H.J. van de Zedde

1.0k total citations · 1 hit paper
13 papers, 693 citations indexed

About

H.J. van de Zedde is a scholar working on Plant Science, Ecology and Molecular Biology. According to data from OpenAlex, H.J. van de Zedde has authored 13 papers receiving a total of 693 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Plant Science, 5 papers in Ecology and 2 papers in Molecular Biology. Recurrent topics in H.J. van de Zedde's work include Remote Sensing in Agriculture (5 papers), Smart Agriculture and AI (5 papers) and Plant Gene Expression Analysis (2 papers). H.J. van de Zedde is often cited by papers focused on Remote Sensing in Agriculture (5 papers), Smart Agriculture and AI (5 papers) and Plant Gene Expression Analysis (2 papers). H.J. van de Zedde collaborates with scholars based in Netherlands, Germany and France. H.J. van de Zedde's co-authors include Gert Kootstra, Huanyu Jiang, Weinan Shi, R.E. Schouten, Laurens Klerkx, L.F.M. Marcelis, Luuk Graamans, Elias Kaiser, W. van Ieperen and E. Heuvelink and has published in prestigious journals such as Trends in Plant Science, Frontiers in Plant Science and Computers and Electronics in Agriculture.

In The Last Decade

H.J. van de Zedde

11 papers receiving 660 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Current status and future challenges in implementing and upscaling vertical farming systems

2021 333 citations S.H. van Delden, Malleshaiah SharathKumar et al. Nature Food profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
H.J. van de Zedde Netherlands	9	502	157	97	59	59	13	693
Genaro M. Soto-Zarazúa Mexico	12	281 0.6×	73 0.5×	40 0.4×	36 0.6×	63 1.1×	40	645
Xianju Lu China	17	581 1.2×	175 1.1×	109 1.1×	55 0.9×	12 0.2×	63	869
Alwaseela Abdalla China	13	320 0.6×	157 1.0×	54 0.6×	22 0.4×	49 0.8×	23	550
Md Nasim Reza South Korea	12	265 0.5×	89 0.6×	55 0.6×	26 0.4×	26 0.4×	63	441
Krishna Nemali United States	19	736 1.5×	59 0.4×	48 0.5×	117 2.0×	58 1.0×	35	929
José Miguel Molina‐Martínez Spain	20	620 1.2×	193 1.2×	145 1.5×	20 0.3×	14 0.2×	68	1.0k
E.A. van Os Netherlands	17	870 1.7×	41 0.3×	29 0.3×	51 0.9×	83 1.4×	84	1.2k
V. Ostrovsky Israel	11	533 1.1×	260 1.7×	96 1.0×	46 0.8×	17 0.3×	13	863
Jiangchuan Fan China	15	593 1.2×	315 2.0×	274 2.8×	58 1.0×	10 0.2×	34	946

Countries citing papers authored by H.J. van de Zedde

Since Specialization

Citations

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

Fields of papers citing papers by H.J. van de Zedde

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H.J. van de Zedde. 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 H.J. van de Zedde. The network helps show where H.J. van de Zedde may publish in the future.

Co-authorship network of co-authors of H.J. van de Zedde

This figure shows the co-authorship network connecting the top 25 collaborators of H.J. van de Zedde. A scholar is included among the top collaborators of H.J. van de Zedde 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 H.J. van de Zedde. H.J. van de Zedde 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:

13 of 13 papers shown

1.

Tsuda, Shogo, et al.. (2025). TTADDA-UAV: A multi-season RGB and multispectral UAV dataset of potato fields collected in Japan and the Netherlands. Data in Brief. 62. 112004–112004. 1 indexed citations

2.

El-Moghazy, Ahmed Y., Ana Allende, María I. Gil, et al.. (2024). Food Safety Related Data Analytics, Digital, and Artificial Intelligence Needs and Opportunities in Controlled Environment Agriculture. Food Protection Trends. 44(6). 400–408. 1 indexed citations

3.

Hurst, William, et al.. (2023). Virtual reality-based digital twins for greenhouses: A focus on human interaction. Computers and Electronics in Agriculture. 208. 107815–107815. 27 indexed citations

4.

Poorter, Hendrik, Grégoire M. Hummel, Kerstin Nagel, et al.. (2023). Pitfalls and potential of high-throughput plant phenotyping platforms. Frontiers in Plant Science. 14. 1233794–1233794. 18 indexed citations

5.

Rustia, Dan Jeric Arcega, et al.. (2023). Rapid tomato DUS trait analysis using an optimized mobile-based coarse-to-fine instance segmentation algorithm. Socio-Environmental Systems Modeling. 634–642.

6.

Hall, Robert D., John C. D’Auria, A. C. Silva Ferreira, et al.. (2022). High-throughput plant phenotyping: a role for metabolomics?. Trends in Plant Science. 27(6). 549–563. 65 indexed citations

7.

Delden, S.H. van, Malleshaiah SharathKumar, Luuk Graamans, et al.. (2021). Current status and future challenges in implementing and upscaling vertical farming systems. Nature Food. 2(12). 944–956. 333 indexed citations breakdown →

8.

Zedde, H.J. van de, et al.. (2021). High-Resolution Analysis of Growth and Transpiration of Quinoa Under Saline Conditions. Frontiers in Plant Science. 12. 634311–634311. 20 indexed citations

9.

Yao, Lili, H.J. van de Zedde, & George A. Kowalchuk. (2021). Recent developments and potential of robotics in plant eco-phenotyping. Emerging Topics in Life Sciences. 5(2). 289–300. 17 indexed citations

10.

Shi, Weinan, H.J. van de Zedde, Huanyu Jiang, & Gert Kootstra. (2019). Plant-part segmentation using deep learning and multi-view vision. Biosystems Engineering. 187. 81–95. 101 indexed citations

11.

Rosenqvist, Eva, Dominik K. Großkinsky, Carl‐Otto Ottosen, & H.J. van de Zedde. (2019). The Phenotyping Dilemma—The Challenges of a Diversified Phenotyping Community. Frontiers in Plant Science. 10. 163–163. 32 indexed citations

12.

Polder, G., C. Gerard van der Linden, & H.J. van de Zedde. (2016). Quick phenotyping speeds up breeding process : PhenomicsNL. Socio-Environmental Systems Modeling. 2016. 40–42.

13.

Kootstra, Gert, et al.. (2015). Validation of plant part measurements using a 3D reconstruction method suitable for high-throughput seedling phenotyping. Machine Vision and Applications. 27(5). 663–680. 78 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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