Sumaira Hussain

1.5k total citations
17 papers, 383 citations indexed

About

Sumaira Hussain is a scholar working on Computer Vision and Pattern Recognition, Neurology and Artificial Intelligence. According to data from OpenAlex, Sumaira Hussain has authored 17 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 4 papers in Neurology and 4 papers in Artificial Intelligence. Recurrent topics in Sumaira Hussain's work include Visual Attention and Saliency Detection (5 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Advanced Neural Network Applications (5 papers). Sumaira Hussain is often cited by papers focused on Visual Attention and Saliency Detection (5 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Advanced Neural Network Applications (5 papers). Sumaira Hussain collaborates with scholars based in China, Pakistan and United States. Sumaira Hussain's co-authors include Inam Ullah, Kashif Shaheed, Imran Qureshi, Aihua Mao, Xingming Zhang, Munish Kumar, Muwei Jian, Yilong Yin, Hui Yu and Jie Guo and has published in prestigious journals such as Neurology, Expert Systems with Applications and IEEE Access.

In The Last Decade

Sumaira Hussain

15 papers receiving 369 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sumaira Hussain China	8	169	82	81	61	48	17	383
Weibei Dou China	12	219 1.3×	132 1.6×	92 1.1×	21 0.3×	86 1.8×	65	596
Akmal A. Younis United States	9	124 0.7×	44 0.5×	9 0.1×	101 1.7×	53 1.1×	20	329
Sirvan Khalighi United States	10	98 0.6×	74 0.9×	118 1.5×	5 0.1×	58 1.2×	26	619
Jörg Lücke Germany	12	101 0.6×	210 2.6×	86 1.1×	11 0.2×	19 0.4×	43	609
Neelam Sinha India	11	162 1.0×	87 1.1×	27 0.3×	11 0.2×	157 3.3×	73	404
Ayman AbuBaker Jordan	10	121 0.7×	80 1.0×	10 0.1×	8 0.1×	34 0.7×	21	370
Shunren Xia China	15	125 0.7×	136 1.7×	8 0.1×	31 0.5×	87 1.8×	31	392
Fan Zhu China	9	107 0.6×	113 1.4×	9 0.1×	7 0.1×	163 3.4×	20	536
Chuanbo Qin China	12	99 0.6×	70 0.9×	46 0.6×	5 0.1×	44 0.9×	46	405
Sidan Du China	9	102 0.6×	24 0.3×	22 0.3×	101 1.7×	8 0.2×	44	380

Countries citing papers authored by Sumaira Hussain

Since Specialization

Citations

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

Fields of papers citing papers by Sumaira Hussain

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sumaira Hussain

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

All Works

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17 of 17 papers shown

Hussain, Sumaira, et al.. (2025). Optimizing malicious website prediction: An advanced XGBoost-based machine learning model. Nonlinear Engineering. 14(1).

Ullah, Inam, et al.. (2025). ADPNet: Attention-Driven Dual-Path Network for automated polyp segmentation in colonoscopy. Image and Vision Computing. 162. 105648–105648.

Hussain, Sumaira, et al.. (2023). Difficulty-aware prior-guided hierarchical network for adaptive segmentation of breast tumors. Science China Information Sciences. 66(2). 3 indexed citations

Ullah, Inam, Sumaira Hussain, Kashif Shaheed, et al.. (2023). CMGNet: Context-aware middle-layer guidance network for salient object detection. Journal of King Saud University - Computer and Information Sciences. 36(1). 101838–101838. 3 indexed citations

Nie, Xiushan, et al.. (2022). Re-ranking vehicle re-identification with orientation-guide query expansion. International Journal of Distributed Sensor Networks. 18(3). 812463431–812463431. 2 indexed citations

Hussain, Sumaira, et al.. (2022). A Discriminative Level Set Method with Deep Supervision for Breast Tumor Segmentation. Computers in Biology and Medicine. 149. 105995–105995. 23 indexed citations

Ullah, Inam, et al.. (2022). AWANet: Attentive-Aware Wide-Kernels Asymmetrical Network with Blended Contour Information for Salient Object Detection. Sensors. 22(24). 9667–9667. 5 indexed citations

Ullah, Inam, Muwei Jian, Sumaira Hussain, et al.. (2021). Global context-aware multi-scale features aggregative network for salient object detection. Neurocomputing. 455. 139–153. 21 indexed citations

Shaheed, Kashif, Aihua Mao, Imran Qureshi, et al.. (2021). Recent advancements in finger vein recognition technology: Methodology, challenges and opportunities. Information Fusion. 79. 84–109. 59 indexed citations

10.

Granit, Volkan, Joanne Wuu, Jonathan Katz, et al.. (2021). Harnessing the power of the electronic health record for ALS research and quality improvement: CReATe CAPTURE‐ALS and the ALS Toolkit. Muscle & Nerve. 65(2). 154–161. 5 indexed citations

11.

Lingor, Paul, Jan Christoph Koch, Jeffrey Statland, et al.. (2021). Challenges and opportunities for Multi-National Investigator-Initiated clinical trials for ALS: European and United States collaborations. Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration. 22(5-6). 419–425. 4 indexed citations

12.

Shaheed, Kashif, Aihua Mao, Imran Qureshi, et al.. (2021). DS-CNN: A pre-trained Xception model based on depth-wise separable convolutional neural network for finger vein recognition. Expert Systems with Applications. 191. 116288–116288. 111 indexed citations

13.

Ullah, Inam, Muwei Jian, Sumaira Hussain, et al.. (2020). A brief survey of visual saliency detection. Multimedia Tools and Applications. 79(45-46). 34605–34645. 52 indexed citations

14.

Hussain, Sumaira, et al.. (2020). Contextual Level-Set Method for Breast Tumor Segmentation. IEEE Access. 8. 189343–189353. 23 indexed citations

15.

Ullah, Inam, Muwei Jian, Sumaira Hussain, et al.. (2020). DSFMA: deeply supervised fully convolutional neural networks based on multi-level aggregation for saliency detection. Multimedia Tools and Applications. 80(5). 7145–7165. 7 indexed citations

16.

Pottier, Cyril, Evadnie Rampersaud, Matt Baker, et al.. (2018). Identification of compound heterozygous variants in OPTN in an ALS-FTD patient from the CReATe consortium: a case report. Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration. 19(5-6). 469–471. 16 indexed citations

17.

Benatar, Michael, Christine Stanislaw, Eliana Reyes, et al.. (2016). Presymptomatic ALS genetic counseling and testing. Neurology. 86(24). 2295–2302. 49 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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