Ashutosh Kumar Singh

Plant Science · Molecular breeding · 2001–2020

A researcher in the Science corpus: 45 papers; trusts 43 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

• Plant Science — 112 citations into it
• Materials Chemistry — 74 citations into it; #7,862 of 11,513 by trust here, #5,386 by citations
• Biomedical Engineering — 61 citations into it; #2,101 of 10,734 by trust here, #4,781 by citations
• Accounting — 45 citations into it
• Computer Vision and Pattern Recognition — 41 citations into it
• Finance — 30 citations into it
• Genetics — 29 citations into it
• Mechanical Engineering — 22 citations into it

Whom Ashutosh Kumar Singh trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Absar Ahmad
2. Jingcao Hu
3. Geoffrey E. Hinton
4. Eugene F. Fama
5. S. Shankar
6. Ross B. Girshick
7. Yann LeCun
8. Kaiming He
9. Yoshua Bengio
10. David A. Lesmond

Who trusts Ashutosh Kumar Singh overall

1. Wei Yu
2. Sayantan Mukherjee
3. M. Parra
4. Vinod Kumar Gupta
5. Lili Li
6. Muhammad Hammad Saleem
7. M. Pryazhnikov
8. Huaqing Xie
9. S. Paria
10. F. Haque

Papers from Ashutosh Kumar Singh's perspective

Ordered by how strongly the researchers Ashutosh Kumar Singh trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Going deeper with convolutions
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• The Elements of Statistical Learning: Data Mining, Inference, and Prediction (2010) — 2,135 citations
• Microwave synthesis of silver nanofluids with polyvinylpyrrolidone (PVP) and their transport properties (2008) — 161 citations
• Green approach to corrosion inhibition of mild steel in hydrochloric acid and sulphuric acid solutions by the extract of Murraya koenigii leaves (2010) — 458 citations
• Thermal Conductivity of Nanofluids (2008) — 200 citations
• A cobalt(II)-selective PVC membrane based on a Schiff base complex of N,N′-bis(salicylidene)-3,4-diaminotoluene (2006) — 357 citations
• Electrocatalytic activity of binary and ternary composite films of Pd, MWCNT and Ni, Part II: Methanol electrooxidation in 1 M KOH (2009) — 199 citations
• Synthesis, effect of capping agents, structural, optical and photoluminescence properties of ZnO nanoparticles (2009) — 275 citations
• MADS-box gene family in rice: genome-wide identification, organization and expression profiling during reproductive development and stress (2007) — 595 citations
• External stimuli response on a novel chitosan hydrogel crosslinked with formaldehyde (2006) — 194 citations
• Set-Structured Latent Representations (2020)
• CSR and sustainability reporting practices in India: an in-depth content analysis of top-listed companies (2019) — 132 citations
• Deep Learning for Plant Stress Phenotyping: Trends and Future Perspectives. (2018) — 510 citations
• Conductive polymers for thermoelectric power generation (2018) — 319 citations
• New constraints on oscillation parameters fromνeappearance andνμdisappearance in the NOvA experiment (2018) — 172 citations
• Determination of thermal damage in rock specimen using intelligent techniques (2018) — 52 citations
• Long Short Term Memory Recurrent Neural Network (LSTM-RNN) Based Workload Forecasting Model For Cloud Datacenters (2018) — 339 citations
• Global, regional, and national under-5 mortality, adult mortality, age-specific mortality, and life expectancy, 1970–2016: a systematic analysis for the Global Burden of Disease Study 2016 (2017) — 632 citations
• Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015 (2016) — 4,590 citations
• Global, regional, and national life expectancy, all-cause mortality, and cause-specific mortality for 249 causes of death, 1980-2015: a systematic analysis for the Global Burden of Disease Study 2015. (2016) — 5,345 citations
• Machine Learning for High-Throughput Stress Phenotyping in Plants. (2016) — 928 citations