| Plant species identification using computer vision techniques: A systematic literature review J Wäldchen, P Mäder Archives of computational methods in engineering 25, 507-543, 2018 | 435 | 2018 |
| Machine learning for image based species identification J Wäldchen, P Mäder Methods in Ecology and Evolution 9 (11), 2216-2225, 2018 | 381 | 2018 |
| Automated plant species identification—Trends and future directions J Wäldchen, M Rzanny, M Seeland, P Mäder PLoS computational biology 14 (4), e1005993, 2018 | 305 | 2018 |
| Plant species classification using flower images—A comparative study of local feature representations M Seeland, M Rzanny, N Alaqraa, J Wäldchen, P Mäder PloS one 12 (2), e0170629, 2017 | 102 | 2017 |
| Emerging technologies revolutionise insect ecology and monitoring R Van Klink, T August, Y Bas, P Bodesheim, A Bonn, F Fossøy, TT Høye, ... Trends in ecology & evolution 37 (10), 872-885, 2022 | 99 | 2022 |
| Combining high-throughput imaging flow cytometry and deep learning for efficient species and life-cycle stage identification of phytoplankton S Dunker, D Boho, J Wäldchen, P Mäder BMC ecology 18, 1-15, 2018 | 69 | 2018 |
| Acquiring and preprocessing leaf images for automated plant identification: understanding the tradeoff between effort and information gain M Rzanny, M Seeland, J Wäldchen, P Mäder Plant methods 13, 1-11, 2017 | 68 | 2017 |
| The flora incognita app–interactive plant species identification P Mäder, D Boho, M Rzanny, M Seeland, HC Wittich, A Deggelmann, ... Methods in Ecology and Evolution 12 (7), 1335-1342, 2021 | 67 | 2021 |
| Ungulate browsing causes species loss in deciduous forests independent of community dynamics and silvicultural management in Central and Southeastern Europe ED Schulze, O Bouriaud, J Wäldchen, N Eisenhauer, H Walentowski, ... Annals of Forest Research 57 (2), 267-288, 2014 | 63 | 2014 |
| The influence of changes in forest management over the past 200 years on present soil organic carbon stocks J Wäldchen, ED Schulze, I Schöning, M Schrumpf, C Sierra Forest Ecology and Management 289, 243-254, 2013 | 62 | 2013 |
| Flowers, leaves or both? How to obtain suitable images for automated plant identification M Rzanny, P Mäder, A Deggelmann, M Chen, J Wäldchen Plant methods 15, 1-11, 2019 | 58 | 2019 |
| Image-based classification of plant genus and family for trained and untrained plant species M Seeland, M Rzanny, D Boho, J Wäldchen, P Mäder BMC bioinformatics 20, 1-13, 2019 | 53 | 2019 |
| Estimation of clay content from easily measurable water content of air‐dried soil J Wäldchen, I Schöning, M Mund, M Schrumpf, S Bock, N Herold, ... Journal of Plant Nutrition and Soil Science 175 (3), 367-376, 2012 | 47 | 2012 |
| Deep learning in plant phenological research: A systematic literature review N Katal, M Rzanny, P Mäder, J Wäldchen Frontiers in Plant Science 13, 805738, 2022 | 29 | 2022 |
| Sustainable forest management of Natura 2000 sites: a case study from a private forest in the Romanian Southern Carpathians H Walentowski, ED Schulze, M Teodosiu, O Bouriaud, A Von Heßberg, ... Annals of Forest Research 56 (1), 217-245, 2013 | 26 | 2013 |
| Zur Diasporen-Keimfähigkeit von Segetalpflanzen J Wäldchen, J Pusch, V Luthardt Beiträge zur Forstwirtschaft und Landschaftsökologie 38, 145-156, 2005 | 26 | 2005 |
| Recommending plant taxa for supporting on-site species identification HC Wittich, M Seeland, J Wäldchen, M Rzanny, P Mäder BMC bioinformatics 19, 1-17, 2018 | 24 | 2018 |
| Flora Capture: a citizen science application for collecting structured plant observations D Boho, M Rzanny, J Wäldchen, F Nitsche, A Deggelmann, HC Wittich, ... BMC bioinformatics 21, 1-11, 2020 | 23 | 2020 |
| Plant image identification application demonstrates high accuracy in Northern Europe J Pärtel, M Pärtel, J Wäldchen AoB Plants 13 (4), plab050, 2021 | 21 | 2021 |
| Crowd‐sourced plant occurrence data provide a reliable description of macroecological gradients MD Mahecha, M Rzanny, G Kraemer, P Mäder, M Seeland, J Wäldchen Ecography 44 (8), 1131-1142, 2021 | 19 | 2021 |
