Mohd Usama

736 total citations
16 papers, 492 citations indexed

About

Mohd Usama is a scholar working on Artificial Intelligence, Health Information Management and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mohd Usama has authored 16 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 3 papers in Health Information Management and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mohd Usama's work include Sentiment Analysis and Opinion Mining (4 papers), Topic Modeling (4 papers) and Artificial Intelligence in Healthcare (3 papers). Mohd Usama is often cited by papers focused on Sentiment Analysis and Opinion Mining (4 papers), Topic Modeling (4 papers) and Artificial Intelligence in Healthcare (3 papers). Mohd Usama collaborates with scholars based in China, Saudi Arabia and India. Mohd Usama's co-authors include Belal Ahmad, M. Shamim Hossain, Ghulam Muhammad, Saqib Qamar, Parvez Ahmad, Ran Zheng, Hai Jin, Enmin Song, Mubarak Alrashoud and Kai Hwang and has published in prestigious journals such as IEEE Access, Future Generation Computer Systems and Computer Methods and Programs in Biomedicine.

In The Last Decade

Mohd Usama

14 papers receiving 459 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mohd Usama China	10	249	97	92	61	56	16	492
Abdulkareem Alzahrani Saudi Arabia	11	179 0.7×	126 1.3×	62 0.7×	116 1.9×	39 0.7×	39	501
Ghadah Naif Alwakid Saudi Arabia	10	164 0.7×	52 0.5×	71 0.8×	71 1.2×	37 0.7×	38	351
Rehan Ashraf Pakistan	9	224 0.9×	103 1.1×	160 1.7×	66 1.1×	34 0.6×	18	419
Alhassan Mabrouk Egypt	12	203 0.8×	54 0.6×	58 0.6×	119 2.0×	26 0.5×	12	378
Saeed Iqbal Pakistan	12	167 0.7×	94 1.0×	23 0.3×	130 2.1×	70 1.3×	42	425
Ahmed Abdullah Alqarni Saudi Arabia	8	138 0.6×	26 0.3×	45 0.5×	65 1.1×	34 0.6×	19	350
Saqib Qamar China	10	119 0.5×	160 1.6×	38 0.4×	86 1.4×	26 0.5×	22	382
Md. Mahfujur Rahman Bangladesh	11	101 0.4×	51 0.5×	29 0.3×	64 1.0×	40 0.7×	25	358
Nizar Alsharif Saudi Arabia	12	166 0.7×	35 0.4×	49 0.5×	72 1.2×	55 1.0×	23	594

Countries citing papers authored by Mohd Usama

Since Specialization

Citations

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

Fields of papers citing papers by Mohd Usama

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohd Usama

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

All Works

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16 of 16 papers shown

Usama, Mohd, Emma Nyman, Ulf Näslund, & Christer Grönlund. (2025). A domain adaptation model for carotid ultrasound: Image harmonization, noise reduction, and impact on cardiovascular risk markers. Computers in Biology and Medicine. 190. 110030–110030. 1 indexed citations

Kumar, Sanjeev, et al.. (2022). Machine Learning based Intrusion Detection System for Minority Attacks Classification. 256–261. 19 indexed citations

Ahmad, Belal, et al.. (2021). An ensemble model of convolution and recurrent neural network for skin disease classification. International Journal of Imaging Systems and Technology. 32(1). 218–229. 17 indexed citations

Usama, Mohd, Belal Ahmad, Enmin Song, et al.. (2020). Attention-based sentiment analysis using convolutional and recurrent neural network. Future Generation Computer Systems. 113. 571–578. 93 indexed citations

Ahmad, Belal, et al.. (2020). Discriminative Feature Learning for Skin Disease Classification Using Deep Convolutional Neural Network. IEEE Access. 8. 39025–39033. 92 indexed citations

Usama, Mohd, Belal Ahmad, Wenjing Xiao, M. Shamim Hossain, & Ghulam Muhammad. (2019). Self-attention based recurrent convolutional neural network for disease prediction using healthcare data. Computer Methods and Programs in Biomedicine. 190. 105191–105191. 43 indexed citations

Usama, Mohd, et al.. (2019). Recurrent Convolutional Attention Neural Model for Sentiment Classification of short text. 40–45. 1 indexed citations

Usama, Mohd, Wenjing Xiao, Belal Ahmad, et al.. (2019). Deep Learning Based Weighted Feature Fusion Approach for Sentiment Analysis. IEEE Access. 7. 140252–140260. 23 indexed citations

Usama, Mohd, Belal Ahmad, Jun Yang, et al.. (2019). REMOVED: Equipping recurrent neural network with CNN-style attention mechanisms for sentiment analysis of network reviews. Computer Communications. 148. 98–98. 5 indexed citations

10.

Usama, Mohd, Belal Ahmad, Jun Yang, et al.. (2019). Removal notice to “Equipping recurrent neural network with CNN-style attention mechanisms for sentiment analysis of network reviews” [Comput. Commun. 148 (2019) 98–106]. Computer Communications. 148. 250–250.

11.

Qamar, Saqib, Hai Jin, Ran Zheng, Parvez Ahmad, & Mohd Usama. (2019). A variant form of 3D-UNet for infant brain segmentation. Future Generation Computer Systems. 108. 613–623. 84 indexed citations

12.

Ahmad, Parvez, Hai Jin, Saqib Qamar, et al.. (2019). 3D Dense Dilated Hierarchical Architecture for Brain Tumor Segmentation. 304–307. 3 indexed citations

13.

Ahmad, Belal, Mohd Usama, Jiayi Lu, et al.. (2019). Deep Convolutional Neural Network Using Triplet Loss to Distinguish the Identical Twins. 1–6. 6 indexed citations

14.

Usama, Mohd, Belal Ahmad, Jiafu Wan, et al.. (2018). Deep Feature Learning for Disease Risk Assessment Based on Convolutional Neural Network With Intra-Layer Recurrent Connection by Using Hospital Big Data. IEEE Access. 6. 67927–67939. 21 indexed citations

15.

Hao, Yixue, Mohd Usama, Jun Yang, M. Shamim Hossain, & Ahmed Ghoneim. (2018). Recurrent convolutional neural network based multimodal disease risk prediction. Future Generation Computer Systems. 92. 76–83. 53 indexed citations

16.

Usama, Mohd, Mengchen Liu, & Min Chen. (2017). Job schedulers for Big data processing in Hadoop environment: testing real-life schedulers using benchmark programs. Digital Communications and Networks. 3(4). 260–273. 31 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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