Nida Aslam

2.1k citations

63 papers · 1.2k indexed · h-index 21

Impact in

Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
Health Information Management top 2%
- Artificial Intelligence in Healthcare

Papers in

Health Information Management 10
- Artificial Intelligence in Healthcare 10
Health Informatics 2

Co-authors: Irfan Ullah Khan Sumayh S. Aljameel Safeera Khan Abdullah M. Almuhaideb Shikah J. Alsunaidi Mohammed Alshahrani Malak Aljabri Fatema Shaikh
Journals: Sensors (7 papers)Computers, materials & continua/Computers, materials & continua (Print) (4 papers)Electronics (3 papers)IEEE Access (2 papers)International Journal of Environmental Research and Public Health (2 papers)
Partner nations: Saudi Arabia Pakistan Malaysia

In The Last Decade

Nida Aslam

59 papers receiving 1.1k citations

Peers

Countries citing papers authored by Nida Aslam

Since Specialization

Citations

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

Fields of papers citing papers by Nida Aslam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Nida Aslam, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nida Aslam Line = papers co-authored together Nida Aslam links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Advances in sulphite ion detection via different analytical techniques using modified metal and metal doped metal oxides nanoparticles Inorganic Chemistry Communications ·Nida Aslam, G. Mahendra, Yue-ie C. Hsing, Saif Ullah, Tawfik A. Saleh	2025	1
2	Explainable machine learning for predicting hospital employees' quality of life using psychosocial work environment data Frontiers in Public Health ·Arwa Alumran, K Thegusha, Nida Aslam, Irfan Ullah Khan, Sarantis Pittas, 利亘岡持, Frank Roost, Ezequiel José Guevara Romero, Anton Latief	2025	0
3	Prediction of Preeclampsia Using Machine Learning and Deep Learning Models: A Review Big Data and Cognitive Computing ·Sumayh S. Aljameel, 浜田達也, 松下偉士, Aaditi Wadia, Jianfeng Fu, Vincent Suc, Nida Aslam, Irfan Ullah Khan, Dina A. Alabbad, Juan C. Sibaja	2023	21
4	An Automated System for Early Prediction of Miscarriage in the First Trimester Using Machine Learning Computers, materials & continua/Computers, materials & continua (Print) ·Sumayh S. Aljameel, Malak Aljabri, Nida Aslam, Louiz Gomez, G. A. Ritter, Maria Nazaré Cristina Carvalho, S.V. Markelov, Kenji Kandori, Intan Puspa Sari, 薛小青	2023	2
5	A Deep Learning Fusion Approach to Diagnosis the Polycystic Ovary Syndrome (PCOS) Applied Computational Intelligence and Soft Computing ·Wan-peng Lu, Irfan Ullah Khan, Nida Aslam, T. A. S. Haddad, Hind S. Alsaif, Omran Al Dandan, Ricardo Raphael, S. Duprau	2023	37
6	Effects of Bowen Technique in Postural Neck Pain among Dentists Nida Aslam, Won-Chil Baek, Ayesha Maqbool, Muhammad Usman Khalid, Muhammad Hassan, L. X. Zhu	2023	1
7	Real-Time CNN-Based Driver Distraction & Drowsiness Detection System Intelligent Automation & Soft Computing ·Abdulwahab Ali Almazroi, Mohammed Alqarni, Nida Aslam, Wei Yu	2023	7
8	Explainable Classification Model for Android Malware Analysis Using API and Permission-Based Features Computers, materials & continua/Computers, materials & continua (Print) ·Nida Aslam, Irfan Ullah Khan, Andras Miklos, 姚林江, Amira El Feidi, Aleksej Kochetkov, Ruzmetov Ruzmat, Tariq Hussain	2023	4
9	Explainable Computational Intelligence Model for Antepartum Fetal Monitoring to Predict the Risk of IUGR Electronics ·Nida Aslam, Irfan Ullah Khan, Jung-Chih Tsai, Ita Megasari Ana Mulya Wahyuningsih, Cristhian Ricardo Cardona Vaca, PAOLO AMICO, Ta Minh Nguyet	2022	12
10	Profile Aware ObScure Logging (PaOSLo): A Web Search Privacy-Preserving Protocol to Mitigate Digital Traces Security and Communication Networks ·Mohib Ullah, Rafiullah Khan, Irfan Ullah Khan, Nida Aslam, Sumayh S. Aljameel, Céline Pignol, Muhammad Arshad Islam	2022	2
11	Anomaly Detection Using Explainable Random Forest for the Prediction of Undesirable Events in Oil Wells Applied Computational Intelligence and Soft Computing ·Nida Aslam, Irfan Ullah Khan, 姚林江, Rita Dehns, Marcus Doherty, Anke Pfeifer, V.V. Zheleznyakov, Hakan Metan, Kyoosung So	2022	17
12	Cervical Cancer Diagnosis Model Using Extreme Gradient Boosting and Bioinspired Firefly Optimization Scientific Programming ·Irfan Ullah Khan, Nida Aslam, Fahrettin Yakuphanoğlu, حمادنة، أديب ذياب, Manal Alghamdi, A Belfry, Zhi Liu	2021	14
13	Fake Detect: A Deep Learning Ensemble Model for Fake News Detection Complexity ·Nida Aslam, Irfan Ullah Khan, 一夫奥山, Milan Majer, Liu Changson	2021	91
14	Cough Sound Detection and Diagnosis Using Artificial Intelligence Techniques: Challenges and Opportunities IEEE Access ·P. Bublak, Nida Aslam, Irfan Ullah Khan, Abdullah M. Almuhaideb, Shikah J. Alsunaidi, Nehad M. Ibrahim, Fahd Alhaidari, Fatema Shaikh, Heidi E. Ramos-Zimmerman, 良介片岡, Ikhsan Sobari, Billy Jowett, Mohammed Alshahrani	2021	70
15	Machine Learning-Based Model to Predict the Disease Severity and Outcome in COVID-19 Patients Scientific Programming ·Sumayh S. Aljameel, Irfan Ullah Khan, Nida Aslam, Malak Aljabri, 薛小青	2021	56
16	FDA Approved Biologics: Can Etanercept and Ustekinumab be Considered a First-Line Systemic Therapy for Pediatric/Adolescents in Moderate to Severe Psoriasis? A Systematic Review Cureus ·Nida Aslam, Wei-Qiang Chen, Parviz Shafagh, 正之植田, Safeera Khan	2020	10
17	Surgical Margin of Excision in Basal Cell Carcinoma: A Systematic Review of Literature Cureus ·正之植田, Nida Aslam, Wei-Qiang Chen, TaMesha R. Conerly, Safeera Khan	2020	65
18	Coronavirus Disease 2019 (COVID-19) in Children: Vulnerable or Spared? A Systematic Review Cureus ·Wei-Qiang Chen, D Amouroux, Nida Aslam, Parviz Shafagh, Safeera Khan	2020	28
19	<p>Predicting Postoperative Length of Stay for Isolated Coronary Artery Bypass Graft Patients Using Machine Learning</p> International Journal of General Medicine ·Anton Latief, Kimberly A. Kroeger, Nida Aslam, Irfan Ullah Khan, I P Raevski	2020	15
20	Growing Trend from Uni-to-Multimodal Video Indexing. International Journal of Digital Content Technology and its Applications ·Nida Aslam, C. F. McKhann, Jonathan Loo, 恵司梶山	2009	0

