Chad DeChant
Impact in
- Analytical Chemistry top 2%
- Spectroscopy and Chemometric Analyses
- Plant Science top 5%
- Smart Agriculture and AI
- Leaf Properties and Growth Measurement
- Plant Disease Management Techniques
- Date Palm Research Studies
Papers in
-
- Smart Agriculture and AI 5
- Ecology 4
- Remote Sensing in Agriculture 4
- Co-authors
- Hod Lipson (6 shared papers)Ethan L. Stewart (5 shared papers)Tyr Wiesner‐Hanks (5 shared papers)Michael A. Gore (5 shared papers)Rebecca Nelson (5 shared papers)Nicholas Kaczmar (4 shared papers)Harvey Wu (4 shared papers)Jason Yosinski (1 shared paper)
- Journals
- Remote Sensing (1 paper)Phytopathology (1 paper)Frontiers in Plant Science (1 paper)Autonomous Robots (1 paper)BMC Research Notes (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Chad DeChant
11 papers receiving 832 citations
Chad DeChant's Hit Papers
Peers
Comparison fields: 5 of 70
- Analytical Chemistry 232
- Plant Science 623
- Computer Graphics and Computer-Aided Design 34
- Ecology 230
- Geology 38
Countries citing papers authored by Chad DeChant
This map shows the geographic impact of Chad DeChant'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 Chad DeChant with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chad DeChant more than expected).
Fields of papers citing papers by Chad DeChant
This network shows the impact of papers produced by Chad DeChant. 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 Chad DeChant. The network helps show where Chad DeChant may publish in the future.
Co-authors
The 21 scholars most cited alongside Chad DeChant, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Automated Identification of Northern Leaf Blight-Infected Maize Plants from Field Imagery Using Deep Learning Hit paper breakdown → | 2017 | 305 |
| 2 | 2017 | 178 | |
| 3 | 2018 | 122 | |
| 4 | 2019 | 89 | |
| 5 | 2019 | 87 | |
| 6 | 2019 | 75 | |
| 7 | 2023 | 7 | |
| 8 | Toward robots that learn to summarize their actions in natural language: a set of tasks | 2021 | 2 |
| 9 | Predicting the accuracy of neural networks from final and intermediate layer outputs | 2019 | 1 |
| 10 | 2025 | 1 | |
| 11 | Creating a Tool to Reproducibly Estimate the Ethical Impact of Artificial Intelligence | 2019 | 1 |
| 12 | 2019 | 0 | |
| 13 | 2025 | 0 |
About Chad DeChant
Chad DeChant is a scholar working on Plant Science, Ecology, Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 13 papers that have together received 868 indexed citations. Recurring topics across this work include Smart Agriculture and AI (5 papers), Remote Sensing in Agriculture (4 papers), Natural Language Processing Techniques (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Innovation, Sustainability, Human-Machine Systems (1 paper), Plant Pathogens and Fungal Diseases (1 paper), Robotics and Automated Systems (1 paper) and Multimodal Machine Learning Applications (1 paper). The work is most often cited by research in Analytical Chemistry (232 citations), Plant Science (623 citations), Computer Graphics and Computer-Aided Design (34 citations), Ecology (230 citations) and Geology (38 citations). Chad DeChant has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Hod Lipson, Ethan L. Stewart, Tyr Wiesner‐Hanks, Michael A. Gore, Rebecca Nelson, Nicholas Kaczmar, Harvey Wu, Jason Yosinski, Siyuan Chen and Peter Allen. Their work appears in journals such as Remote Sensing, Phytopathology, Frontiers in Plant Science, Autonomous Robots and BMC Research Notes.
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.