Shang‐Ming Zhou

2.7k total citations
95 papers, 1.9k citations indexed

About

Shang‐Ming Zhou is a scholar working on Artificial Intelligence, Management Science and Operations Research and Statistics and Probability. According to data from OpenAlex, Shang‐Ming Zhou has authored 95 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Artificial Intelligence, 15 papers in Management Science and Operations Research and 11 papers in Statistics and Probability. Recurrent topics in Shang‐Ming Zhou's work include Fuzzy Logic and Control Systems (22 papers), Multi-Criteria Decision Making (14 papers) and Neural Networks and Applications (12 papers). Shang‐Ming Zhou is often cited by papers focused on Fuzzy Logic and Control Systems (22 papers), Multi-Criteria Decision Making (14 papers) and Neural Networks and Applications (12 papers). Shang‐Ming Zhou collaborates with scholars based in United Kingdom, China and United States. Shang‐Ming Zhou's co-authors include John Q. Gan, Francisco Chiclana, Robert John, Jonathan M. Garibaldi, Francisco Sepulveda, Li Da Xu, Sinéad Brophy, Roxanne Cooksey, M. D. Atkinson and Stefan Siebert and has published in prestigious journals such as The Lancet, PLoS ONE and Expert Systems with Applications.

In The Last Decade

Shang‐Ming Zhou

86 papers receiving 1.9k citations

Peers

Countries citing papers authored by Shang‐Ming Zhou

Since Specialization

Citations

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

Fields of papers citing papers by Shang‐Ming Zhou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shang‐Ming Zhou. 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 Shang‐Ming Zhou. The network helps show where Shang‐Ming Zhou may publish in the future.

Co-authorship network of co-authors of Shang‐Ming Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Shang‐Ming Zhou. A scholar is included among the top collaborators of Shang‐Ming Zhou 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 Shang‐Ming Zhou. Shang‐Ming Zhou 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

#	Work	Indexed citations
1	Synergistic effect study on Cl− and SO42− for 2Cr13 used in a low-pressure cylinder of steam turbines at peaking unit 2025 ·Anti-Corrosion Methods and Materials ·Shang‐Ming Zhou, (unknown), Yang Huo, Tao Li, Zhenggang Wang	0
2	Associations of dietary oxidative balance score with sarcopenia in adults: an NHANES-based cross-sectional study 2025 ·Nutrition & Metabolism ·Qiang Zhou, Shang‐Ming Zhou, (unknown), (unknown), (unknown), Y. Claire Wang	2
3	AI-driven biomedical perspectives on mental fatigue in the post-COVID-19 Era: trends, research gaps, and future directions 2025 ·Journal Of Big Data ·(unknown), Md Belal Bin Heyat, (unknown), Faijan Akhtar, (unknown), Seth Christopher Yaw Appiah, Shang‐Ming Zhou, (unknown)	1
4	Early diagnosis of Parkinson’s disease using a hybrid method of least squares support vector regression and fuzzy clustering 2024 ·Journal of Applied Biomedicine ·Hossein Ahmadi, (unknown), Goli Arji, Abbas Sheikhtaheri, Shang‐Ming Zhou	3
5	Electroflocculation kinetics of humic acid removal from boiler make-up water using Al-base electrodes 2024 ·Materials Chemistry and Physics ·(unknown), (unknown), Tao Li, Shang‐Ming Zhou, (unknown)	1
6	COVID-19 and pregnancy: a comprehensive study of comorbidities and outcomes 2024 ·BMC Public Health ·Shang‐Ming Zhou, (unknown), (unknown), Lisa M. Lix, Kate Maslin, Jos M. Latour, Jill Shawe	1
7	A Dual-Based Pruning Method for the Least-Squares Support Vector Machine 2023 ·IFAC-PapersOnLine ·(unknown), Shang‐Ming Zhou, (unknown), (unknown), Zhijun Zhang, (unknown)	1
8	Machine Learning in Colorectal Cancer Risk Prediction from Routinely Collected Data: A Review 2023 ·Diagnostics ·(unknown), Shang‐Ming Zhou, Sinéad Brophy, Phil Davies, Peter Ellis, Jonathan Kennedy, Amrita Bandyopadhyay, Michael Parker, Ronan A Lyons	11
9	Spatial lithological heterogeneity of the deep-sea sediments and its controlling factors in the northern West Caroline Basin, tropical West Pacific 2023 ·Deep Sea Research Part I Oceanographic Research Papers ·Xiaoqiang Guo, Jishang Xu, Jikun Wang, Yanyan Zhao, Guangxue Li, Jizheng Xu, Yang Zhang, Shang‐Ming Zhou, (unknown), Long Chen	0
10	Concept libraries for automatic electronic health record based phenotyping: A review. 2021 ·PEARL (University of Plymouth) ·(unknown), Shang‐Ming Zhou, Sinéad Brophy	1
11	Concept Libraries for Repeatable and Reusable Research: Qualitative Study Exploring the Needs of Users 2021 ·JMIR Human Factors ·(unknown), Shang‐Ming Zhou, Sinéad Brophy, (unknown)	0
12	Modeling Large Sparse Data for Feature Selection: Hospital Admission Predictions of the Dementia Patients Using Primary Care Electronic Health Records 2020 ·IEEE Journal of Translational Engineering in Health and Medicine ·(unknown), Shang‐Ming Zhou, Xianghua Xie	23
13	Covariate shift estimation based adaptive ensemble learning for handling non-stationarity in motor imagery related EEG-based brain-computer interface 2019 ·Neurocomputing ·Haider Raza, Dheeraj Rathee, Shang‐Ming Zhou, Hubert Cecotti, Girijesh Prasad	79
14	Light source detection for digital images in noisy scenes: a neural network approach 2016 ·Neural Computing and Applications ·David Elizondo, Shang‐Ming Zhou, Charalambos Chrysostomou	4
15	Defining Disease Phenotypes in Primary Care Electronic Health Records by a Machine Learning Approach: A Case Study in Identifying Rheumatoid Arthritis 2016 ·PLoS ONE ·Shang‐Ming Zhou, Fabiola Fernández‐Gutiérrez, Jonathan Kennedy, Roxanne Cooksey, M. D. Atkinson, Spiros Denaxas, Stefan Siebert, William G Dixon, Terence W O’Neill, Ernest Choy, Cathie Sudlow, (unknown), (unknown)	113
16	Introduction: Advances in IoT research and applications 2015 ·Information Systems Frontiers ·Pan Wang, Ricardo Valerdi, Shang‐Ming Zhou, Ling Li	37
17	Physical Activity and Excess Weight in Pregnancy Have Independent and Unique Effects on Delivery and Perinatal Outcomes 2014 ·PLoS ONE ·Kelly Morgan, Muhammad Aziz Rahman, Rebecca Hill, Shang‐Ming Zhou, (unknown), Ashrafunnesa Khanom, Ronan A Lyons, Sinéad Brophy	26
18	Incidence of Campylobacter and Salmonella Infections Following First Prescription for PPI: A Cohort Study Using Routine Data 2013 ·The American Journal of Gastroenterology ·Sinéad Brophy, Kerina Jones, Muhammad Aziz Rahman, Shang‐Ming Zhou, Ann John, M. D. Atkinson, Nick Francis, Ronan A Lyons, (unknown)	40
19	On aggregating uncertain information by type-2 OWA operators for soft decision making 2010 ·Cronfa (Swansea University) ·Shang‐Ming Zhou	44
20	Methods of automatic computing land area of blocks in classified remote sensing images 2002 ·Yaogan jishu yu yingyong ·(unknown), Shang‐Ming Zhou, (unknown)	1

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