Kh Tohidul Islam

692 total citations
22 papers, 427 citations indexed

About

Kh Tohidul Islam is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Media Technology. According to data from OpenAlex, Kh Tohidul Islam has authored 22 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 10 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Media Technology. Recurrent topics in Kh Tohidul Islam's work include Vehicle License Plate Recognition (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Advanced MRI Techniques and Applications (5 papers). Kh Tohidul Islam is often cited by papers focused on Vehicle License Plate Recognition (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Advanced MRI Techniques and Applications (5 papers). Kh Tohidul Islam collaborates with scholars based in Australia, Malaysia and Pakistan. Kh Tohidul Islam's co-authors include Ram Gopal Raj, Stephen O’Leary, Sudanthi Wijewickrema, Ghulam Mujtaba, Zhaolin Chen, Sergio Uribe, Guang Yang, Munawar Hayat, Henry Friday Nweke and Ravie Chandren Muniyandi and has published in prestigious journals such as Scientific Reports, Sensors and Medical Image Analysis.

In The Last Decade

Kh Tohidul Islam

21 papers receiving 412 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kh Tohidul Islam Australia	12	175	151	98	67	46	22	427
Lingling Fang China	13	257 1.5×	126 0.8×	129 1.3×	102 1.5×	38 0.8×	66	506
L. Jani Anbarasi India	13	208 1.2×	161 1.1×	165 1.7×	17 0.3×	25 0.5×	87	493
V. Seethalakshmi India	8	118 0.7×	142 0.9×	165 1.7×	19 0.3×	67 1.5×	22	472
Grace Ugochi Nneji China	14	118 0.7×	263 1.7×	236 2.4×	32 0.5×	24 0.5×	45	477
Osama A. Omer Egypt	12	160 0.9×	103 0.7×	123 1.3×	68 1.0×	90 2.0×	75	494
Abdolvahab Ehsani Rad Malaysia	8	243 1.4×	133 0.9×	157 1.6×	36 0.5×	120 2.6×	16	496
Hossein Kashiani United States	6	179 1.0×	103 0.7×	143 1.5×	29 0.4×	31 0.7×	16	347
Zhenjie Yao China	10	127 0.7×	69 0.5×	65 0.7×	45 0.7×	33 0.7×	35	374
Zeyu Ren United Kingdom	8	213 1.2×	186 1.2×	228 2.3×	45 0.7×	95 2.1×	14	566
Eman M. El-Gendy Egypt	13	110 0.6×	95 0.6×	196 2.0×	13 0.2×	37 0.8×	24	451

Countries citing papers authored by Kh Tohidul Islam

Since Specialization

Citations

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

Fields of papers citing papers by Kh Tohidul Islam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kh Tohidul Islam. 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 Kh Tohidul Islam. The network helps show where Kh Tohidul Islam may publish in the future.

Co-authorship network of co-authors of Kh Tohidul Islam

This figure shows the co-authorship network connecting the top 25 collaborators of Kh Tohidul Islam. A scholar is included among the top collaborators of Kh Tohidul Islam 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 Kh Tohidul Islam. Kh Tohidul Islam 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

Wu, Yicheng, Jianfei Cai, Tien‐Tsin Wong, et al.. (2025). MU-Diff: a mutual learning diffusion model for synthetic MRI with Application for brain lesions. Monash University Research Portal (Monash University). 1(1). 1 indexed citations

Chen, Zhifeng, Kamlesh Pawar, Kh Tohidul Islam, et al.. (2025). Motion‐Informed Deep Learning for Human Brain Magnetic Resonance Image Reconstruction Framework. NMR in Biomedicine. 39(1). e70209–e70209.

