Uzzal Kumar Acharjee

860 total citations
41 papers, 488 citations indexed

About

Uzzal Kumar Acharjee is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Uzzal Kumar Acharjee has authored 41 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 6 papers in Molecular Biology and 6 papers in Information Systems. Recurrent topics in Uzzal Kumar Acharjee's work include Computational Drug Discovery Methods (5 papers), AI in cancer detection (5 papers) and COVID-19 diagnosis using AI (4 papers). Uzzal Kumar Acharjee is often cited by papers focused on Computational Drug Discovery Methods (5 papers), AI in cancer detection (5 papers) and COVID-19 diagnosis using AI (4 papers). Uzzal Kumar Acharjee collaborates with scholars based in Bangladesh, Australia and Saudi Arabia. Uzzal Kumar Acharjee's co-authors include Md. Ashraf Uddin, Md. Manowarul Islam, Selina Sharmin, Mehdi Sookhak, Anichur Rahman, Md. Jahidul Islam, Md. Razaul Karim, Shahab S. Band, Md. Alamin Talukder and Mostofa Kamal Nasir and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Uzzal Kumar Acharjee

37 papers receiving 471 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Uzzal Kumar Acharjee Bangladesh 13 159 111 105 56 50 41 488
Young-Seob Jeong South Korea 14 230 1.4× 60 0.5× 79 0.8× 74 1.3× 16 0.3× 63 571
Amjad Ali Pakistan 13 300 1.9× 75 0.7× 193 1.8× 98 1.8× 75 1.5× 40 717
Garima Verma India 13 140 0.9× 95 0.9× 176 1.7× 13 0.2× 21 0.4× 63 485
Lin Ye China 11 218 1.4× 201 1.8× 287 2.7× 34 0.6× 7 0.1× 65 608
Wenjing Xiao China 13 94 0.6× 97 0.9× 64 0.6× 13 0.2× 17 0.3× 35 403
Renqian Luo China 7 408 2.6× 181 1.6× 59 0.6× 28 0.5× 72 1.4× 10 799
Xiaoqing Wang China 10 54 0.3× 49 0.4× 27 0.3× 31 0.6× 10 0.2× 54 630
Vishan Kumar Gupta India 13 110 0.7× 37 0.3× 68 0.6× 17 0.3× 69 1.4× 67 466
Shen Wang China 13 163 1.0× 177 1.6× 106 1.0× 24 0.4× 30 0.6× 29 633
Sunil Kumar Gupta India 14 118 0.7× 145 1.3× 142 1.4× 119 2.1× 43 0.9× 80 632

Countries citing papers authored by Uzzal Kumar Acharjee

Since Specialization
Citations

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

Fields of papers citing papers by Uzzal Kumar Acharjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Uzzal Kumar Acharjee

This figure shows the co-authorship network connecting the top 25 collaborators of Uzzal Kumar Acharjee. A scholar is included among the top collaborators of Uzzal Kumar Acharjee 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 Uzzal Kumar Acharjee. Uzzal Kumar Acharjee 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.
Acharjee, Uzzal Kumar, et al.. (2025). In-silico analysis of deleterious non-synonymous SNPs in the human AVPR1a gene linked to autism. BMC Genomics. 26(1). 492–492.
2.
Talukder, Md. Alamin, Md. Manowarul Islam, Md. Ashraf Uddin, et al.. (2025). A deep ensemble learning framework for brain tumor classification using data balancing and fine-tuning. Scientific Reports. 15(1). 35251–35251.
3.
Khalekuzzaman, Md, Uzzal Kumar Acharjee, Yousef A. Bin Jardan, et al.. (2024). Evaluation of Adenanthera pavonina-derived compounds against diabetes mellitus: insight into the phytochemical analysis and in silico assays. Frontiers in Molecular Biosciences. 10. 1278701–1278701. 2 indexed citations
4.
Talukder, Md. Alamin, et al.. (2024). Securing transactions: a hybrid dependable ensemble machine learning model using IHT-LR and grid search. Cybersecurity. 7(1). 15 indexed citations
5.
6.
Akhter, Arnisha, Uzzal Kumar Acharjee, Md. Alamin Talukder, Md. Manowarul Islam, & Md. Ashraf Uddin. (2023). A robust hybrid machine learning model for Bengali cyber bullying detection in social media. 4. 100027–100027. 38 indexed citations
7.
Akash, Shopnil, Uzzal Kumar Acharjee, Abdel‐Rhman Z. Gaafar, et al.. (2023). Mechanistic insight of Staphylococcus aureus associated skin cancer in humans by Santalum album derived phytochemicals: an extensive computational and experimental approaches. Frontiers in Chemistry. 11. 1273408–1273408. 7 indexed citations
8.
Shimu, Mst. Sharmin Sultana, Gobindo Kumar Paul, Amit Kumar Dutta, et al.. (2023). Biochemical and molecular docking-based strategies of Acalypha indica and Boerhavia diffusa extract by targeting bacterial strains and cancer proteins. Journal of Biomolecular Structure and Dynamics. 43(7). 3330–3347. 2 indexed citations
9.
Acharjee, Uzzal Kumar, et al.. (2023). MRI-based Brain Tumor Image Classification Using CNN. Asian Journal of Research in Computer Science. 1–10. 2 indexed citations
10.
Khalekuzzaman, Md, et al.. (2023). Molecular docking and dynamics simulation approach of Camellia sinensis leaf extract derived compounds as potential cholinesterase inhibitors. In Silico Pharmacology. 11(1). 14–14. 12 indexed citations
11.
Khan, Alam, et al.. (2023). Detection of heavy metals from Harpadon nehereus, Channa punctata and Pampus chinensis dried fishes and toxicity study of Channa punctata on embryonic zebrafish. Journal of King Saud University - Science. 35(10). 102963–102963. 2 indexed citations
12.
Acharjee, Uzzal Kumar, et al.. (2022). Sequence-to-Sequence Learning-Based Conversion of Pseudo-Code to Source Code Using Neural Translation Approach. IEEE Access. 10. 26730–26742. 3 indexed citations
13.
Shimu, Mst. Sharmin Sultana, Shafi Mahmud, Trina Ekawati Tallei, et al.. (2022). Phytochemical Compound Screening to Identify Novel Small Molecules against Dengue Virus: A Docking and Dynamics Study. Molecules. 27(3). 653–653. 23 indexed citations
14.
Uddin, Md. Ashraf, et al.. (2022). Deep viewing for the identification of Covid-19 infection status from chest X-Ray image using CNN based architecture. Intelligent Systems with Applications. 16. 200130–200130. 17 indexed citations
15.
Islam, Md. Jahidul, Anichur Rahman, Md. Razaul Karim, et al.. (2021). Blockchain-SDN-Based Energy-Aware and Distributed Secure Architecture for IoT in Smart Cities. IEEE Internet of Things Journal. 9(5). 3850–3864. 95 indexed citations
16.
Billah, Mu’tasim, et al.. (2020). Investigation of mechanisms involved in seed germination enhancement, enzymatic activity and seedling growth of rice (Oryza Sativa L.) using LPDBD (Ar+Air) plasma. Archives of Biochemistry and Biophysics. 698. 108726–108726. 18 indexed citations
17.
Acharjee, Uzzal Kumar, et al.. (2019). Human Detection Based on HOG-LBP for Monitoring Sterile Zone. 1–6. 2 indexed citations
18.
Acharjee, Uzzal Kumar, et al.. (2017). Isolation and characterization of Pseudomonas syringae pv. lachrymans from angular leaf spot disease of cucumber (Cucumis sativus L.) and evaluation of its antibiotic sensitivity. Journal of Pharmacognosy and Phytochemistry. 6(6). 233–238. 1 indexed citations
19.
Islam, Md. Samiul, et al.. (2017). Isolation and characterization of bacterial spot disease of citrus through biochemical approaches and its control measures. Journal of Pharmacognosy and Phytochemistry. 6(5). 2418–2422. 2 indexed citations
20.
Miah, M. Idrish, et al.. (2014). Optical limiting and its mechanism in potash alum. Optik. 125(22). 6727–6729. 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 Young-Seob Jeong Breakdown of academic impact, for papers by Amjad Ali Breakdown of academic impact, for papers by Garima Verma Breakdown of academic impact, for papers by Lin Ye Breakdown of academic impact, for papers by Wenjing Xiao Breakdown of academic impact, for papers by Renqian Luo Breakdown of academic impact, for papers by Xiaoqing Wang Breakdown of academic impact, for papers by Vishan Kumar Gupta Breakdown of academic impact, for papers by Shen Wang Breakdown of academic impact, for papers by Sunil Kumar Gupta
Rankless by CCL
2026