Wesley M. Porter

820 total citations
54 papers, 586 citations indexed

About

Wesley M. Porter is a scholar working on Plant Science, Soil Science and Civil and Structural Engineering. According to data from OpenAlex, Wesley M. Porter has authored 54 papers receiving a total of 586 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Plant Science, 14 papers in Soil Science and 10 papers in Civil and Structural Engineering. Recurrent topics in Wesley M. Porter's work include Research in Cotton Cultivation (15 papers), Smart Agriculture and AI (11 papers) and Soil Mechanics and Vehicle Dynamics (9 papers). Wesley M. Porter is often cited by papers focused on Research in Cotton Cultivation (15 papers), Smart Agriculture and AI (11 papers) and Soil Mechanics and Vehicle Dynamics (9 papers). Wesley M. Porter collaborates with scholars based in United States, Georgia and Argentina. Wesley M. Porter's co-authors include Edward M. Barnes, Glen C. Rains, Kadeghe G. Fue, John L. Snider, Calvin D. Perry, George Vellidis, Jared R. Whitaker, Changying Li, John P Fulton and V. Liakos and has published in prestigious journals such as Sensors, Frontiers in Plant Science and Remote Sensing.

In The Last Decade

Wesley M. Porter

49 papers receiving 542 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wesley M. Porter United States 13 396 146 91 73 71 54 586
Ajay Sharda United States 16 509 1.3× 91 0.6× 189 2.1× 65 0.9× 113 1.6× 75 816
Yurui Sun China 14 284 0.7× 72 0.5× 103 1.1× 32 0.4× 95 1.3× 45 594
Jiuhao Li China 12 238 0.6× 78 0.5× 85 0.9× 48 0.7× 35 0.5× 37 453
Eusun Han Denmark 12 320 0.8× 218 1.5× 51 0.6× 32 0.4× 52 0.7× 23 489
Lutz Damerow Germany 20 768 1.9× 71 0.5× 129 1.4× 64 0.9× 53 0.7× 72 1.1k
Guang Li China 15 170 0.4× 208 1.4× 86 0.9× 100 1.4× 39 0.5× 56 567
John Nowatzki United States 11 381 1.0× 73 0.5× 241 2.6× 42 0.6× 50 0.7× 31 700
D. Downey United States 12 678 1.7× 52 0.4× 174 1.9× 25 0.3× 66 0.9× 32 920
Calvin D. Perry United States 15 551 1.4× 287 2.0× 97 1.1× 166 2.3× 50 0.7× 44 758
T. S. Stombaugh United States 13 220 0.6× 149 1.0× 73 0.8× 19 0.3× 195 2.7× 68 715

Countries citing papers authored by Wesley M. Porter

Since Specialization
Citations

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

Fields of papers citing papers by Wesley M. Porter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wesley M. Porter. 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 Wesley M. Porter. The network helps show where Wesley M. Porter may publish in the future.

