  • Plant Science 465
  • Animal Science and Zoology 102
Replace Shuangyin Liu with:
Shuangyin Liu China
Pablo M. Granitto Argentina
Dong Sun Park South Korea
Yuan Rao China
Sylvio Barbon Brazil
Sook Yoon South Korea
Argel A. Bandala Philippines
Weikuan Jia China
Dalcimar Casanova Brazil
Murat Köklü Türkiye
Jayanta Kumar Basak relative to Shuangyin Liu China Shuangyin Liu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jayanta Kumar Basak

Since Specialization
Citations

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

Fields of papers citing papers by Jayanta Kumar Basak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jayanta Kumar Basak. 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 Jayanta Kumar Basak. The network helps show where Jayanta Kumar Basak may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 119 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010200
2
A Lightweight Attention-Based Convolutional Neural Networks for Tomato Leaf Disease Classification
Hit paper breakdown →
2022121
3 200096
4 200485
5 199862
6 202161
7 202154
8 202253
9 202050
10 202045
11
Climate Change in Bangladesh: A Historical Analysis of Temperature and Rainfall Data
201340
12 199437
13 202236
14 201834
15 201932
16 202030
17 200429
18 202228
19 202027
20 200127

About Jayanta Kumar Basak

Jayanta Kumar Basak is a scholar working on Artificial Intelligence, Plant Science, Computer Vision and Pattern Recognition, Signal Processing and Animal Science and Zoology, having authored 119 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neural Networks and Applications (28 papers), Face and Expression Recognition (14 papers), Effects of Environmental Stressors on Livestock (14 papers), Greenhouse Technology and Climate Control (12 papers), Fuzzy Logic and Control Systems (10 papers), Smart Agriculture and AI (10 papers), Animal Behavior and Welfare Studies (10 papers) and Blind Source Separation Techniques (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (384 citations), Artificial Intelligence (598 citations), Analytical Chemistry (176 citations), Plant Science (465 citations) and Animal Science and Zoology (102 citations). Jayanta Kumar Basak has collaborated with scholars based in India, South Korea and Bangladesh. Frequent co-authors include Hyeon Tae Kim, Sankar K. Pal, Sebastián Maldonado, Richard W. Weber, Rajat K. De, Elanchezhian Arulmozhi, Anil Bhujel, Raghu Krishnapuram, Fawad Khan and Byeong Eun Moon. Their work appears in journals such as Neural Computation, Horticulture Environment and Biotechnology, Air Quality Atmosphere & Health, Information Sciences 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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