Recent University of Leicester ODA and Global Challenge Publications

The following publications have been captured over the last month and University of Leicester publications linked to either the Newton Fund or Global Challenges Research Fund. Both funds are supported as Official Development Assistance (ODA) by the UK Government.

(Data are updated on the first day of each month)

The following information was updated on 1 November 2023 by the DevPubMetric system using data captured by the Scopus database.

There are 6 publications included in this list.

Budu-Aggrey A., Kilanowski A., Sobczyk M.K., Shringarpure S., Mitchell R., Reis K., Reigo A., Mägi R., Nelis M., Tanaka N., et al. (2023), European and multi-ancestry genome-wide association meta-analysis of atopic dermatitis highlights importance of systemic immune regulation, Nature Communications 14: https://doi.org/10.1038/s41467-023-41180-2

Harrison M., Brugues Sintes P., Kusin K., Katoppo D.R., Marchant N., Morrogh-Bernard H., Nasir D., Ripoll Capilla B., Salahudin , Suppan L., et al. (2023), Accounting for seedling performance from nursery to outplanting when reforesting degraded tropical peatlands, Restoration Ecology : https://doi.org/10.1111/rec.13984

Li X., Lin Z., Lv H., Yu L., Heidari A.A., Zhang Y., Chen H., Liang G. (2023), Advanced slime mould algorithm incorporating differential evolution and Powell mechanism for engineering design, iScience 26: https://doi.org/10.1016/j.isci.2023.107736

Wang J., Khan M.A., Wang S.H., Zhang Y. (2023), SNSVM: SqueezeNet-Guided SVM for Breast Cancer Diagnosis, Computers, Materials and Continua 76: 2201-2216 https://doi.org/10.32604/cmc.2023.041191

Zhu H., Wang W., Ulidowski I., Zhou Q., Wang S.H., Chen H., Zhang Y. (2023), MEEDNets: Medical Image Classification via Ensemble Bio-inspired Evolutionary DenseNets, Knowledge-Based Systems 280: https://doi.org/10.1016/j.knosys.2023.111035

Zhu H., Zhu Z., Wang S.H., Zhang Y. (2023), CovC-ReDRNet: A Deep Learning Model for COVID-19 Classification, Machine Learning and Knowledge Extraction 5: 684-712 https://doi.org/10.3390/make5030037

Data were captured and processed by the DevPubMetric system. The list of publications was generated from data reported by projects directly to UKRI through ResearchFish
Publication data were captured from the UKRI Gateway to Research system.
Open Government Licence

Additional records were generated using the Scopus database through structured searches for new documents by programme name and project reference.All records were then processed to collate full bibliographic data downloaded from Scopus.


This list of publications only contains documents that can be matched against source publications that are included in the Scopus database and the identification process requires researchers to have either reported the outcome to ResearchFish or to have included the programme name or project reference number in a publication's acknowledgement.

It is recognised that a small number of publications reported by researchers in this way and then captured by the DevPubMetric process may have limited levels of direct attribution to the programme.

This list of publications is generated through an automated process. It is possible that a few publications may be included which should not be attributed to this list and that some others may have been missed. Please send requests for corrections to admin@pvgglobal.uk