Asit Kumar Das

2.5k total citations
94 papers, 1.4k citations indexed

About

Asit Kumar Das is a scholar working on Artificial Intelligence, Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, Asit Kumar Das has authored 94 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Artificial Intelligence, 31 papers in Information Systems and 26 papers in Computational Theory and Mathematics. Recurrent topics in Asit Kumar Das's work include Data Mining Algorithms and Applications (20 papers), Rough Sets and Fuzzy Logic (16 papers) and Complex Network Analysis Techniques (12 papers). Asit Kumar Das is often cited by papers focused on Data Mining Algorithms and Applications (20 papers), Rough Sets and Fuzzy Logic (16 papers) and Complex Network Analysis Techniques (12 papers). Asit Kumar Das collaborates with scholars based in India, Italy and China. Asit Kumar Das's co-authors include Arka Ghosh, Jaya Sil, Santanu Phadikar, Janmenjoy Nayak, Priyanka Das, Swagatam Das, Siddhartha Bhattacharyya, Danilo Pelusi, Rammohan Mallipeddi and Weiping Ding and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Pattern Recognition.

In The Last Decade

Asit Kumar Das

87 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Asit Kumar Das India 21 744 278 223 215 167 94 1.4k
Fan Cheng China 19 884 1.2× 739 2.7× 137 0.6× 109 0.5× 70 0.4× 67 1.5k
Nicolás García‐Pedrajas Spain 28 1.7k 2.2× 293 1.1× 214 1.0× 515 2.4× 53 0.3× 93 2.4k
Andronicus A. Akinyelu South Africa 12 671 0.9× 119 0.4× 236 1.1× 198 0.9× 43 0.3× 25 1.3k
Mohammad Tubishat Jordan 16 1.1k 1.4× 267 1.0× 124 0.6× 244 1.1× 31 0.2× 35 1.5k
De Rosal Ignatius Moses Setiadi Indonesia 27 931 1.3× 103 0.4× 401 1.8× 1.8k 8.4× 149 0.9× 222 2.9k
Pramod Kumar Singh India 18 573 0.8× 138 0.5× 215 1.0× 182 0.8× 23 0.1× 62 948
Khushnood Abbas China 9 471 0.6× 50 0.2× 142 0.6× 246 1.1× 54 0.3× 21 1.4k
Rui Zhou China 24 704 0.9× 108 0.4× 352 1.6× 252 1.2× 117 0.7× 136 1.8k
Amr Badr Egypt 14 365 0.5× 73 0.3× 54 0.2× 135 0.6× 131 0.8× 70 1.0k

Countries citing papers authored by Asit Kumar Das

Since Specialization
Citations

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

Fields of papers citing papers by Asit Kumar Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Asit Kumar Das. 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 Asit Kumar Das. The network helps show where Asit Kumar Das may publish in the future.

Co-authorship network of co-authors of Asit Kumar Das

This figure shows the co-authorship network connecting the top 25 collaborators of Asit Kumar Das. A scholar is included among the top collaborators of Asit Kumar Das 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 Asit Kumar Das. Asit Kumar Das 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.
Das, Asit Kumar, et al.. (2025). Modified Binary Particle Swarm Optimization Based Deep Hybrid Framework for Sentiment Analysis. International Journal of Information Technology & Decision Making. 25(1). 475–502.
2.
Sengupta, Souvik, et al.. (2025). Personalized Learning Path Recommendation using Graph Reinforcement Learning. Procedia Computer Science. 258. 3480–3489.
3.
Chatterjee, Sankhadeep, et al.. (2024). FedAR: Federated Artificial Resampling for Imbalanced Facial Emotion Recognition. IEEE Transactions on Affective Computing. 16(3). 1461–1472.
4.
Das, Asit Kumar, et al.. (2024). Neighbour adjusted dispersive flies optimization based deep hybrid sentiment analysis framework. Multimedia Tools and Applications. 83(24). 64393–64416. 21 indexed citations
5.
Das, Asit Kumar, et al.. (2024). A Feature Ensemble Framework for Stock Market Forecasting Using Technical Analysis and Aquila Optimizer. IEEE Access. 12. 187899–187918. 1 indexed citations
6.
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
7.
Das, A.K., et al.. (2024). Dual-active Hf(iv)–organic framework for the detection of FOX-7 and as a heterogeneous catalyst for Knoevenagel condensation. New Journal of Chemistry. 48(42). 18249–18260. 10 indexed citations
8.
Das, Asit Kumar, et al.. (2023). Modified term frequency-inverse document frequency based deep hybrid framework for sentiment analysis. Multimedia Tools and Applications. 82(21). 32967–32990. 42 indexed citations
9.
Das, Asit Kumar, et al.. (2023). Rough-Fuzzy Based Synthetic Data Generation Exploring Boundary Region of Rough Sets to Handle Class Imbalance Problem. Axioms. 12(4). 345–345. 2 indexed citations
10.
Das, Asit Kumar, et al.. (2023). An Effective Fuzzy Clustering of Crime Reports Embedded by a Universal Sentence Encoder Model. Mathematics. 11(3). 611–611. 4 indexed citations
11.
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
12.
Das, Asit Kumar, et al.. (2023). Graph based fuzzy clustering algorithm for crime report labelling. Applied Soft Computing. 141. 110261–110261.
13.
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
14.
Das, Asit Kumar, et al.. (2020). Graph based feature selection investigating boundary region of rough set for language identification. Expert Systems with Applications. 158. 113575–113575. 18 indexed citations
15.
Das, Asit Kumar, et al.. (2020). Computational Intelligence in Pattern Recognition. Advances in intelligent systems and computing. 2 indexed citations
16.
Das, Priyanka, Asit Kumar Das, Janmenjoy Nayak, Danilo Pelusi, & Weiping Ding. (2019). Group incremental adaptive clustering based on neural network and rough set theory for crime report categorization. Neurocomputing. 459. 465–480. 11 indexed citations
17.
Das, Priyanka, Asit Kumar Das, Janmenjoy Nayak, Danilo Pelusi, & Weiping Ding. (2019). A Graph Based Clustering Approach for Relation Extraction From Crime Data. IEEE Access. 7. 101269–101282. 15 indexed citations
18.
Das, Priyanka, Asit Kumar Das, Janmenjoy Nayak, & Danilo Pelusi. (2019). A framework for crime data analysis using relationship among named entities. Neural Computing and Applications. 32(12). 7671–7689. 8 indexed citations
19.
Das, Asit Kumar, et al.. (2017). Ensemble feature selection using bi-objective genetic algorithm. Knowledge-Based Systems. 123. 116–127. 128 indexed citations
20.
Phadikar, Santanu, et al.. (2011). FEATURE SELECTION BY ATTRIBUTE CLUSTERING OF INFECTED RICE PLANT IMAGES. 3(2). 74–88. 5 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Fan Cheng Breakdown of academic impact, for papers by Nicolás García‐Pedrajas Breakdown of academic impact, for papers by Andronicus A. Akinyelu Breakdown of academic impact, for papers by Mohammad Tubishat Breakdown of academic impact, for papers by De Rosal Ignatius Moses Setiadi Breakdown of academic impact, for papers by Pramod Kumar Singh Breakdown of academic impact, for papers by Khushnood Abbas Breakdown of academic impact, for papers by Rui Zhou Breakdown of academic impact, for papers by Amr Badr
Rankless by CCL
2026