William Guo
Impact in
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- Online Learning and Analytics
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- Vehicle Routing Optimization Methods
Papers in
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- Neural Networks and Applications 7
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- Cloud Computing and Resource Management 5
- Co-authors
- Tej Bahadur Shahi (7 shared papers)Arjun Neupane (7 shared papers)Cheng‐Yuan Xu (4 shared papers)Kevin S. Tickle (3 shared papers)Chiranjibi Sitaula (2 shared papers)Mou Chen (3 shared papers)Gaifang Dong (1 shared paper)Ashish Shrestha (1 shared paper)
- Journals
- Expert Systems with Applications (5 papers)PLoS ONE (4 papers)Neural Computing and Applications (2 papers)IEEE Access (1 paper)Brain stimulation (1 paper)
- Partner nations
- AustraliaChinaUnited States
In The Last Decade
William Guo
80 papers receiving 1.0k citations
William Guo's Hit Papers
Peers
Comparison fields: 5 of 134
- Computer Science Applications 50
- Industrial and Manufacturing Engineering 91
- Analytical Chemistry 86
- Management Science and Operations Research 109
- Plant Science 264
Countries citing papers authored by William Guo
This map shows the geographic impact of William Guo'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 William Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Guo more than expected).
Fields of papers citing papers by William Guo
This network shows the impact of papers produced by William Guo. 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 William Guo. The network helps show where William Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside William Guo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Recent Advances in Crop Disease Detection Using UAV and Deep Learning Techniques Hit paper breakdown → | 2023 | 132 |
| 2 | 2020 | 103 | |
| 3 | 2022 | 93 | |
| 4 | 2011 | 82 | |
| 5 | 2014 | 50 | |
| 6 | 2014 | 46 | |
| 7 | 2009 | 37 | |
| 8 | 2022 | 35 | |
| 9 | 2011 | 34 | |
| 10 | 2011 | 30 | |
| 11 | 2014 | 29 | |
| 12 | 2023 | 28 | |
| 13 | 2015 | 24 | |
| 14 | 2010 | 19 | |
| 15 | 2021 | 16 | |
| 16 | 2011 | 16 | |
| 17 | 2008 | 15 | |
| 18 | 2015 | 15 | |
| 19 | 2012 | 14 | |
| 20 | 2009 | 13 |
About William Guo
William Guo is a scholar working on Artificial Intelligence, Information Systems, Education, Computer Networks and Communications and Molecular Biology, having authored 82 papers that have together received 1.1k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (7 papers), Geomagnetism and Paleomagnetism Studies (7 papers), Geophysical and Geoelectrical Methods (7 papers), Neural Networks and Applications (7 papers), Experimental Learning in Engineering (6 papers), Mathematics Education and Programs (6 papers), Peer-to-Peer Network Technologies (5 papers) and Cloud Computing and Resource Management (5 papers). The work is most often cited by research in Computer Science Applications (50 citations), Industrial and Manufacturing Engineering (91 citations), Analytical Chemistry (86 citations), Management Science and Operations Research (109 citations) and Plant Science (264 citations). William Guo has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Tej Bahadur Shahi, Arjun Neupane, Cheng‐Yuan Xu, Kevin S. Tickle, Chiranjibi Sitaula, Mou Chen, Gaifang Dong, Ashish Shrestha, Colin Cole and Michael Li. Their work appears in journals such as Expert Systems with Applications, PLoS ONE, Neural Computing and Applications, IEEE Access and Brain stimulation.
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.