Author

Zhengpeng Feng

University of CambridgeORCID 0009-0007-6994-0753Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Zhengpeng Feng1 paper · Department of Computer Science and Technology, University of Cambridge, Cambridge, UK;

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:deep learning· 1 Research Focus:ecology & biodiversity· 1 Assay:imaging· 1

Frequent Co-Authors

Anil MadhavapeddyiD· 1 shared Clement AtzbergeriD· 1 shared David A. CoomesiD· 1 shared James BalliD· 1 shared Jana Annika WickleiniD· 1 shared Jovana KnezeviciD· 1 shared Michele DalponteiD· 1 shared Sadiq JafferiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperEcology

Anil MadhavapeddyORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

EcologyScience of Remote SensingPeer-reviewedJul 10, 2026

Geospatial foundation models enable data-efficient tree species mapping in temperate mountain forests

James Ball, Jana Annika Wicklein, Zhengpeng Feng…·David A. Coomes

This paper evaluates geospatial foundation models for tree species mapping in mountain forests, finding they outperform traditional methods with fewer labels and preserve ecological structure, though performance degrades over time.

4 citationstop 1%

imagingdeep learning

𝕏 PostBluesky