Amanullah Asraf

928 total citations · 1 hit paper
4 papers, 553 citations indexed

About

Amanullah Asraf is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Health Information Management. According to data from OpenAlex, Amanullah Asraf has authored 4 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Artificial Intelligence and 1 paper in Health Information Management. Recurrent topics in Amanullah Asraf's work include COVID-19 diagnosis using AI (4 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and AI in cancer detection (2 papers). Amanullah Asraf is often cited by papers focused on COVID-19 diagnosis using AI (4 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and AI in cancer detection (2 papers). Amanullah Asraf collaborates with scholars based in Bangladesh, Sweden and Saudi Arabia. Amanullah Asraf's co-authors include Md. Zabirul Islam, Md. Milon Islam, Md. Rezwanul Haque, Mabrook Al‐Rakhami, Weiping Ding and Ali Hassan Sodhro and has published in prestigious journals such as SHILAP Revista de lepidopterología, Informatics in Medicine Unlocked and SN Computer Science.

In The Last Decade

Amanullah Asraf

4 papers receiving 540 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.

A combined deep CNN-LSTM network for the detection of novel coronavirus (COVID-19) using X-ray images

2020 453 citations Md. Zabirul Islam, Md. Milon Islam et al. Informatics in Medicine Unlocked profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Amanullah Asraf Bangladesh	4	375	277	90	56	53	4	553
Md. Zabirul Islam Bangladesh	3	365 1.0×	271 1.0×	90 1.0×	54 1.0×	52 1.0×	5	545
Yadunath Pathak India	10	327 0.9×	294 1.1×	132 1.5×	62 1.1×	43 0.8×	19	619
Neha Gianchandani Canada	4	427 1.1×	317 1.1×	91 1.0×	79 1.4×	56 1.1×	5	549
He Sui China	7	327 0.9×	242 0.9×	88 1.0×	72 1.3×	39 0.7×	17	487
Rodolfo M. Pereira Brazil	7	310 0.8×	300 1.1×	75 0.8×	60 1.1×	48 0.9×	15	481
Tej Bahadur Chandra India	8	297 0.8×	184 0.7×	80 0.9×	36 0.6×	52 1.0×	18	425
Aras Masood Ismael Iraq	9	589 1.6×	405 1.5×	106 1.2×	79 1.4×	157 3.0×	12	844
Amit Kumar Jaiswal India	10	324 0.9×	271 1.0×	171 1.9×	23 0.4×	74 1.4×	33	733
Happy Nkanta Monday China	14	279 0.7×	252 0.9×	124 1.4×	17 0.3×	45 0.8×	49	606
Ziquan Zhu United Kingdom	10	240 0.6×	217 0.8×	171 1.9×	26 0.5×	41 0.8×	16	496

Countries citing papers authored by Amanullah Asraf

Since Specialization

Citations

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

Fields of papers citing papers by Amanullah Asraf

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amanullah Asraf

This figure shows the co-authorship network connecting the top 25 collaborators of Amanullah Asraf. A scholar is included among the top collaborators of Amanullah Asraf 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 Amanullah Asraf. Amanullah Asraf 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:

4 of 4 papers shown

1.

Islam, Md. Milon, Md. Zabirul Islam, Amanullah Asraf, et al.. (2022). Diagnosis of COVID-19 from X-rays using combined CNN-RNN architecture with transfer learning. SHILAP Revista de lepidopterología. 2(4). 100088–100088. 27 indexed citations

2.

Asraf, Amanullah. (2021). COVID19, Pneumonia and Normal Chest X-ray PA Dataset. Data Archiving and Networked Services (DANS). 1. 10 indexed citations

3.

Asraf, Amanullah, Md. Zabirul Islam, Md. Rezwanul Haque, & Md. Milon Islam. (2020). Deep Learning Applications to Combat Novel Coronavirus (COVID-19) Pandemic. SN Computer Science. 1(6). 363–363. 63 indexed citations

4.

Islam, Md. Zabirul, Md. Milon Islam, & Amanullah Asraf. (2020). A combined deep CNN-LSTM network for the detection of novel coronavirus (COVID-19) using X-ray images. Informatics in Medicine Unlocked. 20. 100412–100412. 453 indexed citations breakdown →

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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