# Jyoti Prakash Singh

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/jyoti-prakash-singh/

## Facts

| Field | Value |
| --- | --- |
| Citations | 5,801 |
| Field | Mobile Ad Hoc Networks |
| h-index | 35 |
| i10-index | 108 |
| Last Known Institution | Maharaja Sayajirao University of Baroda |
| OpenAlex ID | https://openalex.org/A5035277232 |
| ORCID iD | 0000-0002-3742-7484 |
| Works | 376 |

## Researcher papers

- [Azithromycin in patients admitted to hospital with COVID-19 (RECOVERY): a randomised, controlled, open-label, platform trial](https://scholariq.org/papers/azithromycin-in-patients-admitted-to-hospital-with-covid-19-recovery-a/)
- [Predicting the “helpfulness” of online consumer reviews](https://scholariq.org/papers/predicting-the-helpfulness-of-online-consumer-reviews/)
- [A Survey on Successors of LEACH Protocol](https://scholariq.org/papers/a-survey-on-successors-of-leach-protocol/)
- [Crop Selection Method to maximize crop yield rate using machine learning technique](https://scholariq.org/papers/crop-selection-method-to-maximize-crop-yield-rate-using-machine-learning/)
- [Deep learning to filter SMS Spam](https://scholariq.org/papers/deep-learning-to-filter-sms-spam/)
- [Event classification and location prediction from tweets during disasters](https://scholariq.org/papers/event-classification-and-location-prediction-from-tweets-during-disasters/)
- [A deep multi-modal neural network for informative Twitter content classification during emergencies](https://scholariq.org/papers/a-deep-multi-modal-neural-network-for-informative-twitter-content-classification/)
- [Ranking online consumer reviews](https://scholariq.org/papers/ranking-online-consumer-reviews/)
- [Corona virus SARS-CoV-2 disease COVID-19: Infection, prevention and clinical advances of the prospective chemical drug therapeutics](https://scholariq.org/papers/corona-virus-sars-cov-2-disease-covid-19-infection-prevention-and-clinical/)
- [Analysis of community question‐answering issues via machine learning and deep learning: State‐of‐the‐art review](https://scholariq.org/papers/analysis-of-community-question-answering-issues-via-machine-learning-and-deep/)
- [A meta-learning framework for recommending CNN models for plant disease identification tasks](https://scholariq.org/papers/a-meta-learning-framework-for-recommending-cnn-models-for-plant-disease/)

## Researcher topics

- [Mobile Ad Hoc Networks](https://scholariq.org/topics/mobile-ad-hoc-networks/)
- [Energy Efficient Wireless Sensor Networks](https://scholariq.org/topics/energy-efficient-wireless-sensor-networks/)
- [Sentiment Analysis and Opinion Mining](https://scholariq.org/topics/sentiment-analysis-and-opinion-mining/)
- [Advanced Malware Detection Techniques](https://scholariq.org/topics/advanced-malware-detection-techniques/)
- [Network Security and Intrusion Detection](https://scholariq.org/topics/network-security-and-intrusion-detection/)

## Researcher university

- [Maharaja Sayajirao University of Baroda](https://scholariq.org/institutions/maharaja-sayajirao-university-of-baroda/)

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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.