Islam, Kh Tohidul, Shenjun Zhong, Helen Kavnoudias, et al.. (2025). AI improves consistency in regional brain volumes measured in ultra-low-field MRI and 3T MRI. PubMed. 4. 1588487–1588487. 1 indexed citations

Islam, Kh Tohidul, et al.. (2025). McCaD: Multi-Contrast MRI Conditioned, Adaptive Adversarial Diffusion Model for High-Fidelity MRI Synthesis. 670–679. 1 indexed citations

Islam, Kh Tohidul, et al.. (2024). Ultra Low-Field to High-Field MRI Translation Using Adversarial Diffusion. 1–4. 1 indexed citations

Islam, Kh Tohidul, et al.. (2023). Deep learning based synthesis of MRI, CT and PET: Review and analysis. Medical Image Analysis. 92. 103046–103046. 77 indexed citations

Islam, Kh Tohidul, Shenjun Zhong, Zhifeng Chen, et al.. (2023). Improving portable low-field MRI image quality through image-to-image translation using paired low- and high-field images. Scientific Reports. 13(1). 21183–21183. 18 indexed citations

Islam, Kh Tohidul, Sudanthi Wijewickrema, & Stephen O’Leary. (2022). A Deep Learning Framework for Segmenting Brain Tumors Using MRI and Synthetically Generated CT Images. Sensors. 22(2). 523–523. 31 indexed citations

Islam, Kh Tohidul, Sudanthi Wijewickrema, & Stephen O’Leary. (2021). A deep learning based framework for the registration of three dimensional multi-modal medical images of the head. Scientific Reports. 11(1). 1860–1860. 33 indexed citations

10.

Islam, Kh Tohidul, Sudanthi Wijewickrema, Aaron M. Collins, & Stephen O’Leary. (2020). A Deep Transfer Learning Framework for Pneumonia Detection from Chest X-ray Images. 286–293. 21 indexed citations

11.

Islam, Kh Tohidul, Ram Gopal Raj, Syed Mohammed Shamsul Islam, et al.. (2020). A Vision-Based Machine Learning Method for Barrier Access Control Using Vehicle License Plate Authentication. Sensors. 20(12). 3578–3578. 8 indexed citations

12.

Islam, Kh Tohidul, Sudanthi Wijewickrema, & Stephen O’Leary. (2019). Identifying Diabetic Retinopathy from OCT Images using Deep Transfer Learning with Artificial Neural Networks. 281–286. 37 indexed citations

13.

Muniyandi, Ravie Chandren, et al.. (2019). Ovarian Cancer Classification Accuracy Analysis Using 15-Neuron Artificial Neural Networks Model. 33–38. 21 indexed citations

14.

Islam, Kh Tohidul, Sudanthi Wijewickrema, Ram Gopal Raj, & Stephen O’Leary. (2019). Street Sign Recognition Using Histogram of Oriented Gradients and Artificial Neural Networks. Journal of Imaging. 5(4). 44–44. 8 indexed citations

15.

Islam, Kh Tohidul, et al.. (2018). An Exploration of Deep Transfer Learning for Food Image Classification. 1–5. 22 indexed citations

16.

Islam, Kh Tohidul, et al.. (2018). Road Trail Classification using Color Images for Autonomous Vehicle Navigation. 9. 1–5. 3 indexed citations

17.

Islam, Kh Tohidul & Ram Gopal Raj. (2017). Real-Time (Vision-Based) Road Sign Recognition Using an Artificial Neural Network. Sensors. 17(4). 853–853. 44 indexed citations

18.

Islam, Kh Tohidul, Ghulam Mujtaba, Ram Gopal Raj, & Henry Friday Nweke. (2017). Handwritten digits recognition with artificial neural network. 1–4. 34 indexed citations

19.

Islam, Kh Tohidul, Ram Gopal Raj, & Ghulam Mujtaba. (2017). Recognition of Traffic Sign Based on Bag-of-Words and Artificial Neural Network. Symmetry. 9(8). 138–138. 27 indexed citations

20.

Islam, Kh Tohidul, et al.. (2017). Performance of SVM, CNN, and ANN with BoW, HOG, and Image Pixels in Face Recognition. 1–4. 20 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