Khan Md. Hasib

1.8k total citations · 1 hit paper
49 papers, 1.0k citations indexed

About

Khan Md. Hasib is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Khan Md. Hasib has authored 49 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Information Systems. Recurrent topics in Khan Md. Hasib's work include Sentiment Analysis and Opinion Mining (9 papers), Topic Modeling (7 papers) and Imbalanced Data Classification Techniques (7 papers). Khan Md. Hasib is often cited by papers focused on Sentiment Analysis and Opinion Mining (9 papers), Topic Modeling (7 papers) and Imbalanced Data Classification Techniques (7 papers). Khan Md. Hasib collaborates with scholars based in Bangladesh, Australia and United States. Khan Md. Hasib's co-authors include Asif Karim, Jubayer Al Mahmud, Sami Azam, M. F. Mridha, Pronab Ghosh, Md Rafiqul Islam, Faisal Muhammad Shah, Mirjam Jonkman, Mohammad Shafiul Alam and Md. Golam Rabiul Alam and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Khan Md. Hasib

47 papers receiving 997 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.

AlzheimerNet: An Effective Deep Learning Based Proposition for Alzheimer’s Disease Stages Classification From Functional Brain Changes in Magnetic Resonance Images

2023 101 citations F. M. Javed Mehedi Shamrat, Sami Azam et al. profile →

Peers

Khan Md. Hasib

AI

NEURO

CVPR

RNMI

HIM

Satvik Vats India

T R Mahesh India

Abu Sarwar Zamani Saudi Arabia

Md. Mohsin Kabir Bangladesh

Sarita Simaiya India

V. Muneeswaran India

V. Vinoth Kumar India

Mosleh Hmoud Al-Adhaileh Saudi Arabia

Jagendra Singh India

Sujatha Krishnamoorthy China

Satvik Vats India

Khan Md. Hasib

329 ×0.6

AI

88 ×0.6

NEURO

144 ×1.1

CVPR

162 ×1.3

RNMI

71 ×0.6

HIM

Citations per year, relative to Khan Md. Hasib Khan Md. Hasib (= 1×) peers Satvik Vats

Countries citing papers authored by Khan Md. Hasib

Since Specialization

Citations

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

Fields of papers citing papers by Khan Md. Hasib

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Khan Md. Hasib

This figure shows the co-authorship network connecting the top 25 collaborators of Khan Md. Hasib. A scholar is included among the top collaborators of Khan Md. Hasib 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 Khan Md. Hasib. Khan Md. Hasib 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

1.

Hasib, Khan Md., et al.. (2024). Fusing global context with multiscale context for enhanced breast cancer classification. Scientific Reports. 14(1). 27358–27358. 10 indexed citations

2.

Hasib, Khan Md., et al.. (2024). GliomaCNN: An Effective Lightweight CNN Model in Assessment of Classifying Brain Tumor from Magnetic Resonance Images Using Explainable AI. Computer Modeling in Engineering & Sciences. 140(3). 2425–2448. 15 indexed citations

3.

Mehedi, Md Humaion Kabir, et al.. (2024). PLD-Det: plant leaf disease detection in real time using an end-to-end neural network approach based on improved YOLOv7. Neural Computing and Applications. 36(34). 21885–21898. 5 indexed citations

4.

Mehedi, Md Humaion Kabir, et al.. (2023). Early Autism Disorder Detection Through Visualizing Eye-Tracking Patterns Using Compact Convolutional Transformers. 109–114. 7 indexed citations

5.

Hasib, Khan Md., et al.. (2023). A Multi-modal Deep Learning Approach for Predicting Dhaka Stock Exchange. 879–885. 2 indexed citations

6.

Thapa, Surendrabikram, et al.. (2023). Assessing Political Inclination of Bangla Language Models. 62–71. 2 indexed citations

7.

Hasib, Khan Md., et al.. (2023). Strategies for enhancing the performance of news article classification in Bangla: Handling imbalance and interpretation. Engineering Applications of Artificial Intelligence. 125. 106688–106688. 46 indexed citations

8.

Hasib, Khan Md., Sami Azam, Asif Karim, et al.. (2023). A novel Data and Model Centric artificial intelligence based approach in developing high-performance Named Entity Recognition for Bengali Language. PLoS ONE. 18(9). e0287818–e0287818. 7 indexed citations

9.

Hasib, Khan Md., et al.. (2023). Bengali News Abstractive Summarization: T5 Transformer and Hybrid Approach. 21. 539–545. 3 indexed citations

10.

Azam, Sami, et al.. (2023). Dementia Prediction Using Machine Learning. Procedia Computer Science. 219. 1297–1308. 19 indexed citations

11.

Hasib, Khan Md., et al.. (2023). An Overview of Bengali Speech Recognition: Methods, Challenges, and Future Direction. 873–878. 3 indexed citations

12.

Ghosh, Pronab, Sami Azam, Asif Karim, et al.. (2022). SkinNet-16: A deep learning approach to identify benign and malignant skin lesions. Frontiers in Oncology. 12. 931141–931141. 37 indexed citations

13.

Montaha, Sidratul, Sami Azam, A. K. M. Rakibul Haque Rafid, et al.. (2022). MNet-10: A robust shallow convolutional neural network model performing ablation study on medical images assessing the effectiveness of applying optimal data augmentation technique. Frontiers in Medicine. 9. 924979–924979. 28 indexed citations

14.

Hasib, Khan Md., et al.. (2022). Comparison of Different Sentiment Analysis Techniques for Bangla Reviews. 288–293. 2 indexed citations

15.

Hasib, Khan Md., et al.. (2022). LFR Waiter: Arduino Based Android Application Controlled Waiter Robot. 1–6. 9 indexed citations

16.

Hasib, Khan Md., et al.. (2022). A Hybrid Method based on Machine Learning to Predict the Stock Prices in Bangladesh. 67–73. 6 indexed citations

17.

Hasib, Khan Md., et al.. (2022). Crash severity analysis and risk factors identification based on an alternate data source: a case study of developing country. Scientific Reports. 12(1). 21243–21243. 20 indexed citations

18.

Mahmud, Jubayer Al, et al.. (2021). Impact of Pedal Powered Vehicles on Average Traffic Speed in Dhaka City: A Cross-sectional Study Based on Road Class and Timestamp. 106. 1–6. 4 indexed citations

19.

Karim, Asif, et al.. (2021). A Comparative Study of Different Deep Learning Model for Recognition of Handwriting Digits. SSRN Electronic Journal. 17 indexed citations

20.

Hossain, Tonmoy, et al.. (2020). Graph Theory for Dimensionality Reduction: A Case Study to Prognosticate Parkinson's. 134–140. 6 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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