# Sachi Nandan Mohanty

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/sachi-nandan-mohanty/

## Facts

| Field | Value |
| --- | --- |
| Citations | 9,341 |
| Field | Particle physics theoretical and experimental studies |
| h-index | 48 |
| i10-index | 180 |
| Last Known Institution | Hainan University |
| OpenAlex ID | https://openalex.org/A5058396473 |
| ORCID iD | 0000-0002-4939-0797 |
| Works | 577 |

## Researcher papers

- [Measurement of the branching ratio of<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:mover accent="true"><mml:mrow><mml:mi>B</mml:mi></mml:mrow><mml:mrow><mml:mo stretchy="false">¯</mml:mo></mml:mrow></mml:mover><mml:mo stretchy="false">→</mml:mo><mml:msup><mml:mrow><mml:mi>D</mml:mi></mml:mrow><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mo>*</mml:mo><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:msup><mml:msup><mml:mrow><mml:mi>τ</mml:mi></mml:mrow><mml:mrow><mml:mo>−</mml:mo></mml:mrow></mml:msup><mml:msub><mml:mrow><mml:mover accent="true"><mml:mrow><mml:mi>ν</mml:mi></mml:mrow><mml:mrow><mml:mo stretchy="false">¯</mml:mo></mml:mrow></mml:mover></mml:mrow><mml:mrow><mml:mi>τ</mml:mi></mml:mrow></mml:msub></mml:mrow></mml:math>relative to<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mover accent="true"><mml:mi>B</mml:mi><mml:mo stretchy="false">¯</mml:mo></mml:mover><mml:mo stretchy="false">→</mml:mo><mml:msup><mml:mi>D</mml:mi><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mo>*</mml:mo><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:msup><mml:msup><mml:mo>ℓ</mml:mo><mml:mo>−</mml:mo></mml:msup><mml:msub><mml:mover accent="true"><mml:mi>ν</mml:mi><mml:mo stretchy="false">¯</mml:mo></mml:mover><mml:mo>ℓ</mml:mo></mml:msub></mml:math>decays with hadronic tagging at Belle](https://scholariq.org/papers/measurement-of-the-branching-ratio-of-mml-math-xmlns-mml-http-www-w3-org-1998/)
- [Optimal deep learning model for classification of lung cancer on CT images](https://scholariq.org/papers/optimal-deep-learning-model-for-classification-of-lung-cancer-on-ct-images/)
- [Measurement of the <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>τ</mml:mi></mml:math> lepton polarization and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>R</mml:mi><mml:mo mathvariant="bold" stretchy="false">(</mml:mo><mml:msup><mml:mi>D</mml:mi><mml:mo>*</mml:mo></mml:msup><mml:mo mathvariant="bold" stretchy="false">)</mml:mo></mml:math> in the decay <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mover accent="true"><mml:mi>B</mml:mi><mml:mo stretchy="false">¯</mml:mo></mml:mover><mml:mo stretchy="false">→</mml:mo><mml:msup><mml:mi>D</mml:mi><mml:mo>*</mml:mo></mml:msup><mml:msup><mml:mi>τ</mml:mi><mml:mo>−</mml:mo></mml:msup><mml:msub><mml:mover accent="true"><mml:mi>ν</mml:mi><mml:mo stretchy="false">¯</mml:mo></mml:mover><mml:mi>τ</mml:mi></mml:msub></mml:math> with one-prong hadronic <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>τ</mml:mi></mml:math> decays at Belle](https://scholariq.org/papers/measurement-of-the-mml-math-xmlns-mml-http-www-w3-org-1998-math-mathml-display-3/)
- [Flood inundation modeling using MIKE FLOOD and remote sensing data](https://scholariq.org/papers/flood-inundation-modeling-using-mike-flood-and-remote-sensing-data/)
- [An efficient Lightweight integrated Blockchain (ELIB) model for IoT security and privacy](https://scholariq.org/papers/an-efficient-lightweight-integrated-blockchain-elib-model-for-iot-security-and/)
- [Online clinical decision support system using optimal deep neural networks](https://scholariq.org/papers/online-clinical-decision-support-system-using-optimal-deep-neural-networks/)
- [COVID-Transformer: Interpretable COVID-19 Detection Using Vision Transformer for Healthcare](https://scholariq.org/papers/covid-transformer-interpretable-covid-19-detection-using-vision-transformer-for/)
- [Deep learning with LSTM based distributed data mining model for energy efficient wireless sensor networks](https://scholariq.org/papers/deep-learning-with-lstm-based-distributed-data-mining-model-for-energy-efficient/)
- [Test of lepton flavor universality and search for lepton flavor violation in B → Kℓℓ decays](https://scholariq.org/papers/test-of-lepton-flavor-universality-and-search-for-lepton-flavor-violation-in-b/)
- [Precision pest management in agriculture using Inception V3 and EfficientNet B4: A deep learning approach for crop protection](https://scholariq.org/papers/precision-pest-management-in-agriculture-using-inception-v3-and-efficientnet-b4/)

## Researcher topics

- [Particle physics theoretical and experimental studies](https://scholariq.org/topics/particle-physics-theoretical-and-experimental-studies/)
- [Quantum Chromodynamics and Particle Interactions](https://scholariq.org/topics/quantum-chromodynamics-and-particle-interactions/)
- [High-Energy Particle Collisions Research](https://scholariq.org/topics/high-energy-particle-collisions-research/)
- [Aquaculture Nutrition and Growth](https://scholariq.org/topics/aquaculture-nutrition-and-growth/)
- [IoT and Edge/Fog Computing](https://scholariq.org/topics/iot-and-edge-fog-computing/)

## Researcher university

- [Hainan University](https://scholariq.org/institutions/hainan-university/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.