Co-authorship network of co-authors of Wesley M. Porter

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

All Works

20 of 20 papers shown
1.
Porter, Wesley M., et al.. (2025). CottonBot: An AI-driven cotton farming assistant and irrigation advisor using LLM-RAG and agentic AI tools. Smart Agricultural Technology. 12. 101640–101640.
2.
Porter, Wesley M., et al.. (2025). Optimizing Unmanned Aerial Vehicle LiDAR Data Collection in Cotton Through Flight Settings and Data Processing. Remote Sensing. 17(9). 1504–1504. 1 indexed citations
3.
Rains, Glen C., et al.. (2024). Robotic Multi-Boll Cotton Harvester System Integration and Performance Evaluation. AgriEngineering. 6(1). 803–822. 2 indexed citations
4.
Wallace, Jason G., C. Corley Holbrook, T. G. Isleib, et al.. (2024). Genomic Selection as an Approach to Select for Reduced Aflatoxin Contamination in Peanut Under Terminal Drought Stress. Peanut Science. 51(1). 18–31.
5.
Rains, Glen C., et al.. (2024). Comparative Performance of a Sprayer Rate Controller and Pulse Width Modulation (PWM) Systems for Site-Specific Pesticide Applications. AgriEngineering. 6(3). 3312–3326. 3 indexed citations
6.
Lee, Robert D., Calvin D. Perry, Wesley M. Porter, et al.. (2024). Assessing corn recovery from early season nutrient stress under different soil moisture regimes. Frontiers in Plant Science. 15. 1344022–1344022. 2 indexed citations
7.
Chu, Ye, C. Corley Holbrook, Daniel Foncéka, et al.. (2023). High-Throughput Canopy and Belowground Phenotyping of a Set of Peanut CSSLs Detects Lines with Increased Pod Weight and Foliar Disease Tolerance. Agronomy. 13(5). 1223–1223. 4 indexed citations
8.
Snider, John L., et al.. (2023). Effect of irrigation termination times on cotton cultivars with contrasting maturities. Agronomy Journal. 115(6). 2950–2963. 1 indexed citations
9.
Vellidis, George, et al.. (2022). Development and evaluation of a SmartIrrigation Peach App in a young peach orchard. Acta Horticulturae. 575–582. 1 indexed citations
10.
Fue, Kadeghe G., Wesley M. Porter, Edward M. Barnes, & Glen C. Rains. (2021). Ensemble Method of Deep Learning, Color Segmentation, and Image Transformation to Track, Localize, and Count Cotton Bolls Using a Moving Camera in Real-Time. Transactions of the ASABE. 64(1). 341–352. 7 indexed citations
11.
Fue, Kadeghe G., Wesley M. Porter, Edward M. Barnes, Changying Li, & Glen C. Rains. (2020). Evaluation of a Stereo Vision System for Cotton Row Detection and Boll Location Estimation in Direct Sunlight. Agronomy. 10(8). 1137–1137. 19 indexed citations
12.
Zhang, Jing, et al.. (2019). Applications of Unmanned Aerial Vehicle Based Imagery in Turfgrass Field Trials. Frontiers in Plant Science. 10. 279–279. 58 indexed citations
13.
Porter, Wesley M., et al.. (2019). Field Validation of Seed Meter Performance at Varying Seeding Rates and Ground Speeds. Applied Engineering in Agriculture. 35(6). 937–948. 12 indexed citations
14.
Fulton, John P, et al.. (2019). Row-crop planter performance to support variable-rate seeding of maize. Precision Agriculture. 21(3). 603–619. 40 indexed citations
15.
Byrd, Seth A., Guy D. Collins, Keith L. Edmisten, et al.. (2016). Leaf Pubescence and Defoliation Strategy Influence on Cotton Defoliation and Fiber Quality. ˜The œjournal of cotton science/Journal of cotton science. 20(4). 280–293. 8 indexed citations
16.
Chastain, Daryl R., John L. Snider, John S. Choinski, et al.. (2016). Leaf ontogeny strongly influences photosynthetic tolerance to drought and high temperature in Gossypium hirsutum. Journal of Plant Physiology. 199. 18–28. 52 indexed citations
17.
Byrd, Seth A., Guy D. Collins, A. Stanley Culpepper, et al.. (2016). Cotton Stage of Growth Determines Sensitivity to 2,4-D. Weed Technology. 30(3). 601–610. 18 indexed citations
18.
Porter, Wesley M., et al.. (2015). Comparison of a Wire Belt Conveyor and Cross Auger Conveyor for Conveying Bur Cotton on a Stripper Harvester. Applied Engineering in Agriculture. 43–48. 1 indexed citations
19.
Porter, Wesley M., et al.. (2013). Laboratory Evaluation of a Turn Compensation Control System for a Ground Sprayer. 2013 Kansas City, Missouri, July 21 - July 24, 2013. 3 indexed citations
20.
Bryant, Peter J., et al.. (1978). Cross Pollination Studies of Male‐Sterile Genotypes in Cowpeas1. Crop Science. 18(2). 283–285. 2 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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