Stephen Chan
Impact in
- Oceanography top 5%
- Marine and coastal plant biology
- Marine Biology and Ecology Research
- Underwater Acoustics Research
- Ecology top 5%
- Coral and Marine Ecosystems Studies
- Marine animal studies overview
Papers in
- Ecology 4
- Coral and Marine Ecosystems Studies 4
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- Data Stream Mining Techniques 1
- Domain Adaptation and Few-Shot Learning 1
- Co-authors
- David Kriegman (4 shared papers)Oscar Beijbom (2 shared papers)B. Greg Mitchell (1 shared paper)Chris Roelfsema (1 shared paper)Vincent W. Moriarty (1 shared paper)Tali Treibitz (1 shared paper)Tung‐Yung Fan (1 shared paper)David I. Kline (1 shared paper)
- Journals
- ACM Transactions on Cyber-Physical Systems (1 paper)Electronics Letters (1 paper)Coral Reefs (1 paper)PLoS ONE (1 paper)Limnology and Oceanography (1 paper)
- Partner nations
- United StatesCanadaPuerto Rico
In The Last Decade
Stephen Chan
8 papers receiving 366 citations
Peers
Comparison fields: 5 of 54
- Oceanography 169
- Ecology 275
- Global and Planetary Change 131
- Nature and Landscape Conservation 51
- Ecological Modeling 13
Countries citing papers authored by Stephen Chan
This map shows the geographic impact of Stephen Chan'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 Stephen Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Chan more than expected).
Fields of papers citing papers by Stephen Chan
This network shows the impact of papers produced by Stephen Chan. 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 Stephen Chan. The network helps show where Stephen Chan may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen Chan, 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 | 2015 | 260 | |
| 2 | 2021 | 42 | |
| 3 | 2021 | 32 | |
| 4 | 2020 | 17 | |
| 5 | 2022 | 15 | |
| 6 | 2008 | 2 | |
| 7 | 2025 | 1 | |
| 8 | 2019 | 1 |
About Stephen Chan
Stephen Chan is a scholar working on Ecology, Artificial Intelligence, Global and Planetary Change, Oceanography and Computer Networks and Communications, having authored 8 papers that have together received 370 indexed citations. Recurring topics across this work include Coral and Marine Ecosystems Studies (4 papers), Marine and fisheries research (3 papers), Data Stream Mining Techniques (1 paper), Species Distribution and Climate Change (1 paper), Multilevel Inverters and Converters (1 paper), Domain Adaptation and Few-Shot Learning (1 paper), COVID-19 diagnosis using AI (1 paper) and Biomedical Text Mining and Ontologies (1 paper). The work is most often cited by research in Oceanography (169 citations), Ecology (275 citations), Global and Planetary Change (131 citations), Nature and Landscape Conservation (51 citations) and Ecological Modeling (13 citations). Stephen Chan has collaborated with scholars based in United States, Canada and Puerto Rico. Frequent co-authors include David Kriegman, Oscar Beijbom, B. Greg Mitchell, Chris Roelfsema, Vincent W. Moriarty, Tali Treibitz, Tung‐Yung Fan, David I. Kline, Jennifer E. Smith and Benjamin P. Neal. Their work appears in journals such as ACM Transactions on Cyber-Physical Systems, Electronics Letters, Coral Reefs, PLoS ONE and Limnology and Oceanography.
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.