Bikash Sadhukhan

617 citations

34 papers · 317 indexed · h-index 10

Management Science and Operations Research top 5%
- Stock Market Forecasting Methods 8
Artificial Intelligence top 10%
- Seismology and Earthquake Studies 4
- Sentiment Analysis and Opinion Mining 3
Finance
Geophysics
- Earthquake Detection and Analysis 6
- earthquake and tectonic studies 6
Signal Processing
Economics and Econometrics
- Complex Systems and Time Series Analysis 6
Electrical and Electronic Engineering
- Energy Load and Power Forecasting 4
Health Information Management
- Artificial Intelligence in Healthcare 3

Co-authors: Somenath Mukherjee Nabanita Das Satyajit Chakrabarti Rajdeep Chatterjee Bidhan Chandra Koner Rajdeep Ghosh Radha Tamal Goswami Ankush Kumar
Cited by: Management Science and Operations Research Artificial Intelligence Finance
Journals: Multimedia Tools and Applications (1 paper)Frontiers in Earth Science (1 paper)Arabian Journal of Geosciences (4 papers)
Partner nations: India

In The Last Decade

Bikash Sadhukhan

27 papers receiving 290 citations

Peers

Countries citing papers authored by Bikash Sadhukhan

Since Specialization

Citations

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

Fields of papers citing papers by Bikash Sadhukhan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bikash Sadhukhan. 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 Bikash Sadhukhan. The network helps show where Bikash Sadhukhan may publish in the future.

Co-authorship network

The 12 scholars most cited alongside Bikash Sadhukhan, 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 Bikash Sadhukhan Line = papers co-authored together Bikash Sadhukhan links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Predictive Modeling for Mortality Risk in Nonalcoholic Fatty Liver Disease Patients: A Machine Learning Approach Anandarupa Neogi,Anubhav Jaiswal,Ankush Kumar,Jyoti Anand,Bikash Sadhukhan	2024	1
2	Integrating EEMD and ensemble CNN with X (Twitter) sentiment for enhanced stock price predictions Social Network Analysis and Mining ·Nabanita Das,Bikash Sadhukhan,Susmit Sekhar Bhakta,Satyajit Chakrabarti	2024	14
3	WhisperSum: Unified Audio-to-Text Summarization S. Ganguly,Sourav Mandal,Nabanita Das,Bikash Sadhukhan,Sibaji Sarkar,Swagata Paul	2024	2
4	Developing Hybrid Deep Learning Models for Stock Price Prediction Using Enhanced Twitter Sentiment Score and Technical Indicators Computational Economics ·Nabanita Das,Bikash Sadhukhan,Rajdeep Ghosh,Satyajit Chakrabarti	2024	10
5	Climatic and seismic data-driven deep learning model for earthquake magnitude prediction Frontiers in Earth Science ·Bikash Sadhukhan,Shayak Chakraborty,Somenath Mukherjee,Raj Kumar Samanta	2023	9
6	Speech Recognition and Neural Networks based Talking Health Care Bot (THCB): Medibot Dwaipayan Bandopadhyay,Rajdeep Ghosh,Rajdeep Mohan Chatterjee,Nabanita Das,Bikash Sadhukhan	2023	6
7	Enhancing Early Detection of Cardiovascular Diseases using Machine Learning Techniques: A Comparative Study Susmit Sekhar Bhakta,Bikash Sadhukhan,Nabanita Das	2023	4
8	Development of an Ensemble Machine Learning-Based Decision Support System for Patient Admission in Healthcare Unit Tanusree Pathak,Susmit Sekhar Bhakta,Arghya Das,Bikash Sadhukhan	2023	3
9	Investigating the Fractality and Stationarity Behavior of Global Temperature Anomaly Time Series Bikash Sadhukhan,Somenath Mukherjee,Raj Kumar Samanta	2023	0
10	Hurst exponent estimation using neural network International Journal of Computational Science and Engineering ·Somenath Mukherjee,Bikash Sadhukhan,Arghya Kusum Das,Abhra Chaudhuri	2023	4
11	Exploring Stationarity and Fractality in Stock Market Time-series Debabrata Batabyal,Dwaipayan Bandopadhyay,Bikash Sadhukhan,Nabanita Das,Somenath Mukherjee	2023	5
12	Intrusion Detection in IoT Systems Using Ensemble Machine Learning Techniques Bishal Laha,Debopriya Basu,Souvik Biswas,Pallabi Gupta,Bikash Sadhukhan	2023	2
13	Effect of public sentiment on stock market movement prediction during the COVID-19 outbreak Social Network Analysis and Mining ·Nabanita Das,Bikash Sadhukhan,Tanusree Chatterjee,Satyajit Chakrabarti	2022	26
14	The Impact of Rising Global Temperatures on Seismicity: A Case Study in Alaska 2022 IEEE 19th India Council International Conference (INDICON) ·Bikash Sadhukhan,Somenath Mukherjee,Raj Kumar Samanta	2022	2
15	A Study of Global Temperature Anomalies and their Changing Trends due to Global Warming Bikash Sadhukhan,Somenath Mukherjee,Raj Kumar Samanta	2022	5
16	Scope of machine learning applications for addressing the challenges in next‐generation wireless networks CAAI Transactions on Intelligence Technology ·Raj Kumar Samanta,Bikash Sadhukhan,Hiranmay Samaddar,Suvobrata Sarkar,Bidhan Chandra Koner,Monidepa Ghosh	2022	30
17	Hurst exponent estimation using neural network International Journal of Computational Science and Engineering ·Somenath Mukherjee,Bikash Sadhukhan,Abhra Chaudhuri,Arghya Das	2022	3
18	Stock market prediction using deep learning algorithms CAAI Transactions on Intelligence Technology ·Somenath Mukherjee,Bikash Sadhukhan,Nairita Sarkar,Debajyoti Roy,Soumil De	2021	76
19	Investigating the relationship between earthquake occurrences and global temperature fluctuation patterns Arabian Journal of Geosciences ·Bikash Sadhukhan,Somenath Mukherjee,Debarpito Sarkar,Raj Kumar Samanta	2021	7
20	Investigating the relationship between earthquake occurrences and climate change using RNN-based deep learning approach Arabian Journal of Geosciences ·Bikash Sadhukhan,Shayak Chakraborty,Somenath Mukherjee	2021	19

About Bikash Sadhukhan

Bikash Sadhukhan is a scholar working on Health Information Management, Management Science and Operations Research and Artificial Intelligence, having authored 34 papers that have together received 317 indexed citations. Recurring topics across this work include Stock Market Forecasting Methods (8 papers), Earthquake Detection and Analysis (6 papers), Complex Systems and Time Series Analysis (6 papers), earthquake and tectonic studies (6 papers), Energy Load and Power Forecasting (4 papers), Seismology and Earthquake Studies (4 papers), Sentiment Analysis and Opinion Mining (3 papers) and Artificial Intelligence in Healthcare (3 papers). The work is most often cited by research in Management Science and Operations Research (135 citations), Artificial Intelligence (107 citations) and Finance (30 citations). Bikash Sadhukhan has collaborated with scholars based in India. Frequent co-authors include Somenath Mukherjee, Nabanita Das, Satyajit Chakrabarti, Rajdeep Chatterjee, Bidhan Chandra Koner, Rajdeep Ghosh, Radha Tamal Goswami, Nabanita Das, Ankush Kumar and S. Ganguly. Their work appears in journals such as Multimedia Tools and Applications, Frontiers in Earth Science and Arabian Journal of Geosciences.

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