Pradip Dhal

643 total citations · 1 hit paper
13 papers, 386 citations indexed

About

Pradip Dhal is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Pradip Dhal has authored 13 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 4 papers in Information Systems and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Pradip Dhal's work include Text and Document Classification Technologies (6 papers), Metaheuristic Optimization Algorithms Research (4 papers) and Spam and Phishing Detection (3 papers). Pradip Dhal is often cited by papers focused on Text and Document Classification Technologies (6 papers), Metaheuristic Optimization Algorithms Research (4 papers) and Spam and Phishing Detection (3 papers). Pradip Dhal collaborates with scholars based in India, Italy and Saudi Arabia. Pradip Dhal's co-authors include Chandrashekhar Azad, Diptendu Sinha Roy, Ugo Fiore and Debahuti Mishra and has published in prestigious journals such as Applied Soft Computing, Information Fusion and Neural Computing and Applications.

In The Last Decade

Pradip Dhal

13 papers receiving 380 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A comprehensive survey on feature selection in the various fields of machine learning

2021 273 citations Pradip Dhal, Chandrashekhar Azad Applied Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pradip Dhal India	7	194	75	51	39	35	13	386
Chandrashekhar Azad India	8	206 1.1×	76 1.0×	51 1.0×	49 1.3×	36 1.0×	30	461
Mohammed Eshtay Jordan	9	262 1.4×	57 0.8×	72 1.4×	32 0.8×	68 1.9×	15	394
Yangguang Liu China	11	220 1.1×	96 1.3×	52 1.0×	47 1.2×	43 1.2×	52	468
Adel Assiri Saudi Arabia	10	358 1.8×	39 0.5×	53 1.0×	45 1.2×	46 1.3×	19	537
M. A. Makhlouf Egypt	8	206 1.1×	75 1.0×	21 0.4×	31 0.8×	26 0.7×	18	372
Mingxing Duan China	9	159 0.8×	81 1.1×	61 1.2×	22 0.6×	67 1.9×	18	350
Ayça Deniz Türkiye	8	303 1.6×	87 1.2×	29 0.6×	21 0.5×	33 0.9×	15	436
Harun Bingöl Türkiye	10	204 1.1×	63 0.8×	26 0.5×	25 0.6×	28 0.8×	24	367
Jesús Maillo Spain	8	325 1.7×	81 1.1×	100 2.0×	51 1.3×	38 1.1×	10	561

Countries citing papers authored by Pradip Dhal

Since Specialization

Citations

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

Fields of papers citing papers by Pradip Dhal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pradip Dhal

This figure shows the co-authorship network connecting the top 25 collaborators of Pradip Dhal. A scholar is included among the top collaborators of Pradip Dhal 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 Pradip Dhal. Pradip Dhal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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13 of 13 papers shown

1.

Dhal, Pradip, et al.. (2025). A clinical diabetes prediction based support system based on the multi-objective metaheuristic inspired fine tuning deep network. Information Fusion. 122. 103188–103188. 1 indexed citations

2.

Dhal, Pradip, et al.. (2025). A deep ensemble-based framework for the prediction of oral cancer through histopathological images. Applied Soft Computing. 179. 113258–113258. 1 indexed citations

3.

Dhal, Pradip & Chandrashekhar Azad. (2024). Zone Oriented Binary Multi‐Objective Charged System Search Based Feature Selection Approach for Multi‐Label Classification. Expert Systems. 42(2). 3 indexed citations

4.

Dhal, Pradip, et al.. (2023). Stacked Layer Based Deep Learning Approach for Fake News Classification. 3. 1–5. 1 indexed citations

5.

Dhal, Pradip & Chandrashekhar Azad. (2023). Hybrid momentum accelerated bat algorithm with GWO based optimization approach for spam classification. Multimedia Tools and Applications. 83(9). 26929–26969. 7 indexed citations

6.

Dhal, Pradip & Chandrashekhar Azad. (2023). A fine-tuning deep learning with multi-objective-based feature selection approach for the classification of text. Neural Computing and Applications. 36(7). 3525–3553. 12 indexed citations

7.

Dhal, Pradip & Chandrashekhar Azad. (2022). A lightweight filter based feature selection approach for multi-label text classification. Journal of Ambient Intelligence and Humanized Computing. 14(9). 12345–12357. 14 indexed citations

8.

Dhal, Pradip & Chandrashekhar Azad. (2022). A multi-stage multi-objective GWO based feature selection approach for multi-label text classification. 2022 2nd International Conference on Intelligent Technologies (CONIT). 1–5. 3 indexed citations

9.

Dhal, Pradip & Chandrashekhar Azad. (2022). A multi-objective evolutionary feature selection approach for the classification of multi-label data. 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE). 1986–1989. 5 indexed citations

10.

Dhal, Pradip & Chandrashekhar Azad. (2022). A deep learning and multi-objective PSO with GWO based feature selection approach for text classification. 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE). 7 indexed citations

11.

Dhal, Pradip & Chandrashekhar Azad. (2021). A comprehensive survey on feature selection in the various fields of machine learning. Applied Intelligence. 52(4). 4543–4581. 273 indexed citations breakdown →

12.

Dhal, Pradip & Chandrashekhar Azad. (2021). A multi-objective feature selection method using Newton’s law based PSO with GWO. Applied Soft Computing. 107. 107394–107394. 52 indexed citations

13.

Dhal, Pradip & Chandrashekhar Azad. (2020). A novel approach for blood vessel segmentation with exudate detection in diabetic retinopathy. 1–6. 7 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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