Xuemei Ding

1.2k total citations
43 papers, 793 citations indexed

About

Xuemei Ding is a scholar working on Artificial Intelligence, Psychiatry and Mental health and Computer Networks and Communications. According to data from OpenAlex, Xuemei Ding has authored 43 papers receiving a total of 793 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 10 papers in Psychiatry and Mental health and 8 papers in Computer Networks and Communications. Recurrent topics in Xuemei Ding's work include Anomaly Detection Techniques and Applications (9 papers), Dementia and Cognitive Impairment Research (9 papers) and Artificial Intelligence in Healthcare (6 papers). Xuemei Ding is often cited by papers focused on Anomaly Detection Techniques and Applications (9 papers), Dementia and Cognitive Impairment Research (9 papers) and Artificial Intelligence in Healthcare (6 papers). Xuemei Ding collaborates with scholars based in United Kingdom, China and United States. Xuemei Ding's co-authors include Yi Cao, Junxiu Liu, Liam Maguire, Yuling Luo, Yuhua Li, Ammar Belatreche, Magda Bucholc, Jia Zhai, Duqu Wei and Lin Jia and has published in prestigious journals such as Journal of Cleaner Production, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Xuemei Ding

39 papers receiving 780 citations

Peers

Xuemei Ding

CVPR

PMH

EEE

CNC

Shamila Nasreen Pakistan

Zheng Xiao China

Claudio De Stefano Italy

Il-Seok Oh South Korea

M. J. Ebadi Iran

Rekh Ram Janghel India

Endika Bengoetxea Spain

Sultan Aljahdali Saudi Arabia

Bumshik Lee South Korea

Rongyao Hu China

Shamila Nasreen Pakistan

Xuemei Ding

377 ×1.3

161 ×0.6

CVPR

22 ×0.2

PMH

66 ×0.9

EEE

93 ×1.5

CNC

Citations per year, relative to Xuemei Ding Xuemei Ding (= 1×) peers Shamila Nasreen

Countries citing papers authored by Xuemei Ding

Since Specialization

Citations

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

Fields of papers citing papers by Xuemei Ding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuemei Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Xuemei Ding. A scholar is included among the top collaborators of Xuemei Ding 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 Xuemei Ding. Xuemei Ding 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

Gu, Jie, Xuemei Ding, Juan Yang, et al.. (2025). Individuals with High Social Anhedonia but not Schizophrenia Exhibited Altered Empathy in Daily Life. Schizophrenia Bulletin.

Lin, Fan, et al.. (2025). Translational computerized clinical decision support systems for Alzheimer's disease: A systematic review. Journal of Alzheimer s Disease. 106(2). 443–483. 1 indexed citations

Bucholc, Magda, et al.. (2023). A hybrid machine learning approach for prediction of conversion from mild cognitive impairment to dementia. Expert Systems with Applications. 217. 119541–119541. 33 indexed citations

Luo, Yan, et al.. (2023). Carbon footprint assessment of face masks in the context of the COVID-19 pandemic: Based on different protective performance and applicable scenarios. Journal of Cleaner Production. 387. 135854–135854. 24 indexed citations

Ding, Xuemei, et al.. (2023). Convolutional AutoEncoders for Anomaly Detection in Semiconductor Manufacturing. Ulster University Research Portal (Ulster University). 1–6.

Ding, Xuemei, et al.. (2022). Anomaly Detection in Batch Manufacturing Processes Using Localized Reconstruction Errors From 1-D Convolutional AutoEncoders. IEEE Transactions on Semiconductor Manufacturing. 36(1). 147–150. 12 indexed citations

Liu, Junxiu, et al.. (2022). Bio-Inspired Autonomous Learning Algorithm With Application to Mobile Robot Obstacle Avoidance. Frontiers in Neuroscience. 16. 905596–905596. 5 indexed citations

Cao, Yi, et al.. (2022). A novelty detection approach to effectively predict conversion from mild cognitive impairment to Alzheimer’s disease. International Journal of Machine Learning and Cybernetics. 14(1). 213–228. 9 indexed citations

Ding, Xuemei, et al.. (2021). A Hybrid Capsule Network for Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 11824–11839. 17 indexed citations

10.

Bucholc, Magda, Xuemei Ding, Haiying Wang, et al.. (2019). A practical computerized decision support system for predicting the severity of Alzheimer's disease of an individual. Expert Systems with Applications. 130. 157–171. 66 indexed citations

11.

Luo, Yuling, et al.. (2019). ECM-IBS: A Chebyshev Map-Based Broadcast Authentication for Wireless Sensor Networks. International Journal of Bifurcation and Chaos. 29(9). 1950118–1950118. 9 indexed citations

12.

Luo, Yuling, Lin Jia, Junxiu Liu, et al.. (2019). A robust image encryption algorithm based on Chua's circuit and compressive sensing. Signal Processing. 161. 227–247. 125 indexed citations

13.

Ding, Xuemei, Magda Bucholc, Haiying Wang, et al.. (2018). A hybrid computational approach for efficient Alzheimer’s disease classification based on heterogeneous data. Scientific Reports. 8(1). 9774–9774. 38 indexed citations

14.

Bucholc, Magda, Xuemei Ding, Huan‐Yu Wang, et al.. (2018). Development of a computer-based clinical decision support tool for identifying individuals with different levels of cognitive impairment. Research Portal (Queen's University Belfast). 1 indexed citations

15.

Luo, Yuling, et al.. (2018). Cryptanalysis of Chaos-Based Cryptosystem from the Hardware Perspective. International Journal of Bifurcation and Chaos. 28(9). 1850114–1850114. 18 indexed citations

16.

Zhang, Jinlei, Junxiu Liu, Yuling Luo, et al.. (2017). Chemical substance classification using long short-term memory recurrent neural network. View. 1994–1997. 5 indexed citations

17.

Liu, Shuo, Hongqin Yang, Jia Zhai, et al.. (2017). Quantitative analysis of breast cancer diagnosis using a probabilistic modelling approach. Computers in Biology and Medicine. 92. 168–175. 19 indexed citations

18.

Ding, Xuemei, Yuhua Li, Ammar Belatreche, & Liam Maguire. (2013). Novelty Detection Using Level Set Methods with Adaptive Boundaries. ORCA Online Research @Cardiff (Cardiff University). 7. 3020–3025. 2 indexed citations

19.

Hasan, Syed Faraz, et al.. (2012). Scanning and Address Allocation Delays in Vehicular Communications. Wireless Personal Communications. 68(4). 1415–1433. 2 indexed citations

20.

Ding, Xuemei, et al.. (2012). Edge Coverage Analysis for Software Architecture Testing. Journal of Software. 7(5). 2 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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