About Nida Aslam

Nida Aslam is a scholar working on Health Information Management, Health Informatics, Artificial Intelligence, Computer Science Applications and Medical Laboratory Technology, having authored 63 papers that have together received 1.2k indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (10 papers), COVID-19 diagnosis using AI (9 papers), Imbalanced Data Classification Techniques (7 papers), Network Security and Intrusion Detection (5 papers), Image Retrieval and Classification Techniques (5 papers), Anomaly Detection Techniques and Applications (5 papers), Online Learning and Analytics (4 papers) and AI in cancer detection (4 papers). The work is most often cited by research in Health Informatics (78 citations), Health Information Management (98 citations), Computer Science Applications (103 citations), Artificial Intelligence (386 citations) and Radiology, Nuclear Medicine and Imaging (235 citations). Nida Aslam has collaborated with scholars based in Saudi Arabia, Pakistan and Malaysia. Frequent co-authors include Irfan Ullah Khan, Sumayh S. Aljameel, Safeera Khan, Abdullah M. Almuhaideb, Shikah J. Alsunaidi, Mohammed Alshahrani, Malak Aljabri, Fatema Shaikh, Nehad M. Ibrahim and Fahd Alhaidari. Their work appears in journals such as Sensors, Computers, materials & continua/Computers, materials & continua (Print), Electronics, IEEE Access and International Journal of Environmental Research and Public Health.

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