J. Chan
Impact in
- Sensory Systems top 10%
- Olfactory and Sensory Function Studies
-
- Particle physics theoretical and experimental studies
- Particle Detector Development and Performance
- High-Energy Particle Collisions Research
Papers in
-
- Particle physics theoretical and experimental studies 9
- Particle Detector Development and Performance 6
- High-Energy Particle Collisions Research 5
- Dark Matter and Cosmic Phenomena 1
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- Distributed and Parallel Computing Systems 2
- Co-authors
- Benjamin Nachman (3 shared papers)Miron Livny (5 shared papers)A. DeSouza (1 shared paper)W. Guan (5 shared papers)Rui Hu (1 shared paper)Richard S. Smith (1 shared paper)Ricardo C. Araneda (1 shared paper)Alberto Di Meglio (5 shared papers)
- Journals
- Physical review. D (3 papers)Biotechnology and Bioengineering (1 paper)Journal of Physics G Nuclear and Particle Physics (1 paper)Journal of Neuroscience (1 paper)Journal of High Energy Physics (1 paper)
- Partner nations
- United StatesSwitzerlandPoland
In The Last Decade
J. Chan
13 papers receiving 135 citations
Peers
Comparison fields: 5 of 50
- Sensory Systems 28
- Nuclear and High Energy Physics 36
- Artificial Intelligence 58
- Computational Mathematics 1
- Cellular and Molecular Neuroscience 26
Countries citing papers authored by J. Chan
This map shows the geographic impact of J. 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 J. Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Chan more than expected).
Fields of papers citing papers by J. Chan
This network shows the impact of papers produced by J. 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 J. Chan. The network helps show where J. Chan may publish in the future.
Co-authors
The 25 scholars most cited alongside J. 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 | 2021 | 52 | |
| 2 | 2015 | 37 | |
| 3 | 2023 | 13 | |
| 4 | 2023 | 8 | |
| 5 | 2024 | 6 | |
| 6 | 2019 | 5 | |
| 7 | 2019 | 4 | |
| 8 | 2017 | 4 | |
| 9 | Application of Quantum Machine Learning to High Energy Physics Analysis at LHC using IBM Quantum Computer Simulators and IBM Quantum Computer Hardware | 2019 | 3 |
| 10 | 2022 | 2 | |
| 11 | 2003 | 2 | |
| 12 | 2021 | 2 | |
| 13 | 2025 | 1 | |
| 14 | 2025 | 0 |
About J. Chan
J. Chan is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications, Artificial Intelligence, Molecular Biology and Cellular and Molecular Neuroscience, having authored 14 papers that have together received 139 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (9 papers), Particle Detector Development and Performance (6 papers), High-Energy Particle Collisions Research (5 papers), Distributed and Parallel Computing Systems (2 papers), Dark Matter and Cosmic Phenomena (1 paper), Neurobiology and Insect Physiology Research (1 paper), Dental Radiography and Imaging (1 paper) and Advanced machining processes and optimization (1 paper). The work is most often cited by research in Sensory Systems (28 citations), Nuclear and High Energy Physics (36 citations), Artificial Intelligence (58 citations), Computational Mathematics (1 citation) and Cellular and Molecular Neuroscience (26 citations). J. Chan has collaborated with scholars based in United States, Switzerland and Poland. Frequent co-authors include Benjamin Nachman, Miron Livny, A. DeSouza, W. Guan, Rui Hu, Richard S. Smith, Ricardo C. Araneda, Alberto Di Meglio, Federico Carminati and Samuel Yen-Chi Chen. Their work appears in journals such as Physical review. D, Biotechnology and Bioengineering, Journal of Physics G Nuclear and Particle Physics, Journal of Neuroscience and Journal of High Energy Physics.
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.