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Md Asifur Rahman

ResearcherPublications, citations & collaboration network

Md Asifur Rahman is a researcher indexed in ScholarIQ from OpenAlex & ORCID.

How many works does Md Asifur Rahman have?

ScholarIQindexed works

Md Asifur Rahman has 23 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.

How many citations does Md Asifur Rahman have?

ScholarIQcitation count

Md Asifur Rahman has 126 citations in the OpenAlex counts ScholarIQ stores.

What is the h-index of Md Asifur Rahman?

ScholarIQh-index

Md Asifur Rahman has an h-index of 5 in OpenAlex.

What is the i10-index of Md Asifur Rahman?

ScholarIQi10-index

Md Asifur Rahman has an i10-index of 3 in OpenAlex.

What is the ORCID of Md Asifur Rahman?

ScholarIQorcid

The ORCID for Md Asifur Rahman is on the source record.

What is the OpenAlex record for Md Asifur Rahman?

ScholarIQopenalex

The OpenAlex for Md Asifur Rahman is on the source record.

What are the most-cited papers on Md Asifur Rahman?

ScholarIQmost cited works
A Pharmacological and Phytochemical Evaluation of Medicinal Plants Used by the Harbang Clan of the Tripura Tribal Community of Mirsharai Area, Chittagong District, Bangladesh
Mohammed Rahmatullah, Md Asifur Rahman, Md Shahadat Hossan, M. Taufiq-ur-Rahman, Rownak Jahan, Md. Ariful Haque Mollik
The Journal of Alternative and Complementary Medicine. 201042 Citations
Plant Disease Detection Based on YOLOv3 and YOLOv4
Apu Shill, Md Asifur Rahman
2021 International Conference on Automation, Control and Mechatronics for Industry 4.0 (ACMI). 202136 Citations
Augmented Reality for Learning Calculus: A Research Framework of Interactive Learning System
Md Asifur Rahman, Lew Sook Ling, Ooi Shih Yin
Lecture notes in electrical engineering. 201915 Citations
An adaptive background modeling based on modified running Gaussian average method
Md Asifur Rahman, Boshir Ahmed, Md. Ali Hossian, Md. Nazrul Islam Mondal
20179 Citations
A novel policy-graph approach with natural language and counterfactual abstractions for explaining reinforcement learning agents
Tongtong Liu, Joe McCalmon, Thai Le, Md Asifur Rahman, Dongwon Lee, Sarra Alqahtani
Autonomous Agents and Multi-Agent Systems. 20235 Citations

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