Sarah S. Lam

2.0k total citations · 1 hit paper
52 papers, 1.4k citations indexed

About

Sarah S. Lam is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering and Management Information Systems. According to data from OpenAlex, Sarah S. Lam has authored 52 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 12 papers in Industrial and Manufacturing Engineering and 7 papers in Management Information Systems. Recurrent topics in Sarah S. Lam's work include Quality and Supply Management (5 papers), Advanced Statistical Process Monitoring (5 papers) and Supply Chain Resilience and Risk Management (5 papers). Sarah S. Lam is often cited by papers focused on Quality and Supply Management (5 papers), Advanced Statistical Process Monitoring (5 papers) and Supply Chain Resilience and Risk Management (5 papers). Sarah S. Lam collaborates with scholars based in United States and France. Sarah S. Lam's co-authors include Faisal Aqlan, Sang Won Yoon, Bichen Zheng, Pratik Parikh, Mohammad T. Khasawneh, Jinghe Zhang, Krishnaswami Srihari, Alice E. Smith, Purushothaman Damodaran and Nasim Nezamoddini and has published in prestigious journals such as Expert Systems with Applications, International Journal of Production Economics and International Journal of Environmental Research and Public Health.

In The Last Decade

Sarah S. Lam

46 papers receiving 1.4k 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.

Breast cancer diagnosis based on feature extraction using a hybrid of K-means and support vector machine algorithms

2013 407 citations Bichen Zheng, Sang Won Yoon et al. Expert Systems with Applications profile →

Peers

Sarah S. Lam

AI

SM

MIS

HIM

CSE

Alper Murat United States

Mohammad Hossein Fazel Zarandi Iran

Boyi Xu China

Theodore T. Allen United States

Na Geng China

Faisal Jamil South Korea

Qingyun Dai China

Tania Cerquitelli Italy

Radhya Sahal Egypt

Sultan S. Alshamrani Saudi Arabia

Alper Murat United States

Sarah S. Lam

435 ×0.9

AI

237 ×0.8

SM

201 ×0.9

MIS

30 ×0.2

HIM

137 ×0.7

CSE

Citations per year, relative to Sarah S. Lam Sarah S. Lam (= 1×) peers Alper Murat

Countries citing papers authored by Sarah S. Lam

Since Specialization

Citations

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

Fields of papers citing papers by Sarah S. Lam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarah S. Lam. 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 Sarah S. Lam. The network helps show where Sarah S. Lam may publish in the future.

Co-authorship network of co-authors of Sarah S. Lam

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah S. Lam. A scholar is included among the top collaborators of Sarah S. Lam 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 Sarah S. Lam. Sarah S. Lam 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

1.

Lam, Sarah S., et al.. (2025). Large Language Models for Health Care Text Classification: Systematic Review. PubMed. 5. e79202–e79202. 1 indexed citations

2.

Lam, Sarah S., et al.. (2025). Decision Making and Decision Support During the Design of Healthcare Facilities: A Systematic Review. Buildings. 15(14). 2474–2474.

3.

Lam, Sarah S., et al.. (2023). Prediction of wart treatment response using a hybrid GA-ensemble learning approach. Expert Systems with Applications. 221. 119737–119737. 9 indexed citations

4.

Lam, Sarah S., et al.. (2023). Manpower scheduling of hospital call center: a multi-objective multi-stage optimization approach. 13(3). 205–214. 2 indexed citations

5.

Lam, Sarah S., et al.. (2023). Optimized design of hybrid genetic algorithm with multilayer perceptron to predict patients with diabetes. Soft Computing. 27(10). 6205–6222. 7 indexed citations

6.

Lam, Sarah S., et al.. (2023). An Integrated System of Braden Scale and Random Forest Using Real-Time Diagnoses to Predict When Hospital-Acquired Pressure Injuries (Bedsores) Occur. International Journal of Environmental Research and Public Health. 20(6). 4911–4911. 4 indexed citations

7.

Lam, Sarah S., et al.. (2023). An Integrated System of Multifaceted Machine Learning Models to Predict If and When Hospital-Acquired Pressure Injuries (Bedsores) Occur. International Journal of Environmental Research and Public Health. 20(1). 828–828. 10 indexed citations

8.

Lam, Sarah S., et al.. (2023). Machine Learning Techniques, Applications, and Potential Future Opportunities in Pressure Injuries (Bedsores) Management: A Systematic Review. International Journal of Environmental Research and Public Health. 20(1). 796–796. 28 indexed citations

9.

Lam, Sarah S., et al.. (2022). A Fuzzy-Based Approach for Cholera Risk Assessment and Vaccine Allocation. International Journal of Fuzzy Systems. 24(8). 3366–3383. 1 indexed citations

10.

Ahmed, Abdulaziz & Sarah S. Lam. (2017). Optimizing the benefits of hospitals in health information exchange networks: An integer programming model. 609–614.

11.

Aqlan, Faisal, et al.. (2016). Assessment of supply chain readiness for transformation. International Journal of Business Performance and Supply Chain Modelling. 8(3). 181–181. 1 indexed citations

12.

Nezamoddini, Nasim & Sarah S. Lam. (2015). Reliability and topology based network design using pattern mining guided genetic algorithm. Expert Systems with Applications. 42(21). 7483–7492. 15 indexed citations

13.

Ahmed, Abdulaziz & Sarah S. Lam. (2014). Material handling equipment selection using multi-attribute utility theory and Monte Carlo simulation. 3231–3237. 6 indexed citations

14.

Zheng, Bichen, Sang Won Yoon, & Sarah S. Lam. (2013). Breast cancer diagnosis based on feature extraction using a hybrid of K-means and support vector machine algorithms. Expert Systems with Applications. 41(4). 1476–1482. 407 indexed citations breakdown →

15.

Gnanasambandam, Nathan, et al.. (2012). Towards situational pattern mining from microblogging activity. 661–666. 2 indexed citations

16.

Lam, Sarah S., et al.. (2011). DISCRETE PARTICLE SWARM OPTIMIZATION FOR THE ORIENTEERING PROBLEM. International journal of industrial engineering. 18(2). 91–102. 3 indexed citations

17.

Lam, Sarah S., et al.. (2011). Discrete particle swarm optimization for the team orienteering problem. Memetic Computing. 3(4). 287–303. 23 indexed citations

18.

Parikh, Pratik & Sarah S. Lam. (2005). A hybrid strategy to solve the forward kinematics problem in parallel manipulators. IEEE Transactions on Robotics. 21(1). 18–25. 100 indexed citations

19.

Lam, Sarah S., Alice E. Smith, & Badie I. Morsi. (2001). Estimation of a mass transfer coefficient for nylon manufacture using multiple neural networks. Journal of Manufacturing Systems. 20(5). 349–356. 4 indexed citations

20.

Lam, Sarah S.. (1998). PROCESS MONITORING OF ABRASIVE FLOW MACHINING USING A NEURAL NETWORK PREDICTIVE MODEL. Indian Journal of Physiology and Pharmacology. 16(1). 15–21. 9 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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