Sankhadeep Chatterjee

2.5k total citations
75 papers, 1.2k citations indexed

About

Sankhadeep Chatterjee is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Sankhadeep Chatterjee has authored 75 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 16 papers in Artificial Intelligence and 12 papers in Electrical and Electronic Engineering. Recurrent topics in Sankhadeep Chatterjee's work include Imbalanced Data Classification Techniques (10 papers), Medical Image Segmentation Techniques (5 papers) and Hydrological Forecasting Using AI (4 papers). Sankhadeep Chatterjee is often cited by papers focused on Imbalanced Data Classification Techniques (10 papers), Medical Image Segmentation Techniques (5 papers) and Hydrological Forecasting Using AI (4 papers). Sankhadeep Chatterjee collaborates with scholars based in India, Egypt and China. Sankhadeep Chatterjee's co-authors include Nilanjan Dey, Amira S. Ashour, Sirshendu Hore, Sarbartha Sarkar, Soumya Sen, Valentina Emilia Bălaş, Shouvik Chakraborty, Soumen Banerjee, Kalyani Mali and Dac‐Nhuong Le and has published in prestigious journals such as IEEE Access, IEEE Transactions on Fuzzy Systems and Journal of the Franklin Institute.

In The Last Decade

Sankhadeep Chatterjee

72 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sankhadeep Chatterjee India 20 338 337 117 105 98 75 1.2k
Hang Lei China 11 370 1.1× 153 0.5× 162 1.4× 121 1.2× 63 0.6× 68 1.4k
Belal Abuhaija China 9 362 1.1× 182 0.5× 150 1.3× 61 0.6× 72 0.7× 24 1.3k
Amel Ali Alhussan Saudi Arabia 24 536 1.6× 201 0.6× 227 1.9× 71 0.7× 151 1.5× 120 1.5k
Hua Zuo Australia 12 833 2.5× 364 1.1× 78 0.7× 29 0.3× 62 0.6× 36 1.4k
Vahid Behbood Australia 11 671 2.0× 246 0.7× 73 0.6× 33 0.3× 51 0.5× 20 1.3k
Xudong Sun China 16 359 1.1× 618 1.8× 169 1.4× 105 1.0× 52 0.5× 63 1.7k
Mahdi Eftekhari Iran 23 590 1.7× 259 0.8× 101 0.9× 52 0.5× 41 0.4× 135 1.5k
Olga Valenzuela Spain 18 462 1.4× 163 0.5× 157 1.3× 53 0.5× 60 0.6× 84 1.1k
Maria Presa Reyes United States 7 426 1.3× 256 0.8× 98 0.8× 42 0.4× 80 0.8× 7 1.0k

Countries citing papers authored by Sankhadeep Chatterjee

Since Specialization
Citations

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

Fields of papers citing papers by Sankhadeep Chatterjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sankhadeep Chatterjee

This figure shows the co-authorship network connecting the top 25 collaborators of Sankhadeep Chatterjee. A scholar is included among the top collaborators of Sankhadeep Chatterjee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sankhadeep Chatterjee. Sankhadeep Chatterjee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Mandal, Bappaditya, et al.. (2024). Microwave Antenna-Assisted Machine Learning: A Paradigm Shift in Non-Invasive Brain Hemorrhage Detection. IEEE Access. 12. 37179–37191. 7 indexed citations
2.
Chatterjee, Sankhadeep, et al.. (2024). FedAR: Federated Artificial Resampling for Imbalanced Facial Emotion Recognition. IEEE Transactions on Affective Computing. 16(3). 1461–1472.
3.
Chatterjee, Sankhadeep, et al.. (2024). Imbalanced COVID-19 vaccine sentiment classification with synthetic resampling coupled deep adversarial active learning. Machine Learning. 113(10). 8027–8059. 1 indexed citations
4.
Chatterjee, Sankhadeep, et al.. (2024). Modelling and optimization of thermal conductivity for MWCNT-SiO2(20:80)/hydraulic oil-based hybrid nanolubricants using ANN and RSM. Journal of Thermal Analysis and Calorimetry. 150(1). 607–626. 2 indexed citations
5.
Chatterjee, Sankhadeep, et al.. (2023). Correction to: Class-biased sarcasm detection using BiLSTM variational autoencoder-based synthetic oversampling. Soft Computing. 27(9). 5621–5621. 1 indexed citations
6.
Chatterjee, Sankhadeep, et al.. (2022). Forecasting COVID-19 Outbreak Through Fusion of Internet Search, Social Media, and Air Quality Data: A Retrospective Study in Indian Context. IEEE Transactions on Computational Social Systems. 10(3). 1017–1028. 6 indexed citations
7.
Chatterjee, Sankhadeep, et al.. (2022). Variational Autoencoder Based Imbalanced COVID-19 Detection Using Chest X-Ray Images. New Generation Computing. 41(1). 25–60. 11 indexed citations
8.
Ghosh, Kushankur, et al.. (2021). FOFO: Fused Oversampling Framework by addressing Outliers. 238–242. 4 indexed citations
9.
10.
Ghosh, Kushankur, et al.. (2019). Imbalanced Twitter Sentiment Analysis using Minority Oversampling. 1–5. 21 indexed citations
11.
12.
Chatterjee, Sankhadeep, Sarbartha Sarkar, Sirshendu Hore, et al.. (2017). Structural failure classification for reinforced concrete buildings using trained neural network based multi-objective genetic algorithm. STRUCTURAL ENGINEERING AND MECHANICS. 63(4). 429–438. 35 indexed citations
13.
Chakraborty, Shouvik, Sankhadeep Chatterjee, Nilanjan Dey, et al.. (2017). Modified cuckoo search algorithm in microscopic image segmentation of hippocampus. Microscopy Research and Technique. 80(10). 1051–1072. 63 indexed citations
14.
Banerjee, Soumen, Biswarup Rana, Susanta Kumar Parui, Sankhadeep Chatterjee, & Nilanjan Dey. (2017). HMSIW-Based Miniaturized Sensing Antennas for S- and C-Band Applications. IEEE Sensors Letters. 1(1). 1–5. 15 indexed citations
15.
Chatterjee, Sankhadeep, et al.. (2015). Counting all possible simple paths using Artificial Cell division mechanism for directed acyclic graphs. International Conference on Computing for Sustainable Global Development. 1874–1879. 15 indexed citations
16.
Chatterjee, Sankhadeep, et al.. (2015). A quality prediction method for weight lifting activity. 95 (8 .)–95 (8 .). 17 indexed citations
17.
Chatterjee, Sankhadeep, et al.. (2014). A Comparative Study On The Performance CharacteristicsOf Sudoku Solving Algorithms. IOSR Journal of Computer Engineering. 16(5). 69–77. 12 indexed citations
18.
Chatterjee, Sankhadeep & Debarshi Banerjee. (2014). A Novel Boolean Expression based Algorithm to find all possible Simple Paths between two nodes of a Graph. International Journal of Advanced Research in Computer Science. 5(7). 158–161. 16 indexed citations
19.
Chatterjee, Sankhadeep, et al.. (2014). An Optimized Algorithm for Solving Combinatorial Problems using Reference Graph. IOSR Journal of Computer Engineering. 16(3). 1–7. 2 indexed citations
20.
Chatterjee, Sankhadeep, Ranjeev Misra, & Shariful Alam. (1997). Prediction of software reliability using an auto regressive process. International Journal of Systems Science. 28(2). 211–216. 15 indexed citations

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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