J. Chan

21.6k total citations
14 papers, 139 citations indexed

About

J. Chan is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, J. Chan has authored 14 papers receiving a total of 139 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Nuclear and High Energy Physics, 2 papers in Computer Networks and Communications and 2 papers in Artificial Intelligence. Recurrent topics in J. Chan's work include Particle physics theoretical and experimental studies (9 papers), Particle Detector Development and Performance (6 papers) and High-Energy Particle Collisions Research (5 papers). J. Chan is often cited by papers focused on Particle physics theoretical and experimental studies (9 papers), Particle Detector Development and Performance (6 papers) and High-Energy Particle Collisions Research (5 papers). J. Chan collaborates with scholars based in United States, Switzerland and Poland. J. Chan's co-authors include Benjamin Nachman, W. Guan, Ricardo C. Araneda, Miron Livny, Alberto Di Meglio, A. DeSouza, Richard S. Smith, Rui Hu, Shinjae Yoo and C. Zhou and has published in prestigious journals such as Journal of Neuroscience, Biotechnology and Bioengineering and Journal of High Energy Physics.

In The Last Decade

J. Chan

13 papers receiving 135 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Chan United States 6 58 36 28 26 17 14 139
L. Xia China 4 38 0.7× 31 0.9× 7 0.3× 45 1.7× 9 0.5× 10 185
M. Richter Poland 7 14 0.2× 32 0.9× 3 0.1× 6 0.2× 30 1.8× 19 111
F. Fratnik Italy 5 8 0.1× 16 0.4× 8 0.3× 11 0.4× 5 0.3× 9 71
Elena S. Ackley United States 6 39 0.7× 4 0.1× 3 0.1× 12 0.5× 24 1.4× 11 251
Sergei Gulyaev New Zealand 6 41 0.7× 32 0.9× 2 0.1× 14 0.5× 9 0.5× 26 213
E. Ros Spain 9 6 0.1× 187 5.2× 8 0.3× 11 0.4× 18 1.1× 31 261
Leonid Petrov United States 7 45 0.8× 3 0.1× 44 1.6× 4 0.2× 4 0.2× 20 223
Ognjen Marković United States 7 71 1.2× 3 0.1× 2 0.1× 5 0.2× 174 10.2× 9 302
Ran J. Tessler Israel 7 12 0.2× 13 0.4× 1 0.0× 9 0.3× 4 0.2× 19 201
Shuyang Cao United States 9 221 3.8× 25 0.7× 3 0.1× 2 0.1× 13 0.8× 19 330

Countries citing papers authored by J. Chan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of J. Chan

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

All Works

14 of 14 papers shown
1.
Rezvani, R., Rochelle Aw, J. Chan, et al.. (2025). Scalable Cell‐Free Production of Active T7 RNA Polymerase. Biotechnology and Bioengineering. 122(8). 2241–2250. 1 indexed citations
2.
Chan, J., et al.. (2025). Integrating particle flavor into deep learning models for hadronization. Physical review. D. 111(11).
3.
Sharifi, Guive, Ramtin Hajibeygi, Mobina Fathi, et al.. (2024). Diagnostic performance of neural network algorithms in skull fracture detection on CT scans: a systematic review and meta-analysis. Emergency Radiology. 32(1). 97–111. 6 indexed citations
4.
Chan, J. & Benjamin Nachman. (2023). Unbinned profiled unfolding. Physical review. D. 108(1). 8 indexed citations
5.
Chan, J., et al.. (2023). Fitting a deep generative hadronization model. Journal of High Energy Physics. 2023(9). 13 indexed citations
6.
Wu, S. L., J. Chan, W. Guan, et al.. (2022). Application of Quantum Machine Learning to HEP Analysis at LHC Using Quantum Computer Simulators and Quantum Computer Hardware. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 842–842. 2 indexed citations
7.
Wu, S. L., J. Chan, W. Guan, et al.. (2021). Application of quantum machine learning using the quantum variational classifier method to high energy physics analysis at the LHC on IBM quantum computer simulator and hardware with 10 qubits. Journal of Physics G Nuclear and Particle Physics. 48(12). 125003–125003. 52 indexed citations
8.
Zhou, C., J. Chan, W. Guan, et al.. (2021). Application of Quantum Machine Learning to High Energy Physics Analysis at LHC using IBM Quantum Computer Simulators and IBM Quantum Computer Hardware. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 930–930. 2 indexed citations
9.
Chan, J., W. Guan, S. Sun, et al.. (2019). Application of Quantum Machine Learning to High Energy Physics Analysis at LHC using IBM Quantum Computer Simulators and IBM Quantum Computer Hardware. 116. 3 indexed citations
10.
Heideman, J., D. Pérez–Loureiro, R. Grzywacz, et al.. (2019). Conceptual design and first results for a neutron detector with interaction localization capabilities. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 946. 162528–162528. 4 indexed citations
11.
Chan, J., W. Guan, S. Sun, et al.. (2019). Application of Quantum Machine Learning to High Energy Physics Analysis at LHC using IBM Quantum Computer Simulators and IBM Quantum Computer Hardware. CERN Document Server (European Organization for Nuclear Research). 49–49. 5 indexed citations
12.
Chan, J., et al.. (2017). Vector boson fusion versus gluon fusion. Physical review. D. 96(9). 4 indexed citations
13.
Smith, Richard S., et al.. (2015). Differential Muscarinic Modulation in the Olfactory Bulb. Journal of Neuroscience. 35(30). 10773–10785. 37 indexed citations
14.
Gao, Yan, et al.. (2003). Deformation Patterns of a Micropositioning Table under a Moving Force. Key engineering materials. 238-239. 363–368. 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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