Sierra Young

1.2k total citations · 1 hit paper
39 papers, 786 citations indexed

About

Sierra Young is a scholar working on Plant Science, Ecology and Environmental Engineering. According to data from OpenAlex, Sierra Young has authored 39 papers receiving a total of 786 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Plant Science, 10 papers in Ecology and 8 papers in Environmental Engineering. Recurrent topics in Sierra Young's work include Smart Agriculture and AI (8 papers), Spectroscopy and Chemometric Analyses (8 papers) and Remote Sensing in Agriculture (7 papers). Sierra Young is often cited by papers focused on Smart Agriculture and AI (8 papers), Spectroscopy and Chemometric Analyses (8 papers) and Remote Sensing in Agriculture (7 papers). Sierra Young collaborates with scholars based in United States, India and Israel. Sierra Young's co-authors include Yuzhen Lu, Joshua M. Peschel, Erkan Kayacan, Dong Chen, Zhaojian Li, Brian E. Whipker, Piyush Pandey, Haifeng Wang, Nuwan K. Wijewardane and Xu Li and has published in prestigious journals such as Sensors, Frontiers in Plant Science and PLoS Computational Biology.

In The Last Decade

Sierra Young

38 papers receiving 761 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.

A survey of public datasets for computer vision tasks in precision agriculture

2020 243 citations Yuzhen Lu, Sierra Young Computers and Electronics in Agriculture profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sierra Young United States	13	530	200	143	70	53	39	786
Md Sultan Mahmud United States	12	539 1.0×	145 0.7×	127 0.9×	99 1.4×	52 1.0×	29	751
Zhongbin Su China	18	552 1.0×	210 1.1×	133 0.9×	116 1.7×	67 1.3×	71	1.1k
Yanzhou Li China	16	407 0.8×	155 0.8×	133 0.9×	64 0.9×	97 1.8×	60	996
Xinhua Wei China	13	601 1.1×	178 0.9×	133 0.9×	55 0.8×	88 1.7×	31	915
Young Chang Canada	18	768 1.4×	220 1.1×	240 1.7×	96 1.4×	46 0.9×	51	1.1k
Hao Gan United States	14	563 1.1×	149 0.7×	198 1.4×	61 0.9×	66 1.2×	44	928
Suchet Bargoti Australia	5	554 1.0×	189 0.9×	179 1.3×	118 1.7×	61 1.2×	12	643
Yadong Liu China	11	526 1.0×	229 1.1×	121 0.8×	134 1.9×	65 1.2×	20	860
Tianhai Wang China	9	442 0.8×	128 0.6×	102 0.7×	61 0.9×	120 2.3×	18	799

Countries citing papers authored by Sierra Young

Since Specialization

Citations

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

Fields of papers citing papers by Sierra Young

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sierra Young

This figure shows the co-authorship network connecting the top 25 collaborators of Sierra Young. A scholar is included among the top collaborators of Sierra Young 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 Sierra Young. Sierra Young is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Horsburgh, Jeffery S., et al.. (2025). HydrocamCollect: A robust data acquisition and cloud data transfer workflow for camera-based hydrological monitoring. Environmental Modelling & Software. 196. 106770–106770. 1 indexed citations

Torres‐Rua, Alfonso F., et al.. (2025). Deep learning framework for fruit counting and yield mapping in tart cherry using YOLOv8 and YOLO11. Smart Agricultural Technology. 11. 100948–100948. 2 indexed citations

Franzluebbers, Alan J., et al.. (2025). Soil and pasture health underlie improved beef nutrient density determined by untargeted metabolomics in Southern US grass finished beef systems. npj Science of Food. 9(1). 151–151. 1 indexed citations

Jones, Scott B., et al.. (2025). Waveform analysis for short time domain reflectometry (TDR) probes to obtain calibrated moisture measurements from partial vertical sensor insertions. Computers and Electronics in Agriculture. 235. 110233–110233. 3 indexed citations

