Anik Barua

545 total citations
13 papers, 265 citations indexed

About

Anik Barua is a scholar working on Computer Vision and Pattern Recognition, Complementary and alternative medicine and Pharmacology. According to data from OpenAlex, Anik Barua has authored 13 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Complementary and alternative medicine and 2 papers in Pharmacology. Recurrent topics in Anik Barua's work include ECG Monitoring and Analysis (2 papers), Phytochemicals and Medicinal Plants (2 papers) and Fungal Biology and Applications (2 papers). Anik Barua is often cited by papers focused on ECG Monitoring and Analysis (2 papers), Phytochemicals and Medicinal Plants (2 papers) and Fungal Biology and Applications (2 papers). Anik Barua collaborates with scholars based in Bangladesh, United Kingdom and Sweden. Anik Barua's co-authors include Tanjim Mahmud, Dilshad Islam, Koushick Barua, Karl Andersson, Nahed Sharmen, Mohammad Shahadat Hossain, Nanziba Basnin, S. M. Moazzem Hossen, Nazim Uddin Emon and Mohammad Tarek Aziz and has published in prestigious journals such as Computational Intelligence and Neuroscience, Food Science & Nutrition and Biochemistry and Biophysics Reports.

In The Last Decade

Anik Barua

12 papers receiving 263 citations

Peers

Anik Barua

AI

PS

SP

IS

HIM

Israt Jahan Bangladesh

Pradeep Kumar Kushwaha India

Md. Al-Amin Bangladesh

S. Sai Satyanarayana Reddy India

Shilpa Sharma India

Anjali Goyal India

Tajul Islam Bangladesh

Abdul Aziz Bangladesh

S. Nandhini India

Israt Jahan Bangladesh

Anik Barua

76 ×1.2

AI

50 ×0.9

PS

13 ×0.5

SP

40 ×1.5

IS

11 ×0.4

HIM

Citations per year, relative to Anik Barua Anik Barua (= 1×) peers Israt Jahan

Countries citing papers authored by Anik Barua

Since Specialization

Citations

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

Fields of papers citing papers by Anik Barua

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anik Barua

This figure shows the co-authorship network connecting the top 25 collaborators of Anik Barua. A scholar is included among the top collaborators of Anik Barua 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 Anik Barua. Anik Barua 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.

Mahmud, Tanjim, et al.. (2023). Deep Transfer Learning‐Based Foot No‐Ball Detection in Live Cricket Match. Computational Intelligence and Neuroscience. 2023(1). 2398121–2398121. 49 indexed citations

2.

Barua, Koushick, Tanjim Mahmud, Anik Barua, et al.. (2023). Explainable AI-Based Humerus Fracture Detection and Classification from X-Ray Images. 1–6. 32 indexed citations

3.

Mahmud, Tanjim, Koushick Barua, Anik Barua, et al.. (2023). Explainable AI for Tomato Leaf Disease Detection: Insights into Model Interpretability. 1–6. 26 indexed citations

4.

Mahmud, Tanjim, et al.. (2023). An Improved Framework for Reliable Cardiovascular Disease Prediction Using Hybrid Ensemble Learning. 1–6. 47 indexed citations

5.

Mahmud, Tanjim, Anik Barua, Dilshad Islam, et al.. (2023). Ensemble Deep Learning Approach for ECG-Based Cardiac Disease Detection: Signal and Image Analysis. 70–74. 37 indexed citations

6.

Mahmud, Tanjim, et al.. (2023). Design and Implementation of an Ultrasonic Sensor-Based Obstacle Avoidance System for Arduino Robots. 264–268. 17 indexed citations

7.

Hossen, S. M. Moazzem, et al.. (2021). CNS anti-depressant, anxiolytic and analgesic effects of Ganoderma applanatum (mushroom) along with ligand-receptor binding screening provide new insights: Multi-disciplinary approaches. Biochemistry and Biophysics Reports. 27. 101062–101062. 25 indexed citations

8.

Barua, Anik, et al.. (2021). Ganoderma applanatum mushroom provides new insights into the management of diabetes mellitus, hyperlipidemia, and hepatic degeneration: A comprehensive analysis. Food Science & Nutrition. 9(8). 4364–4374. 15 indexed citations

9.

Barua, Anik, et al.. (2019). Isolation and Characterization of Mucilage from Tinospora cordifolia as Tablet Binder and Release Modifier. Tropical Journal of Natural Product Research. 3(1). 1–5. 1 indexed citations

10.

Barua, Anik, et al.. (2019). In vivo Sedative and Anxiolytic Potential in Mice for Methanolic Extract of Tinospora cordifolia. Trends in Applied Sciences Research. 14(3). 193–198. 3 indexed citations

11.

Barua, Anik, et al.. (2015). Pixel Based Off-line Signature Verification System.

12.

Barua, Anik, et al.. (2014). Embedded Systems: Security Threats and Solutions. 1 indexed citations

13.

Barua, Anik, et al.. (2011). Evaluation of antimicrobial and cytotoxic properties of Leucas aspera and Spilanthes paniculata. International Journal of Biosciences. 1(2). 7–16. 12 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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