Md Abul Bashar

460 total citations
23 papers, 203 citations indexed

About

Md Abul Bashar is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Md Abul Bashar has authored 23 papers receiving a total of 203 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 5 papers in Information Systems and 3 papers in Computer Networks and Communications. Recurrent topics in Md Abul Bashar's work include Topic Modeling (7 papers), Advanced Text Analysis Techniques (4 papers) and Hate Speech and Cyberbullying Detection (4 papers). Md Abul Bashar is often cited by papers focused on Topic Modeling (7 papers), Advanced Text Analysis Techniques (4 papers) and Hate Speech and Cyberbullying Detection (4 papers). Md Abul Bashar collaborates with scholars based in Australia, China and Bangladesh. Md Abul Bashar's co-authors include Richi Nayak, Thirunavukarasu Balasubramaniam, Nicolas Suzor, Yuefeng Li, Yang Gao, Abby Cathcart, Raymond Y.K. Lau, Yue Xu, Mahinthan Chandramohan and Santosh Kumar Das and has published in prestigious journals such as BMC Bioinformatics, Pattern Recognition and Neural Networks.

In The Last Decade

Md Abul Bashar

21 papers receiving 198 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Md Abul Bashar Australia	7	112	58	29	13	12	23	203
Luis Talavera Spain	6	114 1.0×	60 1.0×	36 1.2×	9 0.7×	24 2.0×	8	174
Thibaut Thonet France	4	90 0.8×	66 1.1×	23 0.8×	9 0.7×	14 1.2×	7	174
Pengzhou Zhang China	9	151 1.3×	46 0.8×	53 1.8×	11 0.8×	22 1.8×	53	236
Shan Zhao China	7	180 1.6×	28 0.5×	22 0.8×	12 0.9×	2 0.2×	16	238
Yaochen Zhu China	8	131 1.2×	70 1.2×	85 2.9×	10 0.8×	19 1.6×	37	237
Soheila Molaei Iran	10	126 1.1×	34 0.6×	49 1.7×	29 2.2×	23 1.9×	19	236
Jingyun Xu China	9	302 2.7×	31 0.5×	53 1.8×	6 0.5×	9 0.8×	19	352
Jitao Sang China	9	97 0.9×	156 2.7×	47 1.6×	11 0.8×	38 3.2×	16	267
Minghao Hu China	11	404 3.6×	137 2.4×	65 2.2×	5 0.4×	6 0.5×	29	455

Countries citing papers authored by Md Abul Bashar

Since Specialization

Citations

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

Fields of papers citing papers by Md Abul Bashar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Md Abul Bashar. 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 Md Abul Bashar. The network helps show where Md Abul Bashar may publish in the future.

Co-authorship network of co-authors of Md Abul Bashar

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Bashar, Md Abul, et al.. (2025). A novel modality contribution confidence-enhanced multimodal deep learning framework for multiomics data. BMC Bioinformatics. 26(1). 271–271.

Bashar, Md Abul & Richi Nayak. (2025). ALGAN: Time Series Anomaly Detection with Adjusted-LSTM GAN. International Journal of Data Science and Analytics. 20(6). 5719–5737. 1 indexed citations

Bashar, Md Abul, et al.. (2024). A novel multi-modal fusion method based on uncertainty-guided meta-learning. Pattern Recognition. 158. 110993–110993. 3 indexed citations

Nayak, Richi, et al.. (2024). Pre-gating and contextual attention gate — A new fusion method for multi-modal data tasks. Neural Networks. 179. 106553–106553. 4 indexed citations

Bashar, Md Abul, et al.. (2023). Joint Representation Learning with Generative Adversarial Imputation Network for Improved Classification of Longitudinal Data. Data Science and Engineering. 9(1). 5–25. 4 indexed citations

Bashar, Md Abul, et al.. (2023). An Informed Neural Network for Discovering Historical Documentation Assisting the Repatriation of Indigenous Ancestral Human Remains. Social Science Computer Review. 41(6). 2293–2317. 1 indexed citations

Bashar, Md Abul, et al.. (2023). Exploring topic models to discern cyber threats on Twitter: A case study on Log4Shell. Intelligent Systems with Applications. 20. 200280–200280. 6 indexed citations

Bashar, Md Abul, et al.. (2023). Machine learning for predicting propensity-to-pay energy bills. Intelligent Systems with Applications. 17. 200176–200176. 4 indexed citations

Bashar, Md Abul, Richi Nayak, & Thirunavukarasu Balasubramaniam. (2022). Deep learning based topic and sentiment analysis: COVID19 information seeking on social media. Social Network Analysis and Mining. 12(1). 90–90. 6 indexed citations

10.

Bashar, Md Abul, et al.. (2021). Progressive domain adaptation for detecting hate speech on social media with small training set and its application to COVID-19 concerned posts. Social Network Analysis and Mining. 11(1). 69–69. 13 indexed citations

11.

Balasubramaniam, Thirunavukarasu, et al.. (2021). Identifying Covid-19 misinformation tweets and learning their spatio-temporal topic dynamics using Nonnegative Coupled Matrix Tensor Factorization. Social Network Analysis and Mining. 11(1). 57–57. 17 indexed citations

12.

Bashar, Md Abul & Richi Nayak. (2021). Active Learning for Effectively Fine-Tuning Transfer Learning to Downstream Task. ACM Transactions on Intelligent Systems and Technology. 12(2). 1–24. 12 indexed citations

13.

Bashar, Md Abul & Richi Nayak. (2020). QutNocturnal@HASOC'19: CNN for Hate Speech and Offensive Content Identification in Hindi Language. arXiv (Cornell University). 237–245. 6 indexed citations

14.

Bashar, Md Abul, Richi Nayak, & Nicolas Suzor. (2020). Regularising LSTM classifier by transfer learning for detecting misogynistic tweets with small training set. Knowledge and Information Systems. 62(10). 4029–4054. 23 indexed citations

15.

Gao, Yang, Yuefeng Li, Raymond Y.K. Lau, Yue Xu, & Md Abul Bashar. (2017). Finding Semantically Valid and Relevant Topics by Association-Based Topic Selection Model. ACM Transactions on Intelligent Systems and Technology. 9(1). 1–22. 11 indexed citations

16.

Bashar, Md Abul, Yuefeng Li, Yan Shen, Yang Gao, & Wei Huang. (2017). Conceptual annotation of text patterns. Computational Intelligence. 33(4). 948–979. 3 indexed citations

17.

Bashar, Md Abul, Yuefeng Li, & Yang Gao. (2016). A Framework for Automatic Personalised Ontology Learning. 105–112. 2 indexed citations

18.

Bashar, Md Abul, et al.. (2011). Localization of Digital Content for Use in Secondary Schools of Bangladesh.. 1 indexed citations

19.

Bashar, Md Abul, et al.. (2009). A Review and Prospects of Quantum Teleportation. 213–217. 6 indexed citations

20.

Bashar, Md Abul, et al.. (2008). Proposal for an efficient quantum key distribution system using entanglement. 481–485. 1 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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