Jones, Scott B., et al.. (2024). Design and evaluation of an aerial vehicle payload for automated near-surface soil moisture measurements. Computers and Electronics in Agriculture. 227. 109518–109518. 2 indexed citations

Nguyen, Anh Thu, et al.. (2024). Towards Autonomous, Optimal Water Sampling with Aerial and Surface Vehicles for Rapid Water Quality Assessment. Journal of the ASABE. 67(1). 91–98. 1 indexed citations

Pandey, Piyush, et al.. (2024). Towards Autonomous, Aerial Pollination: Design of a Robotic Pollinator Payload for Controlled Crosses in Loblolly Pine. Applied Engineering in Agriculture. 40(6). 635–649. 2 indexed citations

Nguyen, Anh H., et al.. (2023). Towards rapid weight assessment of finishing pigs using a handheld, mobile RGB-D camera. Biosystems Engineering. 226. 155–168. 23 indexed citations

Pandey, Piyush, et al.. (2023). Predicting foliar nutrient concentrations and nutrient deficiencies of hydroponic lettuce using hyperspectral imaging. Biosystems Engineering. 230. 458–469. 22 indexed citations

10.

Young, Sierra, et al.. (2023). TikTok as Television. Social Media + Society. 9(3). 8 indexed citations

11.

Franzluebbers, Alan J., et al.. (2023). Soil health and root‐zone enrichment characteristics between paired grassland and cropland fields in the southeastern United States. 2(4). 299–308. 4 indexed citations

12.

Pandey, Piyush & Sierra Young. (2022). Design Considerations for In-Field Measurement of Plant Architecture Traits Using Ground-Based Platforms. Methods in molecular biology. 2539. 171–190. 1 indexed citations

13.

Saia, Sheila M., et al.. (2022). Ten simple rules for researchers who want to develop web apps. PLoS Computational Biology. 18(1). e1009663–e1009663. 7 indexed citations

14.

Lu, Yuzhen, et al.. (2022). Hyperspectral Imaging with Chemometrics for Non-Destructive Determination of Cannabinoids in Floral and Leaf Materials of Industrial Hemp. SSRN Electronic Journal. 1 indexed citations

15.

Lu, Yuzhen, et al.. (2022). Hyperspectral Imaging With Machine Learning to Differentiate Cultivars, Growth Stages, Flowers, and Leaves of Industrial Hemp (Cannabis sativa L.). Frontiers in Plant Science. 12. 810113–810113. 27 indexed citations

16.

Kendler, Shai, Sierra Young, Hanan Sela, et al.. (2022). Detection of crop diseases using enhanced variability imagery data and convolutional neural networks. Computers and Electronics in Agriculture. 193. 106732–106732. 32 indexed citations

17.

Pandey, Piyush, et al.. (2022). Impact of Macronutrient Fertility on Mineral Uptake and Growth of Lactuca sativa ‘Salanova Green’ in a Hydroponic System. Horticulturae. 8(11). 1075–1075. 4 indexed citations

18.

Pandey, Piyush, et al.. (2021). Hyperspectral Imaging Combined with Machine Learning for the Detection of Fusiform Rust Disease Incidence in Loblolly Pine Seedlings. Remote Sensing. 13(18). 3595–3595. 11 indexed citations

19.

Kronberg, Scott L., Frederick D. Provenza, Stephan van Vliet, & Sierra Young. (2021). Review: Closing nutrient cycles for animal production – Current and future agroecological and socio-economic issues. animal. 15. 100285–100285. 19 indexed citations

20.

Lu, Yuzhen, et al.. (2021). Hyperspectral Imaging with Cost-Sensitive Learning for High-Throughput Screening of Loblolly Pine (Pinus taeda L.) Seedlings for Freeze Tolerance. Transactions of the ASABE. 64(6). 2045–2059. 7